Senior Site Reliability Engineer, Apple Data Platform SRE / Apple Services Engineering

Apple Inc

Confirmed live yesterday Low trust

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Work type
On-site
Location
Cupertino, CABangalore, Karnataka, India
Posted
89 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $211k
$153k $277k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $179,837–$241,750.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3544 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2734 roles with salary data.

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TL;DR · Senior Site Reliability Engineer, Apple Data Platform SRE / Apple Services Engineering

The Senior Site Reliability Engineer, Apple Data Platform SRE / Apple Services Engineering joins the ML Infrastructure team to manage the company's largest machine learning compute platform. This role involves overseeing the full infrastructure stack, from low-level nodes to complete network architecture, to support critical machine learning training workloads across first-party and third-party cloud environments. You will build and operate multi-cloud storage abstractions and caching platforms, ensuring high availability and resilience. Key responsibilities include designing, developing, and releasing code while automating manual operations. Required technical skills include deep expertise in Kubernetes, experience with GKE or EKS, and proficiency in Python, Go, or Rust. You must also possess practical experience with object storage like Amazon S3 or Google Cloud Storage, Linux internals, and distributed systems architecture.

What does a Site Reliability Engineer earn in California?

Median $202800 from 65 postings across 18 companies.

See salary data

What you'll do

  • Manage Apple’s largest ML compute platform and multi-cloud storage abstraction.
  • Oversee the full infrastructure stack from low-level nodes to complete network architecture.
  • Design, develop, and release production code using Python, Go, or Rust.
  • Deploy, support, and monitor large-scale distributed applications and containerized services.
  • Automate manual operations and enhance processes through continuous iteration.
  • Troubleshoot complex networking issues in both public and private cloud infrastructures.
  • Participate in a rotating on-call schedule to ensure platform high availability.

What we're looking for

  • 5+ years experience building, operating, and scaling large applications in private, public, or hybrid cloud environments.
  • Deep expertise in Kubernetes with hands-on experience using platforms like GKE or EKS.
  • Proficiency in designing, developing, and releasing code in Python, Go, or Rust.
  • Practical experience with object storage technologies such as Amazon S3 or Google Cloud Storage.
  • Strong background in designing and troubleshooting complex networking issues in public and private cloud infrastructures.
  • Solid understanding of Linux internals, standard networking protocols, and distributed systems architecture.
  • Proven drive to automate manual operations and enhance processes through continuous iteration (preferred).
  • Hands-on experience managing diverse system environments using tools such as Spinnaker, Helm, or Flux (preferred).

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