[Remote] Network Engineer
Note: The job is a remote job and is open to candidates in USA. CyberCoders is a rapidly growing company focused on AI and High Performance Computing Infrastructure. They are seeking a fully remote Network Engineer to develop high-performance, scalable networking infrastructure tailored for AI-driven cloud environments, collaborating with cross-functional teams to optimize systems for next-generation AI clusters.
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
Skills
- 7+ years of Network Engineering experience in Cloud Computing environment
- Software Defined Networking
- CCNP
- HPC/AI
- 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
- Familiarity with AI/ML workload patterns, including model training and inference bottlenecks
- Experience developing or integrating SDN controllers using Python
- 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
Benefits
- RSU's
- 5 weeks PTO
- 401k w/ match
- Comprehensive benefits and MORE!
Company Overview