ASE Senior Site Reliability Engineer

The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple's unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, forward-thinking, and cross-functional, offering greater exposure to the array of opportunities here.

Description

As an SRE, your mission is to ensure these services are always available, performant, and ready for growth. You will solve complex problems at scale, develop deep troubleshooting expertise, and keep a relentless focus on availability, latency, performance, and capacity. You will drive a culture of operational excellence by replacing toil with automation and by building systems that are resilient by design.

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

5+ years of experience designing, analyzing, and troubleshooting large-scale distributed systems

2+ years of experience leading technical projects and providing engineering leadership

Strong programming or scripting skills (e.g., Python, Go, or Java, and shell scripting)

Preferred Qualifications

Master's degree in Computer Science or Engineering

Experience with observability tooling, SLOs/SLIs, and capacity planning at scale

Familiarity with cloud infrastructure, container orchestration (e.g., Kubernetes), and CI/CD pipelines

Proven track record of driving automation to reduce operational toil in high-traffic production environments