Freelancer profile translated to English.

Description

With over 10 years as a web developer and over 5 years of experience as a Software Engineer, I have developed expertise in backend development, particularly with Go, as well as in the design and deployment of microservices on AWS and Kubernetes (EKS and Bare-metal). I also have solid experience in setting up and optimizing CI/CD pipelines, ensuring smooth and secure deployments.

I have worked on very high-traffic cloud infrastructures, with systems processing billions of events per day and handling millions of requests per second, while respecting low latency constraints.

My expertise in observability and monitoring has allowed me to improve system resilience and performance while optimizing infrastructure costs.

I also place particular emphasis on ensuring code quality through strong involvement in writing unit and integration tests, guaranteeing the robustness and maintainability of applications.

Teamwork is an essential component of my approach: I am accustomed to collaborating closely with Product and Infrastructure teams, participating in code reviews and architectural decisions to build scalable and efficient solutions.

Finally, I am driven by a strong spirit of continuous learning and improvement. The diversity of technologies and technical challenges I have encountered has allowed me to develop a rapid adaptability, and I remain always curious to explore new solutions to meet the demands of large-scale environments.

I remain at your disposal for any further information and would be delighted to discuss the challenges and expectations related to your mission.

English Level: a score of 700/990 on the TOIEC test.

Industry field of expertise

Languages

French
Native or bilingual
English
Conversational

Workplace preferences

Can work on-site

Montpellier (up to 10km)

Electra
SRE - Kubernetes & GitOps Mission
ENERGY AND UTILITIES
December 2025 - January 2026 (1 month)
Montpellier, France
- Design and implementation of a multi-environment (dev/staging/production) and multi-region Amazon EKS cluster.
- Creation of reusable modules to standardize the creation of new clusters and facilitate service migration
- Implementation of a GitOps workflow with Flux CD to automate deployments
- Migration of an existing service to Kubernetes as a reference use case
- Writing technical documentation and defining prerequisites for deploying services on the cluster
- Setting up CI/CD pipelines for reliable and reproducible deliveries
- Application of Kubernetes and Infrastructure as Code best practices
- Improvement of deployment reliability, scalability, and supervision
Kubernetes EKS CI/CD Amazon Web Services infra-as-code
Teads France
Senior Software Engineer
PRESS AND MEDIA
August 2022 - September 2025 (3 years and 1 month)
Montpellier, France
Scala, Go backend for regionalized distributed microservices and sharded Redis clusters, without service interruption, in a regionalized environment.
Maintenance of shared libraries for standardization and code reuse.
Optimization of application performance (P99 < 150 ms) and cloud costs.
Optimization of developer experience, reduction of CI time (40 min -> 5 min)
Design of an immutable deployment system by accelerating deployment frequency (2/day -> 4/day)
Acceleration of EC2 instance startup (2 min -> 20 s).
Migration of stack from AWS ASG to Kubernetes, without interruption.
CI/CD pipelines for Kubernetes (AWS EKS).
Observability and monitoring (metrics, logs, alerting) with daily tracking and rapid interventions.
Scala Terraform Kubernetes EKS AWS
Ateme
R&D Engineer
SOFTWARE PUBLISHING
October 2019 - July 2022 (2 years and 9 months)
Vélizy-Villacoublay, France
Go backend for distributed microservices with unit, integration, and functional tests, prioritizing design and code quality.
Creation of Go libraries for reusability and standardization.
Management of dev, staging, and prod environments on Kubernetes.
Parallelizing the deployment of a CI/CD pipeline for Kubernetes (AWS EKS) and bare-metal.
Automation of bare-metal Kubernetes cluster creation.
Automated functional and load tests for reliability and scalability.
Automatic profiling to optimize performance.
Promotion of Go best practices within the team.
GO Kubernetes Helm Microservices AWS