Christian DIDELOT

Cloud Architect / Kubernetes Expert / AI Engineer

20 years exper

After 20 years of adventure in the IT world, having explored various positions and environments in SMEs, startups and major accounts, I would describe myself as a Tech craftsman, dedicated to forging tailor-made solutions that perfectly fit your issues.

Innovation and pragmatism are at the heart of my strategy, with a focus on integrating Kubernetes and Cloud. For several months now I've been developing MLOPS platforms for different needs, with a flexible Feature / Training / Inference architecture.

My mission?

My mission is to transform your IT infrastructure into a powerful, reliable tool that supports your ambitions and guarantees an optimal service.

Skills

Kubernetes Expert
AI Engineer
Cloud Architect
DevSecOps
CTO Support

What missions can I carry out

Catégorie
Description
Architecture

Facilitate architecture workshops to define technical needs and solutions.

Architecture

Define cloud architectures and implement them.

Architecture

Build multi-cluster ingress solutions for global performance needs.

Formation

Train developer teams to set up their dev guidelines.

Formation

Facilitate communities of practice to share best practices and feedback.

Formation

Train teams in Agile and Scrum methodologies

Expertise

Define and implement CI/CD pipelines to automate deployments.

Expertise

Improve your agile processes with new tools and methods.

Expertise

Set up test tools to benchmark performance.

Expertise

Support the migration of monolithic applications to microservice architectures.

Sécurité

Coaching devops teams on scalability and security practices.

Sécurité

Set up redundant, encrypted and anonymized backup systems for business continuity plans.

Sécurité

Design and manage security audits (blackbox/whitebox pentests).

AI

Deploy on-premise kubernetes clusters with GPUs for intensive computing needs.

AI

Create FTI architectures to enable data qualification, model training and use case deployment.

AI

Create agents capable of using tools and controllable by LLMs.

AI

Create vector databases for similarity search needs.

DevOps

Set up DevSecOps tools (Twistlock, OPA, Falco).

Data

Migration and optimization of Hadoop/Spark clusters for Big Data processing.

Data

Set up tools for data management and refinement.

Infrastructure

Conduct infrastructure audits to identify weaknesses and areas for improvement.

Infrastructure

Work on the network stack of kubernetes clusters to improve security and performance.

Architecture

Set up serverless patterns for event-driven applications.

Infrastructure

Define and implement monitoring and supervision architectures.

Architecture

Set up scalability solutions for distributed applications.

Experience

Optisantis

API Gateway Consultant

In an HDS (Health Data Hosting) environment, conducting a study for changing the API gateway to expose microservices


  • Development of Mocks to limit external partner calls for performance testing
  • Benchmarking of 3 API gateway solutions (Kong / Traefik / APISIX)
  • Building route profiles (circuit breaker, security, JWT management, rate limiting)
  • Implementation of autoscaling with Karpenter and robustness testing

November 2024 - December 2024

(2 month)

EDF Renewables

Solution Architect

Within an EDF subsidiary, redesign of an IoT architecture for collecting photovoltaic supervision data. Ingestion of 57M events per month.


  • Microservices architecture design
  • Definition of business domains and technical foundations
  • Development of a technical roadmap
  • Writing multi-stage architecture diagrams
  • Writing specifications and ADRs
  • Setting up AWS infrastructure

May 2024 - October 2024

(6 months)

Ask For The Moon

LLMOPS Consultant

Supporting the team on the LLMOPS part on K8s Rancher and Azure


  • Building on-premises k8S infrastructure with A100 GPUs
  • Implementing LLM monitoring tools
  • Creating a roadmap for cloud > on-premise migration
  • Guiding the team in GenAI technology choices
  • Setting up experimentation pipelines with Mlflow

July 2024 - Décembre 2024

(4 months)

Kazaplan - Adeo Service CCDP

Cross-functional technical architect / Infrastructure lead

At Kazaplan, I was in charge of cross-functional architecture for the entire project as the Infrastructure Engineering Manager.


  • Team building (recruitment, planning, roadmap)
  • Technical solution arbitration
  • Scrummaster / agile rituals
  • Creating a shared roadmap and engaging key players
  • Setting objectives


Notable technical achievements:


  • Rendering with Blender on GPU with autoscale
  • Implementation of testing tools on kubernetes
  • Deployment of AI Engineer architecture

March 2023 - November 2023

(9 months)

Wanadev

Technical Architect

Technical side:


  • Microservice design
  • Monitoring 
  • Security
  • Performance
  • Technical concept injection (sse, sso, lambda, cloud, kubernetes)
  • Data model redesign


Operational side:


  • Lead coach (posture, role, responsibility)
  • Cross-functional workshops (feature flipping, migration)
  • Development guidelines
  • Tool training (sonarqube / datadog)
  • Improvement management (kpi / board / measurement)
  • Agile transformation support (scrum / accelerate)



A few example projects:


  • Workshop on lead dev posture
  • Micro-service design (Anti Corruption Layer pattern)
  • Development stack redesign
  • Technical roadmap construction
  • Data model redesign
  • Training teams in technical documentation (code / architecture)

September 2022 - August 2023

(8 months)

SNCF

Coach K8S / Cloud Azure

February 2022 - December 2022

(11 months)

360 medics

Kubernetes / Cloud GCP Expert

  • Kubernetes architecture training for the tech team
  • Schedule and roadmap set up
  • Data audit to validate the project's suitability for requirements
  • Workshops for developers on microservice architecture
  • Coach the Ops staff on Kubernetes implementation best practices and security.

January 2022 - June 2022

(6 months)

Waays

Kubernetes / GCP Expert

  • Coaching the team on Kubernetes implementation architecture in GCP in a global CDN context
  • CD implementation with argo CD
  • Full google platform infrastructure (gke / cdn / ingress / etc)

July 2021 - December 2021

(6 months)

SNCF

Fullstack Developer

Played a part in the migration of an IAM platform based on a forgerock solution.


1. Building a new platform

    - Construction of project technical roadmap to set deadlines

    - Refactoring of helm charts (statefulset, cronjob, etc...)

    - Search for cloud backup and secret management solution

    - Provide secure docker images alpine base (stack httpd - java - tomcat - nginx)

    - Performance benchmark with jmeter scenario (SAML / OIDC)

    - Installation and configuration of datadog (log / metric /APM)

    - Proposal for kubernetes architecture on AWS (EKS, S3, secret manager.... )

    - Security audit management (pentest blackbox / whitebox)


2. Development

    - Backoffice development with python Flask / VueJS to administor the new platform's OIDC SAML client configurations.

    - 30% MCO saved

    - Deployment configuration in 5 minutes rather than 5 days (automating IS connections)

    - Configuration deployment on LDAP directories, identity federation and web services

    - Interface with forgerock and SNCF APIs

    - UX / UI design, data modeling, secure routes etc...

August 2021 - March 2022

(8 months)

SNCF

Kubernetes Lead / AWS Cloud Architect

January 2020 - September 2020

(9 months)

SNCF

Kubernetes Lead / AWS Cloud Architect

September 2019 - December 2020

(15 months)

M6 web

DataOps / DevOps

Working on M6 Web data lake with CDH 5.11 Hadoop cluster to run A/B tests.


Projetcs :

  • Data-lake migration (Hive table, HDFS data) with quality data verification
  • Setup and installation of continuous integration with Jenkins, Sonarqube, Artifactory and Docker
  • Centralisation of all projects configurations into json file (backup, quota, retention, access right, ....)

Other tasks

  • Deployment automation in clusters with Ansible (add new users / projects / quota)
  • Development, orchestration and scheduling of jobs using Python & Airflow ( coding specials plugins)
  • Setup Data-lake cleanup with Java code (delete HDFS data, clean hive partition)
  • Build Docker containers for developper
  • Setup backup data in S3
  • Setup EC2 machine with VPC on AWS
  • Tuning Hadoop Cluster to improve performance
  • POC with Apache Presto to get fast database over hive tables.
  • Data Science tool configuration (Hue / Jupyter / SuperSet)
  • Python script developement to help collegues in various use cases.
  • Analysis and resolution of incidents
  • Support to developers, data analysts and data engineers
  • Migration code from Spark 1.6 to Spark 2 to enhance performance

June 2018 - June 2019

(12 months)

Would you like to learn more about my experience?

Visit my Linkedin

My Toolbox

NameCategoryLevelDescription
AirflowBigData

Powerful data workflow orchestrator, perfect for automating complex data pipelines and ETL tasks.

Argo CDDevOps

Reference GitOps solution for Kubernetes, enabling declarative deployment management and automatic Git synchronization.

Argo WorkflowsCI

Kubernetes-native workflow engine for orchestrating complex tasks and distributed processing.

AWSCloud

Cloud computing leader offering the widest range of services, perfect for businesses seeking a complete cloud solution.

AzureCloud

Microsoft's enterprise cloud solution, excellent for .NET integration and enterprise services. Leader in compliance and security.

CiliumNetwork

Cloud-native networking and security solution based on eBPF, perfect for modern Kubernetes environments.

CrossplaneCloud

Innovative Kubernetes extension for multi-cloud management, transforming Kubernetes into a true cloud control plane.

DatadogMonitoring

Complete cloud monitoring solution, providing unified visibility into metrics, logs and traces with integrated AI.

FalcoData Security

Kubernetes intrusion detection system, crucial for container runtime security.

FastAPIDev

Modern and fast Python web framework, ideal for building high-performance RESTful APIs.

FastAPIFramework

Asynchronous web framework for building APIs

GitHub ActionsCI

CI/CD solution integrated with GitHub, ideal for workflow automation with excellent Git integration.

GitLab CICI

Complete CI/CD platform integrated with GitLab, offering automated pipelines, container registries and native security.

GoldilocksKubernetes

Specialized tool for Kubernetes resource optimization, helping to set optimal limits and requests.

Google Cloud PlatformCloud

Comprehensive cloud platform with native Google technology integration, particularly powerful for AI/ML and big data.

Known

Deployed

In Production

Advanced Use

Expertise

Articles that I read which I recommend

Medium

Let's go toget

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