Network Engineer

VBeyond Corporation

Austin (TX)

On-site

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

VBeyond Corporation seeks an experienced network automation engineer to design, deploy, and run lab networks across AI/HPC datacenters, supporting accelerator teams from bring-up through production handoff.

You will deliver Python-based automation, Jinja2 templating, and configuration-as-code workflows for Arista, Cisco, Juniper NOS, with a focus on multi-vendor reliability, security, and scalable lab operations.

Strong collaboration with platform teams and customers is essential.

Qualifications

  • Experience automating network labs and data center fabrics.
  • Familiarity with lab operations and incident response.
  • Experience with multi-vendor datacenter fabrics across Arista, Cisco, Juniper or SONiC.

Responsibilities

  • Develop automation for datacenter fabric provisioning and testing.
  • Support lab operations and incident response in on-call rotations.
  • Collaborate with platform teams and lab customers to deliver scalable lab services.
  • Lead implementation of intent-driven configuration and change control.

Skills

Python for network automation
Jinja2 templating
Config as code
Intent modeling
Linux networking
Data hygiene

Tools

Arista NOS
Cisco NOS
Juniper NOS
SONiC
API driven operation
Git / Version Control

Job description

You support the networks inside hardware validation labs around the world: the datacenter fabrics, timing, optical, and provisioning systems that let accelerator teams validate new platforms from first bring-up through production handoff. L2/L3 lab fabric design, precision timing as a service, intent based provisioning and automation, optical plus test infrastructure, lab operations and reliability, and cost takeout through decommissioning.

  • L2/L3 at depth: VLANs, loop prevention, LAG, IPv4/IPv6 addressing, SLAAC and router advertisements, DHCP relay and helpers, PXE boot flows end to end.
  • BGP: eBGP peering design, prefix policy, uplink preference tuning, per-rack or per-site route origination toward the border and aggregation layer.
  • Datacenter fabrics: leaf/spine role design, EVPN/VXLAN overlays, migrating racks from L2 bridged to L3 routed boundaries.
  • IPv6 operations: first-hop security (RA guard, address locking), DHCPv6 relay and MAC-stable allocation behavior including client identifier pitfalls, /64 per rack scale planning and fabric design
  • Precision timing: PTP (IEEE 1588) design and troubleshooting, grandmaster placement, boundary and transparent clock concepts, sync quality monitoring against microsecond budgets.
  • Fabrics for AI/HPC: PFC and lossless Ethernet tuning, link training, SerDes and optics basics (current generation high speed optics), awareness of how skew and tail latency hit collective communication.
  • Optical and physical plant: fiber types and connectors, optical circuit switching concepts, commercial traffic generators, cable validation, fiber characterization from hardware
  • Access security: port ACLs, 802.1X/MAB flows, RADIUS, quarantine and remediation VLANs, device onboarding and registration.
  • Multi-vendor fluency: deep on at least one datacenter NOS (Arista, Cisco, Juniper, SONiC) with demonstrated ability to pick up others, including API driven operation with rollback.
  • method of procedure authorship, maintenance windows, rollback planning.
Required: Automation and Software
  • Python for network automation: device APIs, text templating, input validation, operator CLI tooling.
  • Templating: Jinja2 template design (reuse across sites and roles, safe defaults, per-port rendering from inventory).
  • Config as code: distributed revision control fluency (branch, review, land, revert), config review culture, CI gates on generated config (diff review, automated land criteria).
  • Intent modeling: declarative source of truth thinking where inventory plus intent renders device config, and generated config is never hand edited.
  • Linux networking: interfaces, routing tables, namespaces, capture tooling, service
  • Data hygiene: inventory accuracy (roles, port maps, serial to port bindings), drift
Required: Operations and Delivery
  • Lab or datacenter operations: oncall rotations, incident response, break/fix prioritization,
  • Change discipline: method of procedure authorship and peer review, blast radius control, pilot then scale.
  • Cost awareness: circuit inventories, carrier coordination for turn-down, tracking recurring spend to zero with chargeback confirmation.
  • Cross-functional delivery: shared ownership with platform teams (provisioning, observability), hardware bring-up teams, and lab customers, including consultative support outside the plan of record.
Preferred
  • AI/HPC cluster networking: scale-up versus scale-out fabric design, RDMA capable fabrics, collective sensitivity to timing.
  • Large fiber plant or optical switching operations.
  • IPv6-first or IPv6-only environments at scale.
  • Vendor evaluation: switch selection criteria, optics compatibility testing.
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