Senior QA Automation Engineer - Fast, Reliable Tests

Link Group; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Job summary

Link Group is seeking an experienced Test Automation Engineer to improve and modernise an existing test automation landscape. The role focuses on reducing test execution time, increasing release confidence, and supporting migration of test pipelines to GitHub Actions.

This hands-on role requires deep knowledge of test automation at scale, collaboration with backend/platform teams, and the use of AI tools to identify gaps, troubleshoot issues, and speed up engineering work.

Qualifications

• Strong Selenium experience and modern test automation practices.
• Proficiency in Java and/or Groovy for test development.
• Hands-on automation QA with backend-oriented testing background.
• Experience with Serenity BDD, Cucumber, JUnit, and Allure.
• Familiarity with GitHub Actions and CI/CD pipelines.
• Basic Kubernetes knowledge and willingness to use AI tools for analysis.

Responsibilities

• Refactor and improve the existing load testing suite to reduce runtime.
• Enhance test performance and reliability for faster deployments.
• Migrate remaining test suites from Jenkins to GitHub Actions.
• Increase automated test stability and maintain GUI regression coverage.
• Analyze failures, identify gaps, and propose automation improvements.
• Collaborate with engineering teams to improve testability and feedback loops.
• Leverage AI tools to support analysis, gap detection, and troubleshooting.

Skills

Selenium

Java/Groovy

Automation QA

Serenity BDD

Cucumber

JUnit

Allure

GitHub Actions

Kubernetes basics

AI tooling

Job description

Link Group is seeking an experienced Test Automation Engineer to improve and modernise an existing test automation landscape. The role focuses on reducing test execution time, increasing release confidence, and supporting migration of test pipelines to GitHub Actions.

This hands-on role requires deep knowledge of test automation at scale, collaboration with backend/platform teams, and the use of AI tools to identify gaps, troubleshoot issues, and speed up engineering work.