Senior Cloud Infrastructure and AI Efficiency Engineer

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York City, NY
Salary
$184,700–$324,800 / yr
Posted
43 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $255k
$116k most similar roles pay here $347k

This role pays more than 92% of similar roles. Most pay $144,350–$222,000 — the shaded band above. At the midpoint, this role pays about $255k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3513 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2730 roles with salary data.

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At a glance

TL;DR · Senior Cloud Infrastructure and AI Efficiency Engineer

The Senior Cloud Infrastructure and AI Efficiency Engineer joins the Cloud Infrastructure Business Operations team to drive data-driven insights regarding infrastructure planning, strategy, and delivery. This role involves building insights into cloud services such as architecture, cost, and utilization while collaborating with service teams like iCloud and Music. The engineer will operate in hybrid and multi-cloud environments involving private clouds, public providers, and AI training clusters. Key responsibilities include translating high-dimensional infrastructure data into business metrics and using AI to provide proactive recommendations for architectural decisions. Required skills include SQL, container orchestration via Docker and Kubernetes, and experience with FinOps tools like Cloudability or CloudHealth. The role addresses the challenge of optimizing large-scale cloud resources, managing cost-aware scheduling in multi-tenant environments, and navigating the evolving landscape of foundation models and AI-native workflows to improve infrastructure efficiency.

What you'll do

  • Analyze cloud service architecture, cost, and utilization metrics at scale for internal services like iCloud and Siri.
  • Manage infrastructure across hybrid and multi-cloud environments including private clouds and public providers.
  • Translate complex high-dimensional infrastructure data into clear business metrics for executive strategic recommendations.
  • Use AI to deliver proactive, contextual insights and architectural recommendations throughout the development lifecycle.
  • Implement FinOps practices to identify cost savings, model tradeoffs, and drive accountability across engineering teams.
  • Optimize Kubernetes resource efficiency, including bin packing, autoscaling, and cost-aware scheduling in multi-tenant environments.
  • Build data pipelines and taxonomies to establish unit economics and chargeback models for cost attribution.
  • Monitor infrastructure health and performance by connecting telemetry signals into a coherent operational picture.

What we're looking for

  • 10+ years of experience in an engineering role with a track record of delivering complex initiatives end-to-end.
  • 5+ years of experience designing, operating, and optimizing infrastructure across public and private cloud environments.
  • Ability to research, architect, and drive complex technical solutions involving multiple technologies, cloud services, and AI systems.
  • Proficiency in writing SQL with AI, understanding schema design, and identifying expensive queries.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes for pod-based service management.
  • Expertise in cloud platforms (AWS, GCP, Azure) including security, cost optimization, and governance in hybrid/multi-cloud environments.
  • Hands-on experience with FinOps, cost optimization tools, and building financial models like unit economics and chargeback models.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

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