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

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The ML Infrastructure team is responsible for managing Apple’s largest ML compute platform, multi-cloud storage abstraction and caching platform, which supports critical machine learning training workloads that power user-facing features across the Apple ecosystem. Operating across both first-party and third-party cloud environments brings complex and unique challenges.

As a Site Reliability Engineer (SRE) on the ML Infrastructure team, you’ll be expected to address these challenges through a strong foundation in cloud object storage, data analysis, automation, collaboration, and advanced expertise in Kubernetes. Our team oversees the full infrastructure stack — from low-level nodes to the complete network architecture — ensuring our platform remains highly available, resilient, and efficient at scale.

Description

We are seeking an experienced Software and Systems Engineer to join our dynamic team. This role demands a proactive mindset, technical excellence, and a collaborative spirit. The ideal candidate will demonstrate: • Strong critical thinking and a high degree of individual accountability • Effective communication and collaboration skills • A genuine passion for Infrastructure as a Service (IaaS) • A commitment to automation and operational efficiency • Ownership of projects from design through delivery • A solutions-oriented approach,

coupled with the ability to gain alignment on technical direction • Consistent and timely execution of design implementations aligned with project objectives • The ability to provide constructive technical feedback, fostering team-wide growth and continuous improvement

Responsibilities

• Participates in a rotating on-call schedule, including occasional weekend coverage when necessary
• Currently headquartered in Cupertino, with active expansion in Bangalore to support global operations across time zones
• Leverages a diverse stack including open-source tools, commercial solutions, and internally developed systems
• Encourages open dialogue, values strong ideas, and recognizes impactful results

Minimum Qualifications

• 5+ 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 platforms such as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service
• (EKS)
• Proficient in designing, developing, and releasing code in languages such as Python, Go, or Rust
• Practical experience with object storage technologies, including Amazon S3 or Google Cloud Storage (GCS)
• Strong background in designing and troubleshooting complex networking issues in both public and private cloud infrastructures
• Solid understanding of Linux internals, standard networking protocols, and distributed systems architecture

Preferred Qualifications

Preferred Qualifications

• Proven drive to automate manual operations and enhance processes through continuous iteration
• Strong understanding of best practices for deploying large-scale, distributed applications
• Hands-on experience managing diverse system environments using configuration management tools or software delivery platforms such as Spinnaker, Helm, or Flux
• Demonstrated expertise in deploying, supporting, and monitoring both new and existing services, platforms, and application stacks
• Solid familiarity with container orchestration and management using
• Kubernetes