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Mid-level SDET title, metro Bangalore location, and broad tooling requirements increase applicant competition.
Core SDET skills are transferable across industries, though AI-testing specialization increases specificity.
Explicit 5–7 years plus mandatory SDET tooling and AI-testing skills enforce strict filters.
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Lead integration of AI/ML-powered tools to enhance test design, execution, maintenance, and defect analysis within quality engineering.
Own test automation frameworks and tools for Web, Desktop, and Mobile platforms, leveraging AI techniques like self-healing automation and AI-driven visual testing.
Perform functional, regression, integration, and performance testing supported by AI-driven test selection and prioritization, and actively participate in CI/CD pipeline troubleshooting using AI-based observability tools.
Bachelor's degree in Computer Science, Computer Engineering, or related field.
5-7 years of experience in SDET or quality engineering roles including exposure to AI-assisted testing or tooling.
Proficient in Java, Python, and/or JavaScript/TypeScript; hands-on experience with Playwright and Selenium for UI and API testing.
Experience with AI-powered testing tools (e.g., GitHub Copilot, Claude) and familiarity with LLMs/AI assistants (ChatGPT, Copilot) for test authoring and defect analysis.
Experienced in applying AI/ML concepts strategically to elevate software testing practices and quality engineering processes.
Able to critically evaluate and refine AI-generated test cases and automation outcomes, demonstrating technical ownership and problem-solving in complex scenarios.
Comfortable working collaboratively across product, development, and QA teams to embed intelligent automation, maintain CI/CD stability, and drive continuous quality improvements.