Hard Skills — Cloud, DevOps & Platform
Software quality is not only about shipping code; it is about production reliability. I approach industrialization pragmatically: reproducible environments, reliable CI/CD pipelines, operational visibility and risk control. The goal is to deploy more frequently and more safely.
Core capabilities
Cloud
Microsoft Azure, Amazon Web Services (AWS), hosting, managed services, access control
Infrastructure
Docker, Docker Compose, Linux, server management, reproducible environment setup
CI/CD & Ops
GitHub Actions, continuous integration and deployment pipelines, monitoring, alerting, centralized logs
What this changes in practice
- Safer, more frequent deployments through automated pipelines: build, tests, lint, release from a single commit.
- Lower incident resolution time with structured logs, dashboards and alerts: issues are detected before users report them.
- Environment consistency across local, staging and production: "it works on my machine" becomes the exception.
- Incremental reliability gains via DevOps practices adapted to team size and product stage.
- Security basics done right: secret management, least-privilege permissions, dependency updates, vulnerability checks.
Applied DevOps practices
- Containerization: Dockerized services for portability and isolation.
- CI/CD pipelines: automatic regression checks and deployment flows without manual friction.
- Observability: structured app logs, performance metrics and traces for distributed flows.
- Configuration management: environment variables, secret handling, config-code separation.
- Infrastructure as Code mindset: versioned environment definitions that are reproducible and auditable.
Related experience
Apogée Consult · Co-Founder & CTO (Jul 2025 – Present)
End-to-end industrialization stack setup: CI/CD (GitHub Actions), Docker containerization, cloud deployment, monitoring and alerting. Direct responsibility for production reliability on B2B client projects.
Métropole de Lyon & Superwyze (2023 – 2025)
Work in real production-constrained environments: frequent releases, existing pipeline maintenance, Linux server operations and integration into established cloud stacks.