Senior Cloud Infrastructure and AI Efficiency Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$184,700–$324,800 / yr
Posted
43 days ago
Freshness
Confirmed live yesterday

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 across private and public clouds, including training clusters and inference serving. The engineer will translate high-dimensional infrastructure data into business metrics for strategic recommendations while using AI to provide proactive, contextual insights for engineering teams. Key technical requirements include hands-on SQL experience, proficiency with Docker and Kubernetes for container orchestration, and familiarity with cloud observability tools like Datadog or CloudWatch. Candidates must possess expertise in FinOps, cost optimization, and large-scale distributed systems. The role addresses the challenge of managing complex hybrid environments while optimizing infrastructure performance and financial outcomes through advanced AI-native workflows and automated analysis.

What you'll do

  • Analyze cloud service architecture, cost, and utilization metrics at scale to drive infrastructure efficiency.
  • Manage hybrid and multi-cloud environments including private clouds, public providers, and AI training clusters.
  • Translate complex infrastructure data into clear business metrics for strategic financial and operational recommendations.
  • Utilize AI to deliver proactive, contextual insights that inform engineering architectural decisions.
  • Develop and manage FinOps initiatives, including unit economics, chargeback models, and cost attribution pipelines.
  • Optimize Kubernetes resource efficiency through bin packing, autoscaling, and cost-aware scheduling.
  • Monitor infrastructure health and performance using cloud observability and telemetry tools.
  • Research and integrate emerging AI technologies and workflows into the cloud infrastructure roadmap.

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.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Proficiency in SQL for data analysis, schema design, and identifying expensive queries.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Expertise in multi-cloud environments (AWS, GCP, Azure) including security, cost optimization, and governance.
  • Hands-on experience with FinOps tools and building financial models for unit economics and cost attribution.
  • Ability to communicate complex technical and financial narratives to both engineering and executive audiences.

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