Senior SRE, Data Platform & Cloud Infrastructure

Apple, Inc.; Cupertino (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple's Data Platform SRE team in Austin seeks an experienced Site Reliability Engineer to help design, build, and operate scalable services across global time zones. You will own reliability, performance, and automation initiatives, participate in on-call rotations, and collaborate with software and infrastructure teams to deliver resilient, observable systems at scale.

The role emphasizes proactive problem solving, incident management, and applying best practices in cloud-native architectures,

Qualifications

• 5+ years experience building, operating and scaling large applications in cloud environments.
• Deep expertise in Kubernetes with hands-on experience on platforms like EKS.
• Proficient coding in Python, Go, or Rust for automation and tooling.
• Solid Linux internals knowledge and understanding of networking fundamentals.
• Experience with object storage (S3) and distributed systems design.

Responsibilities

• Participates in rotating on-call schedule, including occasional weekend coverage.
• Designs, builds, and operates large-scale distributed systems for Apple services.
• Supports global operations across time zones from Cupertino and beyond.
• Leverages a mix of open-source, commercial, and internally developed tools.
• Drives automation and operational efficiency through robust tooling and monitoring.

Skills

Kubernetes

Python

Go

Rust

Linux internals

Networking

S3 storage

EKS

Cloud environments

Job description

Apple's Data Platform SRE team in Austin seeks an experienced Site Reliability Engineer to help design, build, and operate scalable services across global time zones. You will own reliability, performance, and automation initiatives, participate in on-call rotations, and collaborate with software and infrastructure teams to deliver resilient, observable systems at scale.

The role emphasizes proactive problem solving, incident management, and applying best practices in cloud-native architectures,