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We are looking for a Backend Engineer (SDE 2) to build scalable backend systems for EV charging infrastructure and energy management platforms. The role focuses on developing high-performance APIs, event-driven systems, and data pipelines that process EV telemetry, charging sessions, and energy analytics.

What You'll Own

- Design and develop scalable backend services and RESTful/WebSocket APIs.

- Build microservices using Go.

- Design and optimize databases for high-volume telemetry and charging-session data.

- Build event-driven systems and data pipelines using Kafka or similar messaging systems.

- Work on real-time and batch processing workflows for telemetry, energy metrics, and analytics.

- Improve application reliability, performance, monitoring, and observability.

- Deploy and operate services using Docker and Kubernetes.

- Participate in system design, architecture discussions, code reviews, testing, and technical documentation.

- Mentor and support junior engineers when required.

Required Qualifications

- 3 - 5+ years of backend development experience building scalable APIs and microservices.

- Strong proficiency in Golang.

- Strong understanding of PostgreSQL, MongoDB, or other relational/NoSQL databases.

- Experience with query optimization, indexing, schema design, partitioning, or replication.

- Experience building event-driven or distributed systems using Kafka or similar messaging systems.

- Familiarity with GCP or other cloud platforms.

- Experience with Docker and Kubernetes.

- Experience with monitoring and observability tools such as Grafana, Kibana, or ELK.

- Strong understanding of system design, scalability, and performance optimization.

- Experience writing clean, maintainable, testable code with unit and integration tests.

Nice to Have

- Experience working with EV charging, energy management, mobility, or IoT platforms.

- Experience processing high-volume telemetry or time-series data.

- Experience with real-time data processing and analytics pipelines.

- Experience with WebSockets or other real-time communication protocols.

- Experience with CI/CD and production infrastructure.

- Experience working with distributed systems at scale.

Why Join Us

- Build backend infrastructure powering EV charging and energy platforms.

- Work on distributed systems, real-time data, and high-volume telemetry.

- Solve challenging problems around scalability, reliability, and performance.

- Take meaningful ownership of production systems and technical decisions.

StarApps Studio is a product-driven SaaS company building Shopify apps that power thousands of online stores. We’ve developed 6 highly-rated Shopify apps (averaging 4.9★) used by 30,000+ Shopify merchants worldwide, including over 1,000 Shopify Plus stores. In just a few years, our bootstrapped team grew from $5.5M to $10M in Annual Recurring Revenue (ARR) by obsessing over quality and merchant success. We’re a tight-knit, 20-person team based in Baner, Pune, on a mission to help e-commerce brands create world-class shopping experiences.

Role Overview

We are looking for a Full Stack Developer who will own features end-to-end with an emphasis on backend excellence. In this role, you will design and optimize complex data models and API architectures in Ruby on Rails, implement robust background job queues (e.g. delayed_job) for heavy workloads, and perform rigorous performance tuning to ensure our systems scale. On the frontend, you'll build and integrate React components to deliver complete, user-friendly features. This is a role for someone who loves tackling deep technical challenges in the backend while also crafting intuitive user interfaces – an opportunity to leverage your backend expertise while driving full-stack product ownership.

Key Responsibilities

• Architect & Optimize Backend: Design scalable database schemas and efficient data models. Develop high-performance RESTful APIs and services in Ruby on Rails, ensuring clean, maintainable code and great performance.
• Backend API Development: Design, implement, and maintain robust backend services and RESTful APIs in Ruby on Rails to support new features and internal tools.
• End-to-End Performance Tuning: Optimize application performance across the stack – from minimizing frontend load times to improving backend query efficiency – for our high-traffic, data-intensive apps.
• Collaboration & Agile Delivery: Work closely with designers, product managers, and QA to translate requirements into technical solutions. Participate in sprint planning, code reviews, and daily deployments to ship features continuously and reliably.
• Quality & Maintenance: Write clean, maintainable code with appropriate test coverage (unit and integration tests) to ensure reliability. Monitor, debug, and resolve issues in production, and continually refactor and improve existing code for stability and performance

What We’re Looking For (Requirements)

• 4–8 Years Experience: Proven experience as a software developer in a product company (experience in e-commerce or SaaS is highly preferred). You have built real products used by actual customers at scale.
• Ruby on Rails Expertise: Strong command of Ruby on Rails. Experience designing RESTful APIs, working with MVC architecture, and using Rails best practices. You should understand how to structure large Rails applications for maintainability.
• Backend Proficiency: Comfortable building server-side applications and APIs with Ruby on Rails. You can implement business logic, integrate with databases, and create RESTful endpoints (bonus if you’ve worked with GraphQL or other backend frameworks).
• Database Skills: Proficiency with PostgreSQL (or similar RDBMS). Capable of writing complex SQL queries, optimizing queries/indexes, and designing efficient relational schemas. Familiarity with Redis or caching strategies is a plus.
• Front-End Proficiency: Comfortable building user interfaces with React and modern JavaScript/TypeScript. Able to implement frontend components that consume APIs and provide a smooth user experience.
• System Design & Quality: Solid understanding of web application architecture, performance tuning, and scalability concerns. Experience with profiling, benchmarking, and optimizing web applications. Commitment to writing clean, maintainable code with proper tests.
• Product Mindset: You care about the why behind the features. You are comfortable digging into requirements, questioning assumptions, and ensuring that we build solutions that truly solve merchant problems.
• Adaptability & Collaboration: Excellent problem-solving skills, communication, and ability to work in a fast-paced, collaborative environment. You are a self-starter who can take ownership of tasks and drive them to completion, but also know when to ask for help.

Tech Stack

• Frontend: React, TypeScript/JavaScript, HTML5, CSS3 (Tailwind/Bootstrap), modern build tools (Webpack, Babel).
• Backend: Ruby on Rails (REST APIs, background jobs), some services in Python.
• Database: PostgreSQL.
• Cloud & DevOps: Amazon Web Services (EC2, S3, RDS, CloudFront), Docker, CI/CD for daily deployments.
• Tools: Git (GitHub), Agile issue tracking (JIRA/Trello), and a keen use of automated testing.

(Don’t worry if you aren’t familiar with every item – we value willingness to learn. This is our current stack, and we continually adopt new technologies that improve our products.)

Why Join Us

• High Impact & Ownership: Your work will directly enhance the shopping experience of 50M+ shoppers daily. At StarApps, developers deploy code daily and see the immediate impact on thousands of merchants – you’ll own projects end-to-end and build features that matter.
• Fast-Growing, Profitable Startup: Join a bootstrapped, profitable company on an exciting growth trajectory (from $4M to $10M ARR). There’s no bureaucracy here – just a passionate team obsessed with product quality and merchant happiness. You’ll be part of our core team as we scale, with ample opportunities to grow into leadership roles.
• Cutting-Edge Tech & Challenges: Work with modern technologies (React, Rails, AWS) on performance-intensive applications. Tackle complex challenges in scaling, optimization, and UX for a global user base – continuously sharpen your skills in a supportive, learning-focused environment.
• Collaborative Culture: We are a small 25-person team that operates like a close-knit family. You’ll work side by side with experienced founders and a talented team that values innovation, humility, and continuous improvement. Our culture is open, empathetic, and growth-oriented – every voice is heard, and every team member plays a crucial role in our success.

Growth & Benefits: We invest in our team’s growth. Expect a competitive salary, performance bonuses, and whatever tools you need to do your best work. We sponsor professional development (courses, conferences, books) and encourage knowledge-sharing. You’ll enjoy a flexible leave policy, team off-sites, and the excitement of building a global product from our new office in Baner, Pune.

🚀 HIRING: Senior .NET Specialist (8–12 Yrs) | Pune (Full-Time, Direct Payroll) 🚀

Tired of contract roles, 3rd-party payrolls, or endless copy-pasted keyword lists?

We are hiring a heavy-hitting .NET Specialist for a direct, permanent payroll position with a premier global mobility tech giant whose platforms manage over 1 million vehicles across 85+ countries.

If you love writing clean code, breaking down monoliths, and deploying to the cloud, let’s talk.

🔹 The Non-Negotiables:

• 8–12 years of core backend experience (with strong production-tested C# & .NET Core / .NET 8+).
• Hands-on experience designing Microservices and optimizing data layers with EF Core.
• Strong familiarity with containerization (Docker & Kubernetes) and cloud ecosystems (Azure, AWS, or GCP).
• Strong command over SQL Server or PostgreSQL.
• Strict adherence to SOLID principles and robust design patterns.

🔹 Why You'll Love It:

• Direct payroll placement with full product-company benefits and long-term stability.
• Modern cross-platform stack (.NET 8+) with zero legacy drag.
• Sponsored opportunities for Microsoft Certifications.

Role: Fullstack .NET Engineer

Experience: 10-18 Years

Employment Type: Full-time 

Location: Pune (Hybrid)

About the Role 

We are looking for an experienced Fullstack .NET Engineer to join our Pune 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. 

Role:  Senior Software Developer – SDE3

Experience: 8-12 Years

Employment Type: Full-time 

Location: Pune (Hybrid)

Job Description

We are seeking a highly skilled Senior Full-Stack Developer to design, develop, and deliver scalable, high-quality digital solutions. The ideal candidate combines deep expertise in modern microservices architecture, cloud platforms, and end-to-end feature delivery, with proficiency in agentic software development and a strong focus on engineering excellence, collaboration, and continuous innovation.

Responsibilities:

• Design and develop scalable, resilient applications using microservices architecture.

• Build end-to-end full-stack features, covering UI (React, TypeScript, Redux) and backend services.

• Develop Java (17+) / Spring Boot (3.x) microservices using Domain-Driven Design (DDD) and OpenAPI 3.x specifications.

• Implement event-driven architectures using Kafka, including topic design, consumer groups, and reliable message processing.

• Design optimized database schemas, write advanced SQL queries, and manage migrations using Liquibase within CI/CD pipelines.

• Lead low-level design (LLD) and define REST API and event contracts aligned with enterprise architecture standards.

• Conduct code reviews, enforce coding standards, and ensure high quality using SonarQube gates.

• Ensure high test coverage (>90%) using JUnit, Mockito, Testcontainers, Cucumber, Jest, and React Testing Library.

• Collaborate within Agile teams, mentor developers, and drive timely delivery of high-quality solutions.

• Leverage AWS, Docker, Kubernetes, CI/CD pipelines to improve productivity and system performance.

• Leverage AI-driven software engineering practices, including LLM-powered development tools, agentic AI workflows, code generation, automated testing, and AI-assisted debugging, to improve developer productivity, software quality, and delivery efficiency.

Required Qualification:

• Bachelor’s or Master’s degree in computer science, Information Technology, or a related field.

• Minimum 8 years of professional experience, including at least 5 years in full-stack development.

• Hands-on experience with microservices-based architecture and distributed systems.

• Strong understanding of functional programming, design patterns, and software architecture principles.

• Experience working in cloud environments (preferably AWS).

• Proficiency with CI/CD pipelines, Docker, and Kubernetes.

• Strong analytical thinking and problem-solving capabilities.

Must-Have Skills

• Strong proficiency in React.js, including Hooks, TypeScript, and state management using Redux Toolkit or React Query, along with testing frameworks such as Jest and React Testing Library.

• Extensive experience with Java 17+, Spring Boot 3.x, and the Spring ecosystem (Spring Cloud, Spring Security with OAuth 2.0), along with JPA/Hibernate.

• Hands-on experience with Apache Kafka, including topic design and managing consumer groups for event-driven architectures.

• Solid expertise in PostgreSQL, including schema design, performance tuning, indexing strategies, and database migration management using Liquibase.

• Proficiency in AI-assisted and agentic software development practices, with hands-on experience using AI coding assistants, autonomous development agents, and AI-enabled testing and code quality tools.

Good-to-Have Skills

• Experience with Redis, GraphQL, and AWS cloud services.

• Familiarity with AI-assisted development tools such as GitHub Copilot.

• Exposure to monitoring and observability tools like Kibana/ELK stack, Grafana, Glowroot, or Datadog.

• Experience working with modern development environments and IDEs (e.g., Kiro IDE).    

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.

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.

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!

We are seeking a skilled System Administrator and DevOps Engineer to join AmpereHour Energy, where you will play a crucial role in making sure our software systems run without downtime and our infrastructure scales well. This position involves working on cloud and physical servers across multiple operating systems and fundamental understanding of computers and networking.

At AmpereHour Energy, we are dedicated to advancing sustainable energy solutions. Our team thrives on collaboration and innovation, driving impactful projects that contribute to a greener future. We value expertise and creativity, making it an exciting place for tech professionals to grow.

If you are interested in this opportunity and meet the qualifications outlined in the job description, we encourage you to apply and explore how you can contribute to our mission.

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.

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)

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.

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

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

Job Overview:

We are looking for a high-ownership Software Engineer with hands-on experience in modern full-stack development. The role demands strong fundamentals, the ability to work in a startup environment, and a mindset to build, iterate, and scale products.

You will be working closely with founders and cross-functional teams to build robust, scalable, and high-performance applications.

Core Responsibilities

·        Develop and maintain web applications using Next.js (frontend) and Nest.js (backend)

·        Design, build, and optimize RESTful APIs and backend services

·        Translate business requirements into scalable technical solutions

·        Collaborate with product, design, and business teams for feature development

·        Debug, troubleshoot, and improve application performance

·        Ensure code quality through clean architecture, testing, and best practices

·        Participate in deployment, monitoring, and continuous improvement cycles 

Technical Requirements

·        Strong proficiency in JavaScript and TypeScript

·        Solid understanding of web fundamentals (HTML, CSS, APIs, browser behavior)

·        Hands-on experience with Next.js and Nest.js

·        Working knowledge of PostgreSQL or relational databases

·        Familiarity with Git and GitHub (version control workflows)

·        Understanding of API design principles and backend architecture

Good-to-Have Skills

·        Experience with deployment platforms (Digital Ocean, AWS, Docker, etc.)

·        Knowledge of authentication, authorization, and security practices

·        Exposure to CI/CD pipelines

·        Understanding of scalable system design basics

What We Want

·        Strong problem-solving mindset

·        Ability to learn fast and adapt quickly

·        Comfort working in an unstructured startup environment

·        Ownership-driven attitude (not just task execution)

·        Clear communication and collaboration skills

Ideal Candidate Profile

·        Projects demonstrating end-to-end ownership

·        Contributions on GitHub (active repositories, clean code)

·        Experience building real-world applications (not just tutorials)

·        Ability to explain technical decisions and trade-offs

What You Will Get

·        Opportunity to work directly with startup founders

·        Fast-paced learning environment and accelerated skill development

·        Exposure to real product building and scaling challenges

·        Freedom to experiment, build, and innovate

·        Performance-driven growth and responsibility

·        Competitive compensation aligned with your potential

Additional Details

·        Joining: Immediate (7–15 days preferred)

·        Probation: 3 Months 

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

Experience: 6+ Years

Location: Chennai & Pune

Work Model: Hybrid

Notice Period: Immediate Joiners Preferred

Role Overview

We are looking for a highly skilled Senior Python Engineer to design, develop, and scale robust backend systems and data-driven applications. The ideal candidate should have strong problem-solving skills, experience with modern Python frameworks, and exposure to cloud and emerging technologies like Generative AI and LLMs.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python
• Build and optimize RESTful APIs using Flask or FastAPI
• Work on data manipulation, processing, and transformation using Python libraries
• Collaborate with cross-functional teams to define and deliver high-quality solutions
• Develop efficient, reusable, and reliable code with strong attention to performance
• Implement containerization and orchestration using Docker and Kubernetes
• Ensure application security, data protection, and compliance best practices
• Manage code versioning using Git and follow CI/CD best practices
• Contribute to cloud-based deployments and infrastructure
• Explore and implement solutions using Generative AI and Large Language Models (LLMs)

Required Skills & Qualifications

• 6+ years of hands-on experience in Python development
• Strong understanding of Python fundamentals and problem-solving skills
• Experience with data manipulation libraries (e.g., Pandas, NumPy)
• Expertise in building REST APIs using Flask or FastAPI
• Solid understanding of ORM frameworks (e.g., SQLAlchemy, Django ORM)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with Docker and Kubernetes
• Strong knowledge of application security principles
• Proficiency in Git and version control practices
• Exposure to Generative AI concepts and working with LLMs

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

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!

Job Details

- Job Title: Lead Software Engineer - Java, Python, API Development

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 8-10 years

- Employment Type: Full Time

- Job Location: Pune & Trivandrum/ Thiruvananthapuram

- CTC Range: Best in Industry

Job Description

Job Summary

We are seeking a Lead Software Engineer with strong hands-on expertise in Java and Python to design, build, and optimize scalable backend applications and APIs. The ideal candidate will bring deep experience in cloud technologies, large-scale data processing, and leading the design of high-performance, reliable backend systems.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using Java and Python
• Build and optimize Java-based APIs for large-scale data processing
• Ensure high performance, scalability, and reliability of backend systems
• Architect and manage backend services on cloud platforms (AWS, GCP, or Azure)
• Collaborate with cross-functional teams to deliver production-ready solutions
• Lead technical design discussions and guide best practices

Requirements

• 8+ years of experience in backend software development
• Strong proficiency in Java and Python
• Proven experience building scalable APIs and data-driven applications
• Hands-on experience with cloud services and distributed systems
• Solid understanding of databases, microservices, and API performance optimization

Nice to Have

• Experience with Spring Boot, Flask, or FastAPI
• Familiarity with Docker, Kubernetes, and CI/CD pipelines
• Exposure to Kafka, Spark, or other big data tools

Skills

Java, Python, API Development, Data Processing, AWS Backend

Skills: Java, API development, Data Processing, AWS backend, Python,

Must-Haves

Java (8+ years), Python (8+ years), API Development (8+ years), Cloud Services (AWS/GCP/Azure), Database & Microservices

8+ years of experience in backend software development

Strong proficiency in Java and Python

Proven experience building scalable APIs and data-driven applications

Hands-on experience with cloud services and distributed systems

Solid understanding of databases, microservices, and API performance optimization

Mandatory Skills: Java API AND AWS

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Pune, Trivandrum

JOB DETAILS:

* Job Title: Specialist I - DevOps Engineering

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 7-10 years

* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram

Job Description

Job Summary:

As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.

The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.

Key Responsibilities:

• Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
• Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
• Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
• Define migration scope — determine how much history to migrate and plan the repository structure.
• Manage branch renaming and repository organization for optimized post-migration workflows.
• Collaborate with development teams to determine migration points and finalize migration strategies.
• Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.

Required Qualifications:

• Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
• Hands-on experience with P4-Fusion.
• Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
• Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
• Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
• Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
• Familiarity with CI/CD pipeline integration to validate workflows post-migration.
• Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
• Excellent communication and collaboration skills for cross-team coordination and migration planning.
• Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.

Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools

Must-Haves

Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)

Role: DevOps Engineer

Experience: 7+ Years

Location: Pune / Trivandrum

Work Mode: Hybrid

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

• Drive CI/CD pipelines for microservices and cloud architectures
• Design and operate cloud-native platforms (AWS/Azure)
• Manage Kubernetes/OpenShift clusters and containerized applications
• Develop automated pipelines and infrastructure scripts
• Collaborate with cross-functional teams on DevOps best practices
• Mentor development teams on continuous delivery and reliability
• Handle incident management, troubleshooting, and root cause analysis

𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐒𝐤𝐢𝐥𝐥𝐬:

• 7+ years in DevOps/SRE roles
• Strong experience with AWS or Azure
• Hands-on with Docker, Kubernetes, and/or OpenShift
• Proficiency in Jenkins, Git, Maven, JIRA
• Strong scripting skills (Shell, Python, Perl, Ruby, JavaScript)
• Solid networking knowledge and troubleshooting skills
• Excellent communication and collaboration abilities

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬:

• Experience with Helm, monitoring tools (Splunk, Grafana, New Relic, Datadog)
• Knowledge of Microservices and SOA architectures
• Familiarity with database technologies

Job Title : Java Backend Developer

Experience : 3 – 8 Years

Location : Pune (Onsite) (Pune candidates Only)

Notice Period : Immediate to 15 Days (or serving NP whose LWD is near)

About the Role :

We are seeking an experienced Java Backend Developer with strong hands-on skills in backend microservices development, API design, cloud platforms, observability, and CI/CD.

The ideal candidate will contribute to building scalable, secure, and reliable applications while working closely with cross-functional teams.

Mandatory Skills : Java 8 / Java 17, Spring Boot 3.x, REST APIs, Hibernate / JPA, MySQL, MongoDB, Prometheus / Grafana / Spring Actuators, AWS, Docker, Jenkins / GitHub Actions, GitHub, Windows 7 / Linux.

Key Responsibilities :

• Design, develop, and maintain backend microservices and REST APIs
• Implement data persistence using relational and NoSQL databases
• Ensure performance, scalability, and security of backend systems
• Integrate observability and monitoring tools for production environments
• Work within CI/CD pipelines and containerized deployments
• Collaborate with DevOps, QA, and product teams for feature delivery
• Troubleshoot, optimize, and improve existing modules and services

Mandatory Skills :

• Languages & Frameworks : Java 8, Java 17, Spring Boot 3.x, REST APIs, Hibernate, JPA
• Databases : MySQL, MongoDB
• Observability : Prometheus, Grafana, Spring Actuators
• Cloud Technologies : AWS
• Containerization Tools : Docker
• CI/CD Tools : Jenkins, GitHub Actions
• Version Control : GitHub
• Operating Systems : Windows 7, Linux

Nice to Have :

• Strong analytical and debugging abilities
• Experience working in Agile/Scrum environments
• Good communication and collaborative skills

What You’ll Do:

As a Sr. Data Scientist, you will work closely across DeepIntent Data Science teams located in New York, India, and Bosnia. The role will focus on building predictive models, implementing data-driven solutions to maximize ad effectiveness. You will also lead efforts in generating analyses and insights related to the measurement of campaign outcomes, Rx, patient journey, and supporting the evolution of the DeepIntent product suite. Activities in this position include developing and deploying models in production, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.

• Explore ways to create better predictive models.
• Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights.
• Explore ways of using inference, statistical, and machine learning techniques to improve the performance of existing algorithms and decision heuristics.
• Design and deploy new iterations of production-level code.
• Contribute posts to our upcoming technical blog.

Who You Are:

• Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, or Data Science.
• 5+ years of working experience as a Data Scientist or Researcher in digital marketing, consumer advertisement, telecom, or other areas requiring customer-level predictive analytics.
• Advanced proficiency in performing statistical analysis in Python, including relevant libraries, is required.
• Experience working with data processing, transformation and building model pipelines using tools such as Spark, Airflow, and Docker.
• You have an understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications).
• You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference…).
• You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing.
• You can write production level code, work with Git repositories.
• Active Kaggle participant.
• Working experience with SQL.
• Familiar with medical and healthcare data (medical claims, Rx, preferred).
• Conversant with cloud technologies such as AWS or Google Cloud.

Job Description

We are seeking a highly skilled Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) and CI/CD automation to lead cloud infrastructure initiatives. The ideal candidate will design and implement robust CI/CD pipelines, automate deployments, ensure platform reliability, and drive continuous improvement in cloud operations and DevOps practices.

Key Responsibilities:

• Design, develop, and optimize end-to-end CI/CD pipelines using Jenkins, with a strong focus on Declarative Pipeline syntax.
• Automate deployment, scaling, and management of applications across various GCP services including GKE, Cloud Run, Compute Engine, Cloud SQL, Cloud Storage, VPC, and Cloud Functions.
• Collaborate closely with development and DevOps teams to ensure seamless integration of applications into the CI/CD pipeline and GCP environment.
• Implement and manage monitoring, logging, and ing solutions to maintain visibility, reliability, and performance of cloud infrastructure and applications.
• Ensure compliance with security best practices and organizational policies across GCP environments.
• Document processes, configurations, and architectural decisions to maintain operational transparency.
• Stay updated with the latest GCP services, DevOps, and SRE best practices to enhance infrastructure efficiency and reliability.

Mandatory Skills:

• Google Cloud Platform (GCP) – Hands-on experience with core GCP compute, networking, and storage services.
• Jenkins – Expertise in Declarative Pipeline creation and optimization.
• CI/CD – Strong understanding of automated build, test, and deployment workflows.
• Solid understanding of SRE principles including automation, scalability, observability, and system reliability.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes – GKE).
• Proficiency in scripting languages such as Shell, Python, or Groovy for automation tasks.

Preferred Skills:

• Experience with Terraform, Ansible, or Cloud Deployment Manager for Infrastructure as Code (IaC).
• Exposure to monitoring and observability tools like Stackdriver, Prometheus, or Grafana.
• Knowledge of multi-cloud or hybrid environments (AWS experience is a plus).
• GCP certification (Professional Cloud DevOps Engineer / Cloud Architect) preferred.

Skills

Gcp, Jenkins, CICD Aws,

Nice to Haves

Experience with Terraform, Ansible, or Cloud Deployment Manager for Infrastructure as Code (IaC).

Exposure to monitoring and observability tools like Stackdriver, Prometheus, or Grafana.

Knowledge of multi-cloud or hybrid environments (AWS experience is a plus).

GCP certification (Professional Cloud DevOps Engineer / Cloud Architect) preferred.

******

Notice period - 0 to 15days only

Location – Pune, Trivandrum, Kochi, Chennai

Job Description – Full Stack Developer (React + Node.js)

Experience: 5–8 Years

Location: Pune

Work Mode: WFO

Employment Type: Full-time

About the Role

We are looking for an experienced Full Stack Developer with strong hands-on expertise in React and Node.js to join our engineering team. The ideal candidate should have solid experience building scalable applications, working with production systems, and collaborating in high-performance tech environments.

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications using React and Node.js.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Write clean, maintainable, and efficient code following OOP/FP and SOLID principles.
• Work with relational databases such as PostgreSQL or MySQL.
• Deploy and manage applications in cloud environments (preferably GCP or AWS).
• Optimize application performance, troubleshoot issues, and ensure high availability in production systems.
• Utilize containerization tools like Docker for efficient development and deployment workflows.
• Integrate third-party services and APIs, including AI APIs and tools.
• Contribute to improving development processes, documentation, and best practices.

Required Skills

• Strong experience with React.js (frontend).
• Solid hands-on experience with Node.js (backend).
• Good understanding of relational databases: PostgreSQL / MySQL.
• Experience working in production environments and debugging live systems.
• Strong understanding of OOP or Functional Programming, and clean coding standards.
• Knowledge of Docker or other containerization tools.
• Experience with cloud platforms (GCP or AWS).
• Excellent written and verbal communication skills.

Good to Have

• Experience with Golang or Elixir.
• Familiarity with Kubernetes, RabbitMQ, Redis, etc.
• Contributions to open-source projects.
• Previous experience working with AI APIs or machine learning tools.

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)

Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker

******

Notice period - 0 to 15 days only 

Location : Pune & Hyderabad only

Job Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Required Skills & Qualifications:

✔ Experience: 4+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

Role: DevOps Engineer

Experience: 2–3+ years

Location: Pune

Work Mode: Hybrid (3 days Work from office)

Mandatory Skills:

• Strong hands-on experience with CI/CD tools like Jenkins, GitHub Actions, or AWS CodePipeline
• Proficiency in scripting languages (Bash, Python, PowerShell)
• Hands-on experience with containerization (Docker) and container management
• Proven experience managing infrastructure (On-premise or AWS/VMware)
• Experience with version control systems (Git/Bitbucket/GitHub)
• Familiarity with monitoring and logging tools for system performance tracking
• Knowledge of security best practices and compliance standards
• Bachelor's degree in Computer Science, Engineering, or related field
• Willingness to support production issues during odd hours when required

Preferred Qualifications:

• Certifications in AWS, Docker, or VMware
• Experience with configuration management tools like Ansible
• Exposure to Agile and DevOps methodologies
• Hands-on experience with Virtual Machines and Container orchestration

Job Details

- Job Title: ML Engineer II - Aws, Aws Cloud

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 6-12 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description:

Core Responsibilities:

? The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency

? Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.

? Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.

? Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.

? System Integration: Integrate models into existing systems and workflows.

? Model Deployment: Deploy models to production environments and monitor performance.

? Collaboration: Work closely with data scientists, software engineers, and other stakeholders.

? Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

? Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).

? Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph

? Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.

? Knowledge of model monitoring and performance evaluation.

Required experience:

? Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements

? AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in

ML workflows

? AWS data: Redshift, Glue

? Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Aws, Aws Cloud, Amazon Redshift, Eks

NP: Immediate – 30 Days

Position-Tech Lead

Experience: 8-10

Job Location: Pune 

We are seeking a highly skilled Tech Lead with strong expertise in Java, microservices architecture, and cloud-native application development. The ideal candidate will bring hands-on leadership experience in designing scalable solutions, guiding development teams, and collaborating with DevOps engineers on OpenShift (OCP) platforms. This role requires a blend of technical leadership, solution design, and delivery ownership.

Key Responsibilities

Lead the design and development of Java / Spring Boot based microservices in a cloud-native environment.

Provide technical leadership to a team of developers, ensuring adherence to coding, security, and architectural best practices.

Collaborate with architects and DevOps engineers to deploy and manage microservices on Red Hat OpenShift (OCP).

Oversee end-to-end delivery including requirement analysis, design, development, code review, testing, and deployment.

Define and implement API specifications, integration patterns, and microservices orchestration.

Work closely with DevOps teams to integrate CI/CD pipelines, containerized deployments, Helm, and GitOps workflows.

Ensure application performance, scalability, and reliability with proactive observability practices (Grafana, Prometheus, etc.).

Required Skills & Qualifications

8-10 years of proven experience in Java application development with at least 4+ years in microservices architecture.

Strong expertise in Spring Boot, REST APIs, JPA/Hibernate, and messaging frameworks (Kafka, RabbitMQ, etc.).

Hands-on experience with containerization (Docker) and orchestration (OpenShift/Kubernetes).

Familiarity with OCP DevOps practices including CI/CD (ArgoCD, Tekton, Jenkins), Helm, and YAML deployments.

Good understanding of observability stacks (Grafana, Prometheus, Loki, Alertmanager) and logging practices.

Solid knowledge of cloud-native design principles, scalability, and fault tolerance.

Exposure to security best practices (OAuth, RBAC, secrets management via Vault or similar). 

Job Position: Lead II - Software Engineering

Domain: Information technology (IT)

Location: India - Thiruvananthapuram

Salary: Best in Industry

Job Positions: 1

Experience: 8 - 12 Years

Skills: .Net, Sql Azure, Rest Api, Vue.Js

Notice Period: Immediate – 30 Days

Job Summary:

We are looking for a highly skilled Senior .NET Developer with a minimum of 7 years of experience across the full software development lifecycle, including post-live support. The ideal candidate will have a strong background in .NET backend API development, Agile methodologies, and Cloud infrastructure (preferably Azure). You will play a key role in solution design, development, DevOps pipeline enhancement, and mentoring junior engineers.

Key Responsibilities:

• Design, develop, and maintain scalable and secure .NET backend APIs.
• Collaborate with product owners and stakeholders to understand requirements and translate them into technical solutions.
• Lead and contribute to Agile software delivery processes (Scrum, Kanban).
• Develop and improve CI/CD pipelines and support release cadence targets, using Infrastructure as Code tools (e.g., Terraform).
• Provide post-live support, troubleshooting, and issue resolution as part of full lifecycle responsibilities.
• Implement unit and integration testing to ensure code quality and system stability.
• Work closely with DevOps and cloud engineering teams to manage deployments on Azure (Web Apps, Container Apps, Functions, SQL).
• Contribute to front-end components when necessary, leveraging HTML, CSS, and JavaScript UI frameworks.
• Mentor and coach engineers within a co-located or distributed team environment.
• Maintain best practices in code versioning, testing, and documentation.

Mandatory Skills:

• 7+ years of .NET development experience, including API design and development
• Strong experience with Azure Cloud services, including:
• Web/Container Apps
• Azure Functions
• Azure SQL Server
• Solid understanding of Agile development methodologies (Scrum/Kanban)
• Experience in CI/CD pipeline design and implementation
• Proficient in Infrastructure as Code (IaC) – preferably Terraform
• Strong knowledge of RESTful services and JSON-based APIs
• Experience with unit and integration testing techniques
• Source control using Git
• Strong understanding of HTML, CSS, and cross-browser compatibility

Good-to-Have Skills:

• Experience with Kubernetes and Docker
• Knowledge of JavaScript UI frameworks, ideally Vue.js
• Familiarity with JIRA and Agile project tracking tools
• Exposure to Database as a Service (DBaaS) and Platform as a Service (PaaS) concepts
• Experience mentoring or coaching junior developers
• Strong problem-solving and communication skills

Role: Data Scientist (Python + R Expertise)

Exp: 8 -12 Years

CTC: up to 30 LPA

Required Skills & Qualifications:

• 8–12 years of hands-on experience as a Data Scientist or in a similar analytical role.
• Strong expertise in Python and R for data analysis, modeling, and visualization.
• Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, caret, etc.).
• Strong understanding of statistical modeling, hypothesis testing, regression, and classification techniques.
• Experience with SQL and working with large-scale structured and unstructured data.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment practices (Docker, MLflow).
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• Experience with NLP, time series forecasting, or deep learning projects.
• Exposure to data visualization tools (Tableau, Power BI, or R Shiny).
• Experience working in product or data-driven organizations.
• Knowledge of MLOps and model lifecycle management is a plus.

If interested kindly share your updated resume on 82008 31681

Key Responsibilities

Test Architecture & Design

• Architect test frameworks and infrastructure to validate microservices and distributed systems in multi-cluster, hybrid-cloud environments.
• Design complex test scenarios simulating production-like workloads, scaling, failure injection, and recovery.
• Ensure reliability, scalability, and maintainability of test systems.

Automation & Scalability

• Drive test automation integrated with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Leverage Kubernetes APIs, Helm, and service meshes (Istio/Linkerd) for automation coverage of health, failover, and network resilience.
• Implement Infrastructure-as-Code (IaC) practices for test infrastructure to ensure repeatability and extensibility.

Technical Expertise

• Deep knowledge of Kubernetes internals, cluster lifecycle management, Helm, service meshes, and network policies.
• Strong scripting and automation skills with Python, Pytest, and Bash.
• Hands-on with observability stacks (Prometheus, Grafana, Jaeger) and performance benchmarking tools (e.g., K6).
• Experience with cloud platforms (AWS, Azure, GCP) and containerized CI/CD.
• Solid Linux proficiency: Bash scripting, debugging, networking, PKI management, Docker/containerd, GitOps/Flux, kubectl/Helm, troubleshooting multi-cluster environments.

Required Skills & Qualifications

• 6+ years in QA, Test Automation, or related engineering roles.
• Proven experience in architecting test frameworks for distributed/cloud-native systems.
• Expertise in Kubernetes, Helm, CI/CD, and cloud platforms (AWS/Azure/GCP).
• Strong Linux fundamentals with scripting and system debugging skills.
• Excellent problem-solving, troubleshooting, and technical leadership abilities.
• 
  

Job Title : Senior QA Automation Architect (Cloud & Kubernetes)

Experience : 6+ Years

Location : India (Multiple Offices)

Shift Timings : 12 PM to 9 PM (Noon Shift)

Working Days : 5 Days WFO (NO Hybrid)

About the Role :

We’re looking for a Senior QA Automation Architect with deep expertise in cloud-native systems, Kubernetes, and automation frameworks.

You’ll design scalable test architectures, enhance automation coverage, and ensure product reliability across hybrid-cloud and distributed environments.

Key Responsibilities :

• Architect and maintain test automation frameworks for microservices.
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions).
• Ensure reliability, scalability, and observability of test systems.
• Work closely with DevOps and Cloud teams to streamline automation infrastructure.

Mandatory Skills :

• Kubernetes, Helm, Docker, Linux
• Cloud Platforms : AWS / Azure / GCP
• CI/CD Tools : Jenkins, GitHub Actions
• Scripting : Python, Pytest, Bash
• Monitoring & Performance : Prometheus, Grafana, Jaeger, K6
• IaC Practices : Terraform / Ansible

Good to Have :

• Experience with Service Mesh (Istio/Linkerd).
• Container Security or DevSecOps exposure.

Job Title : React + Node.js Developer (Full Stack)

Experience : 5+ Years

Location : Mumbai or Pune (Final location to be decided post-interview)

Notice Period : Immediate to 15 Days

Interview Rounds : 1 Internal Round + 1 Client Round

Job Summary :

We are looking for a highly skilled Full Stack Developer (React + Node.js) with strong expertise in both frontend and backend development.

The ideal candidate should demonstrate hands-on experience with databases, excellent project understanding, and the ability to deliver scalable, high-performance applications in production environments.

Mandatory Skills :

React.js, Node.js, PostgreSQL/MySQL, JavaScript (ES6+), Docker, AWS/GCP, full-stack development, production system experience, and strong project understanding with hands-on database expertise.

Key Responsibilities :

• Design, develop, and deploy robust full-stack applications using React (frontend) and Node.js (backend).
• Exhibit a deep understanding of database design, optimization, and integration using PostgreSQL or MySQL.
• Translate project requirements into efficient, maintainable, and scalable technical solutions.
• Build clean, modular, and reusable components following SOLID principles and industry best practices.
• Manage backend services, APIs, and data-driven functionalities for large-scale applications.
• Work closely with product and engineering teams to ensure smooth end-to-end project delivery.
• Use Docker and cloud platforms (AWS/GCP) for containerization, deployment, and scaling of services.
• Participate in design discussions, code reviews, and troubleshooting production issues.

Required Skills :

• 5+ Years of hands-on experience in full-stack development using React and Node.js.
• Strong understanding and hands-on expertise with relational databases (PostgreSQL/MySQL).
• Solid grasp of JavaScript (ES6+), and proficiency in Object-Oriented Programming (OOP) or Functional Programming (FP).
• Proven experience working with production-grade systems and scalable architectures.
• Proficiency with Docker, API development, and cloud services (preferably AWS or GCP).
• Excellent project understanding, problem-solving ability, and strong communication skills (verbal and written).

Good to Have :

• Experience in Golang or Elixir for backend development.
• Knowledge of Kubernetes, Redis, RabbitMQ, or similar distributed tools.
• Exposure to AI APIs and tools.
• Contributions to open-source projects.

About the Role

We’re looking for a passionate Fullstack Product Engineer with a strong JavaScript foundation to work on a high-impact, scalable product. You’ll collaborate closely with product and engineering teams to build intuitive UIs and performant backends using modern technologies.

Responsibilities

• Build and maintain scalable features across the frontend and backend.
• Work with tech stacks like Node.js, React.js, Vue.js, and others.
• Contribute to system design, architecture, and code quality enforcement.
• Follow modern engineering practices including TDD, CI/CD, and live coding evaluations.
• Collaborate in code reviews, performance optimizations, and product iterations.

Required Skills

• 4–6 years of hands-on fullstack development experience.
• Strong command over JavaScript, Node.js, and React.js.
• Solid understanding of REST APIs and/or GraphQL.
• Good grasp of OOP principles, TDD, and writing clean, maintainable code.
• Experience with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, etc.
• Familiarity with HTML, CSS, and frontend performance optimization.

Good to Have

• Exposure to Docker, AWS, Kubernetes, or Terraform.
• Experience in other backend languages or frameworks.
• Experience with microservices and scalable system architectures.

Job Description: Python Developer  

Location: Pune   Employment Type: Full-Time   Experience: 0.6-1+ year 

Role Overview 

We are looking for a skilled Python Developer with 0.6-1+ years of experience to join our team. The ideal candidate should have hands-on experience in Python, REST APIs, Flask, and databases. You will be responsible for designing, developing, and maintaining scalable backend services.  

Key Responsibilities  

• Develop, test, and maintain high-quality Python applications.  
• Design and build RESTful APIs using Flask.  
• Integrate APIs with front-end and third-party services.  
• Work with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB,  Redis).  
• Optimize performance and troubleshoot issues in backend applications.  
• Collaborate with cross-functional teams to define and implement new features.  
• Follow best practices for code quality, security, and performance optimization.  

Required Skills  

• Strong proficiency in Python (0.6-1+ years).  
• Experience with Flask (or FastAPI/Django).  
• Hands-on experience with REST API development.  
• Proficiency in working with databases (SQL & NoSQL).  
• Familiarity with Git, Docker, and CI/CD pipelines is a plus.  

Preferred Qualifications  

• Bachelor's degree in Computer Science, Engineering, or a related field.  
• Experience working in Agile/Scrum environments.  
• Ability to write clean, scalable, and well-documented code. 

Job Description

We are seeking a highly skilled DevOps / Kubernetes Engineer. The ideal candidate will have strong expertise in container orchestration, infrastructure as code, and GitOps workflows, with hands-on experience in Azure cloud environments. You will be responsible for designing, deploying, and managing modern cloud-native infrastructure and applications at scale.

Key Responsibilities:

· Manage and operate Kubernetes clusters (AKS / K3s) for large-scale applications.

· Implement infrastructure as code using Terraform or OpenTofu for scalable, reliable, and secure infrastructure provisioning.

· Deploy and manage applications using Helm and ArgoCD with GitOps best practices.

· Work with Podman and Docker as container runtimes for development and production environments.

· Collaborate with cross-functional teams to ensure smooth deployment pipelines and CI/CD integrations.

· Optimize infrastructure for cost, performance, and reliability within Azure cloud.

· Troubleshoot, monitor, and maintain system health, scalability, and performance.

Required Skills & Experience:

· Strong hands-on experience with Kubernetes (AKS / K3s) cluster orchestration.

· Proficiency in Terraform or OpenTofu for infrastructure as code.

· Experience with Helm and ArgoCD for application deployment and GitOps.

· Solid understanding of Docker / Podman container runtimes.

· Cloud expertise in Azure with experience deploying and scaling workloads.

· Familiarity with CI/CD pipelines, monitoring, and logging frameworks.

· Knowledge of best practices around cloud security, scalability, and high availability.

Preferred Qualifications:

· Contributions to open-source projects under Apache 2.0 / MPL 2.0 licenses.

· Experience working in global distributed teams across CST/PST time zones.

· Strong problem-solving skills and ability to work independently in a fast-paced environment.

Job Summary:

We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.

Key Responsibilities:

• Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
• Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
• Develop and manage infrastructure using Terraform or CloudFormation.
• Manage and orchestrate containers using Docker and Kubernetes (EKS).
• Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
• Write robust automation scripts using Python and Shell scripting.
• Monitor system performance and availability, and ensure high uptime and reliability.
• Execute and optimize SQL queries for MSSQL and PostgreSQL databases.
• Maintain clear documentation and provide technical support to stakeholders and clients.
• 
  

Required Skills:

• Minimum 4+ years of experience in a DevOps or related role.
• Proven experience in client-facing engagements and communication.
• Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
• Proficiency in Infrastructure as Code using Terraform or CloudFormation.
• Hands-on experience with Docker and Kubernetes (EKS).
• Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
• Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
• Proficient in Python and Shell scripting.
• 
  

Preferred Qualifications:

AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.

Experience working in Agile/Scrum environments.

Strong problem-solving and analytical skills.

🚀 We’re Hiring: Senior Python Backend Developer 🚀

📍 Location: Baner, Pune (Work from Office)

💰 Compensation: ₹6 LPA

🕑 Experience Required: Minimum 2 years as a Python Backend Developer

About Us

Foto Owl AI is a fast-growing product-based company headquartered in Baner, Pune.

We specialize in:

⚡ Hyper-personalized fan engagement

🤖 AI-powered real-time photo sharing

📸 Advanced media asset management

What You’ll Do

As a Senior Python Backend Developer, you’ll play a key role in designing, building, and deploying scalable backend systems that power our cutting-edge platforms.

Architect and develop complex, secure, and scalable backend services

Build and maintain APIs & data pipelines for web, mobile, and AI-driven platforms

Optimize SQL & NoSQL databases for high performance

Manage AWS infrastructure (EC2, S3, RDS, Lambda, CloudWatch, etc.)

Implement observability, monitoring, and security best practices

Collaborate cross-functionally with product & AI teams

Mentor junior developers and conduct code reviews

Troubleshoot and resolve production issues with efficiency

What We’re Looking For

✅ Strong expertise in Python backend development

✅ Solid knowledge of Data Structures & Algorithms

✅ Hands-on experience with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB, Redis, etc.)

✅ Proficiency in RESTful APIs & Microservice design

✅ Knowledge of Docker, Kubernetes, and cloud-native systems

✅ Experience managing AWS-based deployments

Why Join Us?

At Foto Owl AI, you’ll be part of a passionate team building world-class media tech products used in sports, events, and fan engagement platforms. If you love scalable backend systems, real-time challenges, and AI-driven products, this is the place for you.

Job Summary:

We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.

Key Responsibilities:

• Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
• Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
• Develop and manage infrastructure using Terraform or CloudFormation.
• Manage and orchestrate containers using Docker and Kubernetes (EKS).
• Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
• Write robust automation scripts using Python and Shell scripting.
• Monitor system performance and availability, and ensure high uptime and reliability.
• Execute and optimize SQLqueries for MSSQL and PostgresQL databases.
• Maintain clear documentation and provide technical support to stakeholders and clients.

Required Skills:

• Minimum 4+ years of experience in a DevOps or related role.
• Proven experience in client-facing engagements and communication.
• Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
• Proficiency in Infrastructure as Code using Terraform or CloudFormation.
• Hands-on experience with Docker and Kubernetes (EKS).
• Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
• Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
• Proficient in Python and Shell scripting.

Preferred Qualifications:

• AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.
• Experience working in Agile/Scrum environments.
• Strong problem-solving and analytical skills.

Responsibilities:

• Work with product owners, managers, and customers to explore requirements and translate use-cases into functional requirements.
• Collaborate with cross-functional teams and architects to design, develop, test, and deploy web applications using ASP. NETCore | Open-source web framework for. NET, . NET Core, and C#.
• Build scalable, reliable, clean code and unit tests for. NET applications.
• Help maintain code quality, organization, and automation by performing code reviews, refactoring, and unit testing.
• Develop integration with third-party APIs and external applications to deliver robust and scalable applications.
• Maintain services, enhance, optimize, and upgrade existing systems.
• Contribute to architectural and design discussions and document design decisions.
• Effectively participate in planning meetings, retrospectives, daily stand-ups, and other meetings as part of the software development process.
• Contribute to the continuous improvement of development processes and practices.
• Resolve production issues, participate in production incident analysis by conducting effective troubleshooting and RCA within the SLA.
• Work with Operations teams on product deployment, issue resolution, and support.
• Mentor junior developers and assist in their professional growth. Stay updated with the latest technologies and best practices.

Requirements:

• 5+ years of experience with proficiency in C# language.
• Bachelor's or master's degree in computer science or a related field.
• Good working experience in. NET Framework, . NET Core, and ASP. NETCore | Open-source web framework for. NET and C#.
• Good understanding of OOP and design patterns - SOLID, Integration, REST, Micro-services, and cloud-native designs.
• Understanding of fundamental design principles behind building and scaling distributed applications.
• Knack for writing clean, readable, reusable, and testable C# code.
• Strong knowledge of data structures and collections in C#.
• Good knowledge of front-end development languages, including JavaScript, HTML5 and CSS.
• Experience in designing relational DB schema, PL/SQL queries performance tuning.
• Experience in working in an Agile environment following Scrum/SAFE methodologies.
• Knowledge of CI/CD, DevOps, containers, and automation frameworks.
• Experience in developing and deploying on at least one cloud environment.
• Excellent problem-solving, communication, and collaboration skills.
• Ability to work independently and effectively in a fast-paced environment.

🚀 Hiring: Dot net full stack at Deqode

⭐ Experience: 8+ Years

📍 Location: Bangalore | Mumbai | Pune | Gurgaon | Chennai | Hyderabad

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We’re looking for an experienced Dotnet Full Stack Developer with strong hands-on skills in ReactJS, .NET Core, and Azure Cloud Services (Azure Functions, Azure SQL, APIM, etc.).

⭐ Must-Have Skills:-

➡️ Design and develop scalable web applications using ReactJS, C#, and .NET Core.

➡️Azure (Functions, App Services, SQL, APIM, Service Bus)

➡️Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes.

➡️Advanced experience in Entity Framework Core and SQL Server.

➡️Expertise in RESTful API development and microservices.

Job Summary:

We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.

Key Responsibilities:

• Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
• Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
• Develop and manage infrastructure using Terraform or CloudFormation.
• Manage and orchestrate containers using Docker and Kubernetes (EKS).
• Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
• Write robust automation scripts using Python and Shell scripting.
• Monitor system performance and availability, and ensure high uptime and reliability.
• Execute and optimize SQL queries for MSSQL and PostgreSQL databases.
• Maintain clear documentation and provide technical support to stakeholders and clients.

Required Skills:

• Minimum 4+ years of experience in a DevOps or related role.
• Proven experience in client-facing engagements and communication.
• Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
• Proficiency in Infrastructure as Code using Terraform or CloudFormation.
• Hands-on experience with Docker and Kubernetes (EKS).
• Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
• Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
• Proficient in Python and Shell scripting.

Preferred Qualifications:

• AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.
• Experience working in Agile/Scrum environments.
• Strong problem-solving and analytical skills.

Work Mode & Timing:

• Hybrid – Pune-based candidates preferred.
• Working hours: 12:30 PM to 9:30 PM IST to align with client time zones.

Job Title : Senior Python Developer – Product Engineering

Experience : 5 to 8 Years

Location : Pune, India (Hybrid – 3-4 days WFO, 1-2 days WFH)

Employment Type : Full-time

Commitment : Minimum 3 years (with end-of-term bonus)

Openings : 2 positions

• Junior : 3 to 5 Years
• Senior : 5 to 8 Years

Mandatory Skills : Python 3.x, REST APIs, multithreading, Celery, encryption (OpenSSL/cryptography.io), PostgreSQL/Redis, Docker/K8s, secure coding

Nice to Have : Experience with EFSS/DRM/DLP platforms, delta sync, file systems, LDAP/AD/SIEM integrations

🎯 Roles & Responsibilities :

• Design and develop backend services for DRM enforcement, file synchronization, and endpoint telemetry.
• Build scalable Python-based APIs interacting with file systems, agents, and enterprise infra.
• Implement encryption workflows, secure file handling, delta sync, and file versioning.
• Integrate with 3rd-party platforms: LDAP, AD, DLP, CASB, SIEM.
• Collaborate with DevOps to ensure high availability and performance of hybrid deployments.
• Participate in code reviews, architectural discussions, and mentor junior developers.
• Troubleshoot production issues and continuously optimize performance.

✅ Required Skills :

• 5 to 8 years of hands-on experience in Python 3.x development.
• Expertise in REST APIs, Celery, multithreading, and file I/O.
• Proficient in encryption libraries (OpenSSL, cryptography.io) and secure coding.
• Experience with PostgreSQL, Redis, SQLite, and Linux internals.
• Strong command over Docker, Kubernetes, CI/CD, and Git workflows.
• Ability to write clean, testable, and scalable code in production environments.

➕ Preferred Skills :

• Background in DRM, EFSS, DLP, or enterprise security platforms.
• Familiarity with file diffing, watermarking, or agent-based tools.
• Knowledge of compliance frameworks (GDPR, DPDP, RBI-CSF) is a plus.

Job Title: Java Full Stack Developer

Experience: 6+ Years

Locations: Bangalore, Mumbai, Pune, Gurgaon

Work Mode: Hybrid

Notice Period: Immediate Joiners Preferred / Candidates Who Have Completed Their Notice Period

About the Role

We are looking for a highly skilled and experienced Java Full Stack Developer with a strong command over backend technologies and modern frontend frameworks. The ideal candidate will have deep experience with Java, ReactJS, and DevOps tools like Jenkins, Docker, and basic Kubernetes knowledge. You’ll be contributing to complex software solutions across industries, collaborating with cross-functional teams, and deploying production-grade systems in a cloud-native, CI/CD-driven environment.

Key Responsibilities

• Design and develop scalable web applications using Java (Spring Boot) and ReactJS
• Collaborate with UX/UI designers and backend developers to implement robust, efficient front-end interfaces
• Develop and maintain CI/CD pipelines using Jenkins, ensuring high-quality software delivery
• Containerize applications using Docker and ensure smooth deployment and orchestration using Kubernetes (basic level)
• Write clean, modular, and testable code and participate in code reviews
• Troubleshoot and resolve performance, reliability, and functional issues in production
• Work in Agile teams and participate in daily stand-ups, sprint planning, and retrospective meetings
• Ensure all security, compliance, and performance standards are met in the development lifecycle

Mandatory Skills

• Backend: Java, Spring Boot
• Frontend: ReactJS
• DevOps Tools: Jenkins, Docker
• Containers & Orchestration: Basic knowledge of Kubernetes
• Strong understanding of RESTful services and APIs
• Familiarity with Git and version control workflows
• Good understanding of SDLC, Agile/Scrum methodologies