Fluidstack

Software Engineer, Networking

Fluidstack
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9 hours ago
London, United Kingdom +3 moreSenior
H1B sponsor

Base Salary

$173k - $279k/yr

Responsibilities

  • Own network fleet health end to end by defining real-time monitoring requirements, alerting lifecycles, and health dashboards across all sites.
  • Build active debugging tools including link diagnostics, fleet-wide remote command execution, and repair visualization.
  • Automate network repair workflows from fault detection through ticket integration, parts management, transceiver and optics tracking, and return to service.
  • Develop network qualification and validation frameworks for new sites and hardware before production deployment.
  • Own the reliability, scalability, operations, and incident discipline of a large-scale datacenter network.

Requirements

  • Experience shipping production network tooling or automation used by other teams.
  • Experience developing automation tools in Go and Python.
  • Experience with link diagnostics, optical networks, and network monitoring using gNMI, gRPC, NETCONF, and SONiC.
  • Ability to understand and distinguish how transceiver faults, route misconfigurations, and power events propagate through systems.
  • Comfort with pager duty, incident leadership, postmortems, and addressing systemic causes.
  • Fluency with AI tooling including LLM APIs, MCP servers, agentic frameworks, Claude Code, Cursor, or similar tools.
  • Bonus experience with RMA and repair lifecycle automation, large-scale datacenter fabrics using BGP, ECMP, and spine-leaf designs, and out-of-band network management.

Benefits

  • Competitive total compensation package including salary and equity.
  • Retirement or pension plan in line with local norms.
  • Health, dental, and vision insurance.
  • Generous paid time off in line with local norms.

Tech Stack

Categories

Fluidstack

About Fluidstack

201-500 employees

Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.

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