Software Development Engineer in Test

The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.

These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server‑side systems, and the APIs for many Apple services. Thanks to Apple’s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values.

Although services are a bigger part of Apple’s business than ever before, these teams remain small, nimble, and cross‑functional, offering greater exposure to the array of opportunities here.

The Media Services QA team is seeking a senior software development test engineer who is interested in ASE products, wants to make an impact on them and on Apple as a whole, excels at improving the data quality, and is driven to use and create cutting‑edge tools and technologies. This role involves developing tools, frameworks and applications to support client‑to‑server automation testing.

• B.S. or M.S. in Computer Science or equivalent experience.
• Proficiency in Swift, Python and SQL.
• 10+ years experience in building tools and frameworks for QA automation testing.
• Good understanding of full‑stack development including back‑end services and front‑end UI design in Java script or Typescript.
• Strong skills in building and developing with service infrastructures such as Kubernetes, Docker, CICD pipelines.
• Understanding of data analytics, data interrelationships and data pipeline testing.
• Experience in designing and creating AI agents.
• Strong analytic and problem‑solving skills.
• Experience with Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Cassandra).
• Experience with near real‑time (NRT) and Batch data pipelines.
• Experience with ML model training or fine‑tuning.
• Experience building enterprise‑level machine learning applications with PyTorch, Scipy, Scikit‑learn.

• Self‑motivated individual with strong technical skills who can contribute in a team environment.
• Comfortable and adaptable in a fast‑paced environment.
• Good soft skills, especially listening and interfacing with stakeholders.
• Willingness to work cross‑functionally with other teams.