Senior Quality Engineer (Mobile)

Posted 02 October 2026
LocationLondon
Job type Contract
Discipline Technology

Job description

​We are looking for a Senior Quality Engineer (Mobile) to join a cross-functional Scrum Team. The role focuses on building quality into the software development lifecycle through mobile automation, API testing, debugging, CI/CD and continuous improvement.

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Key Responsibilities

  • Collaborate with developers, product owners and QA engineers to deliver high-quality mobile features.

  • Develop and maintain automated testing frameworks for iOS and Android using Appium, Katalon or similar tools.

  • Perform functional, regression, integration, end-to-end and exploratory testing.

  • Perform API testing and automation using Postman or similar tools.

  • Troubleshoot mobile and API issues using tools such as Charles Proxy, Splunk and Sentry.

  • Integrate automation into CI/CD pipelines and improve test reliability and reporting.

  • Develop reusable, data-driven automation frameworks and reduce flaky tests.

  • Promote quality ownership and continuous improvement across the Scrum Team.

  • Use AI-assisted tools responsibly for test generation, analysis and code review.

Must-Have Skills

  • 7+ years of software quality engineering experience and a degree in Computer Science, Engineering or related field.

  • Strong hands-on experience testing iOS and Android applications.

  • 3+ years of mobile automation experience with Appium, Katalon, Selendroid or similar tools.

  • Strong knowledge of functional, regression, integration, E2E, compatibility and accessibility testing.

  • Knowledge of Swift, Kotlin or similar programming languages.

  • Strong programming, debugging and problem-solving skills.

  • Experience with CI/CD and automation framework integration.

  • Good communication and collaboration skills in Agile/Scrum teams.

Nice-to-Have

  • Experience with WebdriverIO (WDIO), JavaScript or TypeScript automation.

  • Mobile and API customer journey/E2E automation experience.

  • Experience with test data management, root-cause analysis and flaky-test reduction.

  • Experience with AI-assisted testing and engineering productivity tools.