Kubernetes Platform Engineer

Kubernetes Platform Engineer. This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: We are seeking a Kubernetes Platform Engineer (High‑Performance Networking) to lead Kubernetes‑native, RDMA‑class networking for distributed AI inference platforms on HPC clusters. You will own the end‑to‑end technical design that allows Kubernetes‑orchestrated inference workloads (NVIDIA NIMs, vLLM, TensorRT‑LLM) to transparently consume high‑speed fabrics (e.g., HPE Slingshot/CXI) using Operators, DRA, CDI, Multus/secondary CNI, and Kubernetes networking abstractions—without container rebuilds, privileged pods, or manual tuning. This role is central to transforming a traditionally HPC‑centric fabric into a first‑class Kubernetes resource, aligned with modern AI Factory and inference‑as‑a‑service deployment models.