QA DevOps

Role: QA Automation Total Experience: 6 to 12 years Location: Magarpatta City, Pune Work Model: Hybrid 3 days’ Work from Office Job Summary: We are looking for a highly skilled QA + DevOps Engineer to join our Agile team working on a modern data operations and AI-driven platform. This role demands strong expertise in API automation, Kubernetes-based application testing, and production-level troubleshooting. The ideal candidate actively participates in debugging distributed systems running on Kubernetes, ensuring product reliability, scalability, and performance. Responsibilities: - Design, develop, and maintain automated test suites using Pytest with focus on API testing - Validate microservices and distributed systems deployed on Kubernetes (K8s) - Troubleshoot and debug issues in K8s environments (pods, services, logs, networking) - Collaborate with Dev, QA, and DevOps teams to ensure end-to-end quality - Create and execute test plans, test cases, and regression strategies - Perform functional, integration, API, and system-level testing - Participate in root cause analysis (RCA) for environment and production issues - Integrate automated tests into CI/CD pipelines - Validate data pipelines and AI chatbot responses - Continuously improve QA processes and automation frameworks Required Skills: - 6–10 years of experience in QA Automation / SDET / DevOps roles - Strong experience in API automation using Pytest (Python) - Solid understanding of REST APIs, JSON, and microservices - Hands-on experience with Kubernetes (debugging, logs, deployments) - Experience with Docker and containerized applications - Experience in CI/CD tools (Jenkins, GitHub Actions, etc.) - Strong test design and automation framework experience - Experience working in Agile/Scrum environments - Strong AWS Experience around QA, Dev Deployment and debugging skills. Preferred Skills: - Experience in data pipelines or data validation - Exposure to AI/ML or chatbot testing - Familiarity with monitoring tools (Prometheus, Grafana, ELK) - Experience with Helm and K8s deployments - Performance and scalability testing knowledge