QA Engineer

QA ENGINEER

LONDON/HYBRID

UP TO £75,000

This is an opportunity to join a growing technology business at a pivotal stage in its product journey. You will play a key role in shaping an AI-first approach to quality engineering, building scalable automation frameworks and helping deliver a high-quality web platform used in a data-intensive environment.

ROLES AND RESPONSIBILITIES:

The QA Engineer will:

• Design, develop, and maintain automated testing frameworks from the ground up.
• Create automated tests across front-end applications, APIs, and back-end systems.
• Validate complex data flows, ensuring accuracy, reliability, and data quality.
• Build regression testing capabilities to support ongoing platform enhancements and third-party integrations.
• Collaborate with developers, product teams, and stakeholders to improve testability and release quality.
• Drive the use of AI tooling within the testing lifecycle to increase efficiency and reduce manual effort.
• Support CI/CD processes and contribute to continuous quality practices.
• Help establish best practices for automation architecture, test coverage, and quality engineering.

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience with Java or Kotlin.
• Experience testing both frontend and backend systems.
• Hands-on API testing experience using tools such as Rest Assured, Postman, Swagger, or similar.
• UI automation experience with tools such as Selenium, Selenide, or Playwright.
• Understanding of JSON, XML, HTTP methods, response codes, and web architecture.
• Experience working with test frameworks such as JUnit or TestNG.
• Knowledge of SQL and data validation techniques.
• Experience with CI/CD pipelines and tools such as GitHub Actions.
• Familiarity with Jira, Confluence, or similar delivery tools.
• A strong interest in AI-native engineering practices, including the use of tools such as Claude and N8N to accelerate development, automation, and testing workflows.
• A mindset focused on removing manual effort through intelligent automation and process improvement.