This role is for a hands-on technical leader focused on building cloud-native ML infrastructure at Apple. The AI, Search & Knowledge Platform Cloud Infrastructure Team is responsible for designing and scaling systems that support Search and machine learning workloads. The position requires deep expertise in Kubernetes, Crossplane, and programming languages like Golang and Python. The successful candidate will work on creating intelligent, automated infrastructure for ML training and inference at scale.

• BS/MS in Computer Science or equivalent practical experience.
• 5+ years of experience in leading distributed systems or cloud infrastructure engineering.
• Strong programming experience in Golang and Python.
• Deep understanding of Kubernetes internals and Crossplane composition frameworks.
• Experience with ArgoCD, Helm, and Infrastructure as Code tools like Terraform.
• Proven ability to design and operate infrastructure for ML training and inference.
• 9+ years in cloud infrastructure, SRE, or distributed systems roles.
• Contributions to CNCF open-source projects.
• Strong understanding of observability and distributed tracing.

• Architect systems that are declarative, self-managing, and highly performant.
• Develop Model Context Protocol (MCP)-based infrastructure servers.
• Collaborate across ML engineering, SRE, and platform teams.
• Deliver infrastructure that adapts intelligently to application needs.
• Optimize infrastructure for cost and performance.
• Accelerate the development of ML training and inference pipelines.
• Lead technical teams and drive architectural decisions.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.