Julia Benais

Software Engineer II at Datadog

United States
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Summary

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Julia Benais is a Software Engineer II at Datadog with 17 years of industry experience and a background in IT engineering from EPITA, combining strong backend and DevOps skills with a deep interest in AI-driven software. At Datadog she has contributed to core observability projects—improving integrations, stabilizing tests, refining CI/CD pipelines, and enhancing metric submission in the datadog-agent—demonstrating an eye for reliability and maintainability in large open-source ecosystems. Her work spans bug fixes, refactors, and deployment automation across Windows/Linux and specialized integrations like IBM MQ and Snowflake. Previously she built backend systems with Node.js and full-stack mobile/web features, showing comfort across stacks and platforms. Comfortable operating at the intersection of engineering and operational practices, she brings practical expertise in test flakiness reduction and release automation that often goes unnoticed but materially improves platform stability.
code17 years of coding experience
job3 years of employment as a software developer
bookLabel HF Management, Management & Mixité et égalité professionnelle hommes-femmes, Label HF Management, Management & Mixité et égalité professionnelle hommes-femmes at Companieros
bookComputer science, Grade: A, Computer science, Grade: A at California State University, Monterey Bay
bookMaster's degree, Computer Science, Master's degree, Computer Science at EPITA: Ingénierie Informatique
bookBaccalauréat, Scientifique, Admise Mention Très Bien, Baccalauréat, Scientifique, Admise Mention Très Bien at La Salle Saint Rosaire
languagesFrench, English, Spanish, Hebrew
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Github Skills (18)

monitoring10
docker10
python10
testing10
linux10
dockers10
cicd10
go10
develop9
metric9
release-management9
integration-testing8
pytest8
network-protocol8
observability8

Programming languages (11)

TypeScriptJavaDockerfileC++ShellCSSJavaScriptGo

Github contributions (5)

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DataDog/integrations-core

Apr 2019 - Jan 2023

Core integrations of the Datadog Agent
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:1363 reviews, 1443 commits, 1841 PRs in 3 years 10 months
Contributions summary:Julia primarily contributed to the Datadog Agent's core integrations, focusing on bug fixes, refactoring, and the addition of new features. Their work spanned multiple areas, including patching and improving existing integrations, such as with the process integration. Also, the user worked on improving logging output, fixing various issues in the deployment of the agent on different operating systems, and contributing to the integration with the IBM MQ systems. They also made improvements and tests to the CI/CD pipeline for the checks.
datadog-agentagentintegrationsmonitoringdatadog
DataDog/integrations-extras

Jul 2019 - Oct 2022

Community developed integrations and plugins for the Datadog Agent.
Role in this project:
userDevOps Engineer
Contributions:276 reviews, 67 commits, 196 PRs in 3 years 3 months
Contributions summary:Julia primarily focused on improving the testing infrastructure and streamlining the release process across various integrations. They fixed existing test implementations, addressed flakiness in tests, and ensured proper metric coverage. Furthermore, the user updated configurations for the `requests` library and signatures to improve code maintainability. The changes demonstrate a strong understanding of testing and deployment automation within the project.
datadog-agentintegrationsagentdatadog
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Julia Benais - Software Engineer II at Datadog