Network Engineer, Deployment

FluidStack Inc.

Job Overview

Location

New York, NY

Job Type

Full-time

Full Job Description

📋 Description

• We exist to make humanity more free by delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack.
• We acquire power, design and build data centers, and operate them - with teams spanning hardware and software.
• Speed and scale are our key differentiators.
• We hire people who care deeply about this problem space.
• We operate with extreme ownership, velocity, first principles, and a love of the game.
• The Infrastructure Team is working on key problems such as turning up gigawatts at the speed of light, automating themselves out of the cutsheet, and making handoff mean flawless.
• As a Network Engineer, Deployment, you will deploy and validate data center network infrastructure, ensure physical connectivity meets production standards, manage hardware logistics, and partner with DC Operations, ICT, Hardware, and Network Engineering.
• You will maintain cutsheets, as-builts, validation results, and lessons learned, and contribute to the deployment playbook that lets the team scale.
• You will provide operational support during and after deployments: incident response, troubleshooting, and break-fix.
• We are looking for someone who has done hands-on data center network engineering and understands modern fabrics (EVPN/VXLAN, BGP, CLOS), having configured production infrastructure.
• You should thrive in the field, equally comfortable pulling cable, configuring switches, and troubleshooting the optical layer, and you execute with whatever tooling is available.
• You should troubleshoot methodically across physical and logical layers: OTDR traces, insertion loss, BGP sessions, and connectivity through complex topologies.
• You should communicate clearly across technical and non-technical teams, document well, and follow through.
• You should learn fast and take ownership of ramping on new technology, and you'll travel 50 to 60% to onsite deployments.
• Bonus: AI fabric turn-up experience, configuration management and automation tooling, and vendor certifications.

🎯 Requirements

• You've done hands-on data center network engineering and understand modern fabrics (EVPN/VXLAN, BGP, CLOS), having configured production infrastructure.
• You thrive in the field, equally comfortable pulling cable, configuring switches, and troubleshooting the optical layer, and you execute with whatever tooling is available.
• You troubleshoot methodically across physical and logical layers: OTDR traces, insertion loss, BGP sessions, and connectivity through complex topologies.
• You communicate clearly across technical and non-technical teams, document well, and follow through.
• You learn fast and take ownership of ramping on new technology, and you'll travel 50 to 60% to onsite deployments.

🏖️ Benefits

• Competitive total compensation package (salary + equity).
• Retirement or pension plan, in line with local norms.
• Health, dental, and vision insurance.
• Generous PTO policy, in line with local norms.
• Total compensation may also include equity in the form of restricted stock units.
• We are committed to pay equity and transparency.
• Fluidstack is an Equal Employment Opportunity Employer.

Skills & Technologies

Fiber

Onsite

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FluidStack Inc.

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About FluidStack Inc.

FluidStack Inc. operates a distributed cloud platform that aggregates under-utilized GPUs in data centers and individual machines worldwide, renting them on-demand to AI researchers, startups, and enterprises for training and inference workloads. The company automates deployment, security, and billing, offering prices up to 80% below traditional hyperscalers while providing instant access to high-end NVIDIA A100, H100, and consumer GPUs through a single API and web console. Headquartered in London, FluidStack targets machine-learning engineers who need scalable, low-cost compute without long-term commitments, claiming thousands of active nodes and customers including Fortune 500 enterprises and leading research labs.

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