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Job Description

QA Automation Engineer

London – 2 days in office

Up to £60,000 + benefits

An opportunity to join a fast-growing tech business where quality engineering sits at the heart of the product. This role will focus on building and scaling modern test automation within a microservices environment, using advanced tooling and AI-assisted approaches to improve reliability and delivery speed.

The Company

A well-funded, scaling technology business building a data-driven digital product. Teams work in cross-functional squads and place a strong emphasis on engineering quality, product innovation, and user experience. It’s an environment where engineers have real influence over how the product evolves.

The Role

Build and maintain automated test suites to reduce manual testing and improve coverage. Work closely with engineers, product managers, and QA peers to ensure requirements are testable and clearly defined. Use AI-enabled tooling to accelerate test creation, debugging, and synthetic data . Plan and execute testing across smoke, regression, functional, and performance areas. Maintain test documentation and support best practice across the QA function. Contribute to Agile ceremonies and continuous improvement within the squad. Support the wider adoption of test automation across the engineering team.

Skills & Experience

Commercial experience in QA automation with Java or Kotlin. Strong understanding of object-oriented programming principles. Experience testing APIs using tools such as RestAssured, Feign, Swagger, or Postman. UI automation experience with Selenium, Selenide, or Playwright. Familiarity with TestNG, JUnit, and SQL for data validation. Experience with debugging and monitoring tools (e.g. Sentry or Elasticsearch). Exposure to performance testing tools such as JMeter or Gatling. Experience with test management tools (e.g. TestRail) and delivery tools such as Jira and Confluence. Knowledge of CI/CD pipelines, ideally GitHub Actions. Experience working in Agile environments, ideally with microservices architectures. Exposure to AI tooling to improve productivity is highly beneficial.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.