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Metro location and senior technical SDET role increase competition, but role is moderately specialized.
QA and automation skills transfer across industries, but AI/ML testing and enterprise SaaS focus raise sensitivity.
Explicit 7+ years, deep automation, AI testing and CI/CD requirements create strict shortlisting filters.
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Lead QA strategy and roadmap for AI and SaaS platforms focusing on automation, coverage, and release quality.
Design and implement scalable automation frameworks for API, UI, and data validation testing including AI/ML workflows and model integration.
Lead performance, security, and regression testing to ensure reliability and maintain end-to-end coverage across microservices, APIs, mobile, and web in multi-tenant cloud environments.
Bachelor’s degree in Computer Science or Engineering.
7–10+ years of experience in Software Quality Assurance with significant automation experience.
Expertise in at least one programming language such as Java, Python, JavaScript, or TypeScript.
Experience building and deploying AI testing strategies for foundation models and Generative AI frameworks.
Experienced in complex distributed system testing and designing comprehensive test strategies for end-to-end, performance, and reliability.
Familiar with CI/CD workflows, microservices architectures, and Agile/SAFe environments.
Skilled in collaborating with Data Science and Engineering teams to validate AI/ML workflows within production environments.