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Mid-level metro QA role with common automation skills but niche AI/LLM testing reduces candidate density.
Core QA automation skills transfer across industries, but specialized AI/LLM testing increases domain specificity.
Explicit 5–8 years requirement plus mandatory automation, CI/CD, and AI/LLM testing skills make filtering strict.
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Maintain and improve automated test coverage for a global advertising QA platform across frontend and backend.
Develop, run, and report on AI-focused and E2E automated tests, including Google Vertex AI / Gemini integration and LLM output validation.
Collaborate daily with three engineering squads embedding quality in feature development and contribute to test strategy and CI/CD pipelines.
5+ years of experience in QA automation or software engineering with a testing focus.
Experience with Google Vertex AI / Gemini integration testing and LLM output validation.
Familiarity with at least one E2E/Browser Automation framework (e.g., Cypress, Playwright, Selenium) and one Unit testing framework (xUnit, Jest, NUnit).
Proficiency in at least one programming language such as JavaScript/TypeScript, C#, or Python.
Experienced in technical automation roles within agile, cloud-first engineering environments, preferably working closely alongside development teams.
Skilled in designing and maintaining stable automated test suites with a focus on AI and behavioral model testing.
Comfortable contributing to and influencing testing strategy, tooling, and CI/CD test pipeline improvements across multiple engineering squads.