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QA DevOps

Job Description - 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




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