QA Engineer
2 weeks ago
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.
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