Kubernetes Platform Engineer - Hybrid AI Inference Networking

Job Description

A global edge-to-cloud technology company based in Colorado is seeking a Kubernetes Platform Engineer who will lead the design of Kubernetes-native, RDMA-class networking for AI inference platforms. The role involves defining and owning various Kubernetes components and ensuring compatibility with advanced technologies like NVIDIA NIMs. Ideal candidates should possess strong skills in Kubernetes and cloud architectures, along with a security-first mindset.

The position is hybrid, offering flexibility with work arrangements, and a competitive salary range is provided based on experience.