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Metro location and common SDET skills increase competition; seniority and GenAI focus moderately reduce it.
Automation and QA skills are generally transferable, but GenAI and domain specifics require some industry experience.
Explicit 8+ years, 3+ years leadership, and 5+ years automation demands enforce strict filtering.
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Lead QA and testing efforts for AI and alternate data projects, including hands-on testing and automation development.
Mentor and manage a team of 3+ QA engineers, providing technical guidance, career development, and resource allocation.
Establish and oversee test strategies, quality metrics, process improvements, and collaborate across QA, development, and product teams including coordinating release activities.
8+ years of hands-on software testing experience with at least 3 years in a QA leadership role.
Expert-level Python programming skills with 5+ years in automation development using tools such as Selenium, Cypress, Playwright.
Degree in Computer Science or related field; Master's degree considered a plus.
Experience with test automation frameworks, API and performance testing tools (e.g., locust), version control (Git), and CI/CD tools (Github Actions, Jenkins).
Experienced in QA leadership within Agile SDLC environments, able to balance technical execution and team management.
Strong background in AI-specific testing and automation strategy development.
Skilled in stakeholder communication, technical decision making, and managing QA processes for complex, high-risk projects.