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About the Role

We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.

This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.

This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.

Responsibilities

• Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
• Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
• Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
• Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
• Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
• Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
• Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
• Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.

Qualifications

• Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
• Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
• Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
• Advanced knowledge of Kubernetes and Terraform in production environments.
• Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
• Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
• Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
• Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
• Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
• Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
• Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
• Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
• We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for 

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

Your Experience at a Glance

We’re hiring a Data Scientist for our client delivers advanced data, analytics, and digital transformation solutions to help organizations modernize and drive business insights.

As a Data Scientist, you will play a key role in developing and deploying demand forecasting and pricing models, leveraging advanced statistical and machine learning techniques. You will collaborate closely with data engineers and business stakeholders to extract, transform, and analyze large datasets, ensuring robust and scalable solutions. This position requires strong ownership of model development, from data pipeline integration to model evaluation and reporting. Your work will directly impact business decision-making and operational efficiency, contributing to KPIP’s mission of enabling data-driven transformation.

KPIP is a global consulting and technology services firm specialising in data, analytics, and digital transformation. Serving a diverse range of industries, KPIP empowers organisations to modernize their data ecosystems and unlock actionable business insights. The company is recognized for its expertise in delivering scalable solutions, fostering a culture of innovation, and driving measurable impact for clients worldwide.

Key Responsibilities

● Develop and implement demand forecasting and pricing models using advanced statistical and machine learning techniques.

● Extract, transform, and analyze large datasets using Python and SQL to support model development and business insights.

● Collaborate with data engineers to build and maintain robust, scalable data pipelines for model training and inference.

● Apply regression, classification, time-series forecasting, ensemble methods, and feature engineering to solve business problems.

● Work with business stakeholders to understand requirements and translate them into actionable data science solutions.

● Create automated reports and dashboards to present and track model outputs and performance.

● Continuously evaluate and improve model accuracy and effectiveness based on business feedback and new data.

● Document methodologies, processes, and results to ensure transparency and reproducibility.

● Stay updated with the latest advancements in data science and machine learning to drive innovation within the team.

Required Skills

● Proven experience in demand forecasting and predictive modeling.

● Strong proficiency in Python, including pandas, NumPy, scikit-learn, and TensorFlow or PyTorch.

● Expertise in SQL for data extraction and transformation.

● Solid understanding of statistical and machine learning techniques such as regression, classification, time-series forecasting, ensemble methods, and feature engineering.

● Ability to analyze and interpret large, complex datasets to generate actionable insights.

● Experience collaborating with data engineers to develop scalable data pipelines.

● Strong problem-solving skills and attention to detail.

● Excellent communication skills for presenting technical concepts to non-technical stakeholders.

Nice to Have

● Experience with customer segmentation, recommendation systems, and sentiment analysis.

● Knowledge of inventory optimization, promotion uplift modeling, and campaign analysis.

● Familiarity with churn prediction models.

● Proficiency in Power BI for creating automated reports and dashboards.

● Experience in developing and maintaining data pipelines for model training and inference.

Why Join?

Join to work on impactful data science projects that drive real business outcomes and innovation. You’ll tackle complex technical challenges, collaborate with talented professionals, and have opportunities for continuous learning and growth, fosters a culture of collaboration, excellence, and data-driven decision-making, empowering you to make a meaningful difference in a dynamic environment.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.

Job Title : SDE 3 – Infrastructure Platform Engineer

Experience : 5.5 to 8.5 Years

Number of Positions : 2

Employment Type : C2H (Contract to Hire)

Work Mode : Remote during contractual period → 5 Days WFO after conversion

Contract Duration : 3 Months

Post-Conversion Location : Pune

Notice Period : Immediate Joiners / Serving Notice Period / Up to 15 Days preferred

(Candidates officially serving a 30-day notice period may also be considered if they are on the bench and have a negotiable joining date)

Role Overview :

We are looking for an experienced SDE 3 – Infrastructure Platform Engineer to design, build, and operate scalable, secure, and highly reliable cloud infrastructure and internal platform capabilities.

The ideal candidate will have strong hands-on experience in Cloud Infrastructure, Infrastructure as Code (IaC), CI/CD, Docker, Kubernetes, automation, observability, networking, and distributed systems.

Mandatory Skills : AWS / Azure / GCP, Terraform / CloudFormation, Kubernetes, Docker, CI/CD, Platform / Infrastructure Engineering, Python / Go / Java / Ruby, Networking, Cloud Security, Distributed Systems, Scalability & Reliability, Strong Coding & Automation.

Key Responsibilities :

• Design and maintain scalable, highly available infrastructure on AWS / GCP / Azure.
• Build and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
• Develop automation for infrastructure provisioning, deployments, monitoring, and operations.
• Manage and optimize Docker and Kubernetes workloads.
• Build internal platform tools to improve developer productivity and engineering efficiency.
• Implement monitoring, logging, alerting, and observability solutions.
• Participate in incident response, RCA, postmortems, and reliability improvements.
• Design and improve CI/CD pipelines and deployment automation.
• Contribute to system design, architecture discussions, scalability, security, and cost optimization.
• Collaborate with application, data, and product engineering teams.

Required Skills :

• 5.5 to 8.5 years of experience in Infrastructure / Platform Engineering or similar roles.
• Strong hands-on experience with AWS, GCP, or Azure.
• Strong expertise in Terraform / CloudFormation.
• Experience with CI/CD, Docker, and Kubernetes.
• Strong programming skills in at least one of:
• Python, Go, Java, or Ruby.
• Good understanding of networking, cloud security, distributed systems, scalability, and reliability.
• Experience working with production infrastructure and highly available systems.
• Strong troubleshooting and problem-solving skills.

Nice to Have :

• Experience with SRE practices and production on-call ownership.
• Experience in fintech, payments, banking, or transaction-heavy systems.
• Knowledge of cloud security, compliance, or FinOps/cost optimization.
• Experience building internal developer platforms or productivity tools.
• Previous product company experience.

Interview Process :

Round 1 : Take-Home Coding Assignment – Submit within 48 hours

Round 2 : Coding Assignment Discussion – 1 Hour

Round 3 : Technical Managerial Round – 30 Minutes

Note : The take-home coding assignment is mandatory. Candidates should be comfortable completing and submitting the assignment within 48 hours before proceeding.

Ideal Candidate :

Strong Platform / Infrastructure Engineer with hands-on experience in :

Cloud + Terraform / CloudFormation + Kubernetes + CI/CD + Programming + SRE / Production Operations

Pure DevOps profiles without strong coding and platform engineering experience are not preferred.

Technical Architect – Product Engineering

Experience: 15+ Years

Location: Pune, India

Employment Type: Full-time

Desired Skills: Python, Technical Architecture, AWS, Microservices, SaaS / Multi-tenant Architecture, Kubernetes, System Design

About the Role

We are looking for a Senior Technical Architect to lead the architecture, design, and technical evolution of an enterprise SaaS product. This is a hands-on leadership role requiring deep technical expertise, strong product engineering experience, and the ability to build scalable, secure, and high-performance platforms.

The ideal candidate should be passionate about solving complex engineering problems, driving innovation, mentoring development teams, and effectively leveraging AI to accelerate software development.

Key Responsibilities

• Own the overall product architecture and technical roadmap.
• Design and build scalable, secure, and highly available enterprise applications.
• Lead the design and implementation of new product features from concept to production.
• Remain hands-on with coding and contribute to critical product components.
• Drive architecture reviews, code quality, performance optimization, and engineering best practices.
• Lead cloud architecture, security, scalability, and DevOps initiatives.
• Evaluate and adopt modern technologies to improve product capabilities and engineering efficiency.
• Leverage AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, etc.) to accelerate software development, code reviews, testing, documentation, debugging, and productivity.

Required Skills & Qualifications

• 15+ years of software product engineering experience with at least 5 years in a Technical Architect role.
• Strong hands-on expertise in Python and modern backend frameworks.
• Deep experience with AWS services and cloud-native application architecture.
• Strong understanding of DevOps, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), Docker, Kubernetes, and container orchestration.
• Experience designing microservices, REST APIs, event-driven architectures, and distributed systems.
• Strong knowledge of SQL and NoSQL databases.
• Experience with scalable SaaS platforms, multi-tenant architectures, and secure application design.
• Excellent understanding of software design patterns, performance tuning, observability, and system reliability.
• Strong analytical, problem-solving, and decision-making skills.

Golang Developer

Experience: 6-8 years

Employment Type: Contractual, Full-time

Desired Skill: Golang, GRPC, RestAPIs, AWS

Work Mode: Pune, India

Availability: Immediate Joiners

This is the contractual opportunity on a full time basis.

Must have skills:

● 6+years of Software Development experience

● 5+years of GoLang programming; Prefers additional proficiency in either Java or Python

● Knowledgeable in writing REST APIs

● Comfortable programming in production grade systems

● Experience with building HTTP based services

● Strong background of optimizing performance

● Familiarity with event-driven systems

● Experience dealing with highly concurrent, distributed architectures/systems.

Good to have skills:

• Exposure to relational databases
• Experience with Cloud Providers such as AWS is an advantage; cloud privileged access (CIEM, IAM roles, ephemeral credentials)
• Experience using Terraform to manage infrastructure as code would be an advantage
• Hands-on experience building or extending Privileged Access Management (PAM) capabilities — credential vaulting, secrets management, password rotation, just-in-time / time-bound privileged access
• Working knowledge of privileged session management and session recording — session proxying/brokering, keystroke and video capture, session replay, live monitoring and termination, tamper-evident audit trails
• Familiarity with remote access protocols and gateways — SSH, RDP, HTTPS/web-based sessions; protocol proxying and man-in-the-middle session interception

About the Role

We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.

This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.

As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.

This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.

Key Responsibilities

Customer Discovery & Solutioning

• Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
• Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
• Translate business requirements into high-level cloud and AI solution architectures.
• Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.

Cloud Transformation Consulting

• Support customer initiatives across:
• Cloud Migration
• Application Modernization
• DevOps Transformation
• Managed Services
• Security & Compliance
• Resilience & Disaster Recovery
• Conduct cloud assessments and migration readiness evaluations.
• Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
• Leverage AWS programs and frameworks such as:
• Migration Acceleration Program (MAP)
• AWS Well-Architected Framework (WAFR)
• Foundational Technical Review (FTR)

AI & GenAI Solution Consulting

• Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
• Participate in AI discovery workshops and business value discussions.
• Support solution design for AI-powered applications leveraging AWS AI services.
• Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
• Assist customers in identifying suitable use cases for:
• Generative AI
• AI Assistants
• Knowledge Management Solutions
• Intelligent Automation
• Conversational AI

Proposal Development & Technical Presales

• Collaborate with Solution Architects to create:
• Technical Proposals
• Architecture Diagrams
• Effort Estimates
• Statements of Work (SOWs)
• Technical Responses to RFPs/RFIs
• Present solutions, recommendations, and technical approaches to customer stakeholders.
• Support Proof of Concepts (PoCs), demonstrations, and technical validations.
• Participate in technical reviews and solution walkthroughs.

Customer Engagement & Thought Leadership

• Attend customer meetings jointly with Sales teams to provide technical expertise.
• Build credibility and trust with customer technical and business stakeholders.
• Contribute to webinars, workshops, technical presentations, and customer-facing events.
• Write blogs, case studies, solution briefs, and technical content that supports business growth.
• Maintain an active presence in cloud and AI communities.

Collaboration & Knowledge Management

• Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
• Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
• Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
• Contribute to internal capability building and knowledge-sharing initiatives.

Travel & Customer Interaction

• Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
• Represent Comprinno professionally during all customer-facing interactions.

Required Qualifications & Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
• Strong understanding of AWS cloud services across:
• Compute
• Networking
• Storage
• Security
• Databases
• Knowledge of cloud migration and modernization frameworks such as AWS MAP.
• Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
• Understanding of:
• Kubernetes
• Containerization
• Cloud-Native Architectures
• DevOps Practices
• Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
• Ability to create:
• Solution Documents
• Architecture Diagrams
• Technical Proposals
• Effort Estimates
• Statements of Work
• Understanding of Generative AI concepts including:
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Assistants
• Agentic AI Concepts
• Familiarity with AWS AI services such as:
• Amazon Bedrock
• Amazon SageMaker
• Amazon Q
• AWS Solutions Architect – Professional Certification.
• Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
• Familiarity with AI frameworks such as:
• LangChain
• LangGraph
• CrewAI
• OpenAI APIs
• Anthropic APIs
• Strong communication, presentation, and stakeholder management skills.
• Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
• Experience contributing to webinars, blogs, case studies, or technical marketing content.
• AWS Solutions Architect – Associate Certification (Mandatory).
• Customer-centric mindset with strong problem-solving abilities.

Desired Qualifications & Skills

• AWS Specialty Certifications such as:
• Security Specialty
• Advanced Networking Specialty
• Machine Learning Specialty
• DevOps Engineer Professional
• Understanding of compliance frameworks such as:
• ISO 27001
• SOC 2
• HIPAA
• MBA or equivalent business qualification.
• Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.

What We're Looking For

• Strong consulting mindset with the ability to understand customer business challenges.
• Excellent communication and presentation skills.
• Ability to balance technical depth with business value articulation.
• Passion for cloud technologies, AI, and emerging innovation.
• Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
• High ownership and accountability.
• Curiosity and continuous learning mindset.
• Willingness to travel and work from customer locations across India and internationally as required by project engagements.

What Success Looks Like

• Consistently contributes to qualified pipeline creation and deal progression.
• Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
• Builds credibility with customers through strong technical consulting and solution design.
• Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
• Develops reusable presales assets, assessment frameworks, and solution accelerators.
• Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
• Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.

Why Join Comprinno

• Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
• Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
• Collaborate directly with enterprise customers and influence strategic technology decisions.
• Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
• Contribute to innovative solutions including Tevico and future AI-powered offerings.
• Build thought leadership through webinars, blogs, events, and community participation.
• Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.

🚀Job Title : Senior Backend Engineer (Java / Golang) SDE 3

Experience : 5 to 12 Years

Positions : 4

Employment Type : C2H (Contract to Hire)

Contract Duration : 3 Months

Location : Remote during contract → Pune after conversion

Work Mode After Conversion : 5 Days WFO

Notice Period : Immediate / Serving Notice / Up to 15 Days preferred

Mandatory Skills : Golang (1+ year mandatory), 5+ years Backend Development, System Design, Distributed Systems, Microservices, REST / GraphQL APIs, Event-Driven Architecture, SQL & NoSQL Databases, AWS / GCP / Azure, Strong Problem-Solving & Communication Skills.

About the Role :

We are looking for an experienced Backend Engineer / SDE 3 with strong expertise in Java / Golang to design and build scalable, secure, and high-performance backend services and APIs.

The role involves hands-on coding, system design, microservices, distributed systems, and collaboration with engineering and infrastructure teams.

Must-Have Skills :

• 5+ years of backend development experience.
• Strong hands-on experience with Golang.
• Minimum 1+ year of Golang experience is mandatory.
• Strong understanding of System Design & Distributed Systems.
• Experience with REST / GraphQL APIs.
• Experience with Microservices and Event-Driven Architecture.
• Experience with Event Queues / Asynchronous Processing.
• Strong knowledge of Relational and NoSQL databases.
• Familiarity with AWS, GCP, or Azure.
• Strong communication and problem-solving skills.

Important Note for Java Candidates :

Java candidates can be considered only if they have at least 1+ year of hands-on Golang experience and are willing to work in Golang.

Candidates with less than 1 year of Golang experience will not be considered.

Good to Have :

• Experience in Fintech / Payments / Transaction-heavy systems
• Docker & Kubernetes
• Datadog / Prometheus / Grafana
• CI/CD experience
• Exposure to Java or Ruby

Key Responsibilities :

• Design, develop, and maintain scalable backend services using Golang.
• Build reliable, secure, and high-performance microservices and APIs.
• Implement event-driven and asynchronous processing systems.
• Work on system architecture, scalability, performance, and reliability.
• Participate in system design, code reviews, and technical discussions.
• Collaborate with mobile, web, and infrastructure teams.
• Develop unit, integration, and performance tests.
• Contribute to CI/CD, observability, documentation, and engineering best practices.

Interview Process :

Round 1 : Take-Home Coding Assessment – Submission within 48 hours

Round 2 : Code Pairing – Problem Extension

Round 3 : Culture Fitment

Hiring for Senior Devops Engineer - AWS

Exp : 6 - 8 yrs

Edu : BE/B.Tech

Work Location : Pune WFO

Notice Period : Immediate - 15 days

Skills :

5+ years of hands-on experience in DevOps Engineering and Infrastructure Management.

Exp with AWS Cloud, including EC2, S3, VPC, EKS, Lambda, IAM, CloudWatch, and other core AWS services.

Exp in Terraform for Infrastructure as Code (IaC).

Exp with Kubernetes (EKS) and Helm for container orchestration and deployment.

Good knowledge of Monitoring & Observability tools such as Grafana and Prometheus.

Job description: Data Architect – Databricks / AWS

Job Summary

We are looking for an experienced Data Architect to define and drive the target data architecture for the Horizon MVP and its future evolution. The role will be responsible for designing a scalable, secure, governed cloud data platform covering ingestion, storage, processing, analytics, APIs, and downstream data consumption.

The architect will work closely with Data Engineering, Backend, DevOps, QA, and business stakeholders to establish architecture standards and ensure the platform is ready for advanced analytics, AI/ML, vector storage, and future LLM-based capabilities.

• Job Title: Data Architect
• Experience: 8+ Years
• Relevant Architecture Experience: 3+ Years in Data Architecture
• Location: Chennai / Pune
• Work Mode: Hybrid – 3 Days WFO
• Budget: Up to 24 LPA
• Payroll: Haparz
• Notice Period: Immediate Preferred

Key Responsibilities

• Define the target data architecture for the Horizon MVP and establish an architecture roadmap for future scalability.
• Design end-to-end architecture covering data ingestion, storage, processing, serving, reporting, APIs, and downstream applications.
• Establish canonical data models and schemas for travel signals, corridors, sources, evidence, scores, and generated insights.
• Define data normalization strategies for structured, semi-structured, and unstructured data from multiple external sources.
• Design and govern the Databricks platform architecture, including Unity Catalog, data schemas, access controls, and governance standards.
• Establish data-retention, lineage, data-quality, security, privacy, and compliance controls.
• Define secure integration patterns between Databricks, AWS PRODIGY, SharePoint, external APIs, and downstream applications.
• Design scalable data processing for 30-day signal windows, convergence/divergence scoring, corridor ranking, and spike detection.
• Define architecture patterns that support future vector storage, embeddings, LLM integration, and multi-year analytics.
• Design reliable batch and API-driven ingestion frameworks for structured and unstructured data.
• Review technical designs, identify architectural risks, and provide technical direction to engineering teams.
• Guide backend, data engineering, DevOps, and QA teams in implementing architecture standards.
• Ensure architecture decisions align with enterprise security, RBAC, PII handling, privacy, and operational requirements.
• Communicate architecture decisions, trade-offs, and technical recommendations effectively to technical and business stakeholders.
• 
  

What We’re Looking For

• 8+ years of experience in data engineering, data platforms, or data architecture, with at least 3+ years in a Data Architect capacity.
• Strong hands-on experience designing cloud-based data platforms, lakehouses, or analytical platforms.
• Advanced knowledge of Databricks, Apache Spark/PySpark, Delta Lake, and Unity Catalog.
• Strong understanding of AWS data services, IAM, networking, and secure cloud integration patterns.
• Strong expertise in data modelling, metadata management, data lineage, data quality, retention, and governance.
• Experience architecting batch and API-based ingestion pipelines for structured, semi-structured, and unstructured data.
• Understanding of AI/ML workloads, feature pipelines, vector databases, embeddings, and LLM integration patterns.
• Experience designing APIs and downstream data-serving architectures.
• Strong knowledge of PII protection, RBAC, data privacy, and enterprise security controls.
• Excellent architectural communication and stakeholder-management skills.

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description

We're seeking an experienced Senior Backend Engineer/Tech Lead to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic. Also, guiding the mentoring the junior team members

Responsibilities

• Design, develop, and deploy backend systems, including APIs, databases, and server-side logic
• Write clean, efficient, and well-documented code that adheres to industry standards and best practices
• Code Quality: Ensure code quality through code reviews, adherence to best practices, and continuous improvement
• Mentorship: Guide and mentor team members, fostering growth and innovation
• Collaboration: Work closely with stakeholders to align technical goals with business objectives
• Problem-Solving: Analyze and resolve technical challenges promptly
• Innovation: Stay updated with the latest technology trends and integrate them into solutions

Requirements

• At least 5+ years of experience building scalable and reliable backend systems
• Strong expertise in NodeJS/NestJS, Express, PostgreSQL
• Experience with microservices architecture and distributed systems
• Proficiency in database design (SQL and NoSQL)
• Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines
• Deep understanding of design patterns, data structures, and algorithms
• Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes
• Familiarity with Frontend Development Technologies (React, JavaScript, HTML, CSS)
• Exceptional communication and leadership skills
• Strong understanding of object-oriented programming principles and design patterns
• Familiarity with automated testing frameworks and methodologies
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to effectively lead and maintain a collaborative team environment

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

As a Senior Full Stack Engineer, become part of a cross-functional development team engineering experiences of tomorrow.

Project Description: Client is looking for a Senior Software Engineer will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, etc), product, as well as other parts of the organization. They craft applications in Java/Kotlin, leveraging AWS, CircleCI, and Terraform. We are always looking to adopt modern technology to solve business challenges.

Responsibilities:

Build out features and solutions to collect, moderate, and/or deliver user-generated content to our customers

Become an expert on multiple of our solutions and areas of our codebase, while understanding the larger architecture of our entire suite of solutions

Participate in technical brainstorming and knowledge transfer sessions; provide technical advice at a team level and a department level

Communicate across teams by collaborating with fellow engineers, product managers, UX designers, operations, and other development teams to build a holistic experience

Proactively identify pain points and potential issues within our architecture and code base, and proactively tackle tech debt

Contribute to each step of the product development process, from ideation and design, to planning and architecting, to building out the solution and infrastructure, to testing, to releasing, and maintenance

Participate, build, and implement department CI/CD, application monitoring, security, and general developer tooling initiatives

Other duties as assigned

Requirements:

6+ years of full-stack application development in our language stack (Kotlin, Java) and with AWS

5+ years of experience developing APIs for front-end applications

5+ years of strong experience with relational databases (PostgreSQL, MySQL) and large data sets

2+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, Drone, GitHub Actions)

2+ years of experience leveraging infrastructure as code using Terraform

1+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns

Previous experience leveraging automated database DDL (Liquibase, Flyway)

Previous experience leveraging automated database DDL (Liquibase, Flyway)

Previous experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL)

Previous experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm)

Experience with source control tools such as Git

Job Title: DevOps Manager

Experience: 8+ Years

Location: Pune

Employment Type: Full-time

About the Role

We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.

Key Responsibilities

• Lead and mentor the DevOps engineering team.

• Design, implement, and optimize CI/CD pipelines and deployment processes.

• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.

• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.

• Manage Docker and Kubernetes based environments.

• Develop and maintain automation scripts using Shell/Bash Scripting and Python.

• Implement monitoring, logging, alerting, and observability.

• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.

• Drive infrastructure security, performance, scalability, and cloud cost optimization.

• Collaborate with Development, QA, Security, Architecture, and Delivery teams.

Required Skills & Qualifications

• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.

• Strong hands-on experience in Shell / Bash Scripting.

• Experience with AWS / Azure / GCP cloud platforms.

• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.

• Hands-on experience with Docker, Kubernetes, and Helm.

• Strong experience with Terraform and Ansible.

• Experience with Linux administration, Git, networking, IAM, and cloud security.

• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.

• Strong troubleshooting, communication, stakeholder management, and team leadership skills.

Preferred Skills (Nice to Have)

• Python scripting experience.

• Cloud / Kubernetes / Terraform certifications.

• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.

Role:  Fullstack .NET Engineer- Angular

Experience: 10+ Years

Employment Type: Full-time 

Location: Pune, Balewadi, Laxman Nagar (Hybrid)

Job Description

About the Role

We are looking for an experienced Fullstack .NET Engineer to join our engineering team. You will design, build, and maintain scalable, cloud-based applications end to end — from robust .NET Core APIs and services to responsive Angular front-ends deployed on AWS. Beyond hands-on delivery, you will help champion the responsible adoption of AI-assisted engineering practices across teams, raising the bar on productivity, quality, testing, documentation, onboarding, and delivery efficiency.

This role suits a senior engineer who combines deep technical craftsmanship with strong communication and a collaborative mindset, and who is eager to shape how modern, AI-augmented software is built at scale.

Key Responsibilities

• Design, develop, test, and maintain end-to-end features across the stack using .NET, .NET Core, and modern front-end technologies.
• Build and integrate secure, high-performance RESTful APIs and microservices.
• Develop responsive, maintainable user interfaces using Angular and modern JavaScript/TypeScript.
• Build, Deploy, and operate applications on AWS, leveraging core cloud services for compute, storage, messaging, and observability.
• Adoption of AI-assisted engineering practices across teams to improve productivity, code quality, testing, documentation, onboarding, and overall delivery efficiency.
• Write clean, well-tested, and well-documented code; contribute to automated testing and CI/CD pipelines.
• Collaborate closely with product managers, designers, and fellow engineers to translate requirements into reliable software.
• Participate in code reviews, technical design discussions, and continuous improvement of engineering standards.
• Mentor peers and help onboard new team members, sharing best practices and knowledge.

Required Skills & Experience

• ~10 years of professional software engineering experience in Fullstack development.
• Strong hands-on expertise in .NET and .NET Core with understanding of design patterns.
• Proven experience in API development (RESTful services, microservices, integrations).
• Strong experience in Docker and Containerization.
• Experience working with code quality tools (Ex.- SonarQube, Veracode), familiarity with secure code writing best practices.
• Strong analytical and troubleshooting skills using tools like CloudWatch, Datadog.
• Solid front-end development skills with Angular and JavaScript/TypeScript.
• Practical experience building and deploying applications using AWS services.
• Strong understanding of software design principles, data structures, and testing practices.
• Hands-on experience with AI coding assistants and applying them within team workflows.
• Excellent communication skills — able to collaborate effectively and articulate technical concepts clearly.
• Experience working in Agile/Scrum delivery environments.
• Interest in and openness to adopting AI-assisted engineering tools and practices responsibly.

Nice to Have

• Familiarity with CI/CD tooling and infrastructure-as-code.
• Exposure to SQL and NoSQL databases and performance tuning.
• Knowledge of Three.js/Babylon.js, 3D graphics development, and vector mathematics for building interactive, high-performance web-based visualization applications.   

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description

We are looking for a passionate and experienced Backend Engineer (Python) to join our engineering team. The ideal candidate will have strong expertise in backend development, API design, scalable application architecture, and SaaS applications, along with exposure to data processing, ETL workflows, and data integration. Familiarity with React and frontend technologies is an added advantage.

You will collaborate with cross-functional teams to build, enhance, and maintain robust, secure, and high-performance applications while contributing to backend services, data workflows, and cloud-based systems.

Roles and Responsibilities

• Design, develop, and maintain scalable and high-performance web applications and backend services.
• Develop secure, efficient, and reliable backend services and RESTful APIs using Python.(Django/Flask)
• Design and implement scalable microservices and distributed application components.
• Collaborate with frontend engineers and contribute to React-based features or integrations when required.
• Develop, maintain, and support ETL/data processing workflows for extracting, transforming, and loading data across systems.
• Build Python-based data processing scripts, services, and integrations to support application and business requirements.
• Work with relational databases to support data extraction, transformation, validation, and loading processes.
• Collaborate with data and engineering teams to improve data quality, reliability, and processing efficiency.
• Work closely with product managers, designers, QA engineers, DevOps, data engineers, and other stakeholders to deliver high-quality features.
• Write clean, maintainable, reusable, and testable code following software engineering best practices.
• Participate in code reviews and contribute to coding standards, engineering practices, and technical improvements.
• Optimize applications, APIs, databases, ETL processes, and backend services for performance, reliability, and scalability.
• Troubleshoot, diagnose, and resolve application, data processing, and production issues.
• Contribute to system architecture, technical design decisions, and continuous improvement initiatives.
• Develop and maintain automated tests to ensure application quality and reliability.
• Collaborate with DevOps teams to support CI/CD pipelines, containerized deployments, cloud-based applications, and deployment automation.
• Monitor and support backend services and data workflows in development, staging, and production environments

Requirements

• 3 to 6 years of professional experience in Backend Development using Python.
• Strong hands-on experience with Python backend frameworks such as Django and Flask.
• Experience building and supporting SaaS applications, with exposure to microservices, caching, pub-sub, messaging technologies, RESTful APIs, and distributed systems.
• Exposure to ETL processes, data pipelines, data integration, or data processing using Python. (Preferred)
• Understanding of ETL concepts such as data extraction, transformation, validation, loading, and data quality.(Preferred)
• Experience working with relational databases, preferably PostgreSQL, for application development and/or data processing workflows.
• Strong understanding of databases such as PostgreSQL, MySQL, MongoDB, or SQL Server.
• Familiarity with frontend technologies, particularly React, is an advantage.
• Experience with version control systems such as Git.
• Exposure to technologies such as Kafka, Redis, Elasticsearch, Redshift, Nginx, and GraphQL is a plus.
• Exposure to data technologies or tools such as Airflow, Pandas, SQLAlchemy, Spark, or similar data processing frameworks is a plus.
• Strong foundation in computer science, including data structures, algorithms, object-oriented programming, and software design principles.
• Familiarity with CI/CD pipelines and tools such as Jenkins.
• Good understanding of cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of software design principles, scalable application architecture, and data structures.
• Experience with containerization technologies such as Docker.
• Knowledge of automated testing frameworks and best practices.
• Experience working in Agile/Scrum environments.
• Strong problem-solving, analytical, communication, and collaboration skills.

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

Key Responsibilities

Build and maintain data transformation pipelines using java Spark

Develop and optimize large-scale/CPU intensive data processing using Apache Spark

Orchestrate workflows using Airflow

Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage

Support schema evolution, backfills, and incremental processing

Ensure pipelines meet SLAs for freshness, reliability, and performance

Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

Strong hands-on experience with Apache Spark

Experience with HBase/SQL or similar lakehouse query engines

Airflow 

Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)

Proficiency in Java

Experience with Git-based development and CI/CD

Position: Software Developer - Golang and Angular

Location: Baner, Pune (Hybrid)

Employment Type: Full-Time

Role Summary

Key Responsibilities

 Design, develop, and maintain scalable backend applications using Golang.

 Develop and maintain RESTful APIs and microservices.

 Build and maintain frontend applications using Angular, TypeScript, JavaScript, HTML, and CSS.

 Develop cloud-native solutions using AWS, including AWS Lambda and other serverless services where appropriate.

 Integrate applications with SQL/NoSQL databases and third-party services.

 Write clean, maintainable, and testable code following coding standards and best practices.

 Participate in solution design, code reviews, and technical discussions.

 Troubleshoot and resolve application and production issues.

 Collaborate with Product Owners, QA engineers, and development teams across India and Japan.

 Participate in Agile ceremonies including sprint planning, estimation, reviews, and retrospectives. 

Mandatory Technical Skills: 

 Strong hands-on experience with Golang.

 Experience designing and developing RESTful APIs and backend services.

 Good experience with Angular, TypeScript, JavaScript, HTML5, and CSS3.

 Hands-on experience with AWS Cloud, including:

o AWS Lambda

o API Gateway

o Amazon S3

o IAM

o CloudWatch

 Experience working with at least one SQL or NoSQL database.

 Good understanding of concurrency concepts in Go (goroutines, channels) and. Go best practices.

 Experience with Git and collaborative development workflows.

 Strong understanding of object-oriented principles, design patterns, and microservices architecture.

 Experience working in an Agile/Scrum development environment. 

Preferred Skills

 Experience with Docker and containerization.

 Exposure to Kubernetes or Amazon ECS.

 Experience with CI/CD pipelines.

 Familiarity with OAuth2, JWT, or similar authentication mechanisms.

 Experience with SQL Server, PostgreSQL, MySQL, MongoDB, or DynamoDB.

 Experience developing enterprise SaaS or B2B software products.

 Experience working with globally distributed teams.

Education

 Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.

Key Responsibilities

Build and maintain data transformation pipelines using java Spark

Develop and optimize large-scale/CPU intensive data processing using Apache Spark

Orchestrate workflows using Airflow

Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage

Support schema evolution, backfills, and incremental processing

Ensure pipelines meet SLAs for freshness, reliability, and performance

Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

Strong hands-on experience with 

HBase

Apache Spark

Experience with HBase or similar lakehouse query engines

Airflow 

Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)

Proficiency in Java

Experience with Git-based development and CI/CD

Nice-to-Have Skills

OpenTable format/Iceberg ,Apache Arrow

CDC-based analytics pipelines

Cloud platforms (AWS)

Kubernetes-based data platforms

About us

EDMO is an AI-powered company that provides enrollment-centric solutions to universities,

colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching.

EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows

not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement.

With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and

enhanced student satisfaction.

At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric.

Website - https://goedmo.com/

Position Overview

We're seeking an exceptional Lead Software Engineer / Senior Tech Lead who can energize and guide a team of brilliant engineers while driving rapid, high-quality product development using AI and innovative technologies. The ideal candidate brings deep full-stack and backend

engineering expertise combined with strong leadership capability and a hands-on approach to architecture and delivery.

Key Responsibilities

• Lead and mentor a team of 5–8 senior engineers across AI, Salesforce, and full-stack development

• Drive technical strategy and architectural decisions — including backend, API design, and system design — for EDMO's product portfolio

• Own and evolve backend architecture using Node.js / NestJS and front-end solutions in React or Angular

• Define and implement telemetry, observability, and monitoring standards (logging,tracing, alerting) across services

• Foster a culture of innovation, continuous learning, and technical excellence

• Manage sprint planning, code reviews, and technical delivery timelines

• Collaborate closely with product management and design teams

• Guide technical hiring and team scaling decisions

• Ensure code quality, security, and performance standards

• Lead technical discussions with university clients and stakeholders

• Drive adoption of best practices, tools, and development methodologies

Required Qualifications

Experience & Leadership

• 8+ years of software development experience with 3+ years in technical leadership roles

• Must have: Proven track record of leading high-performing technical teams

• Must have: Experience energizing and motivating senior engineers to achieve exceptional results

• Experience with Agile/Scrum methodologies and DevOps practices

• Excellent communication skills with ability to translate technical concepts to non-technical stakeholders

• Experience with performance management, career development, and team building

• Strong problem-solving skills and ability to make decisions under pressure

Technical Stack — Must Have

• Node.js and NestJS — production-grade backend services, microservices, and API design

• TypeScript — Good Have

• React or Angular — front-end development and component architecture

• Backend and system architecture — designing scalable, maintainable, distributed

systems

• Telemetry & monitoring — hands-on experience with logging frameworks, distributed tracing (e.g. OpenTelemetry, Datadog, New Relic, or similar), and alerting pipelines

• Cloud platforms — GCP preferred; AWS or Azure acceptable

• Databases — PostgreSQL, MongoDB, or equivalent; Redis for caching/queuing

• CI/CD — GitHub Actions, Cloud Build, or equivalent pipelines

Additional Technical Background

• Strong background across multiple domains: AI/ML integration, web development, cloud- native architecture• Microservices patterns, API gateway design, event-driven architectures

Preferred Qualifications

• Experience in EdTech, SaaS, or B2B technology companies

• Background in AI/ML or emerging technologies

• Experience scaling engineering teams from startup to growth stage

• Knowledge of the Salesforce ecosystem and integrations

• GCP certifications or demonstrated GCP production experience (Cloud Run, Pub/Sub, BigQuery, GKE)

• Experience building and operating observability stacks (dashboards, SLOs, on-call runbooks)

• MBA or advanced degree in technology or business

• Track record of successful product launches and customer implementations

• Experience working with US-based clients and distributed teams

Leadership Philosophy We Seek

• Servant Leadership: Empowering team members to achieve their best work

• Technical Excellence: Setting high standards while maintaining development velocity

• Growth Mindset: Continuously learning and helping others grow

• Results-Oriented: Delivering measurable business outcomes through technology

• Cultural Builder: Creating an inclusive, innovative, and collaborative team environment

Growth Opportunities

• Path to VP of Engineering

• Opportunity to build and scale EDMO's India engineering organization

• Lead major strategic partnerships and technical initiatives

• Drive innovation in AI-powered educational technology

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Pune

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Description – .Net Full Stack Developer

Job Title: Senior .NET Full Stack Developer

Location: Pune (3–4 Days Work from Office)

Experience: 4–8 Years

Job Summary

We are looking for a skilled and motivated Senior .NET Full Stack Developer with 4–8 years of experience in designing, developing, and deploying scalable enterprise applications. The ideal candidate should have strong expertise in .NET Core, React, and Kubernetes, with exposure to AWS being an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable web applications using .NET Core (ASP.NET Core) and React.
• Build and consume RESTful APIs and microservices.
• Develop responsive and user-friendly front-end applications using React.
• Collaborate with business stakeholders, product owners, and technical teams to gather and translate requirements into technical solutions.
• Write clean, maintainable, and high-quality code following best practices.
• Participate in code reviews, design discussions, and technical planning.
• Deploy, manage, and troubleshoot applications running on Kubernetes.
• Work closely with DevOps teams to support CI/CD pipelines and release activities.
• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve production issues and provide ongoing application support.
• Contribute to technical documentation and knowledge-sharing initiatives.

Required Skills

• 4–8 years of software development experience.
• Strong hands-on experience with C# and .NET Core / ASP.NET Core.
• Strong experience in React.js development.
• Experience building REST APIs and Microservices.
• Hands-on experience with Kubernetes.
• Experience with SQL Server or other relational databases.
• Good understanding of Git version control and CI/CD practices.
• Strong problem-solving and debugging skills.
• Excellent communication and stakeholder management skills.

Good to Have

• Experience with AWS services such as EC2, EKS, S3, Lambda, CloudWatch, or IAM.
• Experience with Docker and containerized application deployment.
• Exposure to Agile/Scrum development methodologies.

Preferred Background

• Experience working in BFSI, FinTech, Credit Risk, Lending, or Enterprise Product Development environments.
• Ability to work independently and mentor junior developers.

Work Model: Hybrid (3–4 days from Pune office)

Job Description – Lead Data Engineer (AWS + Big Data)

Location: Pune - Hybrid

Experience: 8+ Years

Role Overview

We are looking for a Lead Data Engineer with strong hands-on expertise in AWS-based Big Data platforms. The ideal candidate should have extensive implementation experience in designing and building scalable data pipelines, mentoring engineering teams, and driving technical delivery. Databricks exposure is mandatory, while deep implementation experience in Databricks is not essential. Candidates with HBase experience will be preferred.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on AWS.
• Build and optimize Big Data applications using Spark/PySpark, HBase, Hive, Kafka, and related technologies.
• Work with AWS services such as S3, Glue, Lambda, IAM, and CloudWatch for cloud-native data engineering.
• Lead technical implementation, mentor engineers, conduct code reviews, and drive engineering best practices.
• Ensure data quality, performance optimization, CI/CD adoption, and production support.

Required Skills

• Strong hands-on experience with AWS (S3, Glue, Lambda, IAM, CloudWatch)
• Apache Spark (PySpark/Scala) and Big Data ecosystem
• Databricks exposure (mandatory)
• HBase (strongly preferred)
• Python or Java, Advanced SQL
• ETL/ELT development and Data Warehousing concepts
• Apache Airflow or similar orchestration tools
• Git, CI/CD, Performance Tuning, and Data Quality

Good to Have

• Kafka / Spark Structured Streaming
• Hive, Impala, Hadoop ecosystem
• Delta Lake / Lakehouse concepts
• Snowflake or other modern cloud data platforms

Experience Required

• 8–14 years of Data Engineering experience with strong AWS implementation expertise.
• Proven experience leading technical delivery and mentoring engineering teams.
• Strong understanding of enterprise-scale data platforms and Big Data architectures.
• Ability to collaborate with architects, stakeholders, and cross-functional teams to deliver scalable solutions.

NOTE: Final Technical round is mandatory to be taken F2F from Pune, office.

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Key Responsibilities

Build and maintain data transformation pipelines using Spark

Develop and optimize large-scale/CPU intensive data processing using Apache Spark

Orchestrate workflows using Airflow

Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage

Support schema evolution, backfills, and incremental processing

Ensure pipelines meet SLAs for freshness, reliability, and performance

Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

hands-on experience with HBase

Apache Spark

Experience with HBase or similar lakehouse query engines

Airflow 

Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)

Proficiency in Java

Experience with Git-based development and CI/CD

Nice-to-Have Skills

OpenTable format/Iceberg ,Apache Arrow

CDC-based analytics pipelines

Cloud platforms (AWS)

Kubernetes-based data platforms

Agent Application Engineer (Backend / Agentic AI) — Level 1

About Sentiaflow

Sentiaflow is an AI engineering and IT services company that designs and delivers production-grade agentic AI systems. We work at the point where large language models meet real business operations: data, APIs, permissions, workflow state, human decisions, security, evaluation, and measurable outcomes.

Our initial domain focus is healthcare, particularly clinical trials and related operational workflows. These are environments where an impressive demo is not enough. A system must be dependable, traceable, appropriately controlled, and clear about when a human must make the decision.

We are building a specialised engineering organisation across three disciplines:

• Agent Application Engineering
• Agent Platform & Evaluation Engineering
• Applied AI & Model Engineering

The Role

We are hiring strong backend or application engineers who want to specialise in building agentic AI applications. You do not need to arrive with several years of "agent engineer" experience. We are more interested in whether you have built real software, understand how production systems fail, and can learn to use models inside controlled business workflows.

As a Level 1 Agent Application Engineer, you will implement bounded parts of a production workflow under the guidance of an Agent Captain or senior engineer. Your work will connect models to application services, tools, data sources, and human approval points. You will be expected to make every important step observable, testable, and recoverable.

This is not a prompt-writing position, and it is not a generic chatbot role. It is an application engineering role for systems in which some decisions are probabilistic, while the surrounding controls must remain deterministic.

What You Will Work On

The specific client problem will vary, but typical work may include:

• Converting a clinical-operations signal into a bounded workflow that gathers evidence, analyses likely causes, presents options, and routes a recommendation to an authorised person.
• Building services that extract or structure information from trial documents and pass the result through validation and human review.
• Integrating agent workflows with internal APIs, databases, document systems, notification services, and client platforms.
• Implementing workflow state, recovery behaviour, approval gates, permissions, traceability, and scenario-based evaluations.

The work concerns operational decision support and workflow execution. It does not delegate clinical judgment or patient-care decisions to an autonomous model.

What You Will Be Responsible For

• Translate a clearly scoped business workflow into typed inputs, outputs, states, actions, and escalation paths.
• Build reliable application services and tool integrations using Node.js/TypeScript or Python.
• Use an LLM only where model judgment adds value; implement rules, validation, authorisation, and workflow control in deterministic code.
• Design structured model outputs and validate them before they can affect downstream systems.
• Handle partial data, unavailable tools, duplicate events, retries, time-outs, rate limits, and other normal production failure modes.
• Add logging, traces, metrics, and decision records that make the workflow diagnosable.
• Create tests and evaluation cases that measure whether the complete workflow behaves correctly—not merely whether an answer sounds fluent.
• Protect sensitive information and participate in code, design, failure-analysis, and release-readiness reviews.
• Explain your implementation and its trade-offs clearly to engineers, delivery leads, and client stakeholders.

At Level 1, you will not be expected to define the entire client architecture alone. You will be expected to own your assigned module, ask precise questions, surface risks early, and bring it to a production-ready standard with senior review.

What We Are Looking For

Essential Experience

• Approximately 3–6 years of hands-on backend or application engineering experience.
• Evidence that you have built or materially owned production APIs, services, data flows, integrations, or workflow-heavy applications.
• Strong programming ability in JavaScript/TypeScript, Python, Java, C#, Go, or a comparable backend language. Our preference is Node.js/TypeScript, but engineering depth matters more than language loyalty.
• Practical understanding of API design, databases, asynchronous processing, authentication and authorisation, testing, and deployment.
• Ability to reason clearly about state, retries, idempotency, concurrency, permissions, audit trails, and failure recovery.
• Experience debugging real production behaviour rather than only building greenfield demonstrations.
• Clear written and verbal communication, including the ability to explain technical trade-offs without hiding behind framework terminology.

Useful, but Not Mandatory

• Experience integrating LLM or machine-learning capabilities into an application.
• Experience with event-driven systems, state machines, workflow engines, observability, evaluation harnesses, or production incident analysis.
• Experience in healthcare, life sciences, clinical trials, or another regulated or audit-sensitive environment.

Healthcare or clinical-trials experience is preferred, not required at Level 1. We would rather hire a strong production engineer who can learn the domain than a candidate who knows the vocabulary but cannot build dependable systems.

What Does Not Qualify by Itself

Any of the following may be useful experience, but none is sufficient on its own:

• A chatbot or "chat with your documents" application.
• A RAG demonstration built primarily by connecting frameworks.
• A list of AI tools, model names, courses, certificates, or prompt-engineering techniques.
• An application that works in a demo but has no clear handling of permissions, failures, evaluation, or production operations.

How We Will Assess Fit

Our evaluation is designed to identify engineering judgment without asking you to build unpaid project work. We will focus on:

• A structured discussion of a production system you have worked on.
• Questions grounded in your own CV and claimed experience.
• A realistic workflow scenario covering system boundaries, evidence, controls, failure modes, and testing.
• Backend fundamentals and how you would apply them to an AI-enabled workflow.

You are NOT expected to have built a clinical-trials agent before applying.

What Success Looks Like

Within your first six months, you should be able to:

• Implement a bounded agent-workflow module from an agreed design and take responsibility for its quality.
• Integrate models and tools without allowing probabilistic output to bypass deterministic controls.
• Produce traces, tests, and evaluation evidence that support a release decision.
• Diagnose failures across application, tool, data, and model boundaries with progressively less supervision.
• Explain the workflow to a client or domain stakeholder in clear operational language.

Consistent performance at this level creates a path towards Level 2 — Independent Delivery Engineer, where you own a production workflow end to end, including discovery, architecture, integrations, evaluation, failure handling, and release readiness.

Why You Should Join Us

• Build the real systems behind agentic AI. You will work beyond demos and wrappers on the engineering problems that determine whether an AI workflow can operate in production.
• Develop a scarce, durable specialisation. Sentiaflow offers a defined progression across application engineering, platform and evaluation, and applied AI—not a vague instruction to "learn AI."
• Work on consequential operational problems. Clinical-trials workflows demand evidence, traceability, human accountability, and reliable execution.
• Learn through delivery with experienced review. You will own meaningful engineering work while receiving architectural and domain guidance appropriate to your level.
• Influence how the discipline is built. We are at an early stage, so strong engineers will help shape our methods, reusable assets, quality standards, and engineering culture.

Platform Engineering Lead (For client company)

Location: Pune, India

Experience: 7+ years 

What Success Looks Like

• Engineering teams ship faster with confidence and built-in guardrails.
• Cloud cost, security, and reliability are predictable, measurable, and well-managed.
• CI/CD pipelines are trusted, standardized, and production-ready.
• Platform decisions reduce cognitive load instead of introducing unnecessary process. 

Scope & Expectations

This is a hands-on leadership role combining architecture and implementation.

You will:

• Build, not just review.
• Own the platform roadmap—not just infrastructure tickets.
• Act as a force multiplier for product engineering teams rather than becoming a bottleneck.
• Drive platform strategy while remaining deeply involved in execution.

Key Responsibilities

Platform & Cloud Architecture

• Own Zoop's platform and cloud architecture across GCP and AWS.
• Design reusable, opinionated platform patterns instead of one-off infrastructure.
• Build and evolve Zoop's Internal Developer Platform (IDP), including:
• Self-service environments
• Golden paths (paved roads)
• Standardized templates
• Built-in engineering guardrails
• Lead Kubernetes and cloud-native adoption at scale.
• Drive infrastructure automation using Terraform, Pulumi, or similar Infrastructure-as-Code (IaC) tools.

CI/CD, Reliability & Developer Experience

• Establish robust CI/CD practices with quality gates and production readiness.
• Improve deployment safety through automation and testing.
• Define and monitor:
• Golden Signals
• SLIs
• SLOs
• Incident response processes
• Reduce operational toil and improve developer productivity.
• Make observability a first-class capability using cost-efficient monitoring systems.
• Build an observability platform that multiple engineering teams can easily integrate into their applications.

Security, Privacy & Compliance

• Build security-by-default into infrastructure and deployment pipelines.
• Lead implementation and continuous compliance for:
• DPDP Act (India)
• ISO 27001:2022
• SOC 2 Type II
• Implement:
• Zero Trust architecture
• Least-privilege access
• Secure data isolation

FinOps & Cloud Optimization

• Make cloud costs transparent and accountable across engineering teams.
• Establish FinOps practices including:
• Budgets
• Cost alerts
• Optimization routines
• Drive build-vs-buy decisions using clear ROI analysis.

AI, Data & MLOps Foundations

• Build secure and scalable foundations for AI and MLOps workloads.
• Define guardrails for AI systems and sensitive data handling.

Leadership & Collaboration

• Partner closely with engineering teams to align infrastructure strategy with product goals.
• Mentor engineers and guide teams through technical change.
• Balance long-term platform initiatives with practical execution.

What We're Looking For

Experience

• 7+ years of experience building and operating production infrastructure.
• Experience scaling engineering platforms in high-growth or regulated companies.
• Strong hands-on expertise in:
• Kubernetes and the cloud-native ecosystem
• Service Mesh technologies
• Policy Engines
• GCP, AWS (Azure exposure is a plus)
• Terraform and Infrastructure as Code

Engineering & Operations

• Strong understanding of SDLC and modern CI/CD systems (Jenkins, GitOps, etc.).
• Experience with observability tools such as:
• Grafana
• Prometheus
• New Relic
• Comfortable reading and contributing to production systems written in:
• Go
• Python
• Node.js

Security & Compliance

• Practical experience implementing ISO 27001 and SOC 2 controls.
• Strong understanding of:
• Data protection
• Privacy
• Identity and access management
• Security best practices

Mindset

We're looking for someone who is:

• Action-oriented with sound engineering judgment.
• Analytical, cost-conscious, and reliability-focused.
• Collaborative, calm under pressure, and open to feedback.
• Comfortable challenging decisions and explaining trade-offs when necessary.

Nice to Have

• Experience in fintech, identity, or other regulated industries.
• Built Internal Developer Platforms (IDPs) or shared infrastructure tooling.
• Contributions to open-source projects.

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Title: Software Developer

Experience: 4–6 Years

Location: Pune / 3 days' work from Office.

Employment Type: Full-Time

Job Summary

We are looking for a highly skilled Java Developer with strong experience in Java application development, Kubernetes, and CI/CD pipelines. The ideal candidate should have hands-on experience in building scalable backend applications, working with microservices architecture, and deploying applications in containerized cloud environments.

Key Responsibilities

• Design, develop, test, and maintain scalable Java-based applications.
• Develop RESTful APIs and microservices using Java frameworks.
• Build and deploy containerized applications using Docker and Kubernetes.
• Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment.
• Collaborate with DevOps, QA, and product teams to ensure smooth software delivery.
• Monitor application performance and troubleshoot production issues.
• Write clean, maintainable, and reusable code following coding standards and best practices.
• Participate in code reviews, technical discussions, and architecture decisions.
• Optimize application performance, security, and scalability.

Required Skills

• Strong experience in Java development
• Hands-on experience with Spring / Spring Boot
• Good understanding of Microservices Architecture
• Strong knowledge of Kubernetes (K8s) and container orchestration
• Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Bamboo
• Experience with Docker / Containerization
• Strong knowledge of REST APIs
• Good understanding of SQL / Databases
• Experience with Git version control
• Strong debugging and problem-solving skills

Good to Have

• Cloud platform exposure: AWS / Azure / GCP
• Monitoring tools: Grafana, Prometheus, Datadog
• Messaging systems: Kafka / RabbitMQ
• Scripting knowledge: Shell / Python
• Exposure to Agile / Scrum environment

Preferred Background

• Experience working in BFSI, FinTech, Credit Risk, Lending, or Enterprise Product Development environments.
• Ability to work independently and mentor junior developers.

Work Model: Hybrid (3–4 days from Pune office)

The AI Specialist candidate should have the following skills:

Must-have:

• Proficiency in Java
• Experience with LLMs, prompt engineering, and RAG architectures
• Familiarity with AWS cloud platform
• Strong analytical and problem-solving skills
• Ability to communicate complex technical concepts to non-technical stakeholders

We're looking for a FinOps Engineer with a DevOps backbone who has an almost

obsessive eye for cost leaks, idle resources, and inefficiencies across our platform. If unused

EBS volumes, oversized instances, or a forgotten dev environment running on weekends

genuinely bother you — you'll fit right in.

This isn't a passive reporting role. You'll be expected to proactively hunt for waste,

propose optimizations, and drive strategic cost conversations with engineering, SRE,

and leadership across Zoop's entire platform — from infrastructure and Kubernetes clusters

to data pipelines and third-party services.

What You'll Own

●​ Continuously audit Zoop's cloud footprint (AWS/Azure/GCP) end-to-end —

compute, storage, networking, databases, observability stack, and SaaS tooling

— and flag every form of waste, big or small.

●​ Proactively propose cost-reduction strategies rather than waiting to be asked

— bring data, options, trade-offs, and a recommendation to the table.

●​ Lead monthly/quarterly cost reviews with engineering and product leadership;

turn billing data into actionable conversations.

●​ Build cost visibility dashboards and chargeback/showback models so every team

at Zoop knows what they're spending and why.

●​ Drive rightsizing, autoscaling tuning, Spot/Reserved Instance/Savings Plan

strategies, and storage tiering across the platform.

●​ Embed cost guardrails into CI/CD pipelines, IaC (Terraform/CloudFormation), and

Kubernetes manifests — catch wasteful resources before they're deployed.

●​ Optimize Kubernetes cost efficiency using tools like Kubecost, OpenCost, or

Karpenter; tune requests/limits, HPA/VPA, and node pools.

●​ Set up automated alerts and anomaly detection for budget breaches, idle

resources, and runaway costs.

●​ Partner with Finance for forecasting, unit economics (cost per user/transaction),

and cloud budget planning.

●​ Evangelize a cost-aware engineering culture — run internal sessions, write

playbooks, and make FinOps a shared responsibility, not a finance afterthought.

Who You Are

●​ Someone with genuine OCD around cost and wastage — you can't sleep

knowing a non-prod cluster ran all weekend at full capacity.

●​ A DevOps practitioner first, who understands why costs happen at the

infrastructure level — not just someone reading billing reports.

●​ Naturally proactive — you don't wait for tickets; you spot patterns, dig in, and

propose changes before anyone asks.

●​ Comfortable challenging engineering decisions diplomatically when they're

expensive, and equally comfortable defending necessary spend to finance.

●​ A clear communicator who can talk to both a senior engineer about Karpenter

configs and a CFO about quarterly burn.

Required Qualifications

●​ 3+ years of hands-on experience in DevOps, Cloud Engineering, SRE, or Cloud

FinOps roles.

●​ Strong working knowledge of at least one major cloud provider (AWS preferred), including native cost tools (Cost Explorer, CUR, Azure Cost Management, or GCP Billing).

●​ Proficiency with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).

●​ Hands-on experience with Docker and Kubernetes (EKS/AKS/GKE).

●​ Scripting in Python, Bash, or Go for automation, reporting, and cost tooling.

●​ Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, ArgoCD).

●​ Solid grasp of cloud pricing models — On-Demand, Reserved Instances, Savings

Plans, Spot/Preemptible, committed-use discounts.

●​ SQL skills for querying billing data (AWS CUR via Athena/Redshift, BigQuery

billing exports).

Nice to Have

●​ FinOps Certified Practitioner (FOCP) certification.

●​ Cloud certifications (AWS, Azure, or GCP).

●​ Experience with FinOps platforms (CloudHealth, Cloudability/Apptio, Spot.io,

Vantage, Kubecost).

●​ Exposure to multi-cloud or hybrid-cloud cost optimization.

●​ Understanding of SaaS unit economics (cost per customer, cost per transaction,

gross margin impact).

Job Description:

1. Develop, and maintain Java applications using Core Java, Spring framework, JDBC, and threading concepts.
2. Strong understanding of the Spring framework and its various modules.
3. Experience with JDBC for database connectivity and manipulation
4. Utilize database management systems to store and retrieve data efficiently.
5. Proficiency in Core Java8 and thorough understanding of threading concepts and concurrent programming.
6. Experience in in working with relational and nosql databases.
7. Basic understanding of cloud platforms such as Azure and GCP and gain experience on DevOps practices is added advantage.
8. Knowledge of containerization technologies (e.g., Docker, Kubernetes)
9. Perform debugging and troubleshooting of applications using log analysis techniques.
10. Understand multi-service flow and integration between components.
11. Handle large-scale data processing tasks efficiently and effectively.
12. Hands on experience using Spark is an added advantage.
13. Good problem-solving and analytical abilities.
14. Collaborate with cross-functional teams to identify and solve complex technical problems.
15. Knowledge of Agile methodologies such as Scrum or Kanban
16. Stay updated with the latest technologies and industry trends to improve development processes continuously and methodologies.

Data Engineer – Databricks & AWS (7+ Years)

Location: Baner, Pune

Work Model:5 days from office

Required Skills

• 7+ years of experience in Data Engineering with strong expertise in Databricks, PySpark, Apache Spark, and SQL.
• Hands-on experience building scalable ETL/ELT pipelines and Data Lake/Lakehouse solutions using Delta Lake.
• Experience with AWS services including S3, Glue, Lambda, IAM, EMR, and Redshift.
• Strong knowledge of Apache Airflow, Git, CI/CD, data quality, performance tuning, and production support.
• Experience with Kafka/Spark Streaming and Banking, Financial Services, or Credit Bureau domains is preferred.

Roles & Responsibilities

• Designed and developed scalable data pipelines using Databricks, PySpark, and AWS to process large-scale credit bureau, customer, loan, and repayment datasets.
• Built ETL/ELT workflows and Delta Lake-based data models to support credit risk analytics, regulatory reporting, and customer profiling.
• Developed and orchestrated batch and near real-time data processing pipelines using Airflow, Kafka, and Spark, ensuring data quality and reliability.
• Optimized Spark workloads through performance tuning techniques, improving processing efficiency and reducing execution time.
• Collaborated with business stakeholders, data architects, and risk teams to deliver data solutions while supporting production environments and operational excellence.

NOTE: One technical round is mandatory to be taken F2F from Pune office.

Performance Testing Engineer

Experience

5 – 12 Years

Location

Bangalore | Chennai | Pune | Hyderabad | Gurgaon | Trivandrum | Bhubaneswar | Kolkata

About the Role

We are looking for an experienced Performance Testing Engineer who is passionate about ensuring system scalability, reliability, and performance across enterprise applications. This role involves hands-on scripting, execution, analysis, and performance engineering using industry-leading tools and monitoring platforms.

As a candidate, you will work closely with engineering, DevOps, and application teams to identify bottlenecks, analyze system behavior under load, and help improve overall system performance.

Key Responsibilities

• Design, develop, and execute performance test scripts using tools like JMeter and LoadRunner
• Perform load, stress, endurance, and scalability testing across applications
• Work with multiple protocols including:
• 
  
• HTTP/HTML
• Web Services
• Ajax TruClient
• MQ Protocol
• SAP
• Java-based applications
• 
  
• Analyze performance test results and provide actionable insights and recommendations
• Use monitoring tools to identify system bottlenecks at application, database, and infrastructure levels
• Collaborate with development and DevOps teams for performance tuning and optimization
• Support test debugging and performance engineering activities
• 
  

Must-Have Skills

• Strong hands-on experience with JMeter and/or LoadRunner
• Experience working with multiple performance testing protocols
• Hands-on exposure to at least one monitoring tool, such as:
• Splunk
• AppDynamics
• Dynatrace
• Grafana
• Solid understanding of performance test analysis and reporting
• 
  

Good to Have (Desirable Skills)

• Basic knowledge of AWS / Kafka / MQ
• Ability to write basic database queries (SQL)
• Working knowledge of Unix/Linux commands\
• Understanding of performance engineering concepts in distributed systems
• 
  

Job Title : Senior Java Developer

Experience : 5 to 12 Years

Shift Timing : 01:00 PM – 10:00 PM

Domain : Clinical Research

Location : Noida, Gurugram & Pune

Work Mode : Hybrid

Job Summary :

We are seeking an experienced Senior Java Developer to join the software team of a leading Clinical Research organization.

The role involves application development and feature enhancement for enterprise products, ensuring high performance, scalability, and code quality.

Mandatory Skills :

Java 8+, Hibernate, Oracle Database, PostgreSQL, JAX-RS (RestEasy), Jackson, REST APIs, JSP, React.js, GitHub, GitHub Actions, SonarQube, SonarLint, and basic AWS services (IAM, SNS, SQS, S3, CloudWatch).

Key Responsibilities :

• Develop and enhance enterprise applications using Java technologies.
• Design and implement RESTful APIs and integrate backend services.
• Write and optimize SQL queries for Oracle and PostgreSQL databases.
• Build and maintain UI components using JSP and React.js.
• Manage source code and CI/CD pipelines using GitHub and GitHub Actions.
• Ensure code quality and maintainability using SonarQube and SonarLint.
• Work with AWS services to support application deployment and monitoring.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Required Skills :

• Strong experience with Java 8 or above and Hibernate framework.
• Hands-on experience with Oracle Database and PostgreSQL, including advanced query writing.
• Proficiency in JAX-RS (RestEasy) and Jackson for REST API and JSON processing.
• Experience in developing web applications using JSP.
• Knowledge of React.js for frontend development.
• Experience with GitHub and GitHub Actions for version control and CI/CD.
• Familiarity with SonarQube and SonarLint for code quality analysis.
• Basic hands-on experience with AWS services, including IAM, SNS, SQS, S3, and CloudWatch.
• Ability to work effectively in a collaborative and fast-paced environment. 

Job Title : Senior Java Developer

Experience : 6+ Years

Shift Timing : 01:00 PM to 10:00 PM

Domain : Clinical Research

Location : Noida, Gurgaon & Pune

Mandatory Skills :

Java 8+, Hibernate, Oracle, PostgreSQL, JAX-RS (RestEasy), Jackson, REST APIs, JSP, React.js, GitHub, GitHub Actions, SonarQube, SonarLint, and AWS (IAM, SNS, SQS, S3, CloudWatch).

Job Summary :

We are looking for an experienced Senior Java Developer with 6+ years of experience to join the software development team of a leading Clinical Research organization.

The role involves developing and enhancing enterprise applications, building scalable APIs, and contributing to feature development while ensuring code quality and best practices.

Key Responsibilities :

• Develop and maintain enterprise applications using Java 8+ and Hibernate.
• Design and consume RESTful APIs using JAX-RS (RestEasy) and Jackson.
• Work with Oracle and PostgreSQL databases, including complex query writing.
• Develop UI components using JSP and React.js.
• Utilize GitHub and GitHub Actions for version control and CI/CD processes.
• Ensure code quality through SonarQube and SonarLint.
• Work with AWS services including IAM, SNS, SQS, S3, and CloudWatch.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Note : Candidates should preferably be sourced from organizations within the Grid ecosystem.

 Role Summary 

Looking for a skilled Full Stack Developer with expertise in Java Spring Boot and Angular/React to build and maintain scalable web applications.

 Key Responsibilities 

- Develop backend services using Java & Spring Boot

- Build responsive UIs with Angular/React

- Design and consume REST APIs & microservices

- Collaborate with cross-functional teams

- Ensure code quality, performance, and scalability

- Strong analytical skills to drive and clarify requirements with the client

 Required Skills 

- Strong experience in Java (Spring Boot)

- Proficiency in Angular and/or React

- Solid understanding of REST APIs & microservices

- Experience with SQL/NoSQL databases

- Knowledge of Git, CI/CD pipelines

 Good to Have 

- Cloud (AWS/Azure/GCP), Docker/Kubernetes

- Kafka/RabbitMQ, Agile methodologies

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

Role : AWS Data Engineer

Location : Anywhere in India - where cognizant office is available 

Contract duration : 12 months contract

Total Experience : 8-10 years

Budget-15LPA

Relevant Experience : 5+years with required skills & data engineering

Client : Cognizant

Job description : 

Python

Spark

Gradle 

AWS Services (ex: S3, Athena, Redshift, Transfer, SNS, SQS, Event Bridge, Lamda, Glue Data Catalog, RDS, EC2, IAM, Flink)

Kubernetes

Argo

Kafka / Kinesis streaming

SQL

ETL Data Pipelines

Data Modelling

Power BI/ Any reporting tools

New Relic / Terraform

Operational support - Batch monitoring, root cause analysis and fix

Job Title: L2 Javascript Support Developer with good command over communication - Night Shift

Location: Bangalore. Mode: Work from Office. 

Experience: Min 1+ years. 

**Company Description**

TopGrep Tech, an ISO 27001:2022 and DPIIT-certified IT deep tech product engineering services company. We work with global enterprises & startups, covering SaaS, MVPs, AI, RAG, MCP, reliability engineering, DevOps, and cloud innovation.

**Role Description**

We are looking for engineers to join our Customer support Engineering team, focused on a low-code platform. This role is tailored for engineers who love debugging, diving deep into JavaScript code, query optimization, customer-facing problem-solving and automating the regular tasks.

**Key Responsibilities**

Debugging & Development

Investigate and resolve customer-reported issues in a JavaScript + JSON low-code environment. Identifying, fixing bugs, and implementing enhancements to improve product performance, reliability, and usability.

Understand and trace workflow execution paths, analyze payloads, and isolate breaking logic.

Be flexible to support customers worldwide.

Creating and maintaining documentation related to program development, logic, coding, testing, and changes. 

Implementing limited design changes or enhancements to improve performance, address obsolescence, or meet new requirements. 

Creating and maintaining documentation related to program development, logic, coding, testing, and changes. Identifying opportunities to improve existing processes and procedures related to product sustenance. 

Cross-Team Collaboration

Partner with customer success, and solution/engineering teams to triage and close issues faster.

Provide feedback from field operations to improve product robustness.

Participate in postmortems and continuous improvement cycles.

Ability to drive outcomes and meet delivery milestones while coordinating across multiple teams and managing interdependencies.

**Required Skills:**

1+ years in Solution Development or Engineering roles.

Strong grasp of JavaScript, JSON handling, and API interactions.

Knowledge of SQL and ability to debug query bottlenecks.

Familiarity with observability stacks (Grafana, Loki, Tempo)

Knowledge of AWS is required (although not a deal breaker)

**Desirable Skills:**

Exposure to the Field Service Management domain, or working in products that have workflows, debugging algorithms related to scheduling or work done on backend systems is an added advantage.

**Why Join Us**

Unique opportunity to form a front-facing layer that not only is the front-line to customer deployments, but also has the ability to work closely with Solution Architects and others to influence Product blueprints.

Work across the full tech stack — from debugging backend services(Java, spring boot) to exploring front-end interfaces built with React and extending into mobile UI development.

Build internal tools, fix production issues, and contribute to engineering stability, all while learning from experienced platform, product and solution engineers.

• Be part of a high-impact team that bridges engineering and customer experience, where your work helps improve both product quality and customer trust.

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in AWS cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Position: Microsoft .NET Full Stack Developer

Experience: 4–6 Years

Open Positions: 10

Location: PAN India (Final Round – Face-to-Face Interview)

Budget: Up to 15 LPA

Notice Period: Immediate joiners preferred

Key Responsibilities:

· Work on highly distributed and scalable system architecture

· Design, develop, test, and maintain high-quality software solutions

· Ensure performance, security, and maintainability of applications

· Collaborate with cross-functional teams and stakeholders

· Perform system testing and resolve technical issues

Required Skills:

· Strong experience in ASP.NET, C#, .NET Core, MVC

· Hands-on experience with SQL Server / PostgreSQL

· Experience in Angular / React (Frontend technologies)

· Knowledge of microservices architecture & RESTful APIs

· Familiarity with CQRS pattern

· Exposure to AWS / Docker / Kubernetes

· Experience with CI/CD pipelines (Azure DevOps, Jenkins)

· Knowledge of Node.js is an added advantage

· Understanding of Agile methodology

· Good exposure to cybersecurity and compliance

Technology Stack:

· Microsoft .NET technologies (primary)

· Cloud platforms: AWS (SaaS/PaaS/IaaS)

· Databases: MSSQL, MongoDB, PostgreSQL

· Caching: Redis, Memcached

· Messaging queues: RabbitMQ, Kafka, SQS

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

Who we are:

MangoApps is a modern, cloud-based platform that unifies content, communication, training, and operations for the entire organization in one single platform. Unlike tens of point solutions, our integrated approach provides a unified employee experience that saves time and company costs.

As large enterprises invest in MangoApps, we need strategic and high-energy techno-functional talent, who will create, develop, and maintain one-on-one relationships with our enterprise customers. In this role, you will be responsible for onboarding large enterprise accounts on to MangoApps platform. Driving ongoing implementation and providing world class support would be one of your key KRA's. You will also partner closely with other cross-functional team members to translate business needs and product requirements into new solutions for these customers.

The Opportunity:

• You will be an expert on MangoApps platform driving the end-to-end implementation to meet the customer technical and business requirements. You will also serve as the primary point of contact for the customer, managing customer expectations and ensuring high-level customer satisfaction.
• You will work like a Forward Deployed Engineer (FDE), with an ability to work directly in customer environments to diagnose, troubleshoot, and implement solutions in close to real time by collaborating closely with Engineering, DevOps, QA and Product teams.
• You will translate customer-specific requirements into scalable product improvements and engineering inputs.
• You will participate in project-based, architectural and design discussions to ensure solutions are optimal for customers. You will ensure timely response and resolution to technical and product related incidents.
• You are expected to own support escalations and investigate technical issues and coordinate with engineering and product teams to diagnose problems and take corrective actions for customers.
• Conducting regular status calls and business reviews would be part of your responsibilities as a TAM on the Mango team. You will assess the health of the account by identifying risks and preparing risk mitigation plans to avoid and minimize churn.
• You will proactively update customers about product enhancements, upgrade and ensure necessary action to maintain availability and customer satisfaction.
• You will be responsible for enabling our customers with sound product knowledge. You will be conducting live training sessions for customers in onboarding phase.

What makes you a great fit for our team:

• 5+ years of experience leading technical implementations and ongoing technical relationships requiring ownership and execution of complex, client-facing enterprise projects with senior internal and external stakeholders.
• Effective communication skills including active listening skills, understanding non-verbal signs (even over zoom! ) storytelling and rapport building. Strong exposure with handling US customers.
• Strong customer orientation with an eagerness and ability to tune, tweak and improve a rapidly evolving client engagement process.
• Solid Understanding of Cloud & SaaS Architecture, with Working knowledge of: Cloud environments (AWS/Azure/GCP basics) and System integrations, authentication (SSO, APIs).
• Strong Hands-On Technical Debugging skills with ability to diagnose and troubleshoot issues in live customer environments working with APIs, logs, integrations and cloud environments. You should be adept at Breaking down complex issues, Identify root cause (not just symptoms) and propose practical, implementable fixes.
• Excellent problem-solving skills with an ability to manage multiple, complex, high-priority tasks, and situations across multiple accounts.
• Strong conflict resolution and negotiation skills with a sense of urgency in driving to closure escalations and open technical issues.
• Highly efficient team player, with the ability to work independently to juggle multiple priorities in a fast-paced and fluid environment.
• You thrive in a fast-paced and dynamic environment and are a self-starter who gets things across the finish line.
• Ability to curate training contents and presentations for Product training sessions.
• Prior experience in architecting, developing and seeding customer facing intranets with high value content to drive user adoption is highly desirable.

Why work with us:

• We take delight in what we do, and it shows in the products we offer and ratings of our products by leading industry analysts like IDC, Forrester and Gartner OR independent sites like Capterra

• Be part of the team that has a great product-market fit, solving some of the most relevant communication and collaboration challenges faced by big and small organizations across the globe.

• MangoApps is highly collaborative place and careers at MangoApps come with a lot of growth and learning opportunities. If you're looking to make an impact, MangoApps is the place for you.

• We focus on getting things done and know how to have fun while we do them. We have a team that brings creativity, energy, and excellence to every engagement.

• A workplace that was listed as one of the top 51 Dream Companies to work for by World HRD Congress in 2019

• As a group, we are flat and treat everyone the same.

Benefits:

We are a young organization and growing fast. Along with the fantastic workplace culture that helps you meet your career aspirations, we provide some comprehensive benefits.

• Comprehensive Health Insurance for Family (Including Parents) with no riders attached.
• Accident Insurance for each employee.

About You:

• Self-motivated: You can work with a minimum of supervision and be capable of strategically prioritizing multiple tasks in a proactive manner.
• Driven: You are a driven team player, collaborator, and relationship builder whose infectious can-do attitude inspires others and encourages great performance in a fast-moving environment.
• Entrepreneurial: You thrive in a fast-paced, changing environment and you're excited by the chance to play a large role.
• Passionate: You must be passionate about online collaboration and ensuring our clients are successful; we love seeing hunger and ambition.
• Thrive in a start-up mentality with a whatever it takes attitude.

Virtual Hiring Drive Site Reliability Engineer (SRE)

Date: 25th April 2026, Saturday (Single-Day Drive)

Mode: 100% Virtual - All interview rounds on the same day

Experience: 3 to 7 Years

Note : We are looking for quick joiners who can join us within 30 days.

About the Role

We are looking for a Site Reliability Engineer who understands the realities of running production systems at scale. If building reliable, scalable, and observable systems excites you, you'll enjoy working with us.

At One2N, we solve One-to-N problems where proof of concept is already built and the real challenge lies in scalability, maintainability, performance, and reliability.

You will work closely with startups and mid-sized clients, helping them architect production-grade infrastructure and observability systems.

Key Responsibilities

• Design and build platform engineering solutions with a self-serve model
• Architect and optimize observability systems (metrics, logs, traces)
• Implement monitoring, logging, alerting & dashboards
• Build and optimize CI/CD pipelines
• Automate repetitive operational and infrastructure tasks (IaC-first approach)
• Improve Developer Experience (DX)
• Guide teams on SRE best practices & on-call processes
• Participate in code reviews and mentor engineers
• Contribute to cloud-native and platform engineering initiatives

Must-Have Skills

• 3 - 7 years experience in DevOps / SRE / Platform Engineering
• Strong hands-on with Kubernetes on AWS
• Expertise in observability tools like Datadog / Honeycomb / ELK / Grafana / Prometheus
• Experience with Docker & Microservices architecture
• Infrastructure as Code using Terraform / Pulumi
• Strong Linux troubleshooting skill
• Programming knowledge in Golang / Python / Java
• Automation & scripting expertise

Lead Data Engineer

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

What you will wake up to solve.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

Experience & Relevance 

• Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads.
• Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO’s business vision into a Lead Engineer’s technical specification without losing anything in translation.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Role Overview:

As a Database Administrator, you will be responsible for the full lifecycle management of our MySQL or PostgreSQL database systems. This includes installation, configuration, performance tuning, security implementation, backup and recovery, and proactive monitoring. You will ensure the reliability, availability, and security of our database infrastructure, supporting our internal operations and client projects.

Job Responsibilities

• Installation and configuration of database software across diverse operating systems.
• Designing efficient physical database models derived from logical designs and application specifications, along with configuring database servers according to best practices and workload requirements.
• Establishing and implementing robust backup and recovery strategies tailored to data volatility and application availability needs.
• Implementing comprehensive security measures at the OS, database, and network levels to ensure authorized data access and maintain a rigorous security infrastructure with auditing capabilities for compliance.
• Fine-tuning hardware/VM resources for optimal database performance.
• Proactive monitoring of the database environment, including performance optimization through adjustments to data structures, SQL, application logic, or the DBMS subsystem.
• Configuration and implementation of database replication technologies (e.g., Master-Slave, Master-Master, Log Shipping, Mirroring, Always On).
• Automation of routine DBA tasks utilizing scripting languages such as Shell, PowerShell, Python, or GO.
• Proficiency in writing general SQL queries.
• Setting up comprehensive monitoring solutions for databases (OS and database levels) using custom scripts or third-party monitoring tools.
• Basic Cloud platform knowledge (AWS/GCP/Azure)

Qualification

Experienced DBA (4-8 years) with deep expertise in MySQL or PostgreSQL architecture, configuration, and management.

Proficient in SQL, backup/recovery, security implementation, performance tuning, and replication for both systems.

Skilled in scripting (e.g., Shell, Python) and Linux, possessing strong problem-solving, communication, and teamwork abilities with a proactive approach.

A relevant Bachelor's degree in Computer Science, Information Technology, or a related field.

We identify better ways of doing things.

Solver? Absolutely. But not the usual kind. We are searching for the architects of the

audacious & the pioneers of the possible. If you are the type to dismantle assumptions,

re-engineer ‘best practices,’ and build solutions that make the future possible NOW,

then you are speaking our language.

➔ Improver. Solver. Futurist.

➔ Great sense of humor.

➔ ‘Possible. It is.’ Mindset.

➔ Compassionate collaborator. Bold experimenter. Tireless iterator.

➔ Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.

➔ Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a

certain way—and then identifies 3 better ways to do it — we’d love to chat with you.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Solutions Architect - Data Engineering

Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.

If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.

You're not a sales lead. You're the transformation driver.

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

• Improver. Solver. Futurist.
• Great sense of humor.
• ‘Possible. It is.’ Mindset.
• Compassionate collaborator. Bold experimenter. Tireless iterator.
• Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
• Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.

Your Responsibilities

what you will wake up to solve.

You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.

• Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
• Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
• Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
• Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
• Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
• Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.

Functional Skills:

• Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
• Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
• Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
• Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
• Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
• Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
• Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.

Tech Superpowers:

• Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
• Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
• AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
• Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.

Experience & Relevance:

• Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
• Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
• Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
• Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
• Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
• AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.

Don’t Just Send a Resume. Send a Statement.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

We are looking for a highly skilled Full Stack Developer (MERN Stack) with 3–5 years of experience to join our growing team. You will have the opportunity to work on cutting-edge technology solutions, build products from scratch, and contribute to scalable systems handling large volumes of data.

Key Responsibilities:

• Design, develop, and maintain scalable full-stack applications
• Build responsive and high-performance user interfaces using modern frontend frameworks
• Develop robust backend services and APIs
• Ensure seamless system performance while handling large-scale data without slowdowns
• Collaborate with cross-functional teams (product, design, QA) to meet business goals
• Optimize applications for maximum speed, scalability, and reliability
• Participate in architecture discussions and contribute to technical decisions

Required Skills & Qualifications:

Frontend

• Strong experience in React.js
• Hands-on experience with Next.js (mandatory)
• Good understanding of UI/UX principles and responsive design

Backend

• Solid experience in Node.js
• Experience with Python or Java is a plus
• Strong knowledge of RESTful APIs and microservices architecture

Databases

• Strong experience with SQL (mandatory)
• Experience with MongoDB is a plus
• Caching & Messaging
• Experience with at least one: Redis, Kafka, or Cassandra

Other Requirements

• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, collaborative environment
• Good communication and stakeholder management skills

Good to Have:

• Cloud certifications (AWS / Azure / GCP)
• Experience working on high-scale or distributed systems
• Exposure to DevOps practices and CI/CD pipelines

Why Join Us:

• Opportunity to work on cutting-edge tech and greenfield projects
• Ownership and freedom to build solutions from scratch
• Collaborative and growth-focused work environment

About TVARIT

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc. With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe. We are seeking a self-motivated individual with a positive "can-do" attitude and excellent oral and written communication skills in English to join our team.

Job Description: We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing.

Key Responsibilities · Build scalable real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark.

· Perform data pre-processing, including cleaning, transformation, deduplication, normalization, encoding, and scaling to ensure high-quality input for downstream analytics.

· Design and maintain cloud-based data architectures, including data lakes, lakehouses, and warehouses, following Medallion Architecture.

· Deploy and optimize data solutions on Azure (preferred), AWS, or GCP with a focus on performance, security, and scalability.

· Develop and optimize ETL/ELT pipelines for structured and unstructured data from IoT, MES, SCADA, LIMS, and ERP systems. · Automate data workflows using CI/CD and DevOps best practices, ensuring security and compliance with industry standards

· Monitor, troubleshoot, and enhance data pipelines for high availability and reliability.

· Utilize Docker and Kubernetes for scalable data processing.

· Collaborate with automation team, data scientists and engineers to provide clean, structured data for AI/ML models.

Desired Skills and Qualifications · Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

· 7+ years of experience in core data engineering, with a strong focus on cloud platforms such as Azure (preferred), AWS, or GCP · Proficiency in PySpark, Azure Databricks, Python and Apache Spark, etc.

. 2 years of team handling experience.

· Expertise in relational databases (e.g., SQL Server, PostgreSQL), time series databases (e.g. Influx DB), and NoSQL databases (e.g., MongoDB, Cassandra) · Experience in containerization (Docker, Kubernetes).

· Strong analytical and problem-solving skills with attention to detail.

· Good to have MLOps, DevOps including model lifecycle management

· Excellent communication and collaboration skills, with a proven ability to work effectively as a team player.

· Comfortable working in a dynamic, fast-paced startup environment, adapting quickly to changing priorities and responsibilities.

Availability: Full time 

Location: Pune, India 

Experience: 5- 6 years

Tvarit Solutions Private Limited (wholly owned subsidiary of TVARIT GmbH, Germany). TVARIT provides software to reduce manufacturing waste like scrap, energy, and machine downtime using its patented technology. With its software products, and highly competent team from renowned Universities, TVARIT has gained customer trust across 4 continents within a short span of 3 years. TVARIT is awarded among the top 8 out of 490 AI companies by European Data Incubator, apart from many more awards by the German government and industrial organizations making TVARIT one of the most innovative AI companies in Germany and Europe.  

We are looking for a passionate Full Stack Developer Level 2 to join our technology team in Pune Centre. You will be responsible for handling architecting, design, development, testing, leading the software development team and working toward infrastructure development that will support the company’s solutions. You will get an opportunity to work closely on projects that will involve the automation of the manufacturing process. 

Key Responsibilities 

· Full Stack Development: Design, develop, and maintain scalable web applications using React with TypeScript for the frontend and Node.js/Python for the backend.

· AI Integration: Collaborate with data scientists and ML engineers to integrate AI/ML models into the SaaS platform, ensuring seamless performance and usability.

· API Development & Optimization: Build and optimize high-performance REST APIs in Node.js and Python (Django, Flask, or FastAPI) to support real-time data processing and analytics.

· Database Engineering: Design, manage, and optimize data storage using relational (PostgreSQL), NoSQL (MongoDB/DynamoDB), graph, and vector databases for handling complex industrial data.

· Cloud-Native Deployment: Deploy, monitor, and manage services in containerized environments using Docker and Kubernetes on Linux-based systems (Ubuntu/Debian).

· System Architecture & Design: Contribute to architectural decisions, leveraging OOPs, microservices, domain-driven design, and design patterns to ensure scalability, security, and maintainability.

· Data Handling & Processing: Work with large-scale manufacturing datasets using Python (pandas) to enable predictive analytics and AI-driven insights.

· Collaboration & Agile Delivery: Partner with cross-functional teams—including product managers, manufacturing domain experts, and AI researchers—to translate business needs into technical solutions.

· Performance & Security: Ensure robust, secure, and high-performance software by implementing best practices in algorithms, data structures, and system design.

· Continuous Improvement: Stay updated on emerging technologies in AI, SaaS, and manufacturing systems to propose innovative solutions that enhance product capability.

Must have worked on these technologies.

· 5+ years of experience working with React-Typescript, node.js on a production level

· Python, pandas, High performance REST APIs in node and Python (in Django or Flask or Fast API)

· Databases: Relational DB like PostgreSQL, No SQL DB like Mongo or Dynamo DB, Vector databases, Graphs DBs

· OS: Linux flavor like Ubuntu, Debian

· Source Control and CI/CD

· Software Fundamentals: Excellent command on Algorithms and Data Structures

· Software design and Architecture: OOPs, Design Patterns, Micro Services, monolithic architectures, Domain driven Design

· Containers: Docker and Kubernetes

· Cloud: Fundamentals of AWS like S3 buckets, EC2, IAMs, Security groups

Benefits and Perks:

· Be part of the product which is transforming the manufacturing landscape with AI

· Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you.

· Progressive leave policy for effective work-life balance.

· Get mentored by highly qualified internal resource groups and opportunities to avail industry-driven mentorship programs.

· Multicultural peer groups and supportive workplace policies. 

· Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work.

How it's like to work for a Startup?

Working for TVARIT (deep-tech German IT Startup) can offer you a unique blend of innovation, collaboration, and growth opportunities. But it's essential to approach it with a willingness to adapt and thrive in a dynamic environment.

If this position sparked your interest, do apply today!