Network Solutions Developer

Hierarch Soft Technologies, Inc.
Los Angeles, CA, United States
7 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence C++ (Programming Language) Computer Programming White-Box Testing Python (Programming Language) Automation of Marketing Netconf Network Interface Remote Direct Memory Access Computer Network Operations Sysadmin
+5 more
Juniper Low Latency Palo Alto Networks Model Inference Cisco

Job description

We are seeking a Network Solutions Developer to drive network orchestration and software-driven fabric automation for our high-performance AI inference cloud. In this role, you will develop the software layers and control mechanisms that program, orchestrate, and manage multi-tenant network fabrics at scale.

This is a developer-centric engineering role (not a traditional network operations or sysadmin position) focused on writing automation, APIs, and provisioning pipelines that interface directly with disaggregated switch operating systems and host network interfaces.

You will architect and implement automated EVPN-VXLAN overlays across high-density leaf-spine fabrics, enabling ultra-low-latency, non-blocking interconnects between large-scale accelerator clusters and distributed inference servers.

Requirements

  • The ideal candidate brings proven experience from premier networking vendors, hyperscalers, or specialized GPU cloud operators (such as Cisco, Juniper, Palo Alto Networks, Nebius, or equivalent neocloud environments).
  • You possess deep hands-on expertise with remote white-box switch programmability (utilizing SONiC, open NOS platforms, gNMI/gNOI, NETCONF, or vendor SDKs) and software-defined control planes.
  • You must have demonstrated software development proficiency (Python, Go, or C++) alongside an authoritative understanding of EVPN-VXLAN, MP-BGP, RDMA/RoCEv2, and modern high-throughput fabric architectures.
  • Rather than manually configuring CLI boxes, you will own the end-to-end telemetry, policy enforcement, and programmatic lifecycle of bare-metal switches and server interconnects powering next-generation AI workloads.

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