Über Thomas
Specializing in creating scalable, high-availability solutions with Kubernetes and advanced CI/CD automation. With expertise in Python, Helm, Ansible, and GPU workflows, I excel in optimizing AI/ML systems and building robust, automated infrastructures. I have a proven track record of successfully migrating Git repositories and managing Kubernetes clusters in high-availability setups, ensuring seamless integration and scalability across platforms. Whether you're looking to streamline your development pipeline or optimize performance, I bring a developer’s insight and a DevOps engineer's precision to every project.
Französisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Vor Ort möglich
Paris (bis zu 50 km)
Projekt- und Berufserfahrung
- AnotherBrainIngénieur DevOpsMärz 2023 - Heute (3 Jahre und 3 Monate)Paris, France- Developed and maintained the CI/CD ecosystem using Buildbot, written entirely in Python, automating deployment pipelines.- Modernized CI/CD infrastructure by deploying Woodpecker CI with custom Helm charts for scalable workflow management.- Migrated from Gerrit to Gitea to streamline code repository management.- Deployed and managed Kubernetes clusters with kubeadm and k3s in a high-availability (HA) setup using Ansible.- Handled Kubernetes app versioning with Helm, helmfile, and integrated CI/ CD pipelines.- Optimized AI/ML workflows with CUDA and ClearML, implementing auto scaling for AI/ML agents.- Managed Nvidia GPU workflows (2080Ti, Quadro RTX 6000, RTX 4090Ti) via Nvidia Operator, optimizing GPU resource allocation.- Developed production-grade Python software using Poetry, docker-compose, and devContainers for project lifecycle management.- Conducted experiments with Docker Swarm to explore orchestration alternatives.- Developed custom Golang scripts to enhance Kubernetes autoscaling and pod lifecycle management.- Led a Proof of Concept (PoC) to evaluate Git forge platforms (GitLab, Gitea, Gerrit) and CI/CD tools like DroneCI and GitLabCI.- Automated Kubernetes backups using Velero, restic, and Longhorn on a self hosted MinIO S3 setup.- Built a demo platform for AI solutions using blue-green deployment, working closely with development teams.- Optimized CI pipeline execution times by sharing SMB installation caches for Python scripts.- Proficient in Agile methodologies (Scrum, Kanban) and experienced in advanced Python code reviews to ensure high code quality.- Designed and architected scalable, distributed systems in Python for production environments.
- Claranet FranceIngénieur Devops InfrastructuresMärz 2021 - März 2023 (2 Jahre)Paris, France- Creation of a REST API allowing to link several services in order to give the customer a visualization ofdeployed VM in seconds (instead of 15+ minutes previously).- Created documentation for internal processes.- Developped a tool to crawl VMs properties in VMware vCenter and vCloud director in less than 1 min.- Maintained Git workflows for version control (config and code).- Implemented a CI/CD pipeline for deploying application updates across multiple environments.- Creation of an internal tool to instantly update the information of a VM via webhook.- Usage of internal Terraform templates to deploy VMs in infrastructures with basic checks.- Creation of an internal tool for setting up and monitoring automatic alerts in Jira .- Listening and following the needs of the different teams for the implementation of new functionalitiesdepending on the specific infrastructure needs.
- Claranet FranceDevOps EngineerSeptember 2020 - Februar 2021 (5 Monate)
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Ausbildung und Abschlüsse
- Master of Data ScienceESME-Sudria | Ecole Spéciale de Mécanique et d'Electricité2020Master 2 (M2), IOT, Data, IA, Machine Learning, Database
- Baccalaureat, ScientifiqueSt Michel de Picpus2015Baccalaureat, Scientifique