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Tier-1 brand and Bengaluru location increase applicant density, but senior, specialized AI/QA requirements moderate competition.
Role requires deep QA, AI/ML testing, AEM and security expertise, making background highly domain-sensitive.
Explicit 10+ years, mandatory AI/ML and AEM experience, and principal-level technical leadership enforce high shortlisting strictness.
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Design and implement autonomous, scalable AI-augmented end-to-end QA workflows and test infrastructure to improve test coverage and defect detection across multiple services.
Own quality outcomes and lead quality strategy coordination in an Agile environment, including mentoring engineers on AI-assisted testing techniques and driving adoption of innovative testing methodologies.
Collaborate cross-functionally with Development, SRE, Product Management, and Technical Marketing to align testing efforts with business goals and enhance test automation and infrastructure based on real-world deployment feedback.
Bachelor's or Master’s degree in Engineering or equivalent military experience.
10+ years of experience in QA/Test Automation Engineering with proven impact on product quality and team practices.
2+ years of hands-on experience with AI/ML technologies, including LLMs and prompt engineering, and 2+ years testing Adobe Experience Manager or similar CMS.
Proficiency in REST API testing and automation (Python), web UI automation tools (Selenium, Playwright, Puppeteer), and cloud-native application testing; experience in Agile QA methodologies.
Senior-level engineer with deep expertise in AI-powered autonomous testing system design and implementation, able to translate AI/ML advances into practical QA innovations.
Experienced leader capable of mentoring peers on modern AI-assisted QA techniques and driving multi-team quality initiatives in fast-paced Agile environments.
Strong collaborator skilled at integrating testing strategy with business outcomes and cross-functional teams such as SRE and Product Management.