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Lead QA Automation Engineer (Python)

Role overview

Qualifications

  • 8+ years of experience in QA automation
  • Strong experience with Big Data testing and distributed data validation
  • Expertise in Python, PyTest, and test automation framework design
  • Familiarity with CI/CD pipelines such as Jenkins and GitLab CI

Responsibilities

  • Lead the QA automation team, providing technical guidance, mentorship, and performance support
  • Design, develop, and maintain robust automated test frameworks using Python and frameworks such as PyTest
  • Oversee test planning, execution, and reporting for Big Data applications
  • Collaborate with development, product, and DevOps teams to integrate test automation into CI/CD pipelines

Key facts

Hard skills

Other skills

  • Leadership
  • Mentorship
  • Collaboration

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We are looking for a Lead QA Automation Engineer with 8+ years of experience to drive test automation strategy and lead a team of QA engineers. The role combines hands-on automation expertise in Python with team leadership, ensuring high-quality delivery across complex enterprise applications, APIs, and Big Data systems. Responsibilities Lead the QA automation team, providing technical guidance, mentorship, and performance support Design, develop, and maintain robust automated test frameworks using Python and frameworks such as PyTest Oversee test planning, execution, and reporting for Big Data applications Collaborate with development, product, and DevOps teams to integrate test automation into CI/CD pipelines Ensure consistent use of version control and maintain high-quality automation code standards Conduct code reviews, implement best practices, and define automation strategy for new initiatives Leverage AI-assisted tools for test generation, automation script design, and efficiency improvements Facilitate risk assessment and defect management to ensure high-quality releases Requirements 8+ years of experience in QA automation with proven leadership experience in QA automation teams Strong experience with Big Data testing and distributed data validation Expertise in Python, PyTest, and test automation framework design Familiarity with CI/CD pipelines such as Jenkins and GitLab CI Proficiency in version control tools such as Git Capability to mentor junior engineers and drive adoption of automation best practices Flexibility to use AI tools to enhance test design, efficiency, and coverage

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