Kubernetes Platform Engineer

Hewlett Packard Enterprise • Fort Collins, CO

1d • Hybrid

About The Position

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.

Nice To Haves

• Cloud Architectures
• Cross Domain Knowledge
• Design Thinking
• Development Fundamentals
• DevOps
• Distributed Computing
• Microservices Fluency
• Full Stack Development
• Security-First Mindset
• Solutions Design
• Testing & Automation
• User Experience (UX)

Responsibilities

• Make HPC fabric capabilities consumable from standard containers
• Design the mechanisms to expose RDMA‑capable NIC resources and required runtime components without baking the fabric into images, including mounting/injecting host user‑space libraries (e.g., libcxi + libfabric) in a controlled, supportable way.
• Define the reference design and implement for Kubernetes‑native RDMA enablement across: Dynamic Resource Allocation (DRA) Container Device Interface (CDI) Multus + secondary CNIs Operator‑driven lifecycle management
• Own API and CRD design (ResourceClaims, DeviceClasses, custom CRDs) with long‑term compatibility guarantees.
• Make and defend architectural tradeoffs between: Device plugins vs DRA CDI vs runtime hooks vs admission webhooks Shared vs exclusive NIC models Performance vs operability vs isolation
• Kubernetes Operator Ownership Define how distributed inference patterns (KV‑cache movement, prefill/decode separation) map onto Kubernetes primitives.
• Ensure out-of-the-box compatibility with: NVIDIA NIMs and the NIM Operator KServe ServingRuntime / InferenceService GPU Operator (CDI mode)
• Publish deployment patterns and validated manifests for inference workloads using RDMA fast paths.

Benefits

• Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed