We are looking for a QA Engineer with 5 to 8 years of experience, who brings strong expertise in both manual and automated testing, with the ability to leverage AI-powered testing tools and methodologies to enhance quality, efficiency, and coverage. The ideal candidate is proactive, detail-oriented, and passionate about continuous learning and improvement in the QA discipline. You will play a key role in ensuring software reliability across functional, regression, and performance dimensions, while adopting modern AI-based testing practices to accelerate our release cycles.Key Responsibilities

• Design, develop, and maintain AI-augmented test automation frameworks using the latest tools and techniques.

• Conduct manual functional testing for new features, enhancements, and bug fixes to ensure end-to-end system validation.

• Utilize AI-driven testing platforms for test generation, defect prediction, and intelligent regression analysis.

• Create, execute, and maintain automated test scripts for web, API, and backend services.

• Define, plan, and execute various QA cycles such as smoke testing, regression testing, integration testing, and UAT.

• Collaborate closely with development and DevOps teams to integrate QA automation within CI/CD pipelines.

• Continuously improve test coverage, test efficiency, and reporting accuracy.

• Document test cases, track defects, and ensure timely resolution through effective communication with cross-functional teams.

• Stay updated with emerging AI and automation technologies to continuously evolve QA strategy and toolsets.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.

• 5-8 years of professional experience in QA and test automation.

• Proficiency in manual testing methodologies and QA lifecycle management.

• Hands-on experience with automation frameworks (Selenium, Playwright, Cypress, or similar).

• Familiarity with AI-based testing tools (e.g., Testim, Mabl, Functionize, Browser-Use or LLM-based test generation tools like ChatGPT/OpenAI).

• Strong understanding of smoke, regression, sanity, performance, and UAT best practices.

• Experience with API testing tools (Postman, Newman) and CI/CD integration (Jenkins, GitHub Actions, Azure DevOps).

• Good understanding of test design techniques and defect management systems (JIRA, TestRail, Azure DevOps).

• Excellent communication and collaboration skills.

• Self-motivated, quick learner, and adaptable to changing priorities or environments.