About The RoleEY's AI Hub is looking for an experienced Automation QA Engineer to ensure the quality, reliability, and performance of our applications, including AI-powered products built on modern web stacks. You'll design and maintain automated test suites for applications built with Next.js and Python, with a strong focus on cross-browser testing and CI/CD integration.
What You'll Do
- * Design, build, and maintain automated test frameworks and suites for web applications (Next.js frontend, Python backend/services)
- Develop and execute cross-browser automated test scripts to ensure consistent functionality across Chrome, Firefox, Safari, and Edge
- Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar) to enable continuous testing and fast feedback loops
- Collaborate with developers, product managers, and other QA engineers to define test strategies and acceptance criteria
- Identify, document, and track bugs through to resolution, working closely with engineering teams Perform functional, regression, integration, and end-to-end testing
- Continuously improve test coverage, automation efficiency, and overall QA processes
- Contribute to test planning for AI-driven features and help define quality benchmarks for AI model outputs where applicable
- Monitor and maintain test environments and test data
What We're Looking For
- * 4–8 years of experience in automation QA / SDET roles
- Strong hands-on experience testing web applications, ideally with Next.js/React-based frontends Proficiency in Python for writing test automation scripts and frameworks
- Solid experience with cross-browser testing tools and strategies
- Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar) Strong understanding of QA methodologies: functional, regression, integration, and end-to-end testing
- Familiarity with version control systems (Git)
- Strong analytical and debugging skills, with attention to detail
- Good communication skills and ability to work closely with cross-functional teams
Nice to Have
- * Experience working on AI/ML-powered projects or products (e.g., testing AI model outputs, chatbots, LLM-based features)
- Familiarity with API testing tools (Postman, REST Assured, etc.)
- Experience with performance or load testing
- Exposure to cloud platforms (AWS, Azure, or GCP)
Why Join UsBe part of EY's AI Hub, working on cutting-edge AI-driven projects alongside a collaborative, innovation-focused team, with the opportunity to shape quality practices for next-generation applications.
