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ML Infrastructure Service Reliability Engineer

Apple· ML Infrastructure / Apple Services Engineering
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Hybrid (Bengaluru), CupertinoFull-timePosted 5mo ago

About the role

Site Reliability Engineer (SRE) for the ML Infrastructure team, responsible for maintaining Apple’s large ML compute platform, multi-cloud storage abstraction and caching platform, supporting critical machine learning training workloads across the Apple ecosystem. Focus areas include Kubernetes-based operations, cloud object storage, automation, and end-to-end reliability from low-level nodes to network architecture, ensuring high availability, resilience, and efficiency at scale.

Responsibilities

  • Participates in a rotating on-call schedule, including occasional weekend coverage when necessary
  • Leads design, development, and delivery of infrastructure projects aligned with objectives
  • Automates manual operations to improve efficiency and reliability
  • Deploys, supports, and monitors new and existing services, platforms, and application stacks
  • Fosters open dialogue and constructive technical feedback to drive team growth and continuous improvement

Qualifications

  • 3+ years experience in building, operating and scaling a large application in a private, public or hybrid cloud environment
  • Deep expertise in Kubernetes with hands-on experience using GKE or EKS
  • Proficient in Python, Go, or Rust for designing, developing, and releasing code
  • Practical experience with object storage technologies (Amazon S3 or Google Cloud Storage)
  • Strong background in designing and troubleshooting complex networking in public/private clouds
  • Solid understanding of Linux internals, standard networking protocols, and distributed systems architecture
  • Automation mindset and ability to iterate on processes
  • Experience deploying large-scale distributed applications and managing diverse system environments with configuration management or delivery tools (e.g., Spinnaker, Helm, Flux)
  • Hands-on experience with container orchestration and management using Kubernetes

Skills

Required:KubernetesCloud object storageProgramming languagesNetworkingLinux internalsAutomation

Benefits

  • Accessibility-focused culture
  • Comprehensive benefits and digital tools supporting diverse perspectives
Last updated Oct 23, 2026. Interested? Apply on the company site.

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