Site Reliability Engineer, Lambda

Storage

$185-320k

+ Equity

AWS

Docker

Kubernetes

Python

Linux

Terraform

Jenkins

Ansible

Azure

Prometheus

Grafana

Golang

Datadog

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

$185-320k

+ Equity

AWS

Docker

Kubernetes

Python

Linux

Terraform

Jenkins

Ansible

Azure

Prometheus

Grafana

Golang

Datadog

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

5+ years of experience in Linux or HPC Environments
5+ years of experience in Monitoring and Logging, such as:
Alertmanager, Grafana, Prometheus, DataDog or SumoLogic
Built monitoring dashboards for multiple audiences
Built and designed alert and pager routing
5+ years of experience in Kubernetes:
ArgoCD and other deployment technologies
Helm or Kustomize
Expert in Kubernetes troubleshooting
5+ in the following technologies:
CI/CD Technologies such as Jenkins, Github Actions, or BuildKite
Docker/Podman and/or other Container Technology
Systems programming in Python or Golang
5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible)
Proficient in either Python and/or GoLang

Desirable

Understanding of Storage and Software defined Storage, such as Ceph, BeeGFS, Gluster, GFS, etc
Worked with, or wrote, Kubernetes CSI drivers
Have worked in an HPC Environment
Worked in, or with, SRIOV and Virtualization (KVM/Qemu)
Experience in GPUDirect, RDMA, InfiniBand or ROCE Networking

What the job involves

Create and integrate tooling to enable the delivery of products and services
Use best practices to add and enhance monitoring and logging platforms (e.g., Prometheus, Grafana, Datadog)
Develop and maintain custom dashboards, alerts, and metrics to proactively monitor storage performance, capacity, and failures
Automate ticketing
Implement CI/CD pipelines in Github or BuildKite for Storage components
Work with Storage Engineers, Fleet Orchestration, and Release Engineering to automate the deployment and configuration of Software Defined Storage

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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