EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are building an AI-native quality practice and need a Chief Automation Tester in Python to shape production-ready test automation at scale. You will steer QA automation and CI/CD integration, use AI-powered engineering tools to boost delivery quality, and help teams adopt modern AI-assisted practices—apply now. Responsibilities Design, maintain, and support QA automation solutions and testing workflows across the software delivery lifecycle Leverage AI-powered engineering tools to increase productivity, testing efficiency, and delivery quality Participate in production support activities, including troubleshooting and issue resolution when required Partner with cross-functional engineering teams to ensure software quality and reliability Enhance CI/CD pipelines and support automated testing integration within delivery workflows Champion adoption of modern AI-assisted engineering practices across teams Navigate ambiguous or evolving environments by identifying gaps early and proposing practical solutions Drive continuous improvement initiatives across QA processes, automation, and engineering excellence Communicate clearly with technical and non-technical stakeholders while fostering a positive, collaborative working environment Requirements Proven track record of 7+ years of hands-on experience in QA automation, software testing, or support engineering Solid background in delivering software into production environments with an understanding of the full SDLC lifecycle Strong knowledge of QA fundamentals, testing strategies, and production-ready software practices Working understanding of CI/CD concepts and pipelines (e.g., GitHub Actions, Jenkins or similar tools) Ability to work independently and keep momentum in environments with evolving requirements Excellent communication and collaboration skills Positive, curious, and adaptable mindset with a commitment to continuous learning Nice to have Familiarity with Gen AI in SDLC We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn #J-18808-Ljbffr