Top Tech Jobs & Startup Jobs in Chennai

Provide production support and maintain stability of MVS mainframe environments. Troubleshoot overnight batch jobs, perform root cause analysis for incidents, analyze complex mainframe programs, improve batch performance for SLA adherence, and collaborate with global cross-functional teams and business stakeholders.

Senior/principal software engineer responsible for designing and developing Oracle PL/SQL stored procedures, SnapLogic integration pipelines, SQL performance tuning, AWS-based deployments, code reviews, release planning, and ensuring performance, scalability, resiliency, and security across data solutions.

Design, develop, and maintain automated validation suites across web, mainframe, API, desktop, file-based, and email workflows. Build and enhance automation frameworks using Java, Python, JavaScript and tools like Selenium, Playwright, Cypress, REST Assured. Integrate LLM/GenAI capabilities for test generation, failure analysis, and automated data creation. Validate core banking and payments flows and collaborate in Agile/Scrum teams to drive test architecture and quality.

Facilitate discovery sprints, refine discovery backlogs, coordinate cross-team activities, and transition teams into delivery. Serve as Scrum Master for Agile delivery teams, run ceremonies, remove impediments, track metrics in JIRA/Confluence, support UAT and release planning, and escalate and resolve cross-functional risks.

Build and maintain end-to-end UI and API test automation; create test plans and test cases; manage defects; collaborate with API development; apply DB/ICEDQ validation; work in financial/brokerage domain. Strong communication and initiative required.

Lead and manage QA team across manual, automated, and non-functional testing. Design and maintain automation frameworks, run performance and security tests, integrate tests into CI/CD, track defects and quality KPIs, and mentor junior engineers.

Lead AI strategy and implement GenAI, agentic AI, and automation to modernize legacy systems, integrate AI into engineering lifecycle, and build production-grade, scalable AI solutions with cloud, containerization, MLOps, and data pipeline best practices.

Lead and produce high-quality, maintainable code across the full development lifecycle. Design and build microservices and high-throughput, low-latency systems, modernize legacy systems, implement CI/CD and cloud infrastructure (preferably Azure), mentor teams, and drive architecture, automation, and best engineering practices.

Provide application support for cloud-hosted systems including log analysis, file transfer, incident management, CI/CD automation, and scripting. Use AWS, Kubernetes, Datadog, CI/CD tools, SQL and shell/Perl/Python to troubleshoot, automate, and maintain deployments. Collaborate with teams, follow ITIL processes, and support delivery in a fast-paced environment.

Design, develop, and deploy blockchain-based solutions for asset management/financial services. Build Java/J2EE applications on AWS, implement blockchain data access via APIs, streaming/messaging, authentication, CI/CD pipelines, and automated testing (Karate). Use ALM tools (JIRA, Confluence, Jenkins, Git). Collaborate with global stakeholders on green-field engineering projects and follow engineering practices.