QA DevOps

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