About the role

What will you do at Apple?

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, Ray, Notebooks, and LLM-based agent platforms

reliable at scale across AWS, GCP, and on-premise Kubernetes.

DESCRIPTION

This is a rare opportunity to build deep expertise across one of the most

technically diverse platforms at Apple — while specialising in the cloud

infrastructure that underpins all of it. As an SRE on Apple Data Platform,

you'll operate and support the team's full portfolio, from big data pipelines to

ML/AI platform services, and grow into the team's go-to expert for multi-cloud

infrastructure — including AWS core services (IAM, EKS, RDS, S3, VPC networking,

autoscaling, EBS), Kubernetes administration at scale, and the

Infrastructure-as-Code and GitOps tooling that keeps it all reconciled and

reliable. You'll be the person other engineers turn to when an IAM policy

misfires, a cluster hits a scheduling wall, or a GitOps reconciliation drifts

out of sync — and the driving force behind making those failure modes rarer over

time. 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 going deep on cloud and

Kubernetes internals, enjoy being the trusted expert customers turn to, and want

a front-row seat to Apple Data Platform's multi-cloud evolution, this role

offers real room to grow your scope and impact over time.

MINIMUM QUALIFICATIONS

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. Strong hands-on AWS experience: IAM
(roles, policies, permission boundaries, KMS), EKS, RDS, S3, VPC
networking/endpoints, autoscaling groups, EBS. Kubernetes administration
experience — RBAC, node/pod scheduling, autoscalers, PriorityClasses/PDBs, and
troubleshooting cluster-wide disruptions. Strong communication skills and
composure under pressure during incidents. Solid grounding in SRE principles,
with prior on-call or production-support experience.
PREFERRED QUALIFICATIONS
Experience with Infrastructure-as-Code (Crossplane and/or Terraform), including
debugging state drift and composition/controller issues. Experience with GitOps
workflows (Flux or similar) — HelmRepository/reconciliation troubleshooting and
Helm chart deployment. Multi-cloud exposure (GCP) — parity and migration
scenarios are emerging areas of focus. Experience with Splunk for log pipeline
debugging (e.g., fluent-bit). Familiarity with Spark/Flink running on Kubernetes
(executor scheduling, node affinity). Comfort with GitHub PR review workflows in
an infrastructure-as-code / GitOps context. 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.

Which skills does this role require?

PythonGolangVPC NetworkingSite Reliability EngineeringDevOpsAirflowRayLLMAutomationIncident ResponseData PlatformMachine LearningAINode.jsGoLLMsProduct Strategy

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