Senior Fullstack Software Engineer, Lambda

Billing & Identity

$200-380k

+ Equity compensation

React
AWS
Kubernetes
JavaScript
Python
Golang
Senior and Expert level
San Francisco Bay Area

More information about location

4 days a week in office

Lambda

Deep learning infrastructure company

Job no longer available

Lambda

Deep learning infrastructure company

201-500 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Job no longer available

$200-380k

+ Equity compensation

React
AWS
Kubernetes
JavaScript
Python
Golang
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.

Role

Who you are

  • Are an experienced senior software engineer with six or more years of working on business-critical distributed systems
  • Familiar with front end frameworks like react/javascript and has written backend services in Python or Golang. Can pickup new languages and frameworks as needed
  • Have significant experience architecting systems around relational databases, document databases, queue datastores, block storage, object storage, unreliable networks, and caches
  • Have a deep understanding of the balance between initial build costs and operational costs, and what it takes to launch a product quickly but with a good technical foundation
  • Are very familiar with building integrated test frameworks and using CI/CD systems
  • Are product-oriented and focused on great user experiences, and are invested in building the best product possible for users
  • Are good at working cross-functionally and solving problems across teams, including empathetic conflict resolution when working alongside teams with different priorities

Desirable

  • Experience working with Payments, Billing and/or Fraud systems
  • Experience working with Kubernetes on cloud (preferably AWS-EKS)

What the job involves

  • Build responsive, feature-rich React applications that enable customers to monitor and manage their usage, billing and payment methods in lambda cloud dashboard
  • Optimize applications for speed and efficiency
  • Create robust communication architectures to interface with internal and third-party services/APIs
  • Work on the architecture of our distributed systems to ensure best-in-class reliability and efficiency, while helping to minimize operational costs and toil work
  • Build products that provide billing and identity for a wide range of AI products that will be launched by Lambda
  • Handle interesting and dynamic scaling, hardware and scheduling challenges in a very dynamic and rapidly changing industry sector

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Insights

Top investors

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.

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Freddie

Company Specialist at Welcome to the Jungle