AI QA Automation Lead: Scale Testing with AI

EPAM Systems; Sydney; On-site; AUD 140,000 - 200,000; Full time

Job summary

EPAM Systems in Australia seeks a Lead AI QA Automation Engineer to own and evolve the test automation strategy across Playwright and AI-first platforms, with an emphasis on scalable, maintainable web app testing. This role is senior/lead IC and involves presales support for local client projects across Australia.

You will drive AI-enabled test design and maintenance, establish standards, collaborate with engineering, product and DevOps, and help accelerate quality across the SDLC.

Qualifications

• Extensive hands-on QA automation experience with Playwright or AI-first tools.
• Experience applying AI/LLM tools to QA workflows and test design.
• Strong background in CI/CD pipelines and automation frameworks.

Responsibilities

• Lead the design, architecture, and continuous improvement of our test automation approach across Playwright and AI-first tools.
• Champion the use of AI tools to increase automation coverage and reduce manual test effort.
• Set technical standards for automation, CI/CD integration, and quality gates across the SDLC.
• Partner with engineering, product, and DevOps to embed automation throughout the software lifecycle.
• Support presales and consultative activities for client engagements across Australia, including demos and technical discovery.
• Provide technical guidance on QA automation strategy and tooling across internal and client initiatives.

Skills

Playwright

AI tools

LLM testing

CI/CD

Stakeholder mgmt

Tools

Functionize

Testim

testRigor

GitHub Actions

Jenkins

Azure DevOps

Job description

EPAM Systems in Australia seeks a Lead AI QA Automation Engineer to own and evolve the test automation strategy across Playwright and AI-first platforms, with an emphasis on scalable, maintainable web app testing. This role is senior/lead IC and involves presales support for local client projects across Australia.

You will drive AI-enabled test design and maintenance, establish standards, collaborate with engineering, product and DevOps, and help accelerate quality across the SDLC.