Senior Software Engineer - Compute

Apple Service Engineering (ASE)'s Compute team is seeking an experienced SRE software engineer to build and enhance compute infrastructure, ensuring that services scale to meet the demands of Apple's Services offerings. You will work with world-class engineers on core components of Apple's Cloud Platform with an emphasis on VM lifecycle management and bare metal infrastructure to help fit Apple's diverse needs. Ultimately, you will help build the platform that delivers our applications at scale to our end users. This role offers unique opportunities to solve problems through AI-assisted automation, including building and leveraging AI tools to accelerate triage, operational workflows, and infrastructure tooling tailored to SRE workflows and infrastructure operations. Develop and apply AI-powered tooling skills in a production SRE environment Operate, monitor, and triage all aspects of our production and non-production compute environments Design, build and implement innovative solutions around VM orchestration and bare metal provisioning in a highly distributed environment Prepare alert handling procedures, runbooks, and collaborate with other SRE teams Participate in on-call rotations to troubleshoot and resolve production issues, minimizing downtime Automate deployment and orchestration of compute infrastructure as well as other routine processes Interact with and support partner teams, including engineering, QA, and program management Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience. 8+ years in a Site Reliability Engineering Infrastructure focused role. Excellent verbal and written communication skills Automation advocate with a strong sense of ownership - you truly believe in removing operational load via software Strong experience with building and scaling cloud infrastructure and large-scale distributed systems Experience with OpenStack, KVM/hypervisor technologies and Kubernetes Highly proficient in Go or Python Be capable of collaborating and coordinating with multiple distinct engineering teams and mentoring others Experienced with highly distributed unix systems Experience managing, scaling, and troubleshooting at a planet scale Experience operating large-scale multi-tenant Infrastructure as a Managed service Expert-level proficiency with Infrastructure as Code tools like Chef, Ansible, or Terraform

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