Quality Analyst Engineer

• Design, build, and maintain automation frameworks for UI, API, data, and microservices testing.
• Leverage AI-driven techniques for test generation, defect detection, and regression selection.
• Develop and track observability-based quality metrics and CI/CD quality gates.
• Validate AI/ML-powered features and collaborate to ensure safe and correct model behaviour.
• Define and implement end-to-end quality strategies across key platform components.
• Partner with engineering, product, and SRE teams to ensure strong SDLC testability and guardrails.
• Lead and mentor a quality engineering team, fostering AI-assisted engineering practices.
• Drive technical excellence through standards, code reviews, and continuous skill development.

What you will need:

• 7+ years of direct experience in software quality engineering, including automation architecture and framework development.
• Strong hands‑on expertise with modern automation tools (Playwright, Selenium, JUnit/TestNG, Postman et al).
• Proven experience validating AI‑enabled features — LLMs, anomaly detection, model‑driven logic, or generative workflows.
• Deep knowledge of testing for distributed systems, microservices, data pipelines, and cloud environments (AWS preferred).
• Solid experience integrating automation into CI/CD pipelines.
• Strong debugging, problem‑solving, and analytical skills across frontend, backend, and data layers.
  • Excellent communication, collaboration, and cross‑team influence skills in a fast‑paced engineering organization.