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Lead Cloud Reliability Engineer

Job Responsibilities

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

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

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

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

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

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

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

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

● Identify the recurring manual activities and contribute to automation

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

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

● Build, maintain, and monitor conguration standards.

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

Qualifications

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

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

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

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

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

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

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

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

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

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

About the role

We are looking for talented Senior Backend Engineers (5+ years of experience) to join our team and take ownership of different parts of our stack. You will be working alongside a team of Engineers locally and directly with the U.S. Engineering team on all aspects of product/application development. You will leverage your experiences and abilities to inform decisions across product development and technology. You will help us build the foundation of our 2nd Headquarters in Pune: its culture, its processes, and its practices. There are a ton of interesting problems to solve, so come hungry. If your colleagues describe you as curious, driven, kind, and creative you are a culture fit.

What Success Looks Like

• You write, review and ship code in production. Your employer or client's success depends on the software you build
• You use Generative AI tools on a daily basis to enhance the quality and efficacy of your software and non-software deliverables
• You are a self-starter and enjoy working with minimal supervision
• You evaluate and make technical architecture decisions with a long-term view, optimizing for speed, quality, and safety
• You take pride in the product you create and the code that you write
• Your team can rely on you to get them out of a sticky situation in production
• You can work well on a team of sales executives, designers and engineers in an in-person environment
• You are passionate about the enterprise software development lifecycle and feel strongly about improving it
• You are a first principles engineer who exercises curiosity about the technologies you work with
• You can learn quickly about technologies, software and code that you are not familiar with, often from rudimentary documentation
• You take ownership of the code that you write, and you help the team operate with everything that you build, throughout its lifecycle
• You communicate openly and solicit feedback on important decisions, keeping the team aligned on your rationale
• You exercise an optimistic mindset and are willing to go the extra mile to make things work

Areas of Ownership

Our hiring process is designed for you to demonstrate a generalist set of capabilities, with a specialization in Backend Technologies.

Required Technical Experience (MUST HAVE):

• Expertise in Python -
• Deep hands-on experience with Terraform -
• Proficiency in Kubernetes -
• Experience with cloud platforms (GCP strongly preferred, AWS/Azure acceptable) -

Additional experience with some of the following:

• Backend Frameworks and Technologies (Node.js, NuxtJS, Express.js)
• Programming languages (JavaScript, TypeScript, Java, C++, Go)
• RPCs (REST, gRPC or GraphQL)
• Databases (SQL, NoSQL, Postgres, MongoDB, or Firebase)
• CI/CD (Jenkins, CircleCI, GitLab or similar)
• Source code versioning tools such as Git or Perforce
• Microservices architecture

Ways to stand out

• Familiarity with AI Platforms
• Extensive experience with building enterprise-scale applications with >99% SLAs
• Deep expertise across the full required stack: Python, Terraform, Kubernetes, and GCP

You'll Get...

• Competitive Salary
• Medical Insurance Benefits
• Employer Provident Fund contributions with Gratuity after 5 years of service
• Company-sponsored US onsite trips for high performers, based on business requirements
• Potential international transfer support for top performers, based on business requirements
• Technology (hardware, software, trainings, etc.) equipment and/or allowance
• The opportunity to re-shape an entire industry
• Beautiful office environment
• Meal allowance and/or food provision on site

Culture

Who we are: Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.

Lead Data Engineer

What are we looking for

real solver?

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

Your Responsibilities

What you will wake up to solve.

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

Welcome to Searce

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

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

Functional Skills 

the solver personas.

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

Experience & Relevance 

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

Join the ‘real solvers’

ready to futurify?

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

Director - Data engineering

What are we looking for

real solver?

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

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

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

2. Strategic Growth & Practice Scaling

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

3. Leadership & Unit Management

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

Welcome to Searce

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

We don’t do traditional.

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

Functional Skills

1. Delivery Management & Operational Excellence

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

2. Architectural Implementation & Technical Oversight

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

3. Unit Management & Commercial Execution

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

Tech Superpowers

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

Experience & Relevance

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

Join the ‘real solvers’

ready to futurify?

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

Solutions Architect - Data Engineering

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

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

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

What are we looking for

real solver?

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

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

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

Your Responsibilities

what you will wake up to solve.

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

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

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

Functional Skills:

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

Tech Superpowers:

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

Experience & Relevance:

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

Join the ‘real solvers’

ready to futurify?

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

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

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

Job Summary: 

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability. 

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost. 

Key Responsibilities: 

1. Cloud Infrastructure Design & Management 

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation. 
• Implement Google Cloud Storage, Cloud SQL, filestore, for data storage and processing needs. 
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability. 
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments. 

2. Kubernetes & Container Orchestration 

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE). 
• Work with Helm charts for microservices deployments. 
• Automate scaling, rolling updates, and zero-downtime deployments. 

3. Serverless & Compute Services 

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads. 
• Optimize containerized applications running on Cloud Run for cost efficiency and performance. 

4. CI/CD & DevOps Automation 

• Design, implement, and manage CI/CD pipelines using Azure DevOps. 
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting 
• Integrate security and compliance checks into the DevOps workflow (DevSecOps). 

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. 

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards. 

We are looking for a Golang Developer to help build and scale our platform. This role involves designing high-performance distributed systems, building robust APIs and contributing to systems that handle real-time workflows at scale. You will own problems end to end, working closely with product, engineering and platform teams to build solutions that are reliable and scalable.

Responsibilities

• Develop new and enhance existing microservices, libraries, and features that form our B2B KYC platform.
• Create and document APIs, Queue Contracts to be consumed by other services.
• Work closely with the Product and Engineering Leads to implement features following best design principles and patterns.
• Participate in all phases of the development cycle plan, design, implement, review, test, deploy, document, and training.
• Help junior developers with best practices like TDD etc. and make sure their code meets the standards.
• Educate them continuously to improve overall team performance and work quality.

Requirements

• Development experience (3 to 6 years) preferably on GoLang and scripting skills.
• Bachelors/Masters in Computer Science or equivalent experience.
• Strong understanding of Computer Science fundamentals, software design principles, algorithms & design patterns.
• Interest and ability to quickly learn and ramp up on new languages and technologies.
• Ability to write understandable, reliable and testable code with minimum supervision.
• Distributed, highly available systems running at large scale.
• Distributed platforms which use Kafka, Elasticsearch, Cassandra or similar systems.
• Cloud environments (e. g., Docker, AWS, GCP, Kubernetes etc., ).
• Asynchronous programming patterns (e. g., GO Routines/Channels, Async Programming).
• Experience in CI/CD (Continuous Integration & Delivery), AGILE work environments.
• Ability to troubleshoot and solve issues on distributed systems.

Why join Zoop

• Work on high-scale, real-time systems that power critical identity and onboarding workflows for fast-growing businesses
• Take end-to-end ownership of meaningful engineering problems while building clean, scalable, production-grade systems
• Grow in a strong engineering environment with exposure to distributed systems, cloud-native technologies, and modern architectures

Senior Software Engineer 

Challenge convention and work on cutting edge technology that is transforming the way our customers manage their physical, virtual and cloud computing environments. Virtual Instruments seeks highly talented people to join our growing team, where your contributions will impact the development and delivery of our product roadmap. Our award-winning Virtana Platform provides the only real-time, system-wide, enterprise scale solution for providing visibility into performance, health and utilization metrics, translating into improved performance and availability while lowering the total cost of the infrastructure supporting mission-critical applications.  

We are seeking an individual with expert knowledge in Systems Management and/or Systems Monitoring Software, Observability platforms and/or Performance Management Software and Solutions with insight into integrated infrastructure platforms like Cisco UCS, infrastructure providers like Nutanix, VMware, EMC & NetApp and public cloud platforms like Google Cloud and AWS to expand the depth and breadth of Virtana Products. 

Work Location: Pune/ Chennai

Job Type: Hybrid

Role Responsibilities: 

• The engineer will be primarily responsible for architecture, design and development of software solutions for the Virtana Platform 
• Partner and work closely with cross functional teams and with other engineers and product managers to architect, design and implement new features and solutions for the Virtana Platform. 
• Communicate effectively across the departments and R&D organization having differing levels of technical knowledge.  
• Work closely with UX Design, Quality Assurance, DevOps and Documentation teams. Assist with functional and system test design and deployment automation 
• Provide customers with complex and end-to-end application support, problem diagnosis and problem resolution 
• Learn new technologies quickly and leverage 3rd party libraries and tools as necessary to expedite delivery 

Required Qualifications:    

• Minimum of 7+ years of progressive experience with back-end development in a Client Server Application development environment focused on Systems Management, Systems Monitoring and Performance Management Software. 
• Deep experience in public cloud environment using Kubernetes and other distributed managed services like Kafka etc (Google Cloud and/or AWS) 
• Experience with CI/CD and cloud-based software development and delivery 
• Deep experience with integrated infrastructure platforms and experience working with one or more data collection technologies like SNMP, REST, OTEL, WMI, WBEM. 
• Minimum of 6 years of development experience with one or more of these high level languages like GO, Python, Java. Deep experience with one of these languages is required. 
• Bachelor’s or Master’s degree in computer science, Computer Engineering or equivalent 
• Highly effective verbal and written communication skills and ability to lead and participate in multiple projects 
• Well versed with identifying opportunities and risks in a fast-paced environment and ability to adjust to changing business priorities 
• Must be results-focused, team-oriented and with a strong work ethic 

Desired Qualifications: 

• Prior experience with other virtualization platforms like OpenShift is a plus 
• Prior experience as a contributor to engineering and integration efforts with strong attention to detail and exposure to Open-Source software is a plus 
• Demonstrated ability as a lead engineer who can architect, design and code with strong communication and teaming skills 
• Deep development experience with the development of Systems, Network and performance Management Software and/or Solutions is a plus 

About Virtana:  Virtana delivers the industry’s only broadest and deepest Observability Platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. 

Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana’s software solutions for over a decade. 

Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. 

About TVARIT

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

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

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

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

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

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

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

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

· Utilize Docker and Kubernetes for scalable data processing.

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

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

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

. 2 years of team handling experience.

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

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

· Good to have MLOps, DevOps including model lifecycle management

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

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

JOB DESCRIPTION:

Location: Pune, Mumbai

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

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 an Engineering Manager who combines technical depth with leadership strength. This role involves leading one or more product engineering pods, driving architecture decisions, ensuring delivery excellence, and working closely with stakeholders to build scalable web and mobile technology solutions. As a key part of our leadership team, you’ll play a pivotal role in mentoring engineers, improving processes, and fostering a culture of ownership, innovation, and continuous learning.

Roles and Responsibilities:

● Team Management: Lead, coach, and grow a team of 15-20 software engineers, tech leads, and QA engineers

● Technical Leadership: Guide the team in building scalable, high-performance web and mobile applications using modern frameworks and technologies

● Architecture Ownership: Architect robust, secure, and maintainable technology solutions aligned with product goals

● Project Execution: Ensure timely and high-quality delivery of projects by driving engineering best practices, agile processes, and cross-functional collaboration

● Stakeholder Collaboration: Act as a bridge between business stakeholders, product managers, and engineering teams to translate requirements into technology plans

● Culture & Growth: Help build and nurture a culture of technical excellence, accountability, and continuous improvement

● Hiring & Onboarding: Contribute to recruitment efforts, onboarding, and learning & development of team members.

Requirements:

● 8+ years of software development experience, with 2+ years in a technical leadership or engineering manager role

● Proven experience in architecting and building web and mobile applications at scale

● Hands-on knowledge of technologies such as JavaScript/TypeScript, Angular, React, Node.js, .NET, Java, Python, or similar stacks

● Solid understanding of cloud platforms (AWS/Azure/GCP) and DevOps practices

● Strong interpersonal skills with a proven ability to manage stakeholders and lead diverse teams

● Excellent problem-solving, communication, and organizational skills

● Nice to have:

• Prior experience in working with startups or product-based companies
• Experience mentoring tech leads and helping shape engineering culture
• Exposure to AI/ML, data engineering, or platform thinking

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 ethics and culture.

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

About NonStop io Technologies

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

Brief Description:

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

Responsibilities

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

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

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

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

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

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

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

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

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

Qualifications & Skills

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

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

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

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

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

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

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

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

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

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

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

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

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

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 Full Stack Engineer to join our engineering team. The ideal candidate will have strong experience in both frontend and backend development, with the ability to design, build, and scale high-quality applications. You will collaborate with cross-functional teams to deliver robust and user-centric solutions.

Roles and Responsibilities:

● Design, develop, and maintain scalable web applications

● Build responsive and high-performance user interfaces

● Develop secure and efficient backend services and APIs

● Collaborate with product managers, designers, and QA teams to deliver features

● Write clean, maintainable, and testable code

● Participate in code reviews and contribute to engineering best practices

● Optimize applications for speed, performance, and scalability

● Troubleshoot and resolve production issues

● Contribute to architectural decisions and technical improvements.

Requirements:

● 3 to 5 years of experience in full-stack development

● Strong proficiency in frontend technologies such as React, Angular, or Vue

● Solid experience with backend technologies such as Node.js, .NET, Java, or Python

● Experience in building RESTful APIs and microservices

● Strong understanding of databases such as PostgreSQL, MySQL, MongoDB, or SQL Server

● Experience with version control systems like Git

● Familiarity with CI CD pipelines

● Good understanding of cloud platforms such as AWS, Azure, or GCP

● Strong understanding of software design principles and data structures

● Experience with containerization tools such as Docker

● Knowledge of automated testing frameworks

● Experience working in Agile environments

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!

What You’ll Do:

We are looking for a Staff Operations Engineer based in Pune, India who can master both DeepIntent’s data architectures and pharma research and analytics methodologies to make significant contributions to how health media is analyzed by our clients. This role requires an Engineer who not only understands DBA functions but also how they impact research objectives and can work with researchers and data scientists to achieve impactful results.  

This role will be in the Engineering Operations team and will require integration and partnership with the Engineering Organization. The ideal candidate is a self-starter who is inquisitive who is not afraid to take on and learn from challenges and will constantly seek to improve the facets of the business they manage. The ideal candidate will also need to demonstrate the ability to collaborate and partner with others.  

• Serve as the Engineering interface between Analytics and Engineering teams.
• Develop and standardize all interface points for analysts to retrieve and analyze data with a focus on research methodologies and data-based decision-making.
• Optimize queries and data access efficiencies, serve as an expert in how to most efficiently attain desired data points.
• Build “mastered” versions of the data for Analytics-specific querying use cases.
• Establish a formal data practice for the Analytics practice in conjunction with the rest of DeepIntent.
• Interpret analytics methodology requirements and apply them to data architecture to create standardized queries and operations for use by analytics teams.
• Implement DataOps practices.
• Master existing and new Data Pipelines and develop appropriate queries to meet analytics-specific objectives.
• Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts.
• Operate between Engineers and Analysts to unify both practices for analytics insight creation.

Who You Are:

• 8+ years of experience in Tech Support (Specialised in Monitoring and maintaining Data pipeline).
• Adept in market research methodologies and using data to deliver representative insights.
• Inquisitive, curious, understands how to query complicated data sets, move and combine data between databases.
• Deep SQL experience is a must.
• Exceptional communication skills with the ability to collaborate and translate between technical and non-technical needs.
• English Language Fluency and proven success working with teams in the U.S.
• Experience in designing, developing and operating configurable Data pipelines serving high-volume and velocity data.
• Experience working with public clouds like GCP/AWS.
• Good understanding of software engineering, DataOps, and data architecture, Agile and DevOps methodologies.
• Proficient with SQL, Python or JVM-based language, Bash.
• Experience with any of Apache open-source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc. 
• Ability to think big, take bets and innovate, dive deep, hire and develop the best talent, learn and be curious.
• Experience in debugging UI and Backend issues will be add on.

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

What You’ll Do:

• Setting up formal data practices for the company.
• Building and running super stable and scalable data architectures.
• Making it easy for folks to add and use new data with self-service pipelines.
• Getting DataOps practices in place.
• Designing, developing, and running data pipelines to help out Products, Analytics, data scientists and machine learning engineers.
• Creating simple, reliable data storage, ingestion, and transformation solutions that are a breeze to deploy and manage.
• Writing and Managing reporting API for different products.
• Implementing different methodologies for different reporting needs.
• Teaming up with all sorts of people – business folks, other software engineers, machine learning engineers, and analysts.

Who You Are:

• Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University.
• 3.5+ years of experience in building and running data pipelines for tons of data.
• Experience with public clouds like GCP or AWS.
• Experience with Apache open-source projects like Spark, Druid, Airflow, and big data databases like BigQuery, Clickhouse.
• Experience making data architectures that are optimised for both performance and cost.
• Good grasp of software engineering, DataOps, data architecture, Agile, and DevOps.
• Proficient in SQL, Java, Spring Boot, Python, and Bash.
• Good communication skills for working with technical and non-technical people.
• Someone who thinks big, takes chances, innovates, dives deep, gets things done, hires and develops the best, and is always learning and curious.

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.

Company Overview:

Virtana delivers the industry’s only unified platform for Hybrid Cloud Performance, Capacity and Cost Management. Our platform provides unparalleled, real-time visibility into the performance, utilization, and cost of infrastructure across the hybrid cloud – empowering customers to manage their mission critical applications across physical, virtual, and cloud computing environments. Our SaaS platform allows organizations to easily manage and optimize their spend in the public cloud, assure resources are performing properly through real-time monitoring, and provide the unique ability to plan migrations across the hybrid cloud. 

As we continue to expand our portfolio, we are seeking a highly skilled and hands-on Staff Software Engineer in backend technologies to contribute to the futuristic development of our sophisticated monitoring products.

Position Overview:

As a Staff Software Engineer specializing in backend technologies for Storage and Network monitoring in an AI enabled Data center as well as Cloud, you will play a critical role in designing, developing, and delivering high-quality features within aggressive timelines. Your expertise in microservices-based streaming architectures and strong hands-on development skills are essential to solve complex problems related to large-scale data processing. Proficiency in backend technologies such as Java, Python is crucial.

Work Location: Pune

Job Type: Hybrid

Key Responsibilities:

• Hands-on Development: Actively participate in the design, development, and delivery of high-quality features, demonstrating strong hands-on expertise in backend technologies like Java, Python, Go or related languages.
• Microservices and Streaming Architectures: Design and implement microservices-based streaming architectures to efficiently process and analyze large volumes of data, ensuring real-time insights and optimal performance.
• Agile Development: Collaborate within an agile development environment to deliver features on aggressive schedules, maintaining a high standard of quality in code, design, and architecture.
• Feature Ownership: Take ownership of features from inception to deployment, ensuring they meet product requirements and align with the overall product vision.
• Problem Solving and Optimization: Tackle complex technical challenges related to data processing, storage, and real-time monitoring, and optimize backend systems for high throughput and low latency.
• Code Reviews and Best Practices: Conduct code reviews, provide constructive feedback, and promote best practices to maintain a high-quality and maintainable codebase.
• Collaboration and Communication: Work closely with cross-functional teams, including UI/UX designers, product managers, and QA engineers, to ensure smooth integration and alignment with product goals.
• Documentation: Create and maintain technical documentation, including system architecture, design decisions, and API documentation, to facilitate knowledge sharing and onboarding.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 8+ years of hands-on experience in backend development, demonstrating expertise in Java, Python or related technologies.
• Strong domain knowledge in Storage and Networking, with exposure to monitoring technologies and practices.
• Experience is handling the large data-lakes with purpose-built data stores (Vector databases, no-SQL, Graph, Time-series).
• Practical knowledge of OO design patterns and Frameworks like Spring, Hibernate.
• Extensive experience with cloud platforms such as AWS, Azure or GCP and development expertise on Kubernetes, Docker, etc.
• Solid experience designing and delivering features with high quality on aggressive schedules.
• Proven experience in microservices-based streaming architectures, particularly in handling large amounts of data for storage and networking monitoring.
• Familiarity with performance optimization techniques and principles for backend systems.
• Excellent problem-solving and critical-thinking abilities.
• Outstanding communication and collaboration skills.

Why Join Us:

• Opportunity to be a key contributor in the development of a leading performance monitoring company specializing in AI-powered Storage and Network monitoring.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.
• Professional growth and development opportunities.
• Chance to work on cutting-edge technology and products that make a real impact.

If you are a hands-on technologist with a proven track record of designing and delivering high-quality features on aggressive schedules and possess strong expertise in microservices-based streaming architectures, we invite you to apply and help us redefine the future of performance monitoring.

Google Data Engineer - SSE

Position Description

Google Cloud Data Engineer

Notice Period: Immediate to 30 days serving

Job Description:

We are seeking a highly skilled Data Engineer with extensive experience in Google Cloud Platform (GCP) data services and big data technologies. The ideal candidate will be responsible for designing, implementing, and optimizing scalable data solutions while ensuring high performance, reliability, and security.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures using GCP data services.

• Implement and optimize solutions using BigQuery, Dataproc, Composer, Pub/Sub, Dataflow, GCS, and BigTable.

• Work with GCP databases such as Bigtable, Spanner, CloudSQL, AlloyDB, ensuring performance, security, and availability.

• Develop and manage data processing workflows using Apache Spark, Hadoop, Hive, Kafka, and other Big Data technologies.

• Ensure data governance and security using Dataplex, Data Catalog, and other GCP governance tooling.

• Collaborate with DevOps teams to build CI/CD pipelines for data workloads using Cloud Build, Artifact Registry, and Terraform.

• Optimize query performance and data storage across structured and unstructured datasets.

• Design and implement streaming data solutions using Pub/Sub, Kafka, or equivalent technologies.

Required Skills & Qualifications:

• 8-15 years of experience

• Strong expertise in GCP Dataflow, Pub/Sub, Cloud Composer, Cloud Workflow, BigQuery, Cloud Run, Cloud Build.

• Proficiency in Python and Java, with hands-on experience in data processing and ETL pipelines.

• In-depth knowledge of relational databases (SQL, MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Scylla, Cassandra, DynamoDB).

• Experience with Big Data platforms such as Cloudera, Hortonworks, MapR, Azure HDInsight, IBM Open Platform.

• Strong understanding of AWS Data services such as Redshift, RDS, Athena, SQS/Kinesis.

• Familiarity with data formats such as Avro, ORC, Parquet.

• Experience handling large-scale data migrations and implementing data lake architectures.

• Expertise in data modeling, data warehousing, and distributed data processing frameworks.

• Deep understanding of data formats such as Avro, ORC, Parquet.

• Certification in GCP Data Engineering Certification or equivalent.

Good to Have:

• Experience in BigQuery, Presto, or equivalent.

• Exposure to Hadoop, Spark, Oozie, HBase.

• Understanding of cloud database migration strategies.

• Knowledge of GCP data governance and security best practices.

JD for Cloud engineer

Job Summary:

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
• Implement Google Cloud Storage, Cloud SQL, filestore,  for data storage and processing needs.
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ 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.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

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.

Job Title: Site Reliability Engineer (SRE) / Application Support Engineer

Experience: 3–7 Years

Location: Bangalore / Mumbai / Pune

About the Role

The successful candidate will join the S&C Site Reliability Engineering (SRE) Team, responsible for providing Tier 2/3 support to S&C business applications and environments. This role requires close collaboration with client-facing teams (Client Services, Product, and Research) as well as Infrastructure, Technology, and Application Development teams to maintain and support production and non-production environments.

Key Responsibilities

• Provide Tier 2/3 product technical support and issue resolution.
• Develop and maintain software tools to improve operations and support efficiency.
• Manage system and software configurations; troubleshoot environment-related issues.
• Identify opportunities to optimize system performance through configuration improvements or development suggestions.
• Plan, document, and deploy software applications across Unix/Linux, Azure, and GCP environments.
• Collaborate with Development and QA teams throughout the software release lifecycle.
• Analyze and improve release and deployment processes to drive automation and efficiency.
• Coordinate with infrastructure teams for maintenance, planned downtimes, and resource management across production and non-production environments.
• Participate in on-call support (minimum one week per month) for off-hour emergencies and maintenance activities.

Required Skills & Qualifications

• Education:
• Bachelor’s degree in Computer Science, Engineering, or a related field (BE/MCA).
• Master’s degree is a plus.
• Experience:
• 3–7 years in Production Support, Application Management, or Application Development (support/maintenance).
• Technical Skills:
• Strong Unix/Linux administration skills.
• Excellent scripting skills — Shell, Python, Batch (mandatory).
• Database expertise — Oracle (must have).
• Understanding of Software Development Life Cycle (SDLC).
• PowerShell knowledge is a plus.
• Experience in Java or Ruby development is desirable.
• Exposure to cloud platforms (GCP, Azure, or AWS) is an added advantage.
• Soft Skills:
• Excellent problem-solving and troubleshooting abilities.
• Strong collaboration and communication skills.
• Ability to work in a fast-paced, cross-functional environment.

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 3-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

Department: S&C – Site Reliability Engineering (SRE)  

Experience Required: 4–8 Years  

Location: Bangalore / Pune /Mumbai 

Employment Type: Full-time

• Provide Tier 2/3 technical product support to internal and external stakeholders. 
• Develop automation tools and scripts to improve operational efficiency and support processes. 
• Manage and maintain system and software configurations; troubleshoot environment/application-related issues. 
• Optimize system performance through configuration tuning or development enhancements. 
• Plan, document, and deploy applications in Unix/Linux, Azure, and GCP environments. 
• Collaborate with Development, QA, and Infrastructure teams throughout the release and deployment of lifecycles. 
• Drive automation initiatives for release and deployment processes. 
• Coordinate with infrastructure teams to manage hardware/software resources, maintenance, and scheduled downtimes across production and non-production environments. 
• Participate in on-call rotations (minimum one week per month) to address critical incidents and off-hour maintenance tasks. 

Key Competencies 

• Strong analytical, troubleshooting, and critical thinking abilities. 
• Excellent cross-functional collaboration skills. 
• Strong focus on documentation, process improvement, and system reliability. 
• Proactive, detail-oriented, and adaptable in a fast-paced work environment. 

🚀 We’re Hiring: React + Node.js Developer (Full Stack)

📍 Location: Pune

💼 Experience: 5–8 years

🕒 Notice Period: Immediate to 15 days

About the Role:

We’re looking for a skilled Full Stack Developer with hands-on experience in React and Node.js, and a passion for building scalable, high-performance applications.

Key Skills & Responsibilities:

Strong expertise in React (frontend) and Node.js (backend).

Experience with relational databases (PostgreSQL / MySQL).

Familiarity with production systems and cloud services (AWS / GCP).

Strong grasp of OOP / FP and clean coding principles (e.g., SOLID).

Hands-on with Docker, and good to have exposure to Kubernetes, RabbitMQ, Redis.

Experience or interest in AI APIs & tools is a plus.

Excellent communication and collaboration skills.

Bonus: Contributions to open-source projects.

We are seeking Cloud Developer with experience in GCP/Azure along with Terraform coding. They will help to manage & standardize the IaC module.

Experience:5 - 8 Years

Location:Mumbai & Pune

Mode of Work:Full Time

 Key Responsibilities:

• Design,   develop, and maintain robust software applications using most   common and popular coding languages suitable for the application   design, with a strong focus on clean, maintainable, and efficient   code.
• Develop,   maintain, and enhance Terraform modules to encapsulate common   infrastructure patterns and promote code reuse and standardization.
• Develop   RESTful APIs and backend services aligned with modern architectural   practices.
• Apply   object-oriented programming principles and design patterns to build   scalable systems.
• Build   and maintain automated test frameworks and scripts to   ensure high product quality.
• Troubleshoot   and resolve technical issues across application layers, from code to   infrastructure.
• Work   with cloud platforms such as Azure or   Google Cloud Platform (GCP).
• Use Git and   related version control practices effectively in a team-based   development environment.
• Integrate   and experiment with AI development tools like GitHub   Copilot, Azure OpenAI, or similar to boost engineering   efficiency.

Requirements:

• 5+   years of experience
• Experience   with IaC Module
• Terraform   coding experience along with Terraform   Module as a part of central platform team
• Azure/GCP   cloud experience is a must
• Experience   with C#/Python/Java Coding - is good to have

 If interested please share your updated resume with below details :

Total Experience -

Relevant Experience -

Current Location -

Current CTC -

Expected CTC -

Notice period -

Any offer in hand -

Job Description:

Position - Cloud Developer

Experience - 5 - 8 years

Location - Mumbai & Pune

Responsibilities:

• Design, develop, and maintain robust software applications using most common and popular coding languages suitable for the application design, with a strong focus on clean, maintainable, and efficient code.
• Develop, maintain, and enhance Terraform modules to encapsulate common infrastructure patterns and promote code reuse and standardization.
• Develop RESTful APIs and backend services aligned with modern architectural practices.
• Apply object-oriented programming principles and design patterns to build scalable systems.
• Build and maintain automated test frameworks and scripts to ensure high product quality.
• Troubleshoot and resolve technical issues across application layers, from code to infrastructure.
• Work with cloud platforms such as Azure or Google Cloud Platform (GCP).
• Use Git and related version control practices effectively in a team-based development environment.
• Integrate and experiment with AI development tools like GitHub Copilot, Azure OpenAI, or similar to boost engineering efficiency.

Skills:

• 5+ years of experience
• Experience with IaC Module
• Terraform coding experience along with Terraform Module as a part of central platform team
• Azure/GCP cloud experience is a must
• Experience with C#/Python/Java Coding - is good to have

Dear Candidate,

Greetings from Wissen Technology. 

We have an exciting Job opportunity for GCP SRE Engineer Professionals. Please refer to the Job Description below and share your profile if interested.   

 About Wissen Technology:

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
• The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
• 
  

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

Job Description: 

Please find below details:

Experience - 4+ Years

Location- Bangalore/Mumbai/Pune

Team Responsibilities

The successful candidate shall be part of the S&C – SRE Team. Our team provides a tier 2/3 support to S&C Business. This position involves collaboration with the client facing teams like Client Services, Product and Research teams and Infrastructure/Technology and Application development teams to perform Environment and Application maintenance and support.

Resource's key Responsibilities

• Provide Tier 2/3 product technical support.

• Building software to help operations and support activities.

• Manage system\software configurations and troubleshoot environment issues.

• Identify opportunities for optimizing system performance through changes in configuration or suggestions for development.

• Plan, document and deploy software applications on our Unix/Linux/Azure and GCP based systems.

• Collaborate with development and software testing teams throughout the release process.

• Analyze release and deployment processes to identify key areas for automation and optimization.

• Manage hardware and software resources & coordinate maintenance, planned downtimes with

infrastructure group across all the environments. (Production / Non-Production).

• Must spend minimum one week a month as on call support to help with off-hour emergencies and maintenance activities.

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 6-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

Dear Candidate,

Greetings from Wissen Technology. 

We have an exciting Job opportunity for GCP SRE Engineer Professionals. Please refer to the Job Description below and share your profile if interested.   

 About Wissen Technology:

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
• The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
• 
  

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

Job Description: 

Please find below details:

Experience - 4+ Years

Location- Bangalore/Mumbai/Pune

Team Responsibilities

The successful candidate shall be part of the S&C – SRE Team. Our team provides a tier 2/3 support to S&C Business. This position involves collaboration with the client facing teams like Client Services, Product and Research teams and Infrastructure/Technology and Application development teams to perform Environment and Application maintenance and support.

Resource's key Responsibilities

• Provide Tier 2/3 product technical support.

• Building software to help operations and support activities.

• Manage system\software configurations and troubleshoot environment issues.

• Identify opportunities for optimizing system performance through changes in configuration or suggestions for development.

• Plan, document and deploy software applications on our Unix/Linux/Azure and GCP based systems.

• Collaborate with development and software testing teams throughout the release process.

• Analyze release and deployment processes to identify key areas for automation and optimization.

• Manage hardware and software resources & coordinate maintenance, planned downtimes with

infrastructure group across all the environments. (Production / Non-Production).

• Must spend minimum one week a month as on call support to help with off-hour emergencies and maintenance activities.

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 6-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

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 Description

      The ideal candidate will possess expertise in Core Java (at least Java 8), Spring framework, JDBC, threading, database management, and cloud platforms such as Azure and GCP. The candidate should also have strong debugging skills, the ability to understand multi-service flow, experience with large data processing, and excellent problem-solving abilities.

JD:

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

Lead Frontend Architect (Vue.js & Firebase)

Amplifai transforms AI potential into measurable business value, guiding organizations from strategic planning to execution. With deep expertise in AI product development, technical architecture, regulatory compliance, and commercialization, we deliver secure, ethical, and high-performing solutions. Having co-founded one of Europe’s most innovative AI companies, our team drives unparalleled growth for clients through cutting-edge technologies like GPT tools, AI agents, and modern frameworks. Join our new Pune office to shape the future of AI-driven innovation!

One of our partners is transforming how the construction industry measures and manages carbon emissions, helping organizations meet their sustainability goals with accurate, scalable, and actionable insights. Their SaaS platform enables carbon footprint calculations, Life Cycle Assessment (LCA) data management, and complex environmental reporting — and we’re ready to take it from 70 customers to 700+ enterprise clients.

We’re seeking a Senior Cloud Architect & Tech Lead to spearhead the next phase of our platform’s growth. You’ll lead architectural decisions for a complex sustainability and carbon accounting platform built on Firebase/Google Cloud with a Vue.js frontend, driving scalability, enterprise readiness, and technical excellence. This is a hands-on leadership role where you’ll guide the engineering team, optimize system performance, and shape a long-term technical roadmap to support 10x growth — all while leveraging cutting-edge GenAI developer tools like Cursor, Claude, Lovable, and GitHub Copilot to accelerate delivery and innovation.

Key Responsibilities:

· Lead architecture design for a highly scalable, enterprise-ready SaaS platform built with Vue.js, Firebase Functions (Node.js), Firestore, Redis, and GenKit AI.

· Design and optimize complex hierarchical data models and computational workloads for high performance at scale.

· Evaluate platform evolution options — from deep Firebase optimizations to potential migration strategies — balancing technical debt, scalability, and enterprise needs.

· Implement SOC2/ISO27001-ready security controls including audit logging, data encryption, and enterprise-grade access management.

· Drive performance engineering to address Firestore fan-out queries, function cold starts, and database scaling bottlenecks.

· Oversee CI/CD automation and deployment pipelines for multi-environment enterprise releases.

· Design APIs and integration strategies to meet enterprise customer requirements and enable global scaling.

· Mentor and guide the development team, ensuring technical quality, scalability, and adoption of best practices.

· Collaborate cross-functionally with product managers, sustainability experts, and customer success teams to deliver impactful features and integrations.

· Plan and execute disaster recovery strategies, business continuity procedures, and cost-optimized infrastructure scaling.

· Maintain comprehensive technical documentation for architecture, processes, and security controls.

Required Skills & Experience:

· 5+ years of Google Cloud Platform experience with deep expertise in the Firebase ecosystem.

· Proven ability to scale SaaS platforms through 5–10x growth phases, ideally in an enterprise B2B environment.

· Strong background in serverless architecture, event-driven systems, and scaling NoSQL databases (Firestore, MongoDB, DynamoDB).

· Expertise in Vue.js for large-scale application performance and maintainability.

· Hands-on experience implementing enterprise security frameworks (SOC2, ISO27001) and compliance requirements.

· Demonstrated daily use of GenAI developer tools such as Cursor, Claude, Lovable, and GitHub Copilot to accelerate coding, documentation, and architecture work.

· Track record of performance optimization for high-traffic production systems.

· 3+ years leading engineering teams through architectural transitions and complex technical challenges.

· Strong communication skills to work with both technical and non-technical stakeholders.

Preferred Qualifications

· Domain knowledge in construction industry workflows or sustainability technology (LCA, carbon accounting).

· Experience with numerical computing, scientific applications, or computationally intensive workloads.

· Familiarity with multi-region deployments and advanced analytics architectures.

· Knowledge of data residency and privacy regulations

· Knowledge of BIM (Building Information Modeling), IFC standards for construction and engineering data interoperability.

Ideal Candidate

You’re a Senior Software Engineer who thrives on scaling complex systems for enterprise customers. You embrace GenAI tools as an integral part of your development workflow, using platforms like Cursor, Claude, Lovable, and GitHub Copilot to deliver faster and smarter. Experience with BIM, IFC, or Speckle is a strong plus, enabling you to bridge sustainability tech with real-world construction data standards. You balance deep technical execution with strategic thinking and can communicate effectively across teams. While direct sustainability or construction tech experience is a plus, your ability to quickly master complex domains is what will set you apart.

• Looking manage IaC module
• Terraform experience is a must
• Terraform Module as a part of central platform team
• Azure/GCP exp is a must
• C#/Python/Java coding – is good to have

Responsibilities:

● Design and build scalable APIs and microservices in Node.js (or equivalent backend frameworks).

● Develop and optimize high-performance systems handling large-scale data and concurrent users.

● Ensure system security, reliability, and fault tolerance.

● Collaborate closely with product managers, designers, and frontend engineers for seamless delivery.

● Write clean, maintainable, and well-documented code with a focus on best practices.

● Contribute to architectural decisions, technology choices, and overall system design.

● Monitor, debug, and continuously improve backend performance.

● Stay updated with modern backend technologies and bring innovation into the product.

Desired Qualifications & Skillset:

● 2+ years of professional backend development experience.

● Proficiency with Node.js, Express.js, or similar frameworks.

● Strong knowledge of web application architecture, databases (SQL/NoSQL), and caching strategies.

● Experience with cloud platforms (AWS/GCP/Azure), CI/CD pipelines, and containerization (Docker/Kubernetes) is a plus.

● Ability to break down complex problems into scalable solutions.

● Strong logical aptitude, quick learning ability, and a proactive mindset

Job Description

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

Work location: Pune/Mumbai/Bangalore

Experience: 4-7 Years 

Joining: Mid of October

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.

· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.

· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.

· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).

· Work with Helm charts, Istio, and service meshes for microservices deployments.

· Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.

· Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

· Design, implement, and manage CI/CD pipelines using Azure DevOps.

· Automate infrastructure deployment using Terraform, Bash and Power shell scripting

· Integrate security and compliance checks into the DevOps workflow (DevSecOps).

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.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

About Wissen Technology

Wissen Technology, established in 2015 and part of the Wissen Group (founded in 2000), is a specialized technology consulting company. We pride ourselves on delivering high-quality solutions for global organizations across Banking & Finance, Telecom, and Healthcare domains.

Here’s why Wissen Technology stands out:

Global Presence: Offices in US, India, UK, Australia, Mexico, and Canada.

Expert Team: Wissen Group comprises over 4000 highly skilled professionals worldwide, with Wissen Technology contributing 1400 of these experts. Our team includes graduates from prestigious institutions such as Wharton, MIT, IITs, IIMs, and NITs.

Recognitions: Great Place to Work® Certified.

Featured as a Top 20 AI/ML Vendor by CIO Insider (2020).

Impressive Growth: Achieved 400% revenue growth in 5 years without external funding.

Successful Projects: Delivered $650 million worth of projects to 20+ Fortune 500 companies.

For more details:

Website: www.wissen.com 

Wissen Thought leadership : https://www.wissen.com/articles/ 

LinkedIn: Wissen Technology

Job Title : AI Architect

Location : Pune (On-site | 3 Days WFO)

Experience : 6+ Years

Shift : US or flexible shifts

Job Summary :

We are looking for an experienced AI Architect to design and deploy AI/ML solutions that align with business goals.

The role involves leading end-to-end architecture, model development, deployment, and integration using modern AI/ML tools and cloud platforms (AWS/Azure/GCP).

Key Responsibilities :

• Define AI strategy and identify business use cases
• Design scalable AI/ML architectures
• Collaborate on data preparation, model development & deployment
• Ensure data quality, governance, and ethical AI practices
• Integrate AI into existing systems and monitor performance

Must-Have Skills :

• Machine Learning, Deep Learning, NLP, Computer Vision
• Data Engineering, Model Deployment (CI/CD, MLOps)
• Python Programming, Cloud (AWS/Azure/GCP)
• Distributed Systems, Data Governance
• Strong communication & stakeholder collaboration

Good to Have :

• AI certifications (Azure/GCP/AWS)
• Experience in big data and analytics

What You’ll Do:

We’re looking for a skilled DevOps Engineer to help us build and maintain reliable, secure, and scalable infrastructure. You will work closely with our development, product, and security teams to streamline deployments, improve performance, and ensure cloud infrastructure resilience.

Responsibilities:

● Deploy, manage, and monitor infrastructure on Google Cloud Platform (GCP)

● Build CI/CD pipelines using Jenkins and integrate them with Git workflows

● Design and manage Kubernetes clusters and helm-based deployments

● Manage infrastructure as code using Terraform

● Set up logging, monitoring, and alerting (Stackdriver, Prometheus, Grafana)

● Ensure security best practices across cloud resources, networks, and secrets

● Automate repetitive operations and improve system reliability

● Collaborate with developers to troubleshoot and resolve issues in staging/production environments

What We’re Looking For:

Required Skills:

● 1–3 years of hands-on experience in a DevOps or SRE role

● Strong knowledge of GCP services (IAM, GKE, Cloud Run, VPC, Cloud Build, etc.)

● Proficiency in Kubernetes (deployment, scaling, troubleshooting)

● Experience with Terraform for infrastructure provisioning

● CI/CD pipeline setup using Jenkins, GitHub Actions, or similar tools

● Understanding of DevSecOps principles and cloud security practices

● Good command over Linux, shell scripting, and basic networking concepts

Nice to have:

● Experience with Docker, Helm, ArgoCD

● Exposure to other cloud platforms (AWS, Azure)

● Familiarity with incident response and disaster recovery planning

● Knowledge of logging and monitoring tools like ELK, Prometheus, Grafana

Job title - Python developer

Exp – 4 to 6 years

Location – Pune/Mum/B’lore

PFB JD

Requirements:

• Proven experience as a Python Developer
• Strong knowledge of core Python and Pyspark concepts
• Experience with web frameworks such as Django or Flask
• Good exposure to any cloud platform (GCP Preferred)
• CI/CD exposure required
• Solid understanding of RESTful APIs and how to build them
• Experience working with databases like Oracle DB and MySQL
• Ability to write efficient SQL queries and optimize database performance
• Strong problem-solving skills and attention to detail
• Strong SQL programing (stored procedure, functions)
• Excellent communication and interpersonal skill

Roles and Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using pyspark
• Work closely with data scientists and analysts to provide them with clean, structured data.
• Optimize data storage and retrieval for performance and scalability.
• Collaborate with cross-functional teams to gather data requirements.
• Ensure data quality and integrity through data validation and cleansing processes.
• Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
• Stay up to date with industry best practices and emerging technologies in data engineering.

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.

· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.

· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.

· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).

· Work with Helm charts, Istio, and service meshes for microservices deployments.

· Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.

· Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

· Design, implement, and manage CI/CD pipelines using Azure DevOps.

· Automate infrastructure deployment using Terraform, Bash and Power shell scripting

· Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ 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.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

• Strong Site Reliability Engineer (SRE - CloudOps) Profile
• Mandatory (Experience 1) - Must have a minimum 1 years of experience in SRE (CloudOps)
• Mandatory (Core Skill 1) - Must have experience with Google Cloud platforms (GCP)
• Mandatory (Core Skill 2) - Experience with monitoring, APM, and alerting tools like Prometheus, Grafana, ELK, Newrelic, Pingdom, or Pagerduty
• Mandatory (Core Skill 3) ) - Hands-on experience with Kubernetes for orchestration and container management.
• Mandatory (Company) - B2C Product Companies.

Job Title : Lead Java Developer (Backend)

Experience Required : 8 to 15 Years

Open Positions : 5

Location : Any major metro city (Bengaluru, Pune, Chennai, Kolkata, Hyderabad)

Work Mode : Open to Remote / Hybrid / Onsite

Notice Period : Immediate Joiner/30 Days or Less

About the Role :

• We are looking for experienced Lead Java Developers who bring not only strong backend development skills but also a product-oriented mindset and leadership capability.
• This is an opportunity to be part of high-impact digital transformation initiatives that go beyond writing code—you’ll help shape future-ready platforms and drive meaningful change.
• This role is embedded within a forward-thinking digital engineering team that thrives on co-innovation, lean delivery, and end-to-end ownership of platforms and products.

Key Responsibilities :

• Design, develop, and implement scalable backend systems using Java and Spring Boot.
• Collaborate with product managers, designers, and engineers to build intuitive and reliable digital products.
• Advocate and implement engineering best practices : SOLID principles, OOP, clean code, CI/CD, TDD/BDD.
• Lead Agile-based development cycles with a focus on speed, quality, and customer outcomes.
• Guide and mentor team members, fostering technical excellence and ownership.
• Utilize cloud platforms and DevOps tools to ensure performance and reliability of applications.

What We’re Looking For :

• Proven experience in Java backend development (Spring Boot, Microservices).
• 8+ Years of hands-on engineering experience with at least 2+ years in a Lead role.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Good understanding of containerization and orchestration tools like Docker and Kubernetes.
• Exposure to DevOps and Infrastructure as Code practices.
• Strong problem-solving skills and the ability to design solutions from first principles.
• Prior experience in product-based or startup environments is a big plus.

Ideal Candidate Profile :

• A tech enthusiast with a passion for clean code and scalable architecture.
• Someone who thrives in collaborative, transparent, and feedback-driven environments.
• A leader who takes ownership beyond individual deliverables to drive overall team and project success.

Interview Process

1. Initial Technical Screening (via platform partner)
2. Technical Interview with Engineering Team
3. Client-facing Final Round

Additional Info :

• Targeting profiles from product/startup backgrounds.
• Strong preference for candidates with under 1 month of notice period.
• Interviews will be fast-tracked for qualified profiles.

We are looking for a Senior Data Engineer with strong expertise in GCP, Databricks, and Airflow to design and implement a GCP Cloud Native Data Processing Framework. The ideal candidate will work on building scalable data pipelines and help migrate existing workloads to a modern framework.

• Shift: 2 PM 11 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or those with a notice period of up to 30 days

Key Responsibilities:

• Design and implement a GCP Native Data Processing Framework leveraging Spark and GCP Cloud Services.
• Develop and maintain data pipelines using Databricks and Airflow for transforming Raw → Silver → Gold data layers.
• Ensure data integrity, consistency, and availability across all systems.
• Collaborate with data engineers, analysts, and stakeholders to optimize performance.
• Document standards and best practices for data engineering workflows.

Required Experience:

• 7-8 years of experience in data engineering, architecture, and pipeline development.
• Strong knowledge of GCP, Databricks, PySpark, and BigQuery.
• Experience with Orchestration tools like Airflow, Dagster, or GCP equivalents.
• Understanding of Data Lake table formats (Delta, Iceberg, etc.).
• Proficiency in Python for scripting and automation.
• Strong problem-solving skills and collaborative mindset.

⚠️ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

Dear,

We are excited to inform you about an exclusive opportunity at Xebia for a Senior Backend Engineer role.

📌 Job Details:

• Role: Senior Backend Engineer
•  Shift: 1 PM – 10 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or up to 30 days

🔹 Job Responsibilities:

✅ Design and develop scalable, reliable, and maintainable backend solutions

✅ Work on event-driven microservices architecture

✅ Implement REST APIs and optimize backend performance

✅ Collaborate with cross-functional teams to drive innovation

✅ Mentor junior and mid-level engineers

🔹 Required Skills:

✔ Backend Development: Scala (preferred), Java, Kotlin

✔ Cloud: AWS or GCP

✔ Databases: MySQL, NoSQL (Cassandra)

✔ DevOps & CI/CD: Jenkins, Terraform, Infrastructure as Code

✔ Messaging & Caching: Kafka, RabbitMQ, Elasticsearch

✔ Agile Methodologies: Scrum, Kanban

⚠ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response! Also, feel free to refer anyone in your network who might be a good fit.

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

 Urgent Hiring: Senior Java Developers |Bangalore (Hybrid) 🚀

We are looking for experienced Java professionals to join our team! If you have the right skills and are ready to make an impact, this is your opportunity!

📌 Role: Senior Java Developer

📌 Experience: 6 to 9 Years

📌 Education: BE/BTech/MCA (Full-time)

📌 Location: Bangalore (Hybrid)

📌 Notice Period: Immediate Joiners Only

✅ Mandatory Skills:

🔹 Strong Core Java

🔹 Spring Boot (data flow basics)

🔹 JPA

🔹 Google Cloud Platform (GCP)

🔹 Spring Framework

🔹 Docker, Kubernetes (Good to have)

Java Developer with GCP

Skills : Java and Spring Boot, GCP, Cloud Storage, BigQuery, RESTful API, 

EXP : SA(6-10 Years)

Loc : Bangalore, Mangalore, Chennai, Coimbatore, Pune, Mumbai, Kolkata

Np : Immediate to 60 Days.

Kindly share your updated resume via WA - 91five000260seven

We are seeking a highly skilled and experienced Offshore Data Engineer . The role involves designing, implementing, and testing data pipelines and products.

Qualifications & Experience:

bachelor's or master's degree in computer science, Information Systems, or a related field.

5+ years of experience in data engineering, with expertise in data architecture and pipeline development.

☁️ Proven experience with GCP, Big Query, Databricks, Airflow, Spark, DBT, and GCP Services.

️ Hands-on experience with ETL processes, SQL, PostgreSQL, MySQL, MongoDB, Cassandra.

Strong proficiency in Python and data modelling.

Experience in testing and validation of data pipelines.

Preferred: Experience with eCommerce systems, data visualization tools (Tableau, Looker), and cloud certifications.

If you meet the above criteria and are interested, please share your updated CV along with the following details:

Total Experience:

Current CTC:

Expected CTC:

Current Location:

Preferred Location:

Notice Period / Last Working Day (if serving notice):

⚠️ Kindly share your details only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

• TIDB (Good to have)
• Kubernetes( Must to have)
• MySQL(Must to have)
• Maria DB(Must to have)
• Looking candidate who has more exposure into Reliability over maintenance

Position: SDE-1 DevSecOps

Location: Pune, India

Experience Required: 0+ Years

We are looking for a DevSecOps engineer to contribute to product development, mentor team members, and devise creative solutions for customer needs. We value effective communication in person, in documentation, and in code. Ideal candidates thrive in small, collaborative teams, love making an impact, and take pride in their work with a product-focused, self-driven approach. If you're passionate about integrating security and deployment seamlessly into the development process, we want you on our team.

About FlytBase

FlytBase is a global leader in enterprise drone software automation. FlytBase platform is enabling drone-in-a-box deployments all across the globe and has the largest network of partners in 50+ countries.

The team comprises young engineers and designers from top-tier universities such as IIT-B, IIT-KGP, University of Maryland, Georgia Tech, COEP, SRM, KIIT and with deep expertise in drone technology, computer science, electronics, aerospace, and robotics.

The company is headquartered in Silicon Valley, California, USA, and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase continues to win awards globally - FlytBase was the Global Grand Champion at the ‘NTT Data Open Innovation Contest’ held in Tokyo, Japan, and was the recipient of ‘ TiE50 Award’ at TiE Silicon Valley.

Role and Responsibilities:

• Participate in the creation and maintenance of CI/CD solutions and pipelines.
• Leverage Linux and shell scripting for automating security and system updates, and design secure architectures using AWS services (VPC, EC2, S3, IAM, EKS/Kubernetes) to enhance application deployment and management.
• Build and maintain secure Docker containers, manage orchestration using Kubernetes, and automate configuration management with tools like Ansible and Chef, ensuring compliance with security standards.
• Implement and manage infrastructure using Terraform, aligning with security and compliance requirements, and set up Dynatrace for advanced monitoring, alerting, and visualization of security metrics. Develop Terraform scripts to automate and optimize infrastructure provisioning and management tasks.
• Utilize Git for secure source code management and integrate continuous security practices into CI/CD pipelines, applying vulnerability scanning and automated security testing tools.
• Contribute to security assessments, including vulnerability and penetration testing, NIST, CIS AWS, NIS2 etc.
• Implement and oversee compliance processes for SOC II, ISO27001, and GDPR.
• Stay updated on cybersecurity trends and best practices, including knowledge of SAST and DAST tools, OWASP Top10.
• Automate routine tasks and create tools to improve team efficiency and system robustness.
• Contribute to disaster recovery plans and ensure robust backup systems are in place.
• Develop and enforce security policies and respond effectively to security incidents.
• Manage incident response protocols, including on-call rotations and strategic planning.
• Conduct post-incident reviews to prevent recurrence and refine the system reliability framework.
• Implementing Service Level Indicators (SLIs) and maintaining Service Level Objectives (SLOs) and Service Level Agreements (SLAs) to ensure high standards of service delivery and reliability.

Best suited for candidates who: (Skills/Experience)

• Up to 4 years of experience in a related field, with a strong emphasis on learning and execution.
• Background in IT or computer science.
• Familiarity with CI/CD tools, cloud platforms (AWS, Azure, or GCP), and programming languages like Python, JavaScript, or Ruby.
• Solid understanding of network layers and TCP/IP protocols.
• In-depth understanding of operating systems, networking, and cloud services.
• Strong problem-solving skills with a 'hacker' mindset.
• Knowledge of security principles, threat modeling, risk assessment, and vulnerability management is a plus. 
• Relevant certifications (e.g., CISSP, GWAPT, OSCP) are a plus.

Compensation: 

This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit, and alignment with FlytBase’s long-term business strategy.

Perks:

• Fast-paced Startup culture
• Hacker mode environment
• Enthusiastic and approachable team
• Professional autonomy
• Company-wide sense of purpose
• Flexible work hours
• Informal dress code