Site Reliability Engineer, Apple Data Platform / Big Data Platform

The Apple Services Engineering team (ASE) 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 — 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, Notebooks, and LLM-based agent platforms

reliable at scale.

DESCRIPTION

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, you'll operate and support

the team's full portfolio, from ML/AI platform services to multi-cloud

infrastructure, and grow into the team's 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,

you'll 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. We're 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 team's 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 Apple's data engineering platform scales, this role offers real room

to grow your scope and impact over time.

MINIMUM QUALIFICATIONS

Bachelor's Degree in Computer Science, an engineering-related field, or

equivalent related experience. 1-4 years in a Site Reliability Engineering,

DevOps, or Infrastructure-focused role. Proficient in Python; working knowledge

of Golang a plus. Deep understanding of one or more Big Data technologies

(Spark, Flink, Airflow, Trino, Notebooks). Experience with Kubernetes and at

least one major cloud provider (AWS or GCP). Excellent written and verbal

communication skills, with the ability to explain technical issues clearly to

non-expert customers. Solid grounding in SRE principles, with prior on-call,

production-support, or customer-facing support role experience.

PREFERRED QUALIFICATIONS

Experience with REST Catalog services (e.g., Glue Catalog) and data governance

frameworks. Prior experience in a customer-facing or technical support role,

with a demonstrated passion for customer success. Familiarity with observability

tooling: Prometheus, Grafana, Splunk, PagerDuty. Working knowledge of CI/CD

pipelines and deployment workflows. Experience with S3 and cloud

storage/networking fundamentals. Familiarity with data pipeline orchestration

and workflow scheduling patterns. A track record of automating manual operations

through scripting or tooling. Intellectual curiosity and a drive to keep

learning — for yourself, your team, and the org.