Senior Front-End Network Engineer, AI Infrastructure Operations

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.

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.

About The Role

Within Nscale, the Network Operations team is responsible for the performance and reliability of the high-speed networks that underpin our AI platforms. These front-end networks are critical to inference workloads, cluster management, data movement, and storage connectivity.

We’re looking for a Senior Front End Network Engineer – AI Infrastructure to join our Network Operations team.

In this role, you will be responsible for the day-to-day health, stability, and performance of Nscale’s large-scale Ethernet front-end networks. You’ll bring deep operational expertise from hyperscale or high-performance environments and play a key role in incident response, performance tuning, automation, and continuous improvement of production AI networking systems.

What You'll Be Doing

• Owning the operational health, configuration consistency, and performance tuning of large-scale Ethernet front-end fabrics (leaf-spine / Clos) supporting AI inference, management, and storage workloads
• Leading the diagnosis and resolution of complex network incidents (P0/P1), spanning optics, routing, switching hardware, long-haul circuits, and storage connectivity layers
• Driving blameless postmortems and implementing preventative fixes to improve long-term fabric stability and availability
• Partnering with SREs to define requirements for automation and tooling, and contributing to network provisioning, validation, and monitoring systems
• Collaborating with Network Architecture and Engineering teams to validate designs and enforce standards for routing, congestion management, firmware baselines, and change safety
• Monitoring fabric utilisation and performance, identifying bottlenecks, and tuning for predictable latency and throughput on front-end networks
• Acting as a subject matter expert for cross-functional teams on high-speed Ethernet networking, long-haul/DCI circuits, and storage network integration
• Participating in an on-call rotation supporting mission-critical, customer-facing infrastructure

About You

• 5+ years of experience in network engineering, with at least 3 years operating large-scale Ethernet data centre or cloud networks
• Deep, hands-on operational experience with high-speed Ethernet fabrics in hyperscale or production environments
• Strong expertise with Arista (EOS) and/or Nokia (7220 IXR / 7250 IXR / 7750 SR series) platforms
• Solid understanding of modern data centre networking, including BGP, OSPF, ECMP, EVPN-VXLAN, and leaf-spine architectures
• Proven experience with long-haul circuits and DCI (dark fiber, carrier Ethernet, coherent optics)
• Experience with storage networking over Ethernet and shared storage connectivity
• Proven ability to troubleshoot complex network issues using Linux-based tooling and fabric diagnostics
• Proficiency in Python, Go, or shell scripting for automation, data analysis, or configuration management
• Experience working in a 24/7 operational environment with a strong focus on reliability and toil reduction

Nice to Have

• Extensive hands-on experience with Arista or Nokia platforms at scale
• Deep familiarity with front-end network patterns for large AI clusters (inference traffic, management networks, and storage integration)
• Experience operating large-scale DCI / long-haul optical or carrier networks
• Strong background in network observability and telemetry systems (streaming telemetry, sFlow, Prometheus, Grafana, etc.)
• Prior experience in automation-first network operations or building internal tooling

What We Can Offer You

At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.

• Highly competitive package (base + equity) with reviews every 12 months . 🚀
• Join the fastest-growing tech startup , your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨
• Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
• Human-First Flexibility: We treat you as humans first . 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.

Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.

Equal Opportunities Statement

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.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.

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