QA Tools and Automation Engineer - Apple Cloud
Apple
Software Engineering, Quality Assurance
Austin, TX, USA
Posted on Jun 2, 2026
Are you passionate about quality? Do you naturally obsess over details and believe that customers deserve the best? Bring your passion and dedication to this job, and there's no telling what you could accomplish. We are looking for a software engineer in test with a natural affinity to quality assurance, automation and development. Our group of hard-working engineers don multiple hats, nurture uncommon senses and foster customer empathy. We are coders, hackers, debuggers, and most importantly we promote customer advocacy. An ideal candidate is someone who is no stranger to evolving business needs and can adapt to new directions in a heartbeat. You have a good blend of manual testing and automation, are creative, can invent new ways to analyze, and foresee better products.
In this position, you have the opportunity to collaborate with multi-functional engineering teams that design and build core backend systems that power next generation Apple Cloud products. You accept a high level of accountability to ensure that the Apple Cloud Product's experience on OS X and iOS is second to none.
- Work closely with a development team on manual testing for new features
- Responsible for building new features for automation framework
- Design and build Reporting infrastructure implementation
- Investigate / Analyze a Continuous Integration solution
- Leverage AI and ML-based tooling to enhance test coverage, anomaly detection, and failure analysis
- Providing support to QA teams utilizing the automation framework
- Experience in Software QA/black box testing
- Diagnostic skills with large, interconnected backend services a plus
- Experience in designing and building automated test frameworks for web and/or mobile applications
- Proficiency with Java, Python, Javascript, Swift or other Object Oriented language
- Knowledge of WebDriver protocol, Selenium or Appium
- Knowledge of Continuous Integration
- Experience with AI/ML tooling for test automation, including LLM-assisted test generation, intelligent test selection, or AI-driven defect analysis
- Familiarity with AI observability and monitoring tools to support quality in ML-powered systems
- Critical thinking and strong problem solver
- Strong technical experience on multiple platforms (OS X, iOS, Windows, etc.)
- Ability to work in a fast-paced and dynamic environment
- Ability to work cross functionally
- BS EE/CE/CS or equivalent industry experience