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).