Cody Lee
Senior Director Of Engineering at Datadog
Gunter, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolCody Lee is a senior engineering leader with 11 years of experience building scalable developer platforms and delivery foundations, currently leading Software Delivery Lifecycle Foundations at Datadog. He specializes in simplifying developer workflows, improving end-to-end visibility, and introducing AI-driven capabilities to help thousands of engineers ship reliable, secure software with confidence. Cody has led major platform pillars—Rapid and API-Platform—focusing on operational maturity, cross-functional execution, and service lifecycle standards. A hands-on engineer and open-source contributor, he has deep DevOps and Go experience, including notable contributions to Datadog’s Terraform provider and integrations that bridge telemetry into monitoring systems. He invests heavily in developing managers and senior engineers to create autonomous, high-performing teams and applies a background in mechanical engineering to pragmatic system design. Based in Gunter, Texas, he also volunteers as Conference Chairman for the Texas Linux Festival, reflecting a long-standing commitment to the open-source community.
11 years of coding experience
14 years of employment as a software developer
University of Texas at San AntonioBachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at Texas A&M University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (22)
apache-storm10
data-collection10
python10
apidoc10
testing10
terraform10
cicd10
terraformer10
go10
api10
golang10
datadog10
collections10
metric10
integration-testing10
Programming languages (15)
Github contributions (5)
zorkian/go-datadog-api
May 2019 - Oct 2019
A Go implementation of the Datadog API.
Role in this project:
Backend Developer
Backend DeveloperContributions:8 commits, 6 PRs, 14 comments in 5 months
Contributions summary:Cody primarily contributed to the Datadog API Go implementation by adding features related to downtimes and SLOs. Their work involved defining new fields, implementing data structures, and creating new API endpoints. The user also made changes to support the generation of code, integrated new test files, and addressed payload issues, showcasing their focus on API functionality and correctness.
golangapinewrelicgodocgo
DataDog/integrations-extras
Oct 2017 - Jan 2023
Community developed integrations and plugins for the Datadog Agent.
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:23 reviews, 15 commits, 11 PRs in 5 years 3 months
Contributions summary:Cody implemented a new integration for Apache Storm, focusing on metric collection for various Storm components like cluster, nimbus, and topology. They also addressed configuration, testing, and documentation to ensure proper integration. Furthermore, the user demonstrated skills in refactoring tests, fixing linting errors, and integrating docker tests, suggesting involvement in the build and test infrastructure of the repository.
datadog-agentintegrationsagentdatadog
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.