Senior ML Infrastructure SRE

What you'll do

• Manage Apple’s large-scale ML compute platform and multi-cloud storage abstraction.
• Ensure high availability and resilience of the full infrastructure stack from nodes to network architecture.
• Design, develop, and release production code using Python, Go, or Rust.
• Operate and scale large applications across private, public, and hybrid cloud environments.
• Manage container orchestration and deployment using Kubernetes, Helm, or Flux.
• Troubleshoot complex networking issues and distributed systems architecture in cloud infrastructures.
• Automate manual operations and improve processes through continuous iteration.
• Monitor and support new and existing services, platforms, and application stacks.

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.
• Hands-on experience managing diverse system environments using configuration management tools or platforms such as Spinnaker, Helm, or Flux (preferred).
• Demonstrated expertise in deploying, supporting, and monitoring new and existing services, platforms, and application stacks (preferred).