Senior QA Engineer

Responsibilities:
Own end-to-end quality across our front-end and Python backend (FastAPI, PostgreSQL, ClickHouse), serving multiple enterprise tenants.
Create and manage test plans, test cases, and regression coverage for new features and releases.
Review and steer AI-generated test suites, separating tests that catch real bugs from tests that just pass.
Triage production issues and drive them to root cause.
Develop and maintain QA tools and frameworks that support our automated testing pipeline.
Run exploratory, usability, and manual testing where automation isn't the right tool.
Collaborate with engineering and product to define test strategy across the development lifecycle.
Requirements:
Strong SQL PostgreSQL plus an analytical database (ClickHouse or similar).
Experience with Python, with pytest writing, reviewing, and debugging automated tests.
Proficiency in API and backend testing depth: auth, multi-tenancy, error paths, not just happy-path 200s.
End-to-end testing experience across front-end and back-end.
Test plan, test case, and regression coverage ownership.
AI-assisted quality engineering using GenAI tools (Claude, ChatGPT, Copilot, Cursor) for test design and generation, and critically reviewing AI-generated tests and root-cause analyses.
Experience with CI/CD integration with GitHub Actions or similar.
Ability to read code and stack traces and trace a failure to its root cause.
Clear, evidence-based bug reports and strong communication; self-motivated and able to work independently.
Good to have:
Data pipeline and data testing understanding (dbt, warehouse concepts).
Snowflake or Databricks domain exposure; cost/performance optimisation is our core domain.
Experience evaluating LLM output (evals, golden datasets, quality rubrics).
Strong exploratory and usability testing craft.
Load testing (Locust/k6) or security testing exposure.
Front-end automation frameworks (Playwright, Cypress).

Experience
3-5 yrs