Alexandre Garden

🧑‍💻 Mission Context

Participation in the development and maintenance of several Cloud-native platforms within a multi-cluster Kubernetes environment hosted on OVH Cloud.

All combining automated infrastructure, Kubernetes orchestration, and Go backend services.

The projects aim to provide isolated, scalable, and automated environments for educational, scientific, and AI-ops purposes.

⚙️ Key Achievements

• 🌩️ Automated Cloud Infrastructure with Terraform, Ansible, and Packer (provisioning, scaling, updates)

• 🐳 Kubernetes Orchestration: multi-cluster management (Helm, ArgoCD, Prometheus, Vault, NGINX Ingress)

• 🚀 Full application deployment: educational platforms, AI services, inference models, ML pipelines, and internal tools

• 💻 Backend and internal tools development in Go, Java, and JavaScript for container management and inter-service communication

• 🧠 MyDocker Project: creation of an educational container platform integrated with LMS (Docker Swarm → Go + Java + Angular)

• 🤖 AI-ops Project (IaaS type): deployment of LLM model inference environments (Mistral, Llama, Qwen, GPT) on multiple clusters, supervision, and GPU scalability

🔐 Results and Impact

• Reproducible and scalable infrastructure

• Automated deployment and provisioning of complex applications via CI/CD

• Multi-cluster scalability optimized for application and AI workloads

• Synergy between infrastructure and Go development for better operational integration

• Establishment of a sustainable DevOps foundation for future AI and educational platforms

🎯 Mission Context

Development, sharing, and industrialization of tools for several technical services, within a multi-service and agile framework. The objective: to transform isolated tools into truly reusable, shared, and operational services.

⚙️ Key Achievements

• Design of DevOps tools in Go and Python, meeting the needs of several internal teams.

• Refactoring and sharing of existing tools to convert them into deployable centralized services.

• Adoption of the Configuration as Code approach: Jenkins pipelines, groovy scripts, CI/CD integration (GitLab CI/CD) to automate roll-outs.

• Containerization of services using Docker/Podman for standardization and rapid deployment.

• Agile work with business-technical teams to ensure the usage, integration, and quality of the tools.

📌 Impact & Results

• Increased sharing of internal tools, reduction of redundancies, and improved maintainability.

• Faster automation and deployment of DevOps services, reduction of manual tasks.

• Better integration between development and operations: a more homogeneous, scalable, and reliable DevOps tools platform.

🎯 Mission Context

Installation, configuration, and support of virtualized environments, then development of an API and a user interface for an LDAP server. The objective: to modernize the infrastructure, automate deployment processes, and provide a web-accessible solution for identity management.

⚙️ Key Achievements

• Setup of virtual machines under VMware ESXi: installation, configuration, and operational support

• Backend development in Node.js (Express) for an LDAP server and creation of a web interface in Vue.js

• Creation and management of a CI/CD pipeline with Jenkins, design of Groovy scripts in Configuration as Code

📌 Impact & Results

• Transition from a manual infrastructure to a more automated platform

• Improved identity management thanks to the API + web interface, facilitating access and administration

• Implementation of a CI/CD pipeline process that reduced manual tasks and improved update responsiveness