Lead QualDev (SDET) Engineer-AI

AI‑Assisted Quality Engineering (SDET) Experience: 4–8 years Employment Type: Full‑time Location: Noida Sector 62 (Work from Office – 5 days a week) Role Summary We are seeking a Lead QualDev Engineer to drive AI‑assisted Quality Engineering initiatives across functional and automation testing, CI/CD, and defect prevention. This role emphasizes technical ownership, AI‑driven automation, and self‑healing test frameworks , enabling faster, more reliable software delivery in a product‑based engineering environment . Key Responsibilities Own the design, evolution, and maintenance of scalable test automation frameworks across UI, API, and integration layers Leverage AI‑assisted tools (GitHub Copilot, VS Code Copilot) to accelerate test development, refactoring, and debugging Drive functional, regression, and integration testing strategies with a strong automation‑first mindset Lead API automation initiatives and backend/data validation efforts Integrate automated test suites into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) Lead analysis of test failures, logs, and production defects , performing in‑depth root cause analysis (RCA) Apply AI‑based log analysis and failure pattern detection to identify systemic quality issues Design and implement AI‑driven self‑healing automation capabilities , including intelligent locator recovery and adaptive stabilization Drive preventive quality improvements by reducing flaky tests, recurring defects, and test maintenance overhead Define best practices, standards, and governance for AI‑enabled Quality Engineering Mentor junior engineers and promote quality ownership across cross‑functional teams Collaborate closely with Engineering, DevOps, and Product teams to embed quality throughout the SDLC Core Skills & Experience 4–8 years of hands‑on experience in Quality Engineering / SDET roles Strong experience in test automation design and framework ownership Expert‑level knowledge of UI and API automation frameworks Experience with BDD frameworks (e.g.

Cucumber) Solid experience with API testing and backend/data validation Hands‑on experience integrating automated tests into CI/CD pipelines Strong understanding of STLC, SDLC, and Agile methodologies Proven ability to lead defect analysis and preventive quality initiatives Proficiency with Git and modern version‑control practices AI & GenAI Skills Hands‑on experience using AI‑assisted development and testing tools (GitHub Copilot, VS Code Copilot) Ability to write effective prompts for AI‑assisted test and code generation Strong capability to review, validate, and secure AI‑generated outputs Understanding of AI agent concepts , including prompt‑driven execution, tool orchestration, and feedback loops Experience implementing or contributing to AI‑driven self‑healing automation Commitment to responsible and governed AI usage in the SDLC Nice‑to‑Have / Preferred Skills Programming experience in Python, Java, JavaScript, or TypeScript Experience with Selenium WebDriver and Playwright Knowledge of SQL and database testing Exposure to Docker , containerized test execution, and Linux/Unix environments Experience with cloud platforms (GCP, AWS, Azure) Knowledge of performance testing tools (JMeter, Gatling) Exposure to Kafka, Elasticsearch, Redis Product‑based company background Prior experience in IoT, Telecom, or large‑scale distributed systems Knowledge of secure coding practices , especially for AI‑generated code