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Infographic showing various Software Tester job openings at Lambda in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 64% Physical, 2% Hybrid, and 34% Remote job distribution.

Senior Site Reliability Engineer - SDN

San Francisco, CA • On-site

Lambda
See more jobs at Lambdaexternal

$240K - $312K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Key responsibilities

  • Operate and scale Lambda's multi-tenant cloud networking platform and SDN infrastructure

  • 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

Job description

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.
About Lambda
  • Founded in 2012, with 500+ employees, and growing fast
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: https://lambda.ai/careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use

Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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