Network Software Engineer - AI Data Centers

Our client is a fast-growing hyperscale Data Center Operator building infrastructure to support top AI labs and enterprises.

• Make network incidents diagnosable at scale. Create tooling that connects telemetry and diagnostics across switches, routers, NICs, and host-to-network paths. Enable engineers to run commands remotely across the infrastructure and quickly visualize failures, dependencies, and likely causes.
• Create an automated hardware recovery workflow. Build the systems that take an issue from initial detection through troubleshooting, ticket creation, hardware replacement, and restoration of service. The goal is to standardize recovery across data center fabrics, edge infrastructure, and server connectivity without relying on manual coordination.
• Develop the operational visibility layer for a rapidly expanding fleet. Establish the monitoring, alerting, and health-management infrastructure needed to operate multiple large-scale facilities today and a dramatically larger footprint tomorrow. You'll be building core capabilities that don't yet exist.

• Develop software in Go to eliminate repetitive troubleshooting work. This includes automated connectivity checks, fleet-wide remote execution, diagnostic workflows, and tools that make complex network failures easier to understand.
• Build and improve the complete equipment-recovery lifecycle, connecting automated fault detection with service tickets, replacement workflows, component tracking, and final restoration.
• Operate and evolve the monitoring and alerting systems that provide engineers with an accurate, real-time view of infrastructure health across every facility.
• Bring new facilities and network equipment into production by developing and executing validation procedures that establish reliability before systems begin carrying live workloads.

• $225-275k base salary + meaningful equity.