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Mid-level popular QA title, metro location, and broad automation/backend requirements increase candidate competition.
Automation and backend testing skills are transferable but ClickHouse, GenAI, and multi-tenancy increase domain sensitivity.
Explicit 3–5 year requirement plus mandatory Python, pytest, SQL, CI/CD, and backend testing make filters strict.
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Own end-to-end quality assurance for front-end and Python backend systems across multiple enterprise tenants, including test planning, execution, and regression coverage.
Review and manage AI-assisted test suite generation and triage production issues to root cause.
Develop and maintain QA tools and frameworks integrated with CI/CD pipelines, collaborating closely with engineering and product teams to define test strategies.
3 to 5 years of relevant QA engineering experience.
Strong proficiency in SQL including PostgreSQL and an analytical database like ClickHouse.
Proficiency in Python with pytest for automated testing and experience in API/backend testing (auth, multi-tenancy, error handling).
Experience with CI/CD tools such as GitHub Actions and ability to analyze code and stack traces to identify failure causes.
Experienced with AI-assisted quality engineering using GenAI tools (Claude, ChatGPT, Copilot, Cursor) and critical evaluation of AI-generated tests and root cause analyses.
Comfortable owning test planning and regression coverage for complex enterprise-grade software products with multi-tenancy and backend/front-end components.
Has experience working in early-stage, high-growth product environments with direct collaboration with founders and rapid scaling of responsibilities.