Senior Cloud Infrastructure and AI Efficiency Engineer

What you'll do

• Analyze cloud architecture, cost, and utilization across Apple services and hybrid/multi-cloud infrastructure.
• Translate infrastructure data into business metrics and recommendations that improve financial and operational outcomes.
• Use AI to provide proactive insights and architectural recommendations throughout the development lifecycle.

What they ask for

• 10+ years in an engineering role, with a track record of owning and delivering complex initiatives end-to-end.
• Ability to architect and deliver complex technical solutions involving multiple technologies, cloud services, and AI systems from prototype to production at scale.
• Hands-on SQL skills, schema-design understanding, and ability to identify expensive queries.
• Experience with compute containerization and orchestration technologies such as Docker and Kubernetes.

Nice to have

• Bachelor's Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Experience designing and optimizing infrastructure across public and private clouds, FinOps and cost optimization, observability, and AI-native workflows.

Pay

$184,700 and $324,800 USD base salary; $175,000 and $308,500 USD base salary

Tools

SQL, Docker, Kubernetes, AWS, GCP, Azure, Cloudability, CloudHealth

AI focus

Use AI to generate proactive infrastructure insights and recommendations; work with AI systems and explore foundation models, agentic AI, AI-native workflows, and AI-assisted cost analysis.