Top Tech Jobs & Startup Jobs in Chennai

Own the technical delivery of AI solutions from stakeholder engagement and conceptualization through proof of concept, productionization, and maturity. Design multi-agent, generative AI, RAG, and fine-tuned LLM solutions; develop evaluation and AgentOps practices; and apply NLP, computer vision, and predictive models. Support pre-sales, create technical artifacts, guide engineering teams, and deploy scalable solutions using microservices, containers, Kubernetes, AWS, and Azure.

Provide L2/L3 production and non-production support for Java applications and integration middleware. Monitor application health with APM tools, troubleshoot IBM MQ messaging and Autosys jobs, analyze Linux/Unix logs, and write SQL queries for troubleshooting and reporting. Perform root cause analysis, implement permanent fixes, support deployments and changes, maintain runbooks, and communicate incidents and status updates to technical and business stakeholders.

Develop, test, maintain, and support applications on the IBM i/AS400 platform. Write RPG, RPGLE, CL, and SQL programs; manage DB2/400 data; troubleshoot production issues; optimize performance; conduct code reviews; and translate business requirements into technical specifications. Collaborate with business analysts, QA, and infrastructure teams while supporting enhancements, upgrades, integrations, documentation, and coding standards.

Designs and maintains GitHub Actions CI/CD pipelines for build, testing, security scanning, and multi-environment deployment. Automates infrastructure provisioning and deployments with IaC and scripting, manages cloud and container platforms, and implements monitoring, centralized logging, security controls, and secrets management. Participates in incident response and reliability improvements while collaborating with development, QA, and infrastructure teams to promote DevOps practices, standardization, documentation, and efficient software delivery.

Develop Java applications using Vue, Spring Boot, database queries, and Copilot-assisted coding. Apply Agile practices, communicate effectively with clients, work independently, and adapt to established processes within an offshore delivery model.

Lead enterprise QA initiatives across multiple application portfolios. Define test strategies, governance, plans, quality gates, and metrics; oversee functional, integration, regression, API, mobile, web, UAT, and performance testing. Direct manual and automation teams, guide automation framework development and CI/CD integration, manage defects and risks, conduct root cause analysis, and communicate quality status to senior stakeholders. Mentor team members and drive continuous improvement, shift-left testing, and release quality.

Design, develop, test, and maintain scalable backend applications, microservices, REST and gRPC APIs using Golang and Java. Build Spring Boot services, secure authentication with JWT, Redis caching, SQL Server integrations, and Solace messaging. Create CI/CD pipelines, containerize applications with Docker, and deploy them in Kubernetes. Collaborate across teams, interpret requirements, troubleshoot issues, participate in code reviews, and optimize performance.

Designs, develops, and maintains automated test scripts and frameworks for web applications using Selenium, Playwright, Java, and Python. Executes automated and manual functional, regression, integration, and API testing; tracks defects; integrates tests with CI/CD pipelines; improves test coverage; and collaborates with developers, analysts, and QA teams in Agile/Scrum environments.

Supports product strategy, roadmap planning, feature prioritization, customer research, user-story definition, backlog management, and AI product delivery. Partners with engineering, marketing, and business stakeholders throughout the development lifecycle. Conducts market and competitive research, monitors AI trends, identifies product opportunities, and helps create documentation and go-to-market materials. The role targets recent MBA graduates interested in enterprise technology and AI-powered solutions.

Develop and integrate AI and generative AI solutions in Python, including LLM-powered applications, NLP systems, machine learning models, APIs, backend services, and semantic search using embeddings and vector databases. Fine-tune and optimize models, monitor production performance, document workflows, and collaborate with data scientists, engineers, and product teams to deliver scalable AI features.