Network Front-End Engineer, AI Infrastructure Operations

Nscale

New York (NY)

On-site

USD 140,000 - 180,000

Full time

14 days+

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Job summary

Nscale is seeking a Network Engineer to design, deploy, and operate high‑speed Ethernet front‑end networks for our GPU cloud platform in New York. You will collaborate with deployment, architecture, and operations teams on BOMs, optics, cabling, DC layout, and scalable reference architectures to ensure reliable performance.

This role emphasizes automation, multi‑vendor integration, and proactive troubleshooting in a fast‑paced, reliability‑driven environment.

Qualifications

  • Design, deploy, operate high-speed Ethernet networks; VLAN, LACP, MLAG, BGP, OSPF, EVPN, VXLAN.
  • Strong WAN/long-haul knowledge: MPLS, BGP, IPsec, GRE, SD-WAN.
  • Data centre networking topologies and best practices for front-end infrastructure.
  • Scripting in Python or Bash to automate network tasks.
  • Hardware and optics knowledge for BOM design, cabling standards, and troubleshooting.
  • Experience in fast-paced environments with reliability and automation focus.

Responsibilities

  • Designing, deploying, and operating high-speed Ethernet-based front-end networks (data centre fabrics, management networks, inference traffic paths, and storage connectivity).
  • Working with deployment teams to ensure BOMs are correct and fit for purpose, with strong focus on optics, cabling, and hardware selection.
  • Providing input into DC layout, rack elevations, and reference architectures to ensure front-end networks are implemented correctly and scalably.
  • Troubleshooting performance and connectivity issues on Ethernet front-end networks, including routing, optics, and long-haul circuits.
  • Automating the deployment, initial stand-up, and day-to-day operations of multi-vendor Ethernet hardware and platforms.
  • Designing, implementing, and supporting WAN and long-haul infrastructure (including carrier circuits, DCI, and internet transit).
  • Collaborating with Architecture and Operations teams to maintain high reliability, observability, and operational efficiency across front-end networks.

Skills

Ethernet Networking
BGP/OSPF
Data Centre Networking
Automation Scripting
Optics & Cabling

Tools

Arista EOS
Nokia platforms

Job description

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

About the Role (Job Purpose)

The Network Engineering Team is responsible for the design, deployment, and ongoing operation of all front-end networking services that underpin both the internal management platform and the customer-facing cloud infrastructure. This includes high-speed Ethernet data centre fabrics, internet transit, WAN/long-haul connectivity, and data centre networking. The team acts as a 3rd/4th line escalation point for the support organisation.

What You’ll Be Doing (Responsibilities)
  • Designing, deploying, and operating high-speed Ethernet-based front-end networks (data centre fabrics, management networks, inference traffic paths, and storage connectivity)
  • Working with deployment teams to ensure BOMs are correct and fit for purpose, with strong focus on optics, cabling, and hardware selection
  • Providing input into DC layout, rack elevations, and reference architectures to ensure front-end networks are implemented correctly and scalably
  • Troubleshooting performance and connectivity issues on Ethernet front-end networks, including routing, optics, and long-haul circuits
  • Automating the deployment, initial stand-up, and day-to-day operations of multi-vendor Ethernet hardware and platforms
  • Designing, implementing, and supporting WAN and long-haul infrastructure (including carrier circuits, DCI, and internet transit)
  • Collaborating with Architecture and Operations teams to maintain high reliability, observability, and operational efficiency across front-end networks
About You (Skills / Qualifications / Experience)
  • Proven experience in designing, deploying, and operating high-speed Ethernet networks, including technologies such as VLAN, LACP, MLAG, BGP, OSPF, EVPN, and VXLAN
  • Strong knowledge of WAN and long-haul technologies, including MPLS, BGP, IPsec, GRE, SD-WAN, carrier Ethernet, and associated routing protocols
  • Solid understanding of data centre networking topologies and best practices for front-end / infrastructure networks
  • Strong Python or Bash scripting skills for automation and tooling
  • Strong optics and hardware knowledge to assist with BOM design, cabling standards, and troubleshooting
  • Experience working in fast-paced operational environments with a focus on reliability and automation
Nice to Have
  • Hands-on experience with Arista (EOS) and/or Nokia networking platforms
  • Experience with large-scale DCI, long-haul optical transport, or carrier circuit management
  • Familiarity with storage networking over Ethernet and shared storage connectivity
  • Experience with network automation frameworks, validation tooling, or observability platforms (e.g., streaming telemetry, Prometheus, Grafana)
  • Prior exposure to AI or hyperscale infrastructure environments
Equal Opportunities Statement

At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

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