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Christophe DelaitreCD

Christophe Delaitre

Kubernetes Docker DevOps Engineer

€699/day
Dijon, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Christophe

For several years, I have been working as a DevOps & Azure Cloud expert, specializing in the implementation of secure, automated, and reliable environments based on AKS, Terraform, Azure DevOps, and Defender for Cloud.

My last mission (4 years) allowed me to build a complete Cloud infrastructure from scratch, hosting both critical applications and AI workloads (Azure OpenAI, RAG).
I designed multi-environment CI/CD pipelines, deployed several hardened AKS clusters, integrated Defender security, and implemented custom self-healing and autoscaling mechanisms.

I enjoy transforming an existing technical framework into a robust, sustainable, and controlled foundation.
My role begins when the governance is defined: I take over to build, secure, and industrialize the actual environments, up to their production deployment and handover to internal teams.

In parallel, I created within my company a sovereign AI LAB around the SolarOps IA project, dedicated to the supervision and energy optimization of a home equipped with solar, battery, and a connected meter. This project combines IoT, real-time data, Codex AI Agent in WSL Ubuntu, Ollama, Docker, Python, InfluxDB, Grafana, Mosquitto, NAS, and Nvidia GPU RTX, with a local architecture focused on observability, event detection, and preparation of an AI layer for energy management assistance.

What excites me is to see a system function perfectly because it was designed with precision, rigor, and respect for the business.
  • English

    Fluent

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • SASU CDELAITRE
    Sovereign AI LAB - SolarOps IA Project
    ENERGY AND UTILITIES
    January 2026 - Today (7 months)
    Dijon, France
    SolarOps IA is an internal AI LAB created within my company to experiment with the supervision and energy optimization of a house equipped with solar panels, battery, and a connected meter.

    The project aims to analyze electricity flows in near real-time, monitor consumption, network import/export, peak loads, and battery usage, in order to prepare decision support scenarios to improve self-consumption, reduce losses, and optimize usage according to peak/off-peak hours.

    Technically, the platform relies on a self-hosted local architecture combining a Windows 11 Pro PC, Ollama, WSL Ubuntu, NAS, Docker Compose, Python, MQTT Mosquitto, InfluxDB, Grafana, and an NVidia RTX 4090 GPU.

    Data is collected from a Shelly Pro 3EM via HTTP/RPC API, historized in a time-series database, visualized in Grafana, and processed by custom collectors and event detectors.

    The LAB also integrates a local AI component with Ollama, LLM models running locally (lama3.1:8b), and the Codex AI agent in WSL Ubuntu for structured prompt generation, development assistance, code correction, and progressive industrialization of components.
    Ollama Codex Artificial Intelligence IoT Solar Energy
  • Cabinet Audit
    Kubernetes Azure Cloud DevOps Engineer
    CONSULTING AND AUDITS
    October 2021 - October 2025 (3 years and 11 months)
    Paris, France
    Member of the Cloud DevOps Integration Team
    - Automation of Spokes creation under Terraform in an Azure Hub & Spoke Cloud architecture: VNet, Subnet, LoadBalancer, Linux VM, PostgreSQL Database, Storage account, Recovery service, Key Vault, Private End Point, Log Analytics.
    - Installation and maintenance of Runtime Fabric MuleSoft clusters (API runtime appliance under Kubernetes) using Azure ARM templates.
    - Installation of infrastructure agents: Azure OneAgent, anti-virus, Dynatrace
    - Terraform of Spokes and installation of SonarQube on Linux VM
    - Creation of RTF cluster Monitoring dashboards on Dynatrace and Azure
    - Log forwarding and processing on Dynatrace
    - API performance tests with OctoPerf, K6 tools
    - Documentation writing: installation procedures, operational guides, and sheets
    Microsoft Azure Terraform Kubernetes Dynatrace Azure DevOps
  • ENGIE - GEM
    Senior Consultant - Kubernetes Azure Cloud DevOps
    ENERGY AND UTILITIES
    September 2017 - September 2020 (3 years and 1 month)
    Paris, France
    - Infrastructure: Azure Cloud - Rancher, Kubernetes - Ubuntu VM - LXC/LXD
    - Continuous Integration: GitLab-EE & CI Runners, Azure DevOps, Docker, Registry, Ansible
    - Automated Pipelines: Build, Unit & Integration Tests, Release, Deploy, Sonar Quality
    - Performance: Blazemeter, JMeter, Locust
    - Monitoring: Prometheus, Collectd, Graphite, Grafana
    - Events: Splunk, Agent forwarder, Dashboards, Alerts, Slack notify
    - Data Streams: Kafka, Confluent Platform, CMAK, Mirror Maker
    - Project Context: Angular Frontend, Data API, Postgres DB, Airflow
    Microsoft Azure Kubernetes Gitlab Splunk Azure DevOps

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Education

  • Graduate Engineer from ENSEIRB
    ENSEIRB-MATMECA Bordeaux (33)
    1998
    Filière Informatique Spécialité Technologie de l'Image et de la Communication
  • Terraform
    Ambient IT
    2021
    Formation Terraform sur AWS : - Ressources, modules, variables, outputs, templates - Provisionning : VPC, Route table, Gateway, EC2, EIP, Load Balancer

Skill set

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