CyberCoders
AI Cloud Network Architect – CyberCoders – Remote
Be the AI Cloud Network Architect at CyberCoders, a post‑IPO public company driving AI and high‑performance computing infrastructure. This fully remote role supports AI‑driven cloud environments across a global, high‑throughput network fabric.
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 (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
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 PaaS or IaaS environments.
Certifications such as CCIE, JNCIE, or comparable credentials.
RSUs, 401k match, and a comprehensive benefits package.
Compensation $175k – $250k/year + bonus, RSUs, 401k match, and comprehensive benefits.
Employment Type Full‑time, Remote
Application Apply through CyberCoders; references increase your chances of interview.
#J-18808-Ljbffr
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 (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
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 PaaS or IaaS environments.
Certifications such as CCIE, JNCIE, or comparable credentials.
RSUs, 401k match, and a comprehensive benefits package.
Compensation $175k – $250k/year + bonus, RSUs, 401k match, and comprehensive benefits.
Employment Type Full‑time, Remote
Application Apply through CyberCoders; references increase your chances of interview.
#J-18808-Ljbffr