CyberCoders
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AI Cloud Network Architect
role at
CyberCoders .
We are a post‑IPO, publicly traded company focused on AI and high‑performance computing infrastructure, founded in 2017 and experiencing rapid growth.
Role Overview We’re looking for a fully remote Network Engineer to spearhead the development of high‑performance, scalable networking infrastructure tailored for AI‑driven cloud environments. This role centers on architecting and fine‑tuning network solutions across geographically distributed data centers, enabling support for AI workloads across bare metal, virtual machines, and containerized platforms—from initial training to fine‑tuning and inference stages.
Responsibilities
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
Qualifications
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
$175k - $250k/year + BONUS!
RSUs
401k with match
Comprehensive benefits and more!
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AI Cloud Network Architect
role at
CyberCoders .
We are a post‑IPO, publicly traded company focused on AI and high‑performance computing infrastructure, founded in 2017 and experiencing rapid growth.
Role Overview We’re looking for a fully remote Network Engineer to spearhead the development of high‑performance, scalable networking infrastructure tailored for AI‑driven cloud environments. This role centers on architecting and fine‑tuning network solutions across geographically distributed data centers, enabling support for AI workloads across bare metal, virtual machines, and containerized platforms—from initial training to fine‑tuning and inference stages.
Responsibilities
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
Qualifications
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
$175k - $250k/year + BONUS!
RSUs
401k with match
Comprehensive benefits and more!
#J-18808-Ljbffr