Senior Network Infra Engineer: AI-Driven Connectivity

fal - Features & Labels

United States

Remote

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Visa sponsorship
Relocation to San Francisco
Health, dental, and vision insurance (

Job summary

fal is building the public and private network infrastructure powering its data centers and cloud environments, delivering a fast, secure, and observable networking fabric for the next generation of AI-native products.

You’ll work across the networking stack, from BGP and private peering to kernel tuning, with a focus on automation and reliability to support scalable, high-performance workloads.

Qualifications

  • 5+ years building and operating production network infrastructure.
  • Strong Linux networking: routing tables, policy routing, network namespaces, bonding, VLANs, bridges, firewalling, NAT, conntrack.
  • Deep BGP knowledge: route selection, communities, filtering, convergence, multipath, troubleshooting.
  • Experience managing ASNs, public IP space, BGP announcements, IPAM, RPKI/ROAs, IRR records.
  • Experience designing private IPv4/IPv6 address plans and preventing cross-customer/region conflicts.
  • Production VXLAN overlay network experience.
  • Production IPsec, WireGuard, or Tailscale experience.
  • Experience with anycast DNS and mDNS.
  • Experience with private peering and cloud provider interconnects.
  • Linux networking performance tuning: congestion control, queue disciplines, socket buffers, MTU, NIC offloads, RSS/RPS/XPS, IRQ affinity.
  • Packet-level troubleshooting: iproute2, tc, ethtool, tcpdump, Wireshark, mtr.
  • Ansible or equivalent network configuration automation.
  • EVPN as a VXLAN control plane.
  • FRRouting, BIRD, or similar software-routing platforms.
  • AWS Direct Connect, Google Cloud Interconnect, Azure ExpressRoute.
  • Internet exchanges, cross-connects, route servers, colocation networking.
  • DDoS detection, mitigation, scrubbing, BGP-based traffic diversion.
  • eBPF, XDP, DPDK
  • NetBox, Nautobot, Nornir
  • Authoritative or recursive DNS infrastructure at scale
  • Network hardware: Arista, Juniper, Cisco
  • Kubernetes networking, service load balancing, CNI
  • Python or Go

Responsibilities

  • Design, build, validate, and operate public and private networks across the public platform and private compute clusters.
  • Use AI aggressively to automate and accelerate network provisioning, configuration, validation, monitoring, and recovery.
  • Manage ASNs, public IP prefixes, and private address space (allocation, registration, announcement, lifecycle).
  • Build and operate BGP routing: route policies, communities, filtering, traffic engineering, and failover.
  • Announce customer and company IP ranges from physical infrastructure and cloud providers, including BYOIP integrations.
  • Establish private peering with customers, partners, data centers, internet exchanges, and cloud providers.
  • Build private and overlay networks using VXLAN, IPsec, WireGuard, and Tailscale.
  • Operate DNS networking patterns including anycast DNS and mDNS.
  • Tune the Linux networking stack for high throughput, low latency, and large connection counts.
  • Build network observability and diagnostics using metrics, logs, flow data, active probes, and packet captures.
  • Develop reusable tooling, standards, documentation, and runbooks.
  • Collaborate with customers and internal teams to translate connectivity, security, isolation, and performance requirements into sound network designs

Skills

Linux networking
BGP
VXLAN
IPsec/WireGuard
DNS
Ansible automation
EVPN
FRRouting/BIRD
Cloud interconnects
eBPF
NetBox
Nautobot
Nornir
Kubernetes networking
Python/Go

Tools

Arista
Juniper
Cisco

Job description

fal is building the public and private network infrastructure powering its data centers and cloud environments, delivering a fast, secure, and observable networking fabric for the next generation of AI-native products.

You’ll work across the networking stack, from BGP and private peering to kernel tuning, with a focus on automation and reliability to support scalable, high-performance workloads.

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