Senior Site Reliability Engineer, Lambda

Fleet Reliability

$155-224k

+ Equity compensation

AWS

Kubernetes

Python

Linux

Terraform

Ansible

Git

Cisco

NSX

Senior and Expert level

San Francisco Bay Area

More information about location

4+ days a week in office

Deep learning infrastructure company

Open for applications

Deep learning infrastructure company

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Open for applications

$155-224k

+ Equity compensation

AWS

Kubernetes

Python

Linux

Terraform

Ansible

Git

Cisco

NSX

Senior and Expert level

San Francisco Bay Area

More information about location

4+ days a week in office

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Company mission

To accelerate human progress through computation.

Job

Company

Role

Who you are

Have 5+ years of experience being SRE or Network Reliability Engineering
Been part of the implementation of production-scale networking projects
Experience being on-call and incident response management
Have experience building and maintaining Software Defined Networks (SDN), experience with OpenStack, Neutron, OVN
Are comfortable on the Linux command line, and have an understanding of the Linux networking stack
Have experience with multi-data center networks and hybrid cloud networks
Have Python programming experience and configuration management tools like Ansible
Have experience with CI/CD tools for deployment and GIT. Operated network environment with GitOps practices in place
Experience with application lifecycle and deployments on Kubernetes

Desirable

Operated production-scale SDNs in a cloud context (e.g. helped implement or operated the infrastructure that powers an AWS VPC-like feature)
Experience automating network configuration within public clouds, with tools like kubentetes, HELM, Terraform, Ansible
Deep understanding of the Linux networking stack and its interaction with network virtualization, SR-IOV and DPDK
Understanding of the SDN ecosystem (e.g. OVS, Neutron, VMware NSX, Cisco ACI or Nexus Fabric Controller, Arista CVP)
Have experience with Spine and Leaf (Clos) network topology
Have experience and understanding of BGP EVPN VXLAN networks
Experience with building and maintaining multi-data center networks, SD-WAN, DWDM
Experience with Next-Generation Firewalls (NGFW)

What the job involves

Help scale Lambda’s high performance cloud network
Contribute to the reproducible automation of network configuration and deployments
Contribute to the implementation and operations of software defined networks
Help to deploy and manage Spine and Leaf networks
Ensure high availability of our network through observability, failover, and redundancy
Ensure clients have predictable networking performance through the use of network engineering and other applicable technologies
Help with deploying and maintaining network monitoring and management tools

Our take

Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.

Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.

With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

26% employee growth in 12 months

Glassdoor (3.5)

Company

Funding (last 2 of 5 rounds)

Feb 2025

$480m

SERIES D

Feb 2024

$320m

SERIES C

Total funding: $863m

Company benefits

100% remote team
Healthcare, dental, vision, work-from-home Internet, and phone stipend.
Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.

Company HQ

Dogpatch, San Francisco, CA

Leadership

Michael Balaban

(Co-Founder)

Graduating with a BS in Discrete Mathematics and Computer Science, Michael is experienced in software engineering and previously worked for Nextdoor as part of its infrastructure team.

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