Staff Data Center Network Engineer
Staff-level data center network engineer who designs, automates, and operates the network powering a multi-tenant AI cloud platform — GPU clusters, tenant isolation, and high-performance connectivity. Hybrid (~3 days/week) in Bellevue, WA, working across Arista, Juniper, HPE, and similar platforms with network automation/IaC.
- Compensation
- Not disclosed
- Location
- Bellevue
- Work setup
- Hybrid
- Seniority
- Staff
- Employment
- Not specified
- Experience
- Not specified
- Category
- Network engineering
- Posted
Skills
Must have
- Significant experience designing, deploying, and operating large-scale data center networks in hyperscale cloud, AI infrastructure, HPC, or enterprise environments
- Deep expertise across multiple enterprise networking platforms, with experience supporting at least two major vendors such as Arista, Juniper, HPE, Cisco, or equivalent
- Strong understanding of multi-tenant networking, segmentation, tenant isolation, and network security architecture
- Experience designing highly available, scalable, and automated networking for mission-critical production environments
- Strong automation mindset with experience in Infrastructure as Code, network automation, or programmable networking
- Ability to operate independently in a fast-paced, early-stage environment
- U.S. work authorization required
Nice to have
- Experience supporting GPU clusters, AI infrastructure, HPC, or large-scale distributed compute environments
- Experience with high-bandwidth, low-latency networking such as InfiniBand, RoCE, RDMA, or equivalent fabrics
- Experience building networking platforms for hyperscale cloud providers, AI infrastructure companies, or cloud-native platforms
- Familiarity with EVPN/VXLAN, Spine-Leaf architectures, BGP, Clos networking, and software-defined networking principles
- Experience with network observability, telemetry, and automation frameworks
Full description
Staff Data Center Network EngineerLocation: Hybrid | Bellevue, WA Area
Titles: Staff and Principal roles also available
Build the Network Foundation for Next-Generation AI Infrastructure
About the Opportunity
A well-funded, rapidly growing AI infrastructure company is building a next-generation cloud platform designed to power the full lifecycle of artificial intelligence. The organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads, including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications.
Backed by significant long-term investment, the company combines the speed, ownership, and innovation of a startup with the stability and resources of an established parent organization. Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern automation and tooling to build world-class infrastructure capable of supporting the industry's most demanding AI workloads.
We're seeking a Staff Data Center Network Engineer to architect and build the networking foundation for a multi-tenant AI cloud platform. This is a greenfield opportunity to define the network architecture supporting GPU clusters, tenant isolation, security, and high-performance connectivity across next-generation AI infrastructure.
The Opportunity
As one of the earliest networking engineers on the infrastructure team, you'll own the design, automation, and evolution of the data center network that powers a rapidly expanding AI platform. You'll work across a multi-vendor networking environment, partnering closely with infrastructure, hardware, platform, and cloud engineering teams to deliver secure, resilient, and high-performance networking at scale.
This is a highly visible Staff-level individual contributor role offering significant technical ownership and influence over the long-term networking strategy of the organization.
What You'll Do
- Design, build, automate, and operate data center networking supporting large-scale GPU clusters, AI workloads, and multi-tenant cloud services.
- Develop secure tenant isolation architectures that ensure performance, scalability, and security across customer environments.
- Design resilient, highly available network architectures across compute, storage, and infrastructure services.
- Work across multiple networking platforms and vendors, including technologies from Arista, Juniper, HPE, and other enterprise networking providers.
- Partner closely with hardware, infrastructure, virtualization, and platform engineering teams to optimize networking for AI training and inference workloads.