Matthieu Roisil
Lead Ingénieur Système DevOps at Xplor Technologies
Greater Lille Metropolitan Area France
Summary
🤩
Rockstar🎓
Top SchoolMatthieu Roisil is a Lead DevOps/System Engineer based in the Lille area with 13 years of hands-on experience building and operating high-availability production infrastructure. He has progressed from hands-on system administration to leading teams and on-call practices, driving automation with tools like Docker, Kubernetes, Chef/Puppet and CI/CD pipelines at companies such as BlaBlaCar and Xplor. Matthieu is a pragmatic problem-solver who has designed monitoring and multi-datacenter redundancy, onboarded large GitLab userbases, and managed platforms of hundreds of servers while mentoring junior engineers. He is also an active contributor to the widely used puckel/docker-airflow project, improving Dockerized Airflow robustness and deployment flexibility. Colleagues rely on him for incident post-mortems, runbook creation and balancing operational stability with developer velocity.
13 years of coding experience
8 years of employment as a software developer
BTS Informatique de Gestion - Administrateur réseaux, BTS Informatique de Gestion - Administrateur réseaux at Lycée des Loges - EvryLicence Pro Gestion et Pilotage de Projets, Licence Pro Gestion et Pilotage de Projets at IUT de Bourges
English, French
Github Skills (11)
bash10
docker10
devops10
airflow10
dockers10
cicd10
python9
redis8
postgresql8
kubernetes3
kubernetes-pods3
Programming languages (9)
Github contributions (5)
puckel/docker-airflow
Jun 2015 - Feb 2020
Docker Apache Airflow
Role in this project:
DevOps Engineer
DevOps EngineerContributions:39 releases, 164 commits, 106 PRs in 4 years 8 months
Contributions summary:Matthieu's primary contributions focused on configuring and maintaining the Docker-based Apache Airflow environment. They implemented checks for database and message queue availability, managed the execution environment based on executor type (Celery, Local, Sequential), and automated the installation of custom Python packages. Furthermore, the user modified the entrypoint script to handle database initialization, executor selection, and environment variable configuration, which improved the overall deployment and runtime flexibility of the Airflow instance within Docker. They also bumped Airflow versions.
airflowapache-airflowdockerdocker-airflowscheduler
puckel/docker-rabbitmq
May 2015 - Sep 2016
Contributions:3 commits, 1 PR, 2 pushes in 1 year 4 months
rabbitmqdocker
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