FluidStack

1 month ago

Production Engineer, Network

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Own network fleet health end to end, build active debugging tooling, and turn repair into an automated pipeline for a large datacenter network. You’ll define monitoring requirements, ship dashboards, and drive reliability and scalability across multiple sites in a fast-moving AI compute infrastructure company.

Location: London, San Francisco

Workplace: Onsite

Employment Type: Full time · Permanent

Job Function: Manufacturing & Production Operations

Key Responsibilities

•Own network fleet health end to end. Define the realtime monitoring requirements, build the alerting lifecycle, and ship the dashboards that give every on-call engineer a true picture of network state across all sites.
•Build active debugging tooling. Link diagnostics, remote command execution across the fleet, and repair visualization — the tools that turn a network fault from a mystery into a solvable problem, fast.
•Turn repair into a pipeline, not a procedure. Build the automation that takes a network failure from detection through parts management and return to service. Ticket integration, repair lifecycle pipelines, transceiver and optics tracking — owned, not improvised.
•Own network qualification and validation. Build the frameworks that gate new sites and hardware into production. You define what a healthy network looks like before it carries traffic.
•Own end-to-end reliability, scalability, and operation of the network at-scale. Fluidstack is building one of the largest datacenter networks in the world and that can only be accomplished with aggressive automation, tooling, and incident discipline.

Pay and Benefits

Salary: USD 175,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceVisionDentalPensionEquity

Key Requirements

•Shipped production network tooling or automation and built end-to-end network reliability solutions.
•Proficiency in Go or Python and building automation for large-scale datacenter networks.
•Experience with network telemetry/tools such as link diagnostics, active debugging, and monitoring dashboards.
•Strong systems-thinking, problem-solving, and ability to operate with minimal supervision in a high-intensity environment.
•Familiarity with AI tooling and large language model integration is a plus.

Experience:DatacenterCloudAINetworking

Skills:GoPythonGNMIGRPCNETCONFSONiC

Tech Stack:GoPythonGNMIGRPCNETCONFSONiC

Company Brief

FluidStack

Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.

Industry: Cloud Computing

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2017

Glassdoor: 4.7

Website LinkedIn Glassdoor

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FluidStack

1 month ago

Production Engineer, Network

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: London, San Francisco

Workplace: Onsite

Employment Type: Full time · Permanent

Job Function: Manufacturing & Production Operations

Key Responsibilities

•Own network fleet health end to end. Define the realtime monitoring requirements, build the alerting lifecycle, and ship the dashboards that give every on-call engineer a true picture of network state across all sites.
•Build active debugging tooling. Link diagnostics, remote command execution across the fleet, and repair visualization — the tools that turn a network fault from a mystery into a solvable problem, fast.
•Turn repair into a pipeline, not a procedure. Build the automation that takes a network failure from detection through parts management and return to service. Ticket integration, repair lifecycle pipelines, transceiver and optics tracking — owned, not improvised.
•Own network qualification and validation. Build the frameworks that gate new sites and hardware into production. You define what a healthy network looks like before it carries traffic.
•Own end-to-end reliability, scalability, and operation of the network at-scale. Fluidstack is building one of the largest datacenter networks in the world and that can only be accomplished with aggressive automation, tooling, and incident discipline.

Pay and Benefits

Salary: USD 175,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceVisionDentalPensionEquity

Key Requirements

•Shipped production network tooling or automation and built end-to-end network reliability solutions.
•Proficiency in Go or Python and building automation for large-scale datacenter networks.
•Experience with network telemetry/tools such as link diagnostics, active debugging, and monitoring dashboards.
•Strong systems-thinking, problem-solving, and ability to operate with minimal supervision in a high-intensity environment.
•Familiarity with AI tooling and large language model integration is a plus.

Experience:DatacenterCloudAINetworking

Skills:GoPythonGNMIGRPCNETCONFSONiC

Tech Stack:GoPythonGNMIGRPCNETCONFSONiC

Company Brief

FluidStack

Industry: Cloud Computing

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2017

Glassdoor: 4.7

Website LinkedIn Glassdoor