5–7 yrsBengaluruOn-siteDirect career pageEst. 18–28 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead integration of AI/ML-powered tools to enhance test design, execution, and defect analysis, including leveraging large language models for test case generation.
- Develop, maintain, and evolve AI-augmented test automation frameworks across Web, Desktop, and Mobile platforms, ensuring resilience and reduced flakiness.
- Drive AI-supported root cause analysis and pipeline stability improvements, while championing quality by collaborating across teams and owning AI tool adoption and documentation.
Minimum Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or related field.
- 5–7 years of experience in SDET or quality engineering roles with practical exposure to AI-assisted testing or tooling.
- Proficiency in Java, Python and/or JavaScript/TypeScript; experience with Playwright or Selenium for UI and API testing.
- Hands-on experience with AI-powered testing tools (e.g., GitHub Copilot, Claude) and familiarity with LLMs or AI assistants for test authoring and defect analysis.
Ideal Candidate Profile
- Experienced in managing AI-augmented test automation frameworks and integrating AI/ML innovations into quality engineering processes.
- Skilled in applying risk-based and AI-assisted testing approaches in fast-paced Agile environments with CI/CD pipelines.
- Proven ability to critically evaluate and improve both AI-generated and handwritten automation scripts while collaborating cross-functionally as a quality advocate.