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Senior Cloud Infrastructure and AI Efficiency Engineer

Apple· Cloud Infrastructure Business Operations
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Hybrid (Austin; Cupertino; San Francisco; Seattle)Full-timePosted 2mo ago

About the role

Engineer in Apple’s Cloud Infrastructure Business Operations to drive data-driven insights and strategic recommendations for Apple’s infrastructure planning across private and public cloud environments, with emphasis on AI efficiency, cost optimization, and cross-functional collaboration.

Responsibilities

  • Build insights into cloud services: architecture, cost, utilization at Apple scale and collaborate on efficiency with service teams like iCloud, Music, Siri, or Apple TV+.
  • Work in a hybrid and multi-cloud environment across Apple’s private cloud services and public cloud providers spanning traditional compute, storage, AI training clusters, and inference serving at scale.
  • Unlock career growth beyond any single platform.
  • Partner with senior engineering and business leaders to translate complex, high-dimensional infrastructure data into clear business metrics for strategic recommendations that drive measurable financial and operational value for the infrastructure business.
  • Help build services that see privacy as a fundamental right and protect user data at all cost.
  • Be a force multiplier for engineering teams.
  • Go beyond reports and dashboards — use AI to deliver proactive, contextual insights and recommendations rooted in engineering best practices that helps engineering teams make better architectural decisions faster, at every stage of the development lifecycle.

Qualifications

  • 10+ years in an engineering role — with a track record of owning and delivering complex initiatives end-to-end.
  • Able to research, architect and drive complex technical solutions, consisting of multiple technologies, cloud services and AI systems — from early prototype to production at scale.
  • Able to write SQL hands-on with AI, understand schema design, and recognize what makes queries expensive. Knows enough to ask data engineers the right questions, not just the broad ones.
  • Experience with compute containerization and orchestration technologies (e.g., Docker, Kubernetes) for pod-based service deployment, operations and lifecycle management.
  • Genuinely curious about AI — actively explores new tools and workflows, brings ideas about what the team should adopt next, and knows how to translate those ideas into concrete asks for platform teams to build or support.
  • Curiosity about GPUs, AI/ML systems and LLM-powered workflows — actively explores new tools and workflows, brings ideas about what the team should adopt next, and knows how to translate those ideas into concrete asks for platform teams to build or support.
  • Ability to define architecture by influencing the cross-functional and software development team, while partnering with business to ensure their strategic vision with software technology is met.

Skills

Required:SQLContainerization and orchestrationCloud platformsFinOps / cost optimizationKubernetes optimizationObservability and telemetryCommunication

Benefits

  • Inclusion and diversity commitment
  • Accessibility and accommodations information
  • EEO rights information
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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