Emile Metral · France & Mauritius
Reliable platforms.Intelligent operations.
I design multi-cloud and Kubernetes platforms that stay up, and the AI agents that make them easier to run.
- CKACertified Kubernetes Administrator
- CKSCertified Kubernetes Security Specialist
- PCSEProfessional Cloud Security Engineer
- SAASolutions Architect — Associate
01 — About
Four years keeping business‑critical systems up.Now bringing AI agents into how they're built and run.
I'm a Solution Architect for AI & Cloud Infrastructure at TeamWork, in Mauritius, designing AI‑driven cloud solutions for clients across Europe and Africa.
Before that I was an SRE / Platform Engineer at Veolia in Lyon, France: production GKE, Kubernetes security, a hybrid network spanning three clouds and on‑prem, low‑downtime migrations and multi‑cloud FinOps. Production first, guardrails always, humans in the loop.
- 4+
- years running business‑critical platforms in regulated environments
- 100+
- servers operated across a hybrid GCP · AWS · Azure · VMware estate
- 3
- clouds in production, plus on‑prem — one consistent way of running them
Certified
- CKACertified Kubernetes AdministratorCNCF · The Linux Foundation
- CKSCertified Kubernetes Security SpecialistCNCF · The Linux Foundation
- PCSEProfessional Cloud Security EngineerGoogle Cloud
- SAASolutions Architect — AssociateAmazon Web Services
02 — Work
Six areas, one way of working: built to run in production.
01/20GCP
01/19vSphere 8
01/19Cloud IAM
01/14AI help desk
01/08Cost pipeline
01/07Réviser
Cloud, Kubernetes and Linux — down to the kernel. Multi-cloud foundations, shared Kubernetes platforms and the Linux servers underneath — run, tuned and debugged so product teams never have to think about nodes, keys, pipelines or I/O.
Moving critical systems without the 3 a.m. rollback. Replatforming and migrations planned for low downtime, on top of a hybrid network that ties on‑prem, GCP, Azure and AWS together.
Secure by default. Seen before it breaks. Guardrails from the admission controller to the endpoint, and observability that answers real questions during an incident.
Agents that do real work, with guardrails. Generative AI wired into real workflows — phone lines, chat, ticketing, image pipelines, operations — with tests, fallbacks and humans in the loop.
Every euro accounted for, across three clouds. Cost visibility and automation across GCP, AWS and Azure — so spend is explained, allocated and switched off when nobody is using it.
Side projects, run like production. Things I build because I want them to exist — and run with the same standards as client work.