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
