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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Network Engineer - **Company:** Everforth CyberCoders - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $175,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Border Gateway Protocol, Common Lisp Object Systems, Cloud Computing, Cloud Foundry, Computer Networks, Data Centers, Distributed Data Store, Ethernet, Network Interface Controllers, Infrastructure as a Service (IaaS), InfiniBand, Junos, Python (Programming Language), Kernel-Based Virtual Machine, Netconf, Routing, Network Segmentation, Open Shortest Path First (OSPF), OnyX for Mac, Performance Tuning, Remote Direct Memory Access, Ansible, Systems Integration, User-Centered Design, Virtual Machines, Graphics Processing Unit (GPU), High Performance Computing, Juniper, Data Center Networking, Kubernetes, Infrastructure Automation Frameworks, Low Latency, Bare Metal, Terraform - **Published:** June 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e3c7f44d596a4b32 ## About the Role Do you have experience in Tooling?, Requirements: 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 BONUS SKILLS: * 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 ## Description We're currently looking to hire 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. In this role, you'll collaborate cross-functionally with infrastructure, GPU, and platform engineering teams to deliver ultra-low latency and high-throughput systems optimized for next-generation AI clusters. 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 ## Related Videos - [Embracing the Hybrid Cloud: Unlocking Success with Ansible](https://www.wearedevelopers.com/videos/932-embracing-the-hybrid-cloud-unlocking-success-with-ansible) - [Dev & Test in the Cloud? 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