About
Alexandre Comet, Cloud & AI Architect and Tech Lead
Developer, SRE, cloud architect, then Tech Lead: over ten years, I have seen a cloud platform from each of these seats. Today, I design Azure and Google Cloud foundations at scale, set their standards and take generative AI into production on them.
For eight years, I worked on the same foundation, that of a large international retail group: about 900 applications on Azure and Google Cloud. It taught me to live with my architecture decisions, and to evolve them.
Beyond design, I represented the platform to the vendors, Microsoft and Google alike, and helped teams build their skills, in architecture as well as in generative AI.
ETHERIA Conseil is my company: you work with me directly, from scoping to code.
Principles
How I work.
An architecture proves itself in production
I was on call before I was an architect. So I design with operations in mind: monitoring, patching, incident management. Resilience, for its part, has to be tested: I have organised several simulated outage exercises, up to the loss of a cloud zone.
AI starts with the platform
Identity, network, data, costs: an AI project is won or lost on the platform, long before the choice of model. Without private access to data, an access model and inference cost tracking, a proof of concept stays a proof of concept. Three generative AI agents run in production on this principle, with access to AI services governed by policies.
Built to be taken over
Architecture documents, ADRs, Terraform modules, runbooks: every engagement leaves documents and code your teams can take over and evolve. The reference patterns and architecture documents I owned were followed by every product team.
At a glance
- Location
- Paris
- Languages
- French (native), fluent English
- Experience
- 10 years, 8 of them on Azure and Google Cloud · freelance since January 2021
- Active certification
- Microsoft Certified: Azure Administrator Associate (first obtained in 2018, renewed in 2026)
- Cloud
- Azure (expert), Google Cloud (advanced) · landing zones, Cloud Adoption Framework, platform engineering · Entra ID, PIM, Azure Policy, Organization Policies
- Tooling
- Terraform, Ansible · Kubernetes (AKS, GKE), Docker · Jenkins, GitLab CI · Python, Bash, PowerShell
- Reliability
- SRE, SLI/SLO, chaos engineering
- Generative AI
- Agents, RAG, MCP, n8n, OpenAI, Gemini, Microsoft Foundry, Azure AI Search, pgvector
Background
Since February 2024
Tech Lead, Cloud & AI Architect (freelance) · large international retail group
Tech Lead of the Architecture team (3 architects): architecture standards, design reviews, upskilling. Three generative AI agents in production, with governance of AI services.
January 2021 – February 2024
DevOps Engineer, then Cloud Architect (freelance) · same group
In the team of 8 responsible for the Azure and Google Cloud landing zone: shared Terraform modules, Azure Policy guardrails, networking, access governance.
May 2018 – January 2021
CloudOps / SRE · same group
Level 3 support, production incidents, post-mortems, on-call. Operations automation with Ansible: level 1 and 2 support tasks cut by more than 50%.
September 2016 – May 2018
.NET / Azure developer
Natural language processing and sentiment analysis with Azure Cognitive Services.
Certifications
Active
- Microsoft Certified: Azure Administrator Associatefirst obtained in 2018, renewed in 2026
History (no longer active, year obtained)
- Microsoft Certified: Azure AI Engineer Associate2024
- Microsoft Certified: DevOps Engineer Expert2020
- Microsoft Certified: Azure Developer Associate2019
- MCSE Cloud Platform and Infrastructure2018
- MCSA Cloud Platform2017
Education
- MSc Computing & Entrepreneurship, University of Kent2016 · double degree with EPITECH
- French RNCP level 7 title "Expert en technologies de l’information"EPITECH Paris
Contact
Talk to me directly.
Describe your context and I will get back to you within two working days.
Describe your context- Location
- Paris
- Network
- LinkedIn(new tab)