Job Description

Roles & Responsibilities

About the Role

EY'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

Desired Candidate Profile

• 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)