Cloud Infrastructure Engineer — Containers & HPC

Apple Inc.; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple Inc. is seeking a software engineer for the Cloud Engineering team to build and integrate software orchestrating workloads across high-performance, energy-efficient systems powering Apple’s next-generation data centers.

You will partner with cross-functional teams to adapt and scale software on a novel compute platform, driving the foundation of future cloud architectures while leveraging hardware acceleration for ML and HPC workloads.

Qualifications

• 4+ years in software development, building and managing cloud infrastructure or distributed systems.
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent experience.
• Strong engineering skills with Kubernetes or Nomad and Linux system components.

Responsibilities

• Design and operate secure, container-based releases using OCI images, runc, and Linux namespaces.
• Build tooling to manage container lifecycles across release environments.
• Contribute to architecture discussions, code reviews, and design documents.
• Improve automation and CI/CD across the deployment pipeline.
• Debug and resolve production issues in distributed cloud systems.
• Collaborate with architecture, platform design, and software teams to develop and integrate hardware, software, and services.

Skills

Software design

Problem solving

Communication

Collaboration

Education

Bachelor's / Master’s in CS or CE

Tools

Kubernetes

Nomad

OCI Images

runc

Linux namespaces

eBPF

Job description

Apple Inc. is seeking a software engineer for the Cloud Engineering team to build and integrate software orchestrating workloads across high-performance, energy-efficient systems powering Apple’s next-generation data centers.

You will partner with cross-functional teams to adapt and scale software on a novel compute platform, driving the foundation of future cloud architectures while leveraging hardware acceleration for ML and HPC workloads.