Apple Inc.-posted 29 days ago
Full-time • Mid Level
Seattle, WA
5,001-10,000 employees
Computer and Electronic Product Manufacturing

The Apple Services Engineering 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 an extensive scale, meeting Apple's high expectations with dedication to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our Program Managers partner with engineers who build secure, end-to-end solutions. Thanks to Apple's unique integration of hardware, software, and services, engineers and Program Managers 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, flexible, and cross-functional, offering greater exposure to the array of opportunities here. The Apple Cloud Services Infrastructure team is seeking a senior engineering program manager to lead capacity management and operations across our cloud platform. You'll build the systems and processes that enable Apple's infrastructure to scale efficiently. You'll be responsible for capacity planning operations and tooling that spans data services, compute, networking, elastic disk, and elastic compute systems. Working with engineering, product, and business teams, you'll drive the roadmap for capacity planning tools, operational workflows, and resource optimization that power Apple's services at scale.

  • Experience with public cloud providers (AWS, Azure, GCP) and hybrid cloud architectures
  • Background in GPU/accelerator capacity planning or high-performance computing
  • Experience building capacity forecasting models or resource optimization tooling
  • Familiarity with data services, storage systems, and network capacity planning
  • AIML infrastructure or ML platform experience preferred
  • Proven ability to influence senior engineering leaders and build consensus across organizations with competing priorities
  • Strong aptitude for problem solving and the ability to make complex technical and business trade-offs
  • Self-motivated and proactive; demonstrated ability to quickly triage, prioritize, and lead cross-functional teams under pressure
  • Track record of driving measurable improvements in team quality, performance, agility, or effectivenessArray
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