Ryan Lane is a Staff Software Engineer based in Tokyo with 14 years of experience designing and securing large-scale distributed systems and cloud infrastructure. He combines deep hands-on expertise in AWS and OpenStack with a strong track record in application and infrastructure security, having led DevSecOps and security engineering teams at Lyft, PayPay, and now Stripe. Ryan is an active open-source contributor—his backend work on cartography (graphing infrastructure assets in Neo4j) and maintenance and testing contributions to Lyft’s Confidant secret manager show practical experience integrating security into tooling and CI/CD. He’s skilled at scaling complex systems and driving secure-by-design architectures while also cultivating developer and user communities, as evidenced by his early role on the OpenStack user committee and Wikimedia volunteer leadership. Comfortable operating at both strategic and implementation levels, he often focuses on the non-obvious plumbing—data ownership, cleanup jobs, and SSL/load-balancer policy correctness—that prevents outages and security gaps. Fluent in Japanese studies and now working in Tokyo, he brings global perspective to cross-cultural engineering and operational challenges.
13 years of coding experience
18 years of employment as a software developer
Japanese Language and Literature, Japanese Language and Literature at Akamonkai Japanese Language School
BS, Computer Science, BS, Computer Science at University of New Orleans
Confidant: your secret keeper. https://lyft.github.io/confidant
Role in this project:
Back-end Developer
Contributions:3 releases, 84 commits, 275 PRs in 5 years 5 months
Contributions summary:Ryan primarily focused on testing and maintaining the `confidant` application, a secret management system. Their contributions included updating and improving the integration and unit tests for the application, specifically around authentication and authorization features, including SAML integration. The user also made changes to the codebase to incorporate new features and fix potential vulnerabilities as well as address issues in CI/CD pipelines.
Cartography is a Python tool that consolidates infrastructure assets and the relationships between them in an intuitive graph view powered by a Neo4j database.
Role in this project:
Backend Developer
Contributions:66 reviews, 38 commits, 42 PRs in 1 year 1 month
Contributions summary:Ryan primarily focused on enhancing the backend functionality and configuration aspects of the Cartography tool. They implemented configurable locations for analysis and cleanup jobs, demonstrating an understanding of modular design. The user added support for SSL policies in load balancer listeners, which included moving update operations and removing unnecessary jobs. They also made changes to AWS AMI syncing logic to ensure proper image ownership, indicating expertise in AWS integration and data handling.
neo4j-databasegcppythonathenalyft
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