Job Description

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization.
IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.”

Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

Infrastructure Services is part of IS&T and the foundation of Apple's global network operations — managing data center equipment and systems to deliver compute, storage, and networking services for teams across Apple, including its internal developer community. From individual facilities to a worldwide network, Infrastructure Services ensures the technology underneath everything works without question.

We are seeking a Senior DevOps Engineer with deep expertise in cloud infrastructure, Kubernetes, and platform operations, combined with a forward-looking mindset in AI-driven automation. This role partners closely with the Senior DevOps Engineering Manager to scale and modernize our cloud platform, improve operational excellence, and embed intelligent automation across DevOps workflows.

Preferred Qualifications

10+ years experience in DevOps, SRE, or Platform Engineering roles.
Experience with AI/ML or LLM-based automation in DevOps workflows.
Familiarity with orchestration frameworks such as LangChain or LangGraph.
Experience building Kubernetes operators or controllers.
Background in platform engineering or internal developer platforms.

Minimum Qualifications

Strong experience in DevOps, SRE, or Platform Engineering roles.
Deep hands-on experience with Kubernetes in production at scale.
Strong expertise in AWS (Azure or GCP experience also valued).
Proficiency in Golang for building infrastructure and automation tools.
Strong understanding of CI/CD systems and pipeline design.
Strong understanding of distributed systems and microservices architectures.
Proven experience in production operations and incident management.
Experience building or maintaining observability platforms.