Site Reliability Engineer, Apple Data Platform / Multi-Cloud Infrastructure

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, Ray, Notebooks, and LLM-based agent platforms reliable at scale across AWS, GCP, and on-premise Kubernetes.

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, youll operate and support the teams full portfolio, from big data pipelines to ML/AI platform services, and grow into the teams 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. Youll 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.

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 going deep on cloud and Kubernetes internals, enjoy being the trusted expert customers turn to, and want a front-row seat to Apple Data Platforms multi-cloud evolution, this role offers real room to grow your scope and impact over time. Operate, monitor, and triage production and non-production environments across the ADP portfolio - data processing, ML/AI, and multi-cloud infrastructure. Participate in a rotating on-call schedule across supported services, including occasional weekday and weekend coverage. Own the operational health of multi-cloud infrastructure as SME - driving reliability, support, and customer guidance for AWS services, EKS clusters, and cross-cloud networking. Provide Slack-based support to internal customers; screen, triage, and resolve service related issues. Debug production incidents involving IAM permission errors, storage quota limits, control-plane/data-plane namespace separation, and cluster-wide disruptions. Partner with dev teams across time zones to onboard new services - understanding architecture, then designing monitoring, alerting, and dashboards (Prometheus, Grafana, Splunk). Maintain and evolve Infrastructure-as-Code (Crossplane, Terraform) and GitOps (Flux) workflows, troubleshooting state drift and reconciliation issues. Build automation and self-healing tooling that reduces manual toil and scales the teams operational capacity. Identify, escalate, and resolve production issues to protect platform reliability and customer experience. Collaborate with SRE and dev partner teams, engineering, and program management to align execution with team and org goals. Minimum Qualifications

• Bachelors 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. 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.