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Tier-1 brand, metro locations and broad mid-senior QA skills make competition high.
Specialized AI-first QA skills are transferable across tech sectors but expect moderate domain specificity.
Mandatory 8+ years and specific GenAI, automation, and cloud skills create high shortlisting strictness.
Lead quality engineering initiatives to improve software development and testing processes within Technology Consulting.
Manage and mentor teams to deliver quality outcomes, ensuring project planning, budgeting, execution, and completion.
Analyze system components and drive continuous improvement and innovation, leveraging AI tools to optimize performance and user experience.
Bachelor's degree mandatory.
Minimum 8 years of relevant experience required.
Proficient in English, both oral and written.
Hands-on experience with at least two AI/GenAI tools (e.g., GitHub CoPilot, ChatGPT) for software testing is required.
Experienced in AI accelerator/agent orchestration and applying AI tools for test automation and defect analysis.
Skilled in programming languages such as TypeScript/JavaScript, Java, or Python and familiar with cloud platforms (AWS, Azure, GCP).
Strong background in Quality Assurance Engineering with strategic planning and client project execution experience, including mentoring capabilities.