Senior Network Architect
Listed on 2026-06-19
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IT/Tech
Network Engineer, IT Infrastructure, Systems Engineer, Cloud Computing: Infrastructure & Operations
Senior Network Architect AI Infrastructure & Data Center Networks
Location: Santa Clara, CA (Hybrid 4 Days Onsite)
Job Type: Contract
STAFFXPERT LLC is seeking a Senior Network Architect AI Infrastructure & Data Center Networks on behalf of our client in Santa Clara, CA.
We are seeking a highly experienced and technically accomplished Senior Network Architect to lead the design, architecture, and evolution of large‑scale AI/ML, data center, and backbone network infrastructure. This role is ideal for an expert in high‑performance networking who thrives in hyperscale environments and has a strong background in cloud‑scale infrastructure supporting AI workloads.
The ideal candidate will bring deep expertise in high‑capacity WAN architectures, EVPN/VXLAN fabrics, network automation, and low‑latency networking technologies designed for AI training and GPU‑intensive environments.
Key Responsibilities- Design and architect large‑scale AI/ML data center networks and high‑capacity WAN infrastructure.
- Lead deployment and optimization of EVPN/VXLAN fabrics supporting GPU clusters and AI training environments.
- Drive initiatives focused on network scalability, reliability, performance, and automation across enterprise‑scale infrastructure.
- Design and optimize low‑latency, high‑throughput networks supporting RDMA/RoCE workloads.
- Develop and implement network automation solutions using Python, Ansible, Terraform/Open Tofu, and CI/CD methodologies.
- Define network standards, operational frameworks, observability practices, and reliability engineering processes.
- Collaborate closely with infrastructure, cloud, systems, and AI engineering teams on strategic architecture initiatives.
- Lead troubleshooting, performance tuning, and optimization efforts for large‑scale production networks.
- Provide technical mentorship, contribute to architecture reviews, and support engineering best practices.
- 15+ years of experience in Network Architecture, Network Engineering, or Network Reliability Engineering.
- Deep expertise in BGP, OSPF, IS‑IS, MPLS, EVPN/VXLAN, Data Center Networking, WAN and Backbone Architecture, AI/ML Infrastructure Networking, Network Performance and Capacity Planning.
- Strong hands‑on experience with multi‑vendor networking environments, including Juniper, Arista, and Cisco technologies.
- Experience with Linux systems administration and infrastructure automation.
- Strong scripting/programming skills in Python, Go, Bash, or similar languages.
- Hands‑on experience with Infrastructure‑as‑Code tools such as Ansible, Terraform/Open Tofu, or Pulumi.
- Proven ability to design and support highly available, scalable cloud and data center networks.
- Experience supporting AI training clusters, GPU fabrics, or HPC environments.
- Knowledge of PTP, RDMA, RoCEv2, and low‑latency networking technologies.
- Experience with network observability platforms such as Kentik, Thousand Eyes, Zabbix, Nagios, or equivalent monitoring solutions.
- Exposure to AWS, GCP, and hybrid cloud networking architectures.
- Experience leading architecture reviews and cross‑functional infrastructure programs.
- Experience operating within large‑scale hyperscaler environments.
- Participation in industry organizations or technical communities focused on networking and infrastructure.
- Background supporting multi‑terabit AI, research, or high‑performance infrastructure environments.
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