Network Front-End Engineer, AI Infrastructure Operations

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., * 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

Do you have experience in Hardware support?, * 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, * 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

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.

At Nscale, our Engineering team plays a critical role in driving the deployment and subsequent management of our infrastructure and software platforms.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future., 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.