
Christian DIDELOT
Cloud Architect / Kubernetes Expert / AI Engineer

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
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 LinkedinMy Toolbox
Name | Category | Level | Description | |
![]() | Airflow | BigData | Powerful data workflow orchestrator, perfect for automating complex data pipelines and ETL tasks. | |
![]() | Argo CD | DevOps | Reference GitOps solution for Kubernetes, enabling declarative deployment management and automatic Git synchronization. | |
![]() | Argo Workflows | CI | Kubernetes-native workflow engine for orchestrating complex tasks and distributed processing. | |
![]() | AWS | Cloud | Cloud computing leader offering the widest range of services, perfect for businesses seeking a complete cloud solution. | |
![]() | Azure | Cloud | Microsoft's enterprise cloud solution, excellent for .NET integration and enterprise services. Leader in compliance and security. | |
![]() | Cilium | Network | Cloud-native networking and security solution based on eBPF, perfect for modern Kubernetes environments. | |
![]() | Crossplane | Cloud | Innovative Kubernetes extension for multi-cloud management, transforming Kubernetes into a true cloud control plane. | |
![]() | Datadog | Monitoring | Complete cloud monitoring solution, providing unified visibility into metrics, logs and traces with integrated AI. | |
![]() | Falco | Data Security | Kubernetes intrusion detection system, crucial for container runtime security. | |
![]() | FastAPI | Dev | Modern and fast Python web framework, ideal for building high-performance RESTful APIs. | |
FastAPI | Framework | Asynchronous web framework for building APIs | ||
![]() | GitHub Actions | CI | CI/CD solution integrated with GitHub, ideal for workflow automation with excellent Git integration. | |
![]() | GitLab CI | CI | Complete CI/CD platform integrated with GitLab, offering automated pipelines, container registries and native security. | |
![]() | Goldilocks | Kubernetes | Specialized tool for Kubernetes resource optimization, helping to set optimal limits and requests. | |
![]() | Google Cloud Platform | Cloud | Comprehensive cloud platform with native Google technology integration, particularly powerful for AI/ML and big data. |
Known
Deployed
In Production
Advanced Use
Expertise
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