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 looking for a proactive and adaptable Senior QA Automation Support Engineer who embraces AI‑native development practices and has hands‑on experience delivering software into production environments. The ideal candidate is comfortable working in fast‑moving and evolving environments, can operate effectively with limited direction, and is capable of influencing teams through change, including teams that may initially resist AI‑driven approaches. This role is well‑suited for someone who combines strong QA and automation fundamentals with modern engineering practices, curiosity, and a collaborative mindset. Responsibilities Develop, maintain, and support QA automation solutions and testing workflows across the software delivery lifecycle Leverage AI‑powered engineering tools to enhance productivity, testing efficiency, and overall delivery quality Participate in production support activities, including troubleshooting and issue resolution as needed Collaborate with cross‑functional engineering teams to ensure software quality and reliability Contribute to CI/CD pipeline improvements and support the integration of automated testing within delivery workflows Help drive the adoption of modern AI‑assisted engineering practices across teams Operate effectively in ambiguous or evolving environments by proactively identifying gaps and proposing solutions Support continuous improvement initiatives related to QA processes, automation, and engineering excellence Communicate clearly with both technical and non‑technical stakeholders while fostering a positive and collaborative working environment Requirements At least 3 years of hands‑on experience in QA automation, software testing, or support engineering Proven experience delivering software into production environments with a solid understanding of the full SDLC Practical experience using AI tools in everyday engineering activities to boost productivity and quality Strong grasp of QA fundamentals, testing strategies, and production‑ready software practices Solid understanding of CI/CD concepts and pipelines, including tools such as GitHub Actions, Jenkins, or equivalent Ability to work autonomously and drive progress in environments with shifting or evolving requirements Strong communication and collaboration skills for working with diverse teams and stakeholders Positive, curious, and adaptable mindset with a genuine willingness to continuously learn and grow Nice to have Hands‑on experience with Python for scripting, automation, or tooling Background in Test Automation or QA Engineering roles Practical experience working with AI‑assisted development workflows Understanding of how engineering work connects to broader business and product objectives Exposure to enterprise‑scale or highly collaborative working environments Previous experience with Cotality environments or projects is a plus 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