Top Backend Jobs in Chennai

Design, develop, and maintain Java-based backend services using Spring frameworks and Kafka. Build scalable RESTful APIs, work with MySQL/MongoDB, containerize with Docker, deploy on Kubernetes, and follow CI/CD and Agile practices while collaborating in a team.

Design, build, and maintain Java backend microservices using Spring Boot and JPA. Optimize SQL/PostgreSQL queries and stored procedures. Implement CI/CD pipelines, write unit/integration tests, and collaborate in English-speaking agile teams.

Design, implement, and maintain scalable Java backend services and APIs using Spring Boot. Collaborate with cross-functional teams, optimize performance, ensure security, integrate third-party services, write testable code, and maintain documentation.

Design, develop, and maintain server-side logic, databases, and RESTful APIs/microservices. Collaborate with front-end and product teams, ensure security, perform code reviews, troubleshoot issues, and participate across the software development lifecycle.

Design, configure, and support backend software and APIs; manage configuration files and environments; test and document API endpoints; collaborate on system data flow; participate in large-scale live data migrations (billions of records) into FinCloud; produce documentation and troubleshooting guides; work in agile teams and support integration and observability efforts.

Design, build, and maintain scalable Java Spring Boot microservices on GCP; develop RESTful APIs, implement CI/CD, optimize performance, ensure security, monitor production, and collaborate with cross-functional teams.

Design, build, and maintain backend services using Java and Spring Boot. Implement and consume APIs and microservices, work with Kafka for messaging, collaborate with front-end teams, and use Docker/Kubernetes for deployment. Work with RDBMS and NoSQL databases in an Agile environment.

Senior QA Automation Engineer responsible for designing, building, and maintaining Rust/Java-based automated test frameworks. Participate across the SDLC to create test plans, execute black-/white-box, security, performance, and mobile testing, diagnose root causes, and improve testing processes. Collaborate with engineers, PMs, designers, and operations to ensure system reliability across web, desktop, and mobile platforms. Apply AI models in testing where applicable and coordinate with global stakeholders in English and Mandarin.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

The role requires experienced QA testing on API, web, and mobile applications, including creating test scripts and managing defects.

The Senior Backend Engineer will design and implement scalable backend systems, manage microservices architecture, databases, and CI/CD pipelines, while mentoring junior engineers.

Design, develop, and maintain scalable backend applications and RESTful APIs using Python or Scala. Build microservices, optimize performance and reliability, troubleshoot production issues, write well-tested code, participate in code reviews, and collaborate with cross-functional teams.

Design, develop, and maintain scalable backend services using Python and FastAPI. Build secure RESTful APIs, WebSockets/gRPC, and microservices; design and optimize databases; implement authentication and secure coding; write tests; collaborate with cross-functional teams; and support deployment, monitoring, and production troubleshooting.

Administer, monitor, and support Java applications and Genesys Cloud. Provide production troubleshooting, minor bug fixes and enhancements, and act as primary POC for Java apps. Develop/support microservices using Java and Spring Boot, perform analysis of system behavior, and apply problem-solving and diagnostics to maintain service quality.

Develop and maintain back-end web applications, ensuring efficient integration with front-end systems, optimizing performance, and collaborating with QA for testing.

Design, build, and maintain scalable backend services and APIs; optimize performance and data pipelines; architect and manage AWS infrastructure; document systems; ensure code quality through reviews; deploy containerized microservices and implement infrastructure-as-code and monitoring/alerting for production systems.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Design, build, and maintain backend systems for card issuing and lifecycle management. Lead technical design for card certification and onboarding (Visa, MasterCard, Apple/Google Pay), ensure scalability, reliability, and compliance, define service boundaries and integrations, and implement high-throughput payment infrastructure while collaborating with product, compliance, and engineering teams.

Build and maintain high-throughput distributed KYC services: translate business requirements into reliable services, write tests and docs, perform performance tuning and incident troubleshooting, collaborate across teams, and mentor junior engineers while following engineering best practices.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design, build, and scale cloud-native Python backend services and data-backed applications. Develop RESTful APIs, microservices, and asynchronous event-driven systems. Deploy and operate production workloads on Kubernetes and at least one public cloud (AWS or Azure). Work with cloud data warehouses (Snowflake or Databricks) and relational databases, ensuring scalable, reliable distributed systems.

Build and maintain scalable backend services for an AI legal product: fine-tune LLMs, create data processing and document/OCR pipelines, integrate LLMs, and manage infrastructure with Terraform/OpenTofu and Docker.

Design, build, and maintain scalable backend services and microservices using Go and Python; develop REST/gRPC APIs; integrate databases and cloud services; write tests, perform code reviews, debug production issues, and collaborate cross-functionally.

The Backend Engineer will implement new SDK and Indexer features, automate testing, support integration, and oversee production releases.