Enter a job title or keyword

Apple Services Engineering (ASE) Compute Software Engineering Manager

Apple


Job Location:

Cupertino, CA - USA

Monthly Salary: Not provided by the employer
Posted: 16 August 2026 (30+ days ago)
Application Deadline: 13 November 2026
Vacancies: 1 Vacancy

Job Summary

People at Apple dont just build products they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple and help us leave the world better than we found Apple Service Engineering (ASE) team builds and provides systems and infrastructure that power Apples services (such as iCloud Apple Music Apple Intelligence and Maps). We are the foundation on which Apples software developers build the products that our customers love. Our services have to scale globally stay highly available and just work. If you love designing engineering and running systems and infrastructure that will help millions of customers then this is the place for you!n

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 Apples 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 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.n

Champion AI-powered tooling and automation to improve incident triage reduce operational toil drive capacity efficiency and accelerate engineering workflowsnLead mentor and grow a team of Software and SRE engineers across multiple geographies fostering a culture of ownership collaboration and continuous improvementnEstablish and maintain a sustainable 24/7 on-call rotation with clear escalation paths severity definitions and response time SLAs across US and UK locationsnOversee release engineering and deployment automation including CI/CD pipelines canary deployments and zero-downtime rollout strategiesnManage infrastructure modernization initiatives including Kubernetes control plane operations database migrations and configuration management evolutionnDrive incident management excellence including post-incident reviews preventive measures and production readiness reviews for all releases

5 years of experience managing infrastructure SRE or platform engineering teams operating large-scale distributed systemsnProven track record of building and leading on-call organizations with structured incident management escalation procedures and post-incident review processesnStrong technical background in cloud infrastructure compute orchestration and bare metal provisioning at scalenExperience with Kubernetes OpenStack KVM/hypervisor technologies and Infrastructure as Code tools (Chef Ansible Terraform or Salt)nDeep understanding of SRE principles including SLOs error budgets capacity planning and release engineeringnExcellent verbal and written communication skills with the ability to influence across teams and levelsnDemonstrated 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 automationnExperience managing or scaling batch compute job scheduling or HPC platformsnProficiency in Go or Python with a strong automation-first mindsetnFamiliarity with observability stacks (Prometheus Grafana distributed tracing) and centralized logging at scalenExperience operating large-scale multi-tenant Infrastructure as a Managed ServicenExperience managing geographically distributed teams and follow-the-sun on-call modelsnTrack record of driving capacity efficiency initiatives resulting in measurable cost optimization

Required Experience:

Manager


About Company

Company Logo

Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more

View Profile View Profile