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Senior Front-End Network Engineer, AI Infrastructure OperationsNscale • New York, New York, United States
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Senior Front-End Network Engineer, AI Infrastructure Operations

Nscale
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Apply Now

About

Senior Front-End Network Engineer, AI Infrastructure Operations Houston; New York; San Francisco; Seattle
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.
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.
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  • New York, New York, United States

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  • English
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