Top Tech Jobs & Startup Jobs in Chennai

Develop cloud-based applications with strong Angular and TypeScript expertise while contributing to AWS, Kubernetes/EKS, backend services, microservices, CI/CD, infrastructure as code, and platform engineering initiatives. Build and support front-end and cloud services, troubleshoot containerized deployments, automate delivery pipelines, and collaborate across technology domains. Preferred experience includes Helm, Terraform/OpenTofu, Lambda, Node.js, Jenkins, cloud governance, event-driven systems, automated testing, and developer enablement tooling.

Develop data engineering and analytics solutions using Python, Snowflake, and AWS. Collaborate with analytics stakeholders to solve sophisticated problems, connect data to business strategy, and deliver measurable business value. The role requires strong analytical, technical, SQL, communication, and problem-solving skills, plus the ability to manage complex projects independently. Experience with large-scale datasets, relational and NoSQL databases, ETL tools, continuous integration, and Agile/Scrum is beneficial.

Lead Java Engineer responsible for designing and building greenfield applications using modern Java (17/21/25) and Spring Boot ecosystem (Data JPA, Web, Batch). Apply Clean/Hexagonal/CQRS patterns, optimize performance, and work with CI/CD (Jenkins/Azure Pipelines/GitHub Actions). Familiarity with Kubernetes, load balancing, and cloud platforms (Azure/AWS) for deployments.

Designs, builds, and maintains scalable automated test frameworks across UI, API, integration, and performance. Writes production-quality test code, integrates tests into CI/CD, drives shift-left testing, measures quality metrics, leads root cause analysis, manages test data/environments, mentors SDETs, and collaborates with Architecture, Security, and SRE to cover non-functional requirements.

Design, develop, test, and deploy scalable Java Spring Boot microservices on GCP. Build and maintain REST APIs, real-time systems, CI/CD pipelines and containerized deployments (Docker/Kubernetes). Integrate with mobile and third-party APIs, use message brokers (Kafka/RabbitMQ), and work with MySQL/Postgres or MongoDB. Collaborate across teams and maintain best practices.

Provide L2/L3 application support for SAP SuccessFactors Recruiting and Onboarding: resolve incidents, manage change requests, perform configuration changes, support integrations, maintain documentation, participate in testing and release management, and contribute to future Smart Recruiting migration/implementation efforts.

Develop and deploy production-grade Generative AI services using LLMs, RAG, embeddings and vector retrieval. Build APIs and microservices with FastAPI, integrate models and enterprise workflows, optimize model accuracy and latency, implement monitoring/logging/evaluation frameworks, and support cloud/Docker deployments.

Design, develop, and maintain Power BI dashboards and semantic models using Snowflake as the data warehouse. Build efficient SQL queries, DAX calculations, implement RLS, optimize performance, schedule refreshes, and collaborate with stakeholders to translate requirements into scalable BI solutions.

Design, build, and maintain scalable test automation frameworks and suites for web, API, microservices, and backend systems. Integrate tests into CI/CD, perform functional, integration, regression, performance and E2E testing, analyze results, report defects, and drive quality engineering best practices across teams.

Develop and maintain reliable data pipelines, ELT processes, workflow orchestration, custom data connectors, and CI/CD pipelines using Airflow, Python, PySpark, Hive/Trino, SQL, and Snowflake. Collaborate with cross-functional teams, monitor and troubleshoot data workflows, validate and test data, document technical processes, and support data governance.