Top Tech Jobs & Startup Jobs in Chennai

Design, develop, and execute performance tests (UI, Batch, API) using JMeter/LoadRunner; analyze metrics with Dynatrace, Grafana, Splunk; tune databases (MongoDB, Oracle, SQL); test distributed systems (Kafka, Azure Event Hubs); collaborate with dev teams to identify bottlenecks and implement performance improvements.

Own and manage feature, O&M, and defect backlogs; translate business requirements into user stories and acceptance criteria; lead discovery, grooming, and design review meetings; coordinate with engineering, technical writers, and customers to drive sprint execution and deliver customer-sponsored initiatives; document process flows, prototypes, release notes, and help guides; act as SME for internal and customer queries, testing, and training knowledge transfer.

Support product and delivery teams by defining features, user stories, and acceptance criteria; manage backlogs in Rally; lead discovery, grooming, PI planning and design reviews; coordinate cross-functional teams for production issues, regulatory readiness, and EPS O&M; produce release documentation and act as SME for pharmacy-related product functionality.

Lead research and engineering of cutting-edge AI models, fine-tune LLMs, design agentic systems, prototype novel algorithms, optimize training pipelines, benchmark and deploy scalable RAG-powered solutions, ensure ethical AI practices, and mentor junior researchers while integrating AI into production products.

Lead and mentor a software engineering team delivering cloud-native platforms using .NET, React, and Python. Drive architecture, design, CI/CD automation, technical debt reduction, stakeholder prioritization, and roadmap planning while ensuring maintainable, testable, and performant solutions.

Lead research and development in AI/ML, design scalable pipelines, implement models, and collaborate with cross-functional teams for optimal solutions.

Design, prototype, and benchmark advanced AI/ML algorithms and agentic systems; optimize large-scale training pipelines; integrate generative AI, RAG, and Azure OpenAI solutions into production; collaborate with cross-functional teams; ensure ethical, interpretable, and robust model deployment.

Senior DevOps-focused software engineer responsible for designing, developing, and delivering cloud-native applications. Build and maintain AWS infrastructure with Terraform, create CI/CD pipelines using GitHub Actions, containerize apps with Docker, and write Python and Shell automation and tests. Collaborate across distributed teams and drive operational excellence and continuous improvement.

Design, implement and maintain complex software components and data architectures. Mentor engineers, lead code reviews, automate testing/deployment, choose refactors to reduce tech debt, collaborate with stakeholders to prioritize and define platform roadmaps, and apply cloud-native DevOps and AI/ML tools.

Lead and operate enterprise-scale cloud infrastructure and SaaS/PaaS production systems. Manage Kubernetes workloads, implement SRE best practices (Terraform, CI/CD, observability, incident response), automate with Python/JavaScript/Go, apply cloud security measures, and leverage AI-Ops tools for operations and analysis.