Senior Fullstack Software Engineer - Billing & Identity

3 Months ago • 6 Years + • Full Stack Development • $255,000 PA - $405,000 PA

Job Summary

Job Description

Lambda is seeking a Senior Fullstack Software Engineer to build and scale their GPU cloud offering, focusing on billing and identity systems. The role involves developing responsive React applications for the Lambda cloud dashboard, optimizing application performance, and creating robust communication architectures. You will work on the architecture of distributed systems to ensure reliability and efficiency, while also minimizing operational costs. The position requires building products that provide billing and identity for AI products and addressing scaling, hardware, and scheduling challenges in a dynamic industry.
Must have:
  • Six+ years of experience in business-critical distributed systems.
  • Familiarity with front-end frameworks like React/JavaScript.
  • Experience writing backend services in Python or Golang.
  • Experience architecting systems around relational databases, document databases, queue datastores, block storage, object storage, unreliable networks, and caches.
  • Deep understanding of build vs. operational costs.
  • Familiarity with integrated test frameworks and CI/CD systems.
  • Product-oriented with a focus on great user experiences.
  • Ability to work cross-functionally and solve problems across teams.
Good to have:
  • Experience with Payments, Billing, and/or Fraud systems.
  • Experience with Kubernetes on cloud (preferably AWS-EKS).
Perks:
  • Generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and Commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible Paid Time Off Plan

Job Details

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.


If you'd like to build the world's best deep learning cloud, join us. 

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

What You’ll Do

  • 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

You

  • 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.

Nice to Have

  • Experience working with Payments, Billing and/or Fraud systems

  • Experience working with Kubernetes on cloud (preferably AWS-EKS)

Salary Range Information 

Based on market data and other factors, the salary range for this position is $255,000-$405,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

  • Founded in 2012, ~350 employees (2024) and growing fast

  • We offer generous cash & equity compensation

  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Health, dental, and vision coverage for you and your dependents

  • Wellness and Commuter stipends for select roles

  • 401k Plan with 2% company match (USA employees)

  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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