ASE Senior Site Reliability Engineer

** Role Number:*
* ** Summary*
* 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

+ 3+ 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, Java, or 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