Nscale
Technology
SeniorFront-EndNetworkEngineer,AIInfrastructureOperations
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optimal for Senior candidates.
“Senior Front-End Network Engineer, AI Infrastructure Operations at Nscale. Skills: Network engineering, Data centre networking, AI networking. Own operational health. Own configuration consistency”
Industry & Context.
Troubleshoot complex network issues; Root cause analysis
On-call rotation
What They're Looking For.
Must Have
5+ years network engineering, 3+ years operating large-scale Ethernet data centre or cloud networks, Deep, hands-on operational experience with high-speed Ethernet fabrics, Proven experience with long-haul circuits and DCI, Experience with storage networking over Ethernet, Proven ability to troubleshoot complex network issues, Proficiency in Python, Go, or shell scripting, Experience working in a 24/7 operational environment
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, Experience operating large-scale DCI / long-haul optical or carrier networks, Background in network observability and telemetry systems, Prior experience in automation-first network operations, Prior experience building internal tooling
What You'll Do.
Own operational health
Own configuration consistency
Own performance tuning of large-scale Ethernet front-end fabrics
Lead diagnosis and resolution of complex network incidents
Drive blameless postmortems
Implement preventative fixes
Partner with SREs to define automation requirements
Partner with SREs to define tooling requirements
Contribute to network provisioning systems
Contribute to network validation systems
Contribute to network monitoring systems
Collaborate with Network Architecture teams
Collaborate with Network Engineering teams
Enforce standards for routing
Enforce standards for congestion management
Enforce standards for firmware baselines
Enforce standards for change safety
Monitor fabric utilisation
Monitor fabric performance
Tune for predictable latency
Tune for predictable throughput
Act as subject matter expert for cross-functional teams
Participate in on-call rotation
How You'll Work.
Team & Collaboration
Cross-functional teams; Network Architecture teams; Network Engineering teams; SREs
Full 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. 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
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