Are you an open-source contributor passionate about building the next generation of cloud-native ML infrastructure? We’re looking for a hands-on technical leader with deep expertise in Kubernetes, Crossplane, Golang/Python, and agentic workflows to design and scale the platforms that power Apple’s Search and ML infrastructure ecosystems. If you’ve contributed to CNCF projects such as Kubernetes, Crossplane, or ArgoCD—and you’re driven to build intelligent, automated infrastructure for ML training and inference at massive scale—this role is for you. You’ll architect systems that are declarative, self-managing, and highly performant, enabling seamless ML experiences for billions of users.

Architect and develop cloud-native, agentic infrastructure platforms supporting ML training, inference, and large-scale distributed systems.

Lead and mentor engineers building Crossplane-based control planes, Kubernetes operators, and ArgoCD-driven GitOps automation.

Design, implement, and optimize MCP-based infrastructure servers that contextualize and manage infrastructure and application state across environments.

Contribute to CNCF open-source projects and represent Apple in the cloud-native community.

Implement observability, governance, and automation frameworks to ensure performance, reliability, security, and compliance.

Integrate agentic orchestration workflows for self-service provisioning, ML pipeline management, and dynamic infrastructure scaling.

Drive best practices for GitOps, Infrastructure-as-Code, and Kubernetes cluster lifecycle automation at global scale.

Ensure systems are resilient, cost-efficient, and optimized for performance across on-prem and multi-cloud environments.