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Senior Cloud Infrastructure and AI Efficiency Engineer

Apple· Cloud Infrastructure Business Operations
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Hybrid (Seattle, Washington; Austin, Texas; Cupertino, California; San Francisco, California)$175k - $308.5k + equityFull-timePosted 2mo ago

About the role

Engineer focused on data-driven insights to plan, optimize, and drive Apple’s cloud infrastructure strategy across private and public clouds, 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.
  • 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 and 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.
  • Bachelor's Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
  • Stays close to the frontier, brings ideas back to the team, and shapes how Apple gets ahead of the shift rather than reacts to it.
  • 5+ years designing, operating, and optimizing infrastructure across public and private cloud environments (AWS, GCP, or equivalent on-premise).
  • Experience in cloud platforms (AWS, GCP, Azure) — including security, cost optimization, and governance best practices across hybrid and multi-cloud environments.
  • Experience designing and deploying scalable, cloud-native architectures with a strong foundation in distributed systems, reliability, and fault-tolerant design.
  • Hands-on experience with FinOps and cost optimization — using tools like Cloudability or CloudHealth, and applying AI-assisted analysis to surface savings opportunities.
  • Strong analytical foundation — proficient in trending, variance analysis, and forecasting, with the ability to build and communicate AI-augmented models that inform capacity planning and financial strategy.
  • Deep familiarity with Kubernetes — including optimization strategies for resource efficiency, bin packing, autoscaling, and cost-aware scheduling in multi-tenant and dedicated cluster environments.
  • Experience with cloud observability and telemetry tooling (e.g. CloudWatch, Datadog, Honeycomb).
  • Experience building Finance or FinOps subject areas from the ground up — including unit economics, chargeback models, and data pipelines and taxonomies for cost attribution.
  • Clear, compelling communicator — able to translate complex technical and financial narratives into crisp insights for engineering and executives.
  • Informed perspective on the AI landscape — follows foundation models, tooling, and industry adoption patterns to help shape AI priorities in cloud infrastructure.

Skills

Required:SQL

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • education expense reimbursement (tuition)
  • potential discretionary bonuses or commission payments
  • relocation assistance
  • equity opportunity via Apple stock programs
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.

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