Fluidstack ยท 2 weeks ago
Lead Network Engineer, Deployment & Integration
Fluidstack is seeking a Senior Staff Network Engineer to lead their Network Deployment & Integration pillar. This role involves hands-on building of AI datacenter fabrics and establishing a deployment playbook for scaling across multiple regions.
Cloud ComputingCloud StorageGenerative AIGPUInformation TechnologyMachine LearningPrivate CloudSoftware
Responsibilities
Own hands-on deployment of datacenter networks - front-end fabric, back-end fabric, BMS, management networks. Configure and validate switches, coordinate fiber/cabling remediation, manage hardware RMAs, and drive the first datacenter handover to production
Build the repeatable deployment process that scales from double digit Megawatt to Gigawatt deployments. Define pre-deployment checklists, turn-up procedures, validation gates, and handover criteria. Document blockers, failure modes, and workarounds. Create the operations manual that allows future deployment engineers to execute independently with minimal guidance
Partner with DC Operations (rack/stack, power, structured cabling), ICT teams (fiber validation, insertion loss), Hardware (device staging, logistics), and Network Engineering (design review, config validation) to drive deployments to completion. Own the critical path - identify blockers within hours, escalate decisively, and ensure nothing stalls deployment timelines
Lead deployment teams in the field - coordinate travel, assign work, provide technical guidance during complex turn-ups, and ensure quality standards. Build trust with datacenter partners through hands-on problem solving and accountability
Define and enforce exit criteria for production handovers to Network Operations. Ensure every fabric meets standards for physical layer validation (OTDR traces, insertion loss), logical configuration (BGP/EVPN validation, reachability tests), observability (monitoring integration, alerting), and documentation (as-builts, cutsheets, runbooks). Own the relationship with Operations to ensure smooth transitions
Qualification
Required
8+ years in network engineering with significant datacenter deployment experience
Experience building large-scale fabrics from the ground up
Deep hands-on experience with modern datacenter fabrics - EVPN/VXLAN, BGP, CLOS topologies, high-radix switching
Experience deploying AI/ML fabrics with RDMA (RoCEv2), lossless Ethernet (PFC, ECN), or equivalent high-performance networking
Ability to mentor and develop engineers
Ability to thrive in fast-paced, ambiguous environments
Exceptional at partnering across functions
Comfortable with 70-80% travel for extended onsite deployments
Preferred
Experience deploying networks at hyperscale companies (Meta, Google, Microsoft, AWS) or large AI infrastructure providers
Deep familiarity with Arista, Juniper, or NVIDIA networking platforms
Exposure to network automation tools (Ansible, Terraform, Python) and source-of-truth systems (Netbox, DCIM)
Formal or informal experience with project coordination, Gantt charts, critical path management, and cross-functional program execution
Experience building something from scratch in a high-growth infrastructure or cloud company
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
FluidStack is an AI cloud platform for frontier labs and startups.
H1B Sponsorship
Fluidstack has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Seedcamp
2025-06-01Undisclosed
2024-10-01Private Equity
2018-02-01Pre Seed
Recent News
2026-01-07
2026-01-06
2026-01-04
Company data provided by crunchbase