Service Reliability Engineer

Job Summary

The Apple Services Engineering team (ASE) is one of the most exciting examples of Apples 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 - at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success - running incident response, providing hands-on support to internal teams, and partnering with developers to make cutting-edge services like Spark, Flink, Airflow, Trino, Druid, Notebooks, and LLM-based agent platforms reliable at scale.

Role Overview

This is a rare opportunity to build deep expertise across one of the most technically diverse platforms at Apple - while specialising in the big data engines and catalog/governance layers that power analytics and data engineering across the company. As an SRE on Apple Data Platform, youll operate and support the teams full portfolio, from ML/AI platform services to multi-cloud infrastructure, and grow into the teams go-to expert for big data platform services - including Spark, Flink, Airflow, Trino, Notebooks, REST Catalog services (such as Glue Catalog), and data governance. Just as importantly, youll be a first point of contact for the internal customers who rely on these services daily - someone who can translate a confusing error or a vague support request into a clear diagnosis and a fast resolution. Were looking for a self-motivated engineer who thrives on ownership - someone who wants a set of services to call their own, the autonomy to drive their reliability roadmap, and the collaborative instinct to keep that work aligned with the teams broader direction. If you love solving hard operational problems, take genuine satisfaction in helping frustrated customers get unblocked, and want a front-row seat to how Apples data engineering platform scales, this role offers real room to grow your scope and impact over time.

Responsibilities

• Operate with a customer-centric mindset to screen, monitor, and triage production and non-production environments encompassing data processing, ML/AI, and multi-cloud infrastructure.
• Participate in a rotating on-call schedule across supported services, including occasional weekday and weekend coverage.
• Serve as a primary point of contact for internal customers seeking technical resolution - clearly communicating status, root cause, and next steps during active issues.
• Own the operational health of big data platform services as SME - driving reliability, support, and customer guidance.
• Partner with dev teams across time zones to own the customer experience for services - understanding architecture and establishing the observability benchmarks
• Build automation and self-healing tooling that reduce manual toil and scales the teams operational capacity.
• Identify, escalate, and resolve production issues to protect platform reliability and customer experience.
• Champion customer success by helping internal teams understand platform capabilities and adopt tools effectively.
• Collaborate with SRE and dev partner teams, engineering, and program management to align execution with team and org goals.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.