Network Development Engineer

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Requirements: 7+ years of Network Engineering experience in Cloud Computing environment, Software Defined Networking, CCNP, HPC/AI.

What You’ll be Doing

• Architect robust, high‑throughput data center network fabrics optimized for AI workloads and multi‑tenant cloud environments
• Design and deploy EVPN/VXLAN overlays, L2/L3 switching topologies, and host‑level multi‑networking across bare metal, VMs, and containers; proficient in MLAG switch environments
• Implement BGP, VRFs, and ACLs to enforce network segmentation, tenant isolation, and dynamic security policy frameworks
• Lead end‑to‑end design of advanced GPU interconnect fabrics (e.g., Infiniband, Spectrum‑X, RDMA/RoCEv2, DPUs/Smart NICs) leveraging CLOS/ECMP architectures
• Build and maintain carrier‑grade edge routing systems with BGP‑based peering, automatic failover, and intelligent traffic engineering
• Manage inter‑data center connectivity, routing governance, and resilience strategies across geographically distributed clusters
• Define and implement SDN architectures via Netconf, gNMI, and controller‑based frameworks for dynamic network orchestration

What You Need for this Position

• 5+ years of experience in data center or service provider networking
• Proven expertise across key domains:
  • High‑speed Ethernet architectures (100G, 200G, 400G, 800G)
  • Advanced routing and switching technologies: EVPN/VXLAN, Layer 2/3, BGP, OSPF, VRFs, and QoS
  • High‑performance fabrics for AI/HPC workloads, including Infiniband and RoCEv2
  • Multi‑host networking across bare metal, KVM, and Kubernetes environments
• Experience designing GPU cluster networks with technologies such as NVIDIA UFM, SHARP, and data center fabric best practices
• Proficient with infrastructure automation tools, including Netbox, Netconf, and IaC frameworks like Ansible and Terraform
• Practical knowledge of vendor platforms: Arista EOS, Juniper Junos, and Mellanox/NVIDIA Cumulus and Onyx
• Strong grasp of network telemetry, packet‑level diagnostics, and performance optimization techniques
• Excellent communication and documentation skills, with a collaborative approach to cross‑functional engineering work

Bonus Skills

• Familiarity with AI/ML workload patterns, including model training and inference bottlenecks
• Background in multi‑tenant cloud networking for platform‑as‑a‑service (PaaS) or infrastructure‑as‑a‑service (IaaS) environments
• Certifications such as CCIE, JNCIE, or comparable credentials
• Salary range: $175k - $250k/year DOE
• RSUs
• 401(k) with match
• Comprehensive benefits and more!

Seniority level: Not Applicable

Employment type: Full‑time

Job function: Information Technology

Industries: Staffing and Recruiting

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