Liel Chayoun
Senior Software Engineering Manager at Datadog
Israel
Summary
🤩
Rockstar🎓
Top SchoolLiel Chayoun is a senior software engineering manager with 11+ years of experience building cloud-native, big data, and developer productivity platforms across Intel, AppsFlyer, GitHub, and Datadog. He has led teams that scale systems for millions of users—most recently driving architecture and product for GitHub Issues used by over 8 million daily users—and specializes in migrating and operationalizing observability and platform tooling. Comfortable across the stack, Liel pairs hands-on contributions (including enhancements to Spring Cloud Zuul rate-limiting with token-bucket and URL/header policies) with strategic leadership to improve reliability, developer experience, and cross-functional alignment. He holds an MBA focused on Big Data and Business Intelligence and a BSc in Computer Software Engineering from Technion, which informs his blend of technical depth and business impact. Known for mentoring inclusive, high-performing teams, he consistently turns complex distributed challenges into pragmatic, scalable solutions.
11 years of coding experience
8 years of employment as a software developer
Master of Business Administration (MBA) Big Data and Business Intelligence, Master of Business Administration (MBA) Big Data and Business Intelligence at Technion - Israel Institute of TechnologyComputer Science, Computer Science at The Hebrew Reali School
Hebrew, English, French
Github Skills (10)
javas10
spring-cloud10
rate-limiting10
java10
spring-boot10
apidoc9
testing9
throttling9
api9
open-source8
Programming languages (7)
Github contributions (5)
marcosbarbero/spring-cloud-zuul-ratelimit
Sep 2017 - Aug 2020
Rate limit auto-configure for Spring Cloud Netflix Zuul
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 commits, 43 PRs, 32 pushes in 3 years
Contributions summary:Liel primarily focused on enhancing the rate-limiting functionality of the Spring Cloud Zuul library. Their contributions include supporting multiple rate-limiting policies, implementing the token-bucket algorithm for improved rate limiting, and enabling URL-level and HTTP header-based rate limiting configurations. These changes involved modifications to core filter logic, configuration classes, and test integrations, thus improving the flexibility and the configuration of the rate limiting features.
rate-limitload-sheddingconfigurenetflix-zuulspring
SWCE/spring-cloud-zuul-ratelimit
Jul 2019 - Jul 2019
Rate limit strategy for Spring Cloud Netflix Zuul
Contributions:2 PRs, 35 pushes, 8 branches in 6 days
spring-bootrate-limitspring-cloud-netflix-zuulnetflixstrategy
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