Senior Site Reliability Engineer, Lambda

Core Applications

$245-385k

+ Equity

SQL

React

AWS

Docker

Kubernetes

GCP

Python

Django

Terraform

Azure

Prometheus

Grafana

REST API

FastAPI

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

$245-385k

+ Equity

SQL

React

AWS

Docker

Kubernetes

GCP

Python

Django

Terraform

Azure

Prometheus

Grafana

REST API

FastAPI

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

7+ years of experience in Site Reliability Engineering or DevOps roles
Strong understanding of modern web application architectures, from frontend frameworks to backend APIs
Experience with both React and Python frameworks like Django and FastAPI
Knowledge of database performance tuning and query optimization
Experience implementing and troubleshooting RESTful APIs and microservices
Proficiency with Infrastructure as Code (Terraform)
Proficiency with CI/CD pipelines (Argo)
Understanding of web application security across the stack (XSS, CSRF, SQL injection, etc.)
Experience with cloud platforms (AWS, GCP, Azure) and their web service offerings
Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
Passionate about data-driven decision making, dashboards, runbooks, and operational efficiency

Desirable

Knowledge of event-driven architectures and message queuing systems
Experience implementing distributed tracing across microservices
Background in implementing API gateways and service meshes
Experience with WebSockets and real-time applications
Familiarity with serverless architectures and function-as-a-service
Experience with performance testing tools and methodologies
Background in chaos engineering or similar reliability testing methodologies
Understanding of compliance frameworks (SOC 2, ISO 27001, etc.)

What the job involves

Design and implement full-stack monitoring solutions that provide visibility from the browser to the database
Create robust CI/CD pipelines for reliable deployments across frontend and backend services
Develop and maintain API gateway configurations, rate limiting, and API versioning strategies
Implement SLIs, SLOs, and error budgets that reflect the complete customer experience
Architect resilient application patterns including circuit breakers, retries, and graceful degradation across the stack
Build and optimize caching strategies at multiple levels (browser, CDN, API, database)
Collaborate with development teams to establish full-stack performance benchmarks and testing methodologies
Create runbooks and automated remediation for common failure scenarios
Lead incident response for customer-facing application issues and conduct thorough post-mortems
Optimize resource utilization across web servers, application servers, and database tiers
Design secure authentication flows and session management with high availability requirements
Build in automation and auditing to ensure compliance and improve efficiency and productivity
Implement and integrate logging and metrics across platforms such as Datadog, Prometheus, OpenTelemetry, Grafana, SumoLogic, etc

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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