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5.0 - 8.0 years

18 - 33 Lacs

bengaluru

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Position: QA Engineer Experience: 5 8 Years Location: Only local candidates i.e., Bangalore is preferrable for all the positions About the Role We are seeking a QA Engineer with strong expertise in automation testing and hands-on experience using AI-powered tools and LLM models . The ideal candidate will be proficient in designing, executing, and maintaining test automation frameworks while leveraging modern tools like GitHub Copilot, Curse.AI, and AI-driven QA practices to enhance productivity and accuracy. This role requires a detail-oriented professional with a strong foundation in Python, Selenium, Playwright, and CI/CD pipelines , ensuring robust and scalable testing solutions across applications. Key Responsibilities Design, develop, and maintain automation test scripts using Python, Selenium, and Playwright. Integrate and optimize automation testing within CI/CD pipelines . Leverage LLM models, GitHub Copilot, Curse.AI, and other AI-powered tools to accelerate test case creation, debugging, and defect prediction. Ensure high-quality test coverage for functional, regression, and performance testing. Collaborate with developers, product managers, and DevOps teams to deliver high-quality releases. Analyze test results, identify bugs, and ensure timely resolutions. Continuously evaluate and adopt AI-driven QA innovations to improve efficiency. Mandatory Skills Strong proficiency in Python for scripting and automation. Hands-on experience with Selenium and Playwright for web automation testing. Practical knowledge of CI/CD pipelines (Jenkins, GitHub Actions, or similar). Exposure to LLM models and AI-powered QA tools such as GitHub Copilot, Curse.AI, etc. Solid understanding of automation testing frameworks and QA methodologies. Experience with Git/GitHub for version control and collaboration. Qualifications Bachelors/Masters degree in Computer Science, Engineering, or related field. 5–8 years of experience in QA automation engineering , with proven expertise in Python-based automation. Strong problem-solving skills, attention to detail, and a quality-first mindset. Experience in AI/ML-based testing or AI-augmented QA workflows is a strong plus.

Posted 9 hours ago

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