Quality Assurance Automated Test Engineer

Description :

Youll work on a complex, infrastructure-heavy platform, combining automation expertise (Python + Playwright) with hands-on debugging, exploratory testing, and root cause analysis.

Key Responsibilities:

- Design and build scalable test automation frameworks using Python (pytest) and Playwright.

- Develop and execute end-to-end, integration, and regression test suites across UI and APIs.

- Define and drive test coverage strategies for critical platform components.

- Perform exploratory testing to uncover edge cases and failure scenarios beyond scripted tests.

- Investigate issues using Linux CLI - analyze logs, debug processes, and trace system behavior.

- Debug containerized environments (Docker, Kubernetes) - inspect workloads, networking, and resource utilization.

- Diagnose issues across distributed systems, VMs, and infrastructure layers.

- Conduct bug triage and root cause analysis with engineering teams.

- Integrate automated tests into CI/CD pipelines ensuring reliability and repeatability.

- Document test strategies, findings, and defects clearly and effectively.

Requirements :

- 3 - 4 years of experience in QA with a strong focus on automation.

- Strong proficiency in Python (pytest, fixtures, parametrization, custom plugins).

- Hands-on experience with Playwright for UI and end-to-end testing.

- Strong Linux command-line expertise - log analysis, debugging, system inspection.

- Solid experience with Docker - containers, networking, volumes, and resource constraints (must-have).

- Proven ability in exploratory testing and uncovering non-obvious failure modes.

- Experience building test frameworks or harnesses from scratch.

- Familiarity with CI/CD pipelines and Git workflows.

- Strong understanding of QA methodologies, test planning, and coverage strategies.

- Excellent debugging, analytical, and problem-solving skills.

Nice to Have :

- Exposure to Kubernetes (pod lifecycle, scheduling, kubectl usage).

- Experience with KVM/QEMU or hypervisor-level debugging.

- Background in testing distributed systems or cloud-native platforms.

- Experience with performance/load testing tools.

- Familiarity with GPU-based workloads or scheduling.