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Remote senior QE leadership role with moderate brand and niche senior requirements attracts experienced applicants.
Requires deep SDET and quality-engineering leadership, making background highly domain-sensitive and less transferable outside software QE.
Explicit 15+ years, director leadership, specific automation, cloud, and AI-testing mandates increase shortlisting rigidity.
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Own and define the end-to-end quality engineering vision, strategy, and roadmap across multiple product lines or business units.
Lead the organization's AI adoption strategy in quality engineering to enhance test coverage, productivity, and defect prediction using AI/ML-based testing tools.
Provide strategic quality and productivity updates to executive leadership while mentoring SDET managers and leads to build leadership in quality engineering.
15+ years in software testing/quality engineering, including 5+ years in a Director or senior engineering leadership role.
Deep expertise in test automation frameworks (Selenium, Playwright, RestAssured) and programming languages (Java, Python, JavaScript/TypeScript).
Strong understanding and hands-on experience with CI/CD pipelines (Jenkins, GitHub Actions, Harness CI/CD), containerization (Docker/Kubernetes), and cloud platforms (AWS, Azure, GCP).
Experience building AI/ML-based testing tools that improve test coverage and productivity.
Proven leader capable of executing strategic quality vision and managing complex testing architectures including microservices, distributed systems, and mobile platforms.
Experience in non-functional testing domains such as performance, security, reliability, and continuous delivery within fast-paced, rapid release environments.
Strong stakeholder management skills across Engineering, Product, DevOps, and business teams with a data-driven approach to quality metrics reporting.