Senior Director, Network Reliability Engineering

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda’s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you’d like to build the world’s best AI cloud, join us.

• Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda’s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

Every customer workload on Lambda depends on the network, from a single-GPU experiment to a training run spanning thousands of GPUs. When an optic degrades, a link flaps or a switch fails, customers feel it as stalled jobs, restarts and lost compute time. We will operate the existing network flawlessly for all customer workloads while we reinvent how failures are found and fixed, and the automation underneath all of it.

Lambda has 10x’d over the last three years, and the network engineering organization is scaling to match. We’re looking for a Senior Director of Network Reliability Engineering to own the health of that network end to end: the break-fix operations that restore service today, and the software that detects, isolates and repairs failures automatically so that most never reach a human or a customer.

You’ll lead an organization spanning network SRE and automation engineering, incident management, and break-fix coordination with our data center teams. We’re looking for an experienced leader of leaders who treats every repeated failure as a software problem, measures reliability and builds toward a self-healing network where detection, diagnosis and remediation run as automated closed loops. You’ll hire and grow a talented team of software and network proficient engineers, shape team culture, and partner with technical leadership to keep reliability ahead of our scale ambitions.

This role will report to the VP of Cloud and AI Networking, working alongside a highly capable and passionate team of engineers. If you’d like to join a great team of customer obsessed engineers building the world’s best AI cloud, come join us.

What You’ll Do

• Own the reliability of Lambda’s network end to end, from GPU compute fabrics to data center, backbone and edge, and be accountable for availability, time to detect and time to restore
• Run break-fix operations at scale: fault detection, triage, hardware replacement and RMA, optics and cabling remediation, and coordination with Data Center Operations and remote-hands partners across a growing fleet of data centers
• Lead the networking ops excellence and incident management program, including on-call, incident command, escalation paths, customer communication and blameless postmortems that turn into engineering fixes
• Set the multi-year strategy for a self-healing network: automated loops that detect and isolate failing components, shift traffic, drain and restore capacity, and open repair work without human intervention
• Convert manual break-fix work into durable software. The goal is a network that repairs itself, not a faster set of runbooks. Measure toil, set targets to reduce it, and track the share of failures resolved automatically as a primary outcome for your org
• Define network SLOs and error budgets with product and customer-facing teams, and use them to prioritize reliability work against feature and capacity work
• Build automation that is safe to trust, with blast-radius limits, staged rollouts, audit trails and rollback for every automated action, including AI-assisted triage and remediation
• Own the operational bar for your org: how incidents are detected, handled, reviewed, measured and learned from
• Build and lead the organization that delivers it: hire, develop and retain engineers and the leaders who manage them, and design the team structure as the network and the org grow
• Manage through leads and senior ICs, developing both, with regular 1:1s, clear performance feedback, growth planning, and sponsorship of meaningful work
• Partner with N…