Matthieu Boret
CCoE - Technical Leader Cloud & IA Innovation
Greater Bayonne Area United States
Summary
👤
Senior🎓
Top SchoolMatthieu Boret is a seasoned cloud and AI technical leader with over 15 years designing and deploying production-grade cloud infrastructures, primarily on AWS with Azure experience, and a decade of hands-on engineering. Currently leading Cloud & IA Innovation at Claranet, he blends architecture, automation, Kubernetes and serverless expertise with FinOps discipline to deliver cost-efficient, scalable solutions. He pairs strategic leadership with practical delivery—designing, developing and deploying new services while steering internal AI initiatives. An active open-source contributor, Matthieu has improved cross-cloud tooling in cloud-custodian and enhanced Gen-AI integrations for team collaboration in onyx-dot-app, showing a knack for integrations that bridge platform and user experience. Based in the Greater Bayonne area, he brings a pragmatic hacker mindset from early system administration roots to modern cloud-native innovation.
10 years of coding experience
9 years of employment as a software developer
BTS Informatique de Gestion Option Administrateur de Réseaux Locaux d’entreprise, BTS Informatique de Gestion Option Administrateur de Réseaux Locaux d’entreprise at Paul Louis Courier, ToursComputer Network Administration and Security, Computer Network Administration and Security at Institut Universitaire de Technologie - Pau
Github Skills (27)
develop10
cloud-computing10
python10
confluence10
cloud-infrastructure10
aws10
slack10
backend10
api-design9
chatgpt9
apim9
gcp9
microsoft-azure9
infrastructure-as-code9
api9
Programming languages (5)
Github contributions (5)
onyx-dot-app/onyx
Oct 2023 - Dec 2024
Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 PRs, 5 comments, 5 issues in 1 year 2 months
Contributions summary:Matthieu primarily contributed to the back-end functionality of the project. Their work included fixing code blocks, adding a script for source selection analysis, modifying the Confluence connector to replace user IDs with display names, adding updates for the Slack bot, improving source feedback for the Slack bot, implementing a rate limiter for Slack questions, indexing only active pages in Confluence, adding a follow-up emoji for invalid answers, adding Slack feedback reminders, rephrasing user messages and adding labels indexing in Confluence. These commits suggest a focus on improving the functionality, integrating third-party services, and enhancing the user experience of the application.
ai-chatchatgptenterprise-searchgen-aiinformation-retrieval
cloud-custodian/cloud-custodian
Oct 2020 - Dec 2020
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
Role in this project:Cloud Engineer / Infrastructure Engineer
Cloud Engineer / Infrastructure EngineerContributions:3 reviews, 7 commits, 8 PRs in 2 months
Contributions summary:Matthieu focused on enhancing the `c7n-org` tool, adding support for Azure and GCP cloud providers. Their contributions include modifying the codebase to correctly resolve regions, manage environment variables, and parse configurations for AWS, Azure, and GCP accounts. Furthermore, they addressed configuration parsing issues related to AWS profiles and removed unnecessary environment variables, improving the tool's usability and reliability across different cloud environments.
gcpquery-filterserverlesscompliancecloud-security
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