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Apple • Seattle, Washington, United States
Role & seniority: Senior/Experienced QA & Automation Engineer (Apple Media Services QA)
Stack/tools: Swift, Python, Shell scripting; test frameworks/tools; iOS/macOS (tvOS/watchOS a plus); UI and API automation; mobile and desktop platforms; backend services
Own and drive test automation strategies; execute functional, acceptance, compatibility, integration, and reliability testing via automated frameworks for mobile and desktop apps
Design, implement, and maintain scalable test systems spanning consumer UI and backend APIs/services; contribute to test applications and tooling for API/UI automation
Collaborate with engineering partners across Apple Music, Apple TV+, Podcasts, and related apps to define testing strategies and drive infrastructure initiatives for scalable, reliable, AI-enhanced QA
Automation-focused (automation >90% of daily work)
Hands-on testing of iOS/macOS apps (tvOS/watchOS knowledge a plus)
Experience developing test frameworks, tools, or test applications
Proficiency in Swift, Python, and Shell scripting
Ability to thrive in a fast-paced, highly collaborative environment
Deep understanding of SQA methodologies and best practices
Ability to own an entire functional area of an application or system
Strong problem-solving skills and attention to detail
Interest/experience with AI/ML techniques to enhance QA efficiency and quality
Loca
Apple Services Engineering (ASE) is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These teams power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at massive scale to deliver high-quality experiences in over 35 languages across more than 150 countries. ASE engineers build secure, end-to-end solutions, including custom software that processes creative content, tools used by content providers, server-side systems, and APIs that power Apple services. Thanks to Apple’s unique integration of hardware, software, and services, teams collaborate around a single unified vision—one that includes a deep commitment to privacy, one of Apple’s core values.
DESCRIPTION
We are looking for experienced QA / Tools & Automation Engineers with strong hands-on automation skills (Swift, Python) to join our Apple Media Services (AMS) QA team. You will work on some of Apple’s most well-known applications and play a key role in improving product quality through automation, tooling, and intelligent testing strategies. You will own and drive test automation approaches and strategies, executing functional, acceptance, compatibility, integration, and reliability testing through automated frameworks for both mobile and desktop applications. This role requires close collaboration with engineering teams across Apple Music, Apple TV+, Podcasts, and other Apple apps to design and maintain scalable systems that validate critical features across devices and backend services. These systems span consumer-facing UI as well as backend APIs and services. You will contribute directly to the development of test applications, frameworks, and tooling used for API and UI automation. You’ll collaborate with engineering partners to define testing strategies and work on infrastructure initiatives that improve the scalability, reliability, and intelligence of our test systems. This is a highly technical and collaborative role, well-suited for engineers who enjoy solving complex problems through code, infrastructure, and AI-driven quality innovation.
MINIMUM QUALIFICATIONS
Strong automation experience (automation >90% of daily work) Hands-on experience testing iOS and macOS applications (tvOS, watchOS knowledge is a plus) Experience developing test frameworks, tools, or test applications Comfortable
working in a fast-paced, highly collaborative environment Proficiency in: Swift, Python, Shell scripting
PREFERRED QUALIFICATIONS
Deep understanding of SQA methodologies and best practices Ability to own an entire functional area of an application or system Strong problem-solving skills and attention to detail Interest or experience using AI/ML techniques to enhance QA efficiency and quality