Data Center Network Engineer
Designworkstalent
| Company | Designworkstalent |
| Category | Engineering |
| Location | Bellevue |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 21 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
DATA CENTER NETWORK ENGINEER
Location: Hybrid | Bellevue, WA Area
Titles: Staff and Principal (multiple roles 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 Principal 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 Principal-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.
- Build infrastructure automation to simplify deployment, configuration management, monitoring, and operational excellence.
- Define networking standards, architecture documentation, and engineering best practices as the infrastructure organization grows.
- Evaluate emerging networking technologies and help shape the long-term evolution of the company's AI networking platform.
WHAT WE'RE LOOKING FOR
- Significant experience designing, deploying, and operating large-scale data center networks within hyperscale cloud, AI infrastructure, HPC, or enterprise environments.
- Deep expertise across multiple enterprise networking platforms, with demonstrated experience supporting at least two major vendors such as Arista, Juniper, HPE, Cisco, or equivalent technologies.
- Strong understanding of multi-tenant networking, segmentation, tenant isolation, and network security architecture.
- Experience designing highly available, scalable, and automated networking solutions supporting mission-critical production environments.
- Strong automation mindset with experience implementing Infrastructure as Code, network automation, or programmable networking.
- Ability to operate independently in a fast-paced, early-stage environ
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