Senior Site Reliability Engineer - SDN

About the role

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 San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

What You'll Do

• Operate and scale Lambda’s multi-tenant cloud networking platform and SDN infrastructure
• Operate and improve Kubernetes-based control plane services and dataplane software running on SmartNICs
• Develop tooling and automation to reduce operational toil and improve reliability
• Collaborate with software, platform, and networking teams to improve service reliability and deployment workflows
• Deploy and maintain network monitoring, observability, and management tools
• Improve deployment safety through CI/CD pipelines, GitOps workflows, testing, and progressive rollouts
• Drive operational excellence through observability, incident management, capacity planning, postmortems, and participation in the on-call rotation

You

• Have 5+ years of experience in Site Reliability Engineering, Production Engineering, or a similar role
• Have experience operating and supporting large-scale distributed systems in production
• Have experience with Kubernetes application lifecycle management, upgrades, troubleshooting, and production operations
• Have experience participating in on-call rotations and incident response
• Have strong troubleshooting skills across Linux systems, Kubernetes, distributed systems, and networking
• Have experience with observability platforms, monitoring, alerting, and metrics
• Are comfortable working on the Linux command line and have a solid understanding of the Linux networking stack
• Have experience with multi-datacenter and hybrid cloud environments
• Have experience automating infrastructure and operational workflows using Python, Ansible, or similar tools
• Have experience designing and operating CI/CD and GitOps deployment workflows

Nice To Have

• Experience building and operating Software Defined Networks (SDN), including OpenStack Neutron, OVN, and OVS
• Experience operating production-scale SDNs in a cloud environment (e.g., infrastructure powering AWS VPC-like networking services)
• Software development experience in Go and/or Python (C is a plus)
• Experience automating infrastructure and network configuration using Kubernetes, Helm, Terraform, and Ansible
• Deep understanding of the Linux networking stack and its interaction with network virtualization technologies, SR-IOV, and DPDK
• Understanding of the SDN ecosystem and modern cloud networking architectures
• Experience diagnosing complex production issues across infrastructure, networking, and application layers

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.