Overview

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

[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