Principal AI Infrastructure Engineer, Kubernetes

Job summary

The Principal Kubernetes Engineer for AI Infrastructure is responsible for the technical design and delivery of backend infrastructure for a Kubernetes platform. This role involves building production-grade cluster lifecycle, networking, storage, security, and automation capabilities across GPU-accelerated bare-metal environments, utilizing technologies such as Kubernetes, Go, and various automation tools to ensure a secure and resilient multi-tenant platform.

Qualifications

• Deep knowledge of Kubernetes internals
• Demonstrated experience designing, building, and operating highly available, multi-cluster Kubernetes platforms
• Strong software engineering ability in Go
• Expert Linux systems knowledge
• Strong Kubernetes networking expertise
• Strong infrastructure automation and GitOps experience
• Practical experience with Kubernetes security and governance
• Experience implementing production observability
• Experience with GPU-enabled Kubernetes infrastructure
• Experience with distributed storage and data services

Responsibilities

• Define and own the Kubernetes platform reference architecture
• Build and maintain backend services, APIs, controllers, operators, and automation
• Engineer repeatable bare-metal Kubernetes deployment and lifecycle workflows
• Design and operate cluster networking
• Define persistent-storage and data-service patterns
• Integrate and productionise NVIDIA GPU and Network Operators
• Establish GitOps and CI/CD patterns
• Build platform security into the architecture
• Define service-level objectives and engineer observability
• Set engineering standards, design patterns, review practices, and operational readiness criteria

Skills

Certifications

Degrees

Relocation