Engineering Manager - Compute, Apple Cloud Engineering

Apple • Seattle, WA

89d

About The Position

People at Apple don’t just build products. They craft the kind of experiences that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Do you love crafting elegant solutions to highly complex challenges? Can you intrinsically see the importance of every detail? At Apple, the Compute organization is responsible for designing and building the foundational pieces of our data center software. In this role, you will collaborate with senior technical talent and leaders across Apple to build and deploy forward-looking Compute platforms that support Apple products and services. We are seeking an Engineering leader to lead & grow engineering and research initiatives to help build Apple Cloud Compute. You will lead highly performant teams that will research, align, architect, drive, and build solutions to support Apple Cloud Engineering efforts with a specific focus around Kubernetes backed compute offerings.

Requirements

• 10+ years of overall industry experience.
• 5+ years building & leading high-performing research & engineering teams with a focus on cloud computing.
• Deep experience working on Containers and Kubernetes internals.
• Experience working across one or more platforms focused on Virtualization or Batch technologies.
• Experience with cloud platforms like AWS, Azure, or Google Cloud is highly desirable.
• Familiarity with all aspects of software development from architecture to deployment and maintenance.
• Understanding of cloud computing architectures, systems design and performance optimization.
• Strong understanding of concurrency, parallelism, and distributed systems concepts.
• Fluency in Go (Golang), Python, Swift, Java or similar languages in a systems context.
• Excellent written and oral communication skills.

Nice To Haves

• Bachelor’s degree in Computer Science, Engineering, or equivalent.
• Experience operating large-scale multi-tenant infrastructure as a managed service.
• Knowledge of algorithms and distributed system architectures.
• Familiarity with workload scheduling.
• Strong systems programming skills and knowledge of operating system fundamentals.

Responsibilities

• Oversee all aspects of our cloud compute services, including infrastructure, software, and operations.
• Collaborate closely with SRE partners.
• Optimize Virtual Machines, Kubernetes, Containers, and Batch Workloads.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees