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Senior QA title but niche AI-augmented and 7+ years requirement limits applicant volume.
Core QA automation skills transfer broadly, but AI-augmented testing and predictive QA increase domain specificity.
Explicit 7+ years plus mandatory automation, programming, CI/CD, and AI-QA skills tightens filters significantly.
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Own the full QA lifecycle including functional, regression, performance, and security testing with AI-augmented strategies.
Design, maintain, and optimize test automation frameworks using tools like Selenium, Cypress, and Playwright, integrating AI tools for test generation and defect prediction.
Collaborate with DevOps and product teams to embed QA into CI/CD pipelines and mentor junior QA staff in AI-enabled testing practices.
7+ years of hands-on QA experience in manual and automation testing.
Proficiency in at least one programming language: Python, Java, JavaScript, or TypeScript.
Experience using AI/ML tools for QA tasks such as test case generation and log analysis.
Hands-on knowledge of test automation frameworks (Selenium, Cypress, Playwright) and cloud-based QA services (BrowserStack, SauceLabs).
Experienced in blending traditional QA methods with AI-augmented testing to improve efficiency multiplying test coverage and quality.
Skilled in integrating QA automation into CI/CD pipelines and collaborating cross-functionally with product and development teams.
Capable of designing predictive QA practices and mentoring teams on AI-enhanced testing approaches in fast-paced, innovative tech environments.