Software Engineer, Infrastructure Services (Cloud Network Fault Tolerance)

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.

This is not a traditional network engineering role. This is a software engineering role for builders who love deep technical challenges, have strong fundamentals in distributed systems and fault-tolerant design, and want to turn cutting-edge ideas into production systems running at massive scale. We welcome early-career engineers with exceptional technical depth, if you have the intellectual horsepower and hunger to solve problems that don't have textbook answers yet, we want to talk to you.

You will join a team chartered to make Apple's hyper-scale cloud network dramatically more fault-tolerant by building systems that detect and remediate failures automatically, with minimal or no human intervention. This means designing and building the sensing, decision-making, and remediation layers that allow the network to identify anomalies, localize root cause, and take corrective action in real time.

You'll work on problems like: how do you detect a degrading network path before it causes an outage? How do you safely automate remediation actions on live production infrastructure without introducing new risk? How do you build a system that learns from past incidents to prevent recurrence? These are open, hard problems, and you will be expected to bring rigorous thinking, creativity, and strong engineering execution to solve them.

This role is ideal for someone who loves taking a deep, formal understanding of distributed systems, control theory, graph algorithms, or fault-tolerant design patterns and turning it into resilient, real-world software running in production at enormous scale. You should be comfortable reading research papers and translating relevant ideas into working systems, while also being pragmatic about the constraints of operating in a live, hyper-scale environment.