Senior Backend Engineer (Billing)
Docker168,000 - 210,000 USD/year
- Full Time
- Senior (5 to 8 years)
$200,000 – $440,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should have six or more years of experience as a senior software engineer working on business-critical distributed systems. Significant experience in leading projects from inception to production is required, along with a history of making technical decisions and authoring design documents. Applicants must have substantial experience in architecting systems around various data storage solutions and a deep understanding of the balance between build costs and operational costs. Proficiency in Go or Python is necessary, along with knowledge of distributed data processing frameworks and CI/CD systems. A product-oriented mindset focused on user experience and the ability to work cross-functionally are essential.
Responsibilities
The Software Engineer will collaborate with management, product, and other internal partners to drive technical decisions based on business needs. They will work on the architecture of distributed systems to ensure reliability and efficiency while minimizing operational costs. The role involves providing empathetic leadership and mentorship to the team, building products for billing and identity for AI products, and handling scaling, hardware, and scheduling challenges in a dynamic industry.
Skills
Go
Python
Relational databases
Document databases
Queue datastores
Block storage
Object storage
Apache Spark
Flink
Beam
Apache Airflow
CI/CD
Distributed systems
Data processing
Integrated test frameworks
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.
Key Metrics
San Jose, CaliforniaHeadquarters
2012Year Founded
$372.6MTotal Funding
DEBTCompany Stage
AI & Machine LearningIndustries
201-500Employees