Streaming Media QE Web Automation Engineer, Graphics, Games, and ML

The Web Streaming Quality Engineering team at Apple ensures our customers enjoy seamless, high-fidelity playback experiences when watching movies, shows, and listening to music across Apple Music, Apple TV+, and third-party partner applications on various web platforms (browsers, smart TVs, connected devices, and game consoles). We uphold the high bar of quality Apple is known for while building the next generation of web-based streaming infrastructure. We are looking for a strong Python or JavaScript/TypeScript developer to design, build, and maintain our web automation framework and test suites.

We are seeking an experienced Quality Engineering Automation Engineer with strong software development skills in Python and JavaScript/TypeScript to join our team. In this role, you will collaborate closely with engineering, QA, and product teams to design resilient automation systems that validate media playback, streaming performance, and user experience across diverse web environments and hardware platforms. If you are passionate about solving complex automation challenges with robust, scalable solutions, this is the role for you.

Minimum Qualifications

• Strong software development experience in Python or JavaScript / TypeScript
• Proven track record in test automation framework design and creating end-to-end (E2E) automated test suites
• Solid understanding of CI/CD pipelines and building resilient, non-flaky test automation
• Experience authoring comprehensive test plans and test strategy documentation
• Strong analytical, debugging, and problem-solving skills
• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience

Preferred Qualifications

• Experience with web automation tools/frameworks
• Familiarity with the HLS streaming protocol (Knowledge of Dash wouldn’t help the team
• Diagnose, isolate, and debug complex streaming, playback, and network-related issues across streaming clients
• Knowledge of web performance metrics, network profiling, and video quality assessment techniques