Senior Fullstack Software Engineer - Billing & Identity at Lambda

San Francisco, California, United States

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$200,000 – $380,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud ComputingIndustries

Requirements

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 pick up new languages and frameworks as needed
Significant experience architecting systems around relational databases, document databases, queue datastores, block storage, object storage, unreliable networks, and caches
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
Very familiar with building integrated test frameworks and using CI/CD systems
Product-oriented and focused on great user experiences, invested in building the best product possible for users
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
(Nice to Have) Experience working with Kubernetes on cloud (preferably AWS-EKS)

Responsibilities

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 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

Skills

Key technologies and capabilities for this role

ReactJavaScriptdistributed systemsAPIsfullstack

Questions & Answers

Common questions about this position

What is the salary range for this Senior Fullstack Software Engineer position?

The salary range is $200K - $380K.

Is this role remote or hybrid, and what are the office requirements?

This is a hybrid role requiring presence in the San Francisco office 4 days per week, with Tuesday designated as the work-from-home day.

What skills and experience are required for this role?

Candidates need six or more years as a senior software engineer on business-critical distributed systems, familiarity with React/JavaScript for frontend and Python or Golang for backend, experience architecting systems around databases, storage, networks, and caches, plus skills in integrated testing, CI/CD, and cross-functional collaboration.

What is the company culture like at Lambda?

Lambda is an AI company built by AI engineers, focused on equipping engineers with fast, secure, affordable, and scalable AI tools, with a mission to make computation effortless like electricity.

What makes a strong candidate for this position?

Strong candidates are product-oriented with a focus on great user experiences, have a deep understanding of balancing build and operational costs for quick launches with solid foundations, and excel at cross-functional work with empathetic conflict resolution.

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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