Senior Site Reliability Engineer, Lambda
Fleet Reliability
$155-224k
+ Equity compensation
More information about location
4+ days a week in office
Deep learning infrastructure company
Be an early applicant
Deep learning infrastructure company
201-500 employees
Be an early applicant
$155-224k
+ Equity compensation
More information about location
4+ days a week in office
201-500 employees
Company mission
To accelerate human progress through computation.
Role
Who you are
- 7+ years of experience in Site Reliability Engineering, DevOps, or a similar role
- Strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization
- Strong understanding of Linux-based systems in a distributed environment
- Solid understanding of Python and Go, with experience working with SWE teams to improve internal tooling
- Experience with monitoring and alerting tools (e.g., Prometheus, Grafana, SumoLogic)
- Proficiency in automation and configuration management tools (e.g., Ansible, Terraform)
- Familiarity with cloud platforms (e.g., OCI, AWS, GCP, Azure)
- Excellent problem-solving and troubleshooting skills
- Strong communication and collaboration skills
- Passion for continuous improvement and innovation
Desirable
- Experience in the machine learning or computer hardware industry
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Experience building and/or operating HPC resources
- Background in chaos engineering or similar reliability testing methodologies
- Understanding of compliance frameworks (SOC 2, ISO 27001, etc.)
What the job involves
- Define Fleet Health metrics and indicators to objectively measure and improve system availability
- Collaborate with the observability team on comprehensive monitoring and alerting systems to proactively predict, detect and respond to issues or anomalies
- Create runbooks and automated remediations for common failure scenarios
- Build in automation and auditing to ensure compliance and improve efficiency and productivity
- Participate in on-call rotations and provide support for incident response and resolution
- Implement and integrate logging and metrics across platforms such as Datadog, Prometheus, OpenTelemetry, Grafana, SumoLogic, etc
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Insights
26% employee growth in 12 months
Company
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.
Funding (last 2 of 5 rounds)
Feb 2025
$480m
SERIES D
Feb 2024
$320m
SERIES C
Total funding: $863m
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