Site Reliability Engineer- Data Virtualization Infrastructure

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The Data Virtualization Infrastructure (DVI) team is responsible for managing Apple’s largest 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 DVI 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

Genuine passion for Infrastructure as a Service (IaaS)

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

Ability to provide constructive technical feedback, fostering team-wide growth and continuous improvement

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

Minimum Qualifications
4 - 12 years of 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","internalDetails":null,"eeoContent":null