Overview

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
  • Hands-on experience using AI tools in day-to-day engineering activities
  • 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

[GTS] Benefits (generic, except India)

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • 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