Software Development Engineer in Test

1 day ago


Slovenia Coley S Home Remodeling Full time €60,000 - €80,000 per year
As a Software Development Engineer in Test on the Product Software Quality Assurance team, your role will focus on building scalable integration automation frameworks and enhancing existing frameworks for automated testing of mobile applications. You will design and implement functional and integration automation tests for mobile app used by the customer fleet, ensuring comprehensive test coverage and reducing manual testing efforts. By prioritizing automation for repetitive tasks, developing robust regression suites, and focusing on edge cases and high-stress scenarios, you will ensure the reliability of safety-critical tools.

Key Responsibilites
  • Design and build device farms in saucelabs and integrate it with CI/CD
  • Design and build mocking framework for the backend service to remove Mobile app testing dependency on backend service.
  • Architect and maintain scalable mobile test automation frameworks
  • Create and execute automated tests for iOS and Android applications
  • Collaborate with cross-functional teams to optimize automation frameworks

Required Qualifications
  • 5+ years of experience in software development or quality assurance, focusing on automated testing
  • Strong programming skills in Python, Swift, Kotlin/Java
  • Hands-on strong experience on Kotlin Multiplatform and Saucelabs
  • Proven expertise with mobile app testing frameworks (XCUITest, Espresso, Compose and Appium)
  • Hands-on experience in API testing and test automation design patterns
  • Proficient with Testing tools like PyTest, Git, CI/CD pipelines, and JIRA
  • Infrastructure: Docker, Kubernetes, nginx
  • Backend: , Express
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment

Nice To Have
  • Experience with cloud platforms such as AWS
  • Knowledge of security testing for mobile applications
  • Familiarity with performance testing tools
  • Exposure to machine learning pipelines and concepts
  • Understanding of Agile development methodologies

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