Senior Mobile Software Engineer, Quality Engineering

This role focuses on advancing mobile quality engineering through automation, developer tooling, and AI-powered approaches to software testing.
You will build and evolve comprehensive test automation across native iOS and Android applications, covering the full testing pyramid.
The position combines hands-on mobile engineering with test architecture, CI/CD integration, quality measurement, and continuous improvement.
You’ll work closely with mobile engineers to design highly testable systems, improve modularity, and strengthen automation coverage for features and releases.
The role also involves identifying weaknesses across complex systems, troubleshooting difficult failures, and improving the reliability and signal quality of test suites.
Working in a fast-paced, globally distributed environment, you’ll collaborate across Product, Engineering, CI/CD, and Quality Engineering teams to deliver reliable experiences at scale.

• 5+ years of professional experience in software engineering and software testing.
• Strong hands-on experience with at least one native mobile technology stack, either Kotlin/Android SDK or Swift/iOS SDK, along with working knowledge of the other.
• Experience with modern mobile build tools such as Gradle and Xcode.
• Strong understanding of software test automation methodologies, tools, and frameworks.
• Hands-on experience with mobile automation frameworks such as Espresso, Compose Test, or XCUITest.
• Experience integrating automated tests into CI/CD pipelines using tools such as Buildkite, Spinnaker, Jenkins, or Fastlane.
• Strong Git and version-control experience.
• Experience using quality metrics such as coverage, flaky test rates, suite execution time, and escaped defects to guide engineering priorities.
• Proven ability to develop solutions for ambiguous and complex technical problems involving multiple teams.
• Experience designing integrations or technical solutions with significant cross-team impact.
• Excellent communication and collaboration skills, particularly when working with cross-functional teams.
• Curiosity and practical interest in applying AI or LLM technologies to software testing and developer productivity.
• Comfortable collaborating professionally in English.
• Bachelor’s degree in Computer Science, Engineering, or an equivalent technical qualification.