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Metro location and senior title increase applicant competition, but niche SDET leadership reduces it.
Core SDET skills transfer broadly, but cybersecurity and AI-first expectations moderately limit cross-industry fit.
Explicit 10+ years, leadership and many mandatory technical skills make filters strict.
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Provide technical leadership and mentorship for Quality Engineering on large projects and product initiatives.
Lead continuous improvement of quality engineering practices through AI-enabled automation, tooling, and process enhancements across UI, API, services, cloud, and integrations.
Develop automated test plans integrating AI-assisted tools with CI/CD pipelines to ensure fast, reliable feedback and high release confidence.
10+ years experience as Software Development Engineer in Test or related role.
6+ years significant test automation experience covering front-end (UI) and back-end (REST API, services) with proficiency in Java or similar OO language.
Engineering or Computer Science degree or equivalent experience.
4+ years experience as a technical leader of test projects and teams; advanced knowledge of CI/CD pipelines, cloud testing (AWS preferred), and AI-enabled engineering tools.
Expertise in full-stack test automation including UI frameworks (Cypress, Protractor, Selenium), API validation, and test design patterns.
Strong focus on integrating AI practically into testing workflows to improve productivity, coverage, and quality without compromising security or engineering discipline.
Experienced in leading cross-functional teams in agile environments with advanced skills in defect analysis, observability, production readiness testing, and quality metrics.