Data Center Network Engineer
$150,000–$250,000 year
HybridBellevue, Washington, United States
Job Summary
Design, build, and automate data center networking for large-scale GPU clusters, AI workloads, and multi-tenant cloud services. Develop secure tenant isolation architectures and resilient, highly available network designs across compute, storage, and infrastructure services. Operate within a multi-vendor environment including Arista, Juniper, and HPE while partnering with hardware, infrastructure, and platform teams to optimize performance for AI training and inference. Establish networking standards, documentation, and automation frameworks to drive operational excellence. This greenfield opportunity allows you to define the long-term architecture for a next-generation AI infrastructure platform, working closely with engineering teams to support the full lifecycle of artificial intelligence workloads.
Required Qualifications
- 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 environment where architecture, standards, and processes are being built from the ground up
- U.S. work authorization
- Hybrid role based in the Bellevue, WA area
- Approximately three days per week in the office
- Candidates elsewhere in the U.S. who are open to relocation
Desired Qualifications
- Experience supporting GPU clusters, AI infrastructure, high-performance computing (HPC), or large-scale distributed compute environments
- Experience with high-bandwidth, low-latency networking technologies such as InfiniBand, RoCE, RDMA, or equivalent fabrics supporting AI workloads
- 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 modern software-defined networking principles
- Experience with network observability, telemetry, and automation frameworks
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