Network Engineer, Deployment & Integration jobs in United States
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Fluidstack ยท 1 week ago

Network Engineer, Deployment & Integration

Fluidstack is building the infrastructure for abundant intelligence and seeks a Network Engineer to join their Deployment & Integration team. The role focuses on building and validating AI datacenter network infrastructure at scale, including configuring switches and ensuring production-ready handovers to operations.

Cloud ComputingCloud StorageGenerative AIGPUInformation TechnologyMachine LearningPrivate CloudSoftware

Responsibilities

Deploy and validate datacenter network infrastructure including front-end fabric, back-end fabric, BMS, and management networks
Configure switches, install and validate optics, coordinate fiber/cabling work, and drive deployments through completion
Own the hands-on work that turns designs into production networks
Ensure physical connectivity meets production standards
Coordinate with structured cabling teams on fiber remediation, validate insertion loss and OTDR traces, troubleshoot optical layer issues, and document physical infrastructure as-builts
Manage hardware logistics including device staging, rack/stack coordination, RMA processes, and DCIM updates
Track hardware inventory, coordinate vendor shipments, and ensure devices are ready when deployments need them
Partner with DC Operations (rack/stack, power, cabling), ICT teams (fiber validation), Hardware teams (logistics), and Network Engineering (config validation) to drive deployments forward
Maintain accurate documentation of deployment activities including cutsheets, as-builts, validation results, and lessons learned
Identify gaps in deployment procedures and propose improvements
Contribute to the deployment playbook that enables the team to scale
Provide backup operational support during and after deployments
Respond to incidents, execute troubleshooting procedures, and coordinate break-fix activities
Build the operational knowledge that makes you effective beyond just deployment execution

Qualification

Datacenter NetworkingHands-On ExecutionTroubleshootingAI Fabric ExperienceVendor Platform KnowledgePhysical Layer ExpertiseAutomation ExposureDCIM/Asset ManagementCoordination & CommunicationSelf-Directed Learning

Required

3-7 years in network engineering with hands-on datacenter experience
Understanding of modern datacenter fabrics (EVPN/VXLAN, BGP, CLOS architectures)
Configured production network infrastructure
Comfortable with CLI, configuration management, and network validation procedures
Thrives in field environments and enjoys the satisfaction of building physical infrastructure
Comfortable pulling cable, configuring switches, and troubleshooting optical layer issues
Methodical approach to diagnosing network issues across physical and logical layers
Ability to read OTDR traces, validate insertion loss, debug BGP sessions, and trace connectivity through complex topologies
Clear communicator who can work effectively across technical and non-technical teams
Experience coordinating work with datacenter operators, vendors, and internal teams
Ability to document work clearly and follow through on commitments
Learns quickly from structured guidance and can apply that knowledge independently
Asks good questions, seeks out documentation, and takes ownership of ramping up on new technologies
Comfortable with 70-80% travel to onsite deployments (weeks to months) at datacenter locations

Preferred

Exposure to AI/ML networking environments with RDMA (RoCEv2), lossless Ethernet (PFC, ECN), or high-performance compute fabrics
Hands-on experience with Arista, Juniper, or NVIDIA networking platforms
Strong understanding of structured cabling standards, fiber optics (SMF/MMF), insertion loss budgets, and optical validation tools
Experience working with structured cabling vendors and ICT teams
Basic familiarity with network automation concepts, configuration templating, or scripting (Python, Ansible)
Experience with datacenter infrastructure management tools, asset tracking systems, or inventory management

Benefits

Retirement or pension plan, in line with local norms.
Health, dental, and vision insurance.
Generous PTO policy, in line with local norms.

Company

Fluidstack

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FluidStack is an AI cloud platform for frontier labs and startups.

Funding

Current Stage
Growth Stage
Total Funding
unknown
Key Investors
Seedcamp
2025-06-01Undisclosed
2024-10-01Private Equity
2018-02-01Pre Seed

Leadership Team

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Gary Wu
CEO, Co-Founder
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Company data provided by crunchbase