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Tier-1 brand, metro location, common QA manager title, and broad technical requirements increase candidate competition.
Strong automation and AI QA skills are transferable, but Adobe AEM and regulated finance context increase domain specificity.
Explicit 12+ years, leadership expectation, and mandated automation, AI tools, languages, and cloud skills create strict filters.
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Lead and own AI-driven Quality Engineering strategy, focusing on automation and continuous testing across Agile web projects using technologies like Selenium, Playwright, and AI tools.
Hands-on contribution to automation framework design, test engineering, production issue investigation, and embedding quality throughout the SDLC with risk-based testing and quality gates in CI/CD pipelines.
Build and mentor QA teams, define and monitor quality metrics, drive innovation in testing including intelligent test generation and AI-assisted defect analysis, and partner with cross-functional teams to ensure production stability.
12+ years in Test Automation and Quality Engineering with at least 2 years in QA leadership roles.
Strong proficiency in Selenium WebDriver, Playwright, Java, Python, TypeScript, and AI testing tools like Microsoft Copilot, GitHub Copilot, ChatGPT Enterprise, or equivalent.
Demonstrated experience with Agile, DevOps, CI/CD, API testing (Postman, SoapUI, REST), Linux/UNIX scripting, AWS cloud environments, and cloud test platforms like BrowserStack.
Bachelor’s degree in Engineering or Master’s in Computer Science/IT/Electronics or related field.
Experienced leader capable of hands-on technical leadership and driving AI-enabled quality transformations in web-based digital product environments.
Strategic thinker skilled in implementing and evolving modern Quality Engineering practices with strong capabilities in automation frameworks and continuous testing within Agile/DevOps contexts.
Proven ability to influence cross-geography distributed teams and stakeholders while embedding quality ownership and production safeguards in complex software delivery pipelines.