Job description

Apple Service Engineering (ASE)'s Compute team is seeking an experienced Software Engineering Manager to lead a team of Infrastructure and Site Reliability Engineers responsible for operating and scaling large-scale batch compute infrastructure across Apple's data centers. You will manage a team that operates core compute controllers, proxy services, job execution agents, and supporting infrastructure across multiple geographies — ensuring platform availability, reliability, and performance at Apple scale. You will drive strategic initiatives spanning multi-datacenter capacity planning, incident management, release engineering, observability, and infrastructure modernization. This role requires a leader who can balance operational excellence with engineering innovation, establishing SLOs, driving production readiness, and building the automation and tooling that enable a growing platform to scale efficiently. You will champion the use of AI to accelerate incident triage, improve operational workflows, drive capacity efficiency, and enhance team productivity across all domains. 5+ years of experience managing infrastructure, SRE, or platform engineering teams operating large-scale distributed systems Proven track record of building and leading on-call organizations with structured incident management, escalation procedures, and post-incident review processes Strong technical background in cloud infrastructure, compute orchestration, and bare metal provisioning at scale Experience with Kubernetes, OpenStack, KVM/hypervisor technologies, and Infrastructure as Code tools (Chef, Ansible, Terraform, or Salt) Deep understanding of SRE principles including SLOs, error budgets, capacity planning, and release engineering Excellent verbal and written communication skills with the ability to influence across teams and levels Demonstrated ability to recruit, develop, and retain high-performing engineering talent Hands-on experience leveraging AI and machine learning to improve operational efficiency, incident management, or infrastructure automation Experience managing or scaling batch compute, job scheduling, or HPC platforms Proficiency in Go or Python with a strong automation-first mindset Familiarity with observability stacks (Prometheus, Grafana, distributed tracing) and centralized logging at scale Experience operating large-scale multi-tenant Infrastructure as a Managed Service Experience managing geographically distributed teams and follow-the-sun on-call models Track record of driving capacity efficiency initiatives resulting in measurable cost optimization

Requirements

Must-haves

5+ years of experience managing infrastructure, SRE, or platform engineering teams operating large-scale distributed systems
Proven track record of building and leading on-call organizations with structured incident management, escalation procedures, and post-incident review processes
Strong technical background in cloud infrastructure, compute orchestration, and bare metal provisioning at scale
Experience with Kubernetes, OpenStack, KVM/hypervisor technologies, and Infrastructure as Code tools (Chef, Ansible, Terraform, or Salt)
Deep understanding of SRE principles including SLOs, error budgets, capacity planning, and release engineering
Excellent verbal and written communication skills with the ability to influence across teams and levels
Demonstrated ability to recruit, develop, and retain high-performing engineering talent
Hands-on experience leveraging AI and machine learning to improve operational efficiency, incident management, or infrastructure automation
Experience managing or scaling batch compute, job scheduling, or HPC platforms
Proficiency in Go or Python with a strong automation-first mindset
Familiarity with observability stacks (Prometheus, Grafana, distributed tracing) and centralized logging at scale
Experience operating large-scale multi-tenant Infrastructure as a Managed Service
Experience managing geographically distributed teams and follow-the-sun on-call models
Track record of driving capacity efficiency initiatives resulting in measurable cost optimization

Nice-to-haves

None flagged.

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Keywords to mirror

aikubernetesmachine learninggopython

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

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