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Lambda

Senior Site Reliability Engineer - SDN

San Francisco Office (Fremont St); San Jose Office (First St); Bellevue OfficeHybrid · United States
Senior · FullTime · Data Center Business
POSTED 7 JULVERIFIED 7M AGO
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Pay · posted
$240k–312k
H-1B median $268k
Open for
119d
since 7 Jul
H-1B · FY26
13
certified LCAs
Hiring · 30d
95
+2 net · open roles
PythonGoAWSKubernetesTerraformDistributed systems

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

Source · LambdaFirst seen 2 NovOriginal ↗