Senior Network Architect, AI Cloud Infrastructure

Lambda Inc.; Washington; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Wellness stipend

401k match

Job summary

Lambda Inc. in Bellevue/San Francisco is building one of the world’s largest AI training and inference networks. You will own the multi-year network strategy across fabric, backbone, and edge, guiding engineers and coordinating with product and hardware teams.

The role requires leading large-scale networking projects, deep TCP/IP knowledge, and strong Python automation skills. Expect hybrid work with in-office collaboration several days weekly.

Qualifications

• 8+ years in relevant domains like cloud computing, systems engineering, and large-scale network infrastructure
• Experience of design, build and operation of production large scale Data Center or Cloud networks
• Experience of design, build and operation of software defined networking services and how to build distributed systems to the highest level of availability
• Have led through the implementation of large production-scale networking projects
• Experience building distributed network systems and services at scale
• Have experience with cloud providers networking (such as AWS, GCP, OCI)
• Deep expertise in datacenter, backbone and internet protocols and technology
• Experience building and optimizing networks for the best possible customer experience (lowest latency, fastest convergence, most available networks)
• Are comfortable on the Linux command line, and have an understanding of the Linux networking stack and internals
• Production automation skills in Python and a configuration management tool, working with network APIs and source control
• Production experience with multiple network gear vendors (Arista, Juniper, Cisco, Cumulus/SONiC, Opengear)
• Experience with Networking Monitoring stacks (Datadog, Clickhouse, Grafana, Prometheus, gNMI, OTel)
• Excellent communicator both written and verbal. You leverage high quality written artifacts to inform high quality decision making and get approval on problems and solution opportunities

Responsibilities

• Own the multi-year technical strategy for Lambda's network — fabric, backbone and edge — and everything in between
• Set the technical direction and standards other engineers design, build and operate against
• Own high-level technical relationships with enterprise customers, guiding mission-critical projects
• Adept at influencing without authority across teams, and applying high quality technical judgment under ambiguity
• Resolve any technical ambiguity that spans organisational boundaries — between network, hardware, platform and product teams
• Go deep when the hardest problems demand it — into the packet path, the routing table, the vendor's firmware, the code. You are hands-on.
• Drive the technical work end to end: shape the vision, define high- and low-level design, then work alongside the teams delivering it
• Raise the bar of the engineers around you through mentorship, design review and hiring
• Operate what you build. You'll take part in day 2 operations and the on-call rotation, because the fastest feedback loop between design and reality runs through the pager
• Serve as the senior technical voice with our largest customers on mission-critical projects, and carry what you learn there back into Lambda's roadmap
• Identify new opportunities to delight our customers, like novel new ways to improve availability or performance or even developing new products.

Skills

Cloud computing

Networking

Distributed systems

Linux CLI

Python automation

Network monitoring

Tools

Datadog

Prometheus

Grafana

gNMI/OpenTelemetry

Netbox

Job description

Lambda Inc. in Bellevue/San Francisco is building one of the world’s largest AI training and inference networks. You will own the multi-year network strategy across fabric, backbone, and edge, guiding engineers and coordinating with product and hardware teams.

The role requires leading large-scale networking projects, deep TCP/IP knowledge, and strong Python automation skills. Expect hybrid work with in-office collaboration several days weekly.