Senior Software Engineer – Billing & Identity

Lambda•San Francisco, CA

10d•$380,000 - $445,000•Hybrid

About The Position

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI 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.

Requirements

Master’s degree in Computer Science or a related field plus 5 years of experience as a Software Engineer or related occupation.
At least 1 year of prior work experience in industry-standard coding languages, including Python and GoLang
At least 1 year of prior work experience in Databases, Storage & Analysis, including SQL, Hive, Presto, DynamoDB, and S3
At least 1 year of prior work experience in Software development tools and revision control systems, including VIM, GIT, and shell scripting
At least 1 year of prior work experience in Building highly-scalable performant solutions
At least 1 year of prior work experience in Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
At least 1 year of prior work experience in Designing scalable distributed systems with established partition tolerance, consistency, and availability guarantees.

Responsibilities

Design and build report interfaces and data feeds for downstream financial systems to ensure financial accuracy.
Create consumer software products for billing and pricing features using Golang and Python programming languages by iteratively taking technical design requirements from the design team and product requirements from the product teams.
Responsible for improving software quality through thoughtful code reviews, appropriate software testing, proper rollout, monitoring, and proactive changes.
Establish best practices for enabling continuous integrations deployments a week and setup a clean process to rollback changes as needed.
Track system and software key performance indicators (KPIs), revenue impact, response times, and latency to make data-driven recommendations for continuous improvement.