Senior Quality Assurance Engineer - Python/Automation Testing

About the Role :

- Design, develop, and maintain automated test cases and test suites using Python, PyTest, and relevant automation libraries.

- Extend existing testing frameworks with PyTest plugins to improve reusability, reporting, and maintainability.

- Execute functional, integration, regression, and performance test scenarios across block, file, and object storage systems.

- Perform in-depth debugging and root cause analysis for complex issues and regressions.

- Analyze test failures, file detailed bug reports, and work closely with developers on issue resolution and verification.

- Develop and maintain test plans, test data, and test environments aligned with release cycles and quality gates.

- Collaborate with developers, DevOps engineers, product managers, and other QA team members to define and refine acceptance criteria.

- Contribute to continuous improvement in automation frameworks, pipelines, and testing processes.

- Participate in code reviews, design discussions, and sprint activities to represent the quality perspective.

- Monitor and ensure test coverage, and track quality metrics to report progress and risks.

Required Qualifications :

Technical Skills :

- Expert-level proficiency in Python and strong hands-on experience with the PyTest framework.

- Proven experience in developing and maintaining PyTest plugins or custom extensions.

- Deep understanding of storage technologies including block, file, and object storage (e.g., iSCSI, NFS, S3 protocols).

- Familiarity with tools like Postman, Curl, Fio, or storage benchmarking tools is a plus.

- Experience in validating performance and scalability of large-scale distributed systems is highly desirable.

- Exposure to CI/CD tools like Jenkins, GitLab CI, or similar, and version control using Git.

- Basic knowledge of Linux/Unix environments and command-line tools is expected.

- Familiarity with Docker, Kubernetes, or other containerization tools is a plus