Chris Guidry

Staff Software Engineer at Prefect

Belgrade, Maine, United States
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Summary

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Chris Guidry is a Staff Software Engineer with over two decades of web development experience and eleven years in senior technical roles, currently shaping resilient infrastructure at Prefect. He emphasizes fundamentals—web standards, sound architecture, and simple solutions—while balancing hands‑on back-end and DevOps contributions, including telemetry and Kubernetes runner work for the popular Prefect workflow orchestration project. Chris has progressed from individual contributor to engineering leader at companies like O'Reilly Media and Honor, where mentoring, team growth, and spreading joy were core responsibilities. Based in Belgrade, Maine, he brings a pragmatic engineering philosophy rooted in philosophy studies, which surfaces as clear thinking and principled tradeoffs in complex systems. Colleagues know him for strengthening teams as much as code, and for quietly improving observability and developer ergonomics behind the scenes.
code12 years of coding experience
job21 years of employment as a software developer
bookBachelor of Arts, Philosophy, Bachelor of Arts, Philosophy at Louisiana State University and Agricultural and Mechanical College
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Github Skills (14)

kubernetes10
automation10
docker10
workflow-engine10
automations10
orchestration10
orchestra10
telemetry10
python10
dockers10
kubernetes-pods10
devops9
testing9
data-engineering8

Programming languages (12)

TypeScriptC++ShellCJavaScriptGoGo TemplateHTML

Github contributions (5)

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PrefectHQ/prefect

May 2022 - Dec 2022

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:1124 reviews, 144 commits, 578 PRs in 6 months
Contributions summary:Chris contributed to the back-end infrastructure of the Prefect workflow orchestration framework by implementing telemetry features. Their work involved adding Python environment information to the telemetry data collection, including the platform, architecture, and Python version. They also implemented features for the Kubernetes flow runner by allowing users to customize the Job manifest and providing options to override any component of the Job. Additionally, the user made improvements to the tests, and they fixed issues and updated dependency versions.
data-pipelinedata-pipelinesorchestration-frameworkpythonworkflow
A pytest plugin for instrumenting test runs via OpenTelemetry
Contributions:9 releases, 12 reviews, 28 commits in 10 months
opentelemetrypytestjaegerjaegertracingobservability
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