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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
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3497 open roles
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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 while ensuring high availability and resilience. Key responsibilities include designing, developing, and releasing code, troubleshooting complex networking issues, and 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 technologies like Amazon S3 or Google Cloud Storage.
What does a Site Reliability Engineer earn in California?
Median $202800 from 62 postings across 16 companies.
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 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 availability.
What we're looking for
5+ years of experience building, operating, and scaling large applications in private, public, or hybrid cloud environments.
Deep expertise in Kubernetes with hands-on experience using platforms such as GKE or EKS.
Proficiency in designing, developing, and releasing code in Python, Go, or Rust.
Practical experience with object storage technologies including 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 configuration management tools or platforms such as Spinnaker, Helm, or Flux (preferred).
Site Reliability Engineering
Python
Go
Java
Kubernetes
Distributed Systems
Linux
Networking
micro-services
Automation
Monitoring
Security
Encryption
Disaster Recovery
Capacity Planning
Site Reliability Engineering
Kubernetes
Python
Go
Java
Linux
Distributed Systems
micro-services
Networking
Security
Encryption
Monitoring
Alerting
Capacity Planning
Disaster Recovery