Top Tech Jobs & Startup Jobs in Chennai

Mid-level full-stack engineer responsible for designing, building, and maintaining .NET/C# and Java (Spring Boot) services and WPF applications, integrating with SQL databases and Azure (Blob, AKS), using AI tools to accelerate development, and ensuring code quality, testing, and security across UI, backend, database, and cloud layers.

Lead end-to-end delivery of enterprise data delivery platforms, driving modernization with Java/Spring Boot microservices on Azure. Oversee DevSecOps, CI/CD, observability, GenAI integrations, roadmap execution, stakeholder coordination, and mentor large distributed engineering teams to meet SLAs and delivery KPIs.

Design, develop, test, and deploy backend services using Java and Spring Boot. Build REST APIs, work with relational databases, implement logging/monitoring, participate in code reviews and agile ceremonies, troubleshoot issues, and collaborate via GitHub and CI/CD.

Develop scalable, cloud-native backend applications using Python and FastAPI; build and integrate LLM/GenAI solutions (RAG, prompt engineering, agents); ensure quality via testing, CI/CD, observability; collaborate with cross-functional teams and mentor junior engineers throughout the SDLC.

Design, implement, and maintain cloud-native, low-latency microservices using Java and Spring Boot. Optimize performance and scalability, integrate event streaming and REST APIs, deploy with Docker/Azure, enhance CI/CD pipelines, build observability, enforce secure coding, and provide technical leadership across the SDLC.

Develop and maintain cloud-native, low-latency Java (17+) Spring Boot microservices. Design RESTful APIs, ensure observability, implement CI/CD, mentor junior engineers, and support production reliability and performance.

Develop scalable, low-latency cloud-native backend applications using Python and FastAPI; integrate REST APIs, microservices, and MQ; implement unit tests, CI/CD pipelines, observability tooling, participate in full SDLC, and mentor teammates.

Design and maintain scalable platforms for engineering teams, ensuring deployment and operation through CI/CD, while collaborating across departments to optimize performance.

Lead transformational change in enterprise architecture, focusing on data and product architecture to enhance business outcomes and operational efficiency.

Develop and apply machine learning innovations, assess applicability of results, collaborate on ML solutions, and communicate findings effectively.