Thomas Legris

Software Engineer at 合同会社SoftWeavers

Tokyo, Japan
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Summary

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Rockstar
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Top School
Thomas Legris is a seasoned software engineer based in Tokyo with 12 years of experience building performant C++ systems and cloud-native backends. His career spans roles at Amazon, Rakuten, Deepfence, and The MathWorks, combining enterprise-grade engineering with startup grit from co-founding Qywee. At Deepfence he contributed meaningful low-level work to ThreatMapper—integrating kernel tracing, OpenTracing plugins, and optimizing build and memory use—demonstrating fluency across systems, DevOps, and security tooling. Comfortable shipping production services and containerized builds, he bridges system-level optimization and pragmatic feature delivery. Trained in mathematics and computer science from UTC and Paris XI, he brings analytical rigor to debugging complex distributed and kernel-adjacent problems.
code12 years of coding experience
job13 years of employment as a software developer
bookComputer Science, Computer Science at Université Paris Sud (Paris XI) / University Paris XI
bookMaster's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Université de Technologie de Compiègne (UTC)
languagesFrench, English, Japanese
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Github Skills (11)

go10
tracer10
trace10
grpc10
dockers9
devops9
cloud-native9
docker9
cloud-security8
kubernetes8
kubernetes-pods8

Programming languages (15)

JavaC++CSSRustCMakefileGoTypeScript

Github contributions (5)

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deepfence/ThreatMapper

Dec 2021 - Jan 2023

Open Source Cloud Native Application Protection Platform (CNAPP)
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:331 reviews, 195 commits, 210 PRs in 1 year 1 month
Contributions summary:Thomas's contributions focused on integrating kernel tracing and implementing gRPC dependencies within the deepfence/threatmapper repository, which is a Cloud Native Application Protection Platform. They added an open tracer plugin to the Scope probe, which included integrating OpenTracing, adding build steps, and enabling flags for the agent. Additionally, the user optimized the build process, containerized plugin builds, and addressed memory usage issues related to tracing, showing a balance between feature implementation and system-level optimization.
cloudsecuritysecopsvulnerability-managementthreat-analysisobservability
Golang deepfence SDK
Contributions:5 releases, 14 reviews, 3 PRs in 1 year 9 months
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Thomas Legris - Software Engineer at 合同会社SoftWeavers