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)
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