Jérémy Goutin

Solutions Architect. Freelance expert in software, cloud, & DevOps

contact@jgoutin.dev
https://jgoutin.dev
https://www.linkedin.com/in/jgoutin
https://github.com/jgoutin

Key Skills

Cloud Architecture

AWS Expert with extensive experience:

Serverless and classical cloud solution architecture
Mastered services: VPC, EC2, ELB, RDS/Aurora, Lambda, DynamoDB, CloudFront, CloudWatch, SQS, SNS, SES, Cognito, Route53, S3, ECS, IAM
Infrastructure as Code with Terraform
Cloud security: least privileged IAM policies, VPC firewall, SecurityHub
FinOps: cost optimization and multi-account architecture
Successfully passed external security audit

Other Cloud Providers:

Microsoft Azure: AAD, MS365, Azure DevOps
OpenStack
Alibaba Cloud

Software Development

Python Expert with strong experience in:

Software architecture and data model design
Web backend development and REST API with FastAPI
Database management with SQLAlchemy (PostgreSQL) and DynamoDB
Scientific Python: Numpy, Scipy, Pandas, Matplotlib, Cython
Quality code, automated testing, and maintainability

DevOps & CI/CD

Architecture and implementation of complete CI/CD pipelines
Total automation from push to production deployment
DevSecOps: security integration in pipelines
GitOps: infrastructure and deployment management via Git
GitHub Actions, GitLab CI/CD, Azure Pipeline, AWS CodeBuild
Web service and software package deployment
Ansible for server configuration
Docker for containerization

Artificial Intelligence & LLM

LLMOps: deployment and management of language models in production
Enterprise AI platform architecture with data governance
RAG (Retrieval-Augmented Generation) integration to enrich LLM responses
Use of AWS Bedrock for access to various language models
Implementation of AI chatbots and development assistants

System Administration

Linux: Expertise on Fedora, CentOS, Debian, Ubuntu, Alpine Linux

Configuration and automation with Ansible
Security and hardening of Linux
Firewall management with PfSense
Storage with TrueNAS

Functional Skills

Complete solution architecture
Complex problem solving
High autonomy and critical thinking
Proactive and rigorous
Best practices compliance
Fast learning of new technologies

Significant Projects

Enterprise AI/LLM Platform (July-August 2025)

Context: Freelance Project
Achievements:

Creation of a centralized solution to exploit LLM models with data governance
Deployment of an LLM platform on AWS infrastructure
Development of a chatbot as a single, controlled access point to AI capabilities
Integration of RAG (Retrieval-Augmented Generation) to enrich responses with internal documents
IDE integration to enable development teams to generate and improve code
Use of AWS Bedrock for access to a varied portfolio of language models
Strict governance to protect company data

Technologies: AWS Bedrock, Python, RAG, LLM, AI

GitLab Runners Migration to AWS Serverless Architecture (March-June 2025)

Context: Freelance Project
Achievements:

Complete migration of CI/CD infrastructure to AWS serverless architecture
Deployment of GitLab runners based on ECS Fargate ARM for generic tasks (Terraform, curl, linters)
Implementation of GitLab runners leveraging AWS CodeBuild for compilation tasks
Abandonment of static IAM access keys in favor of temporary least privileged IAM roles
Centralization and securing of secrets management (Docker registries, Maven and NPM repositories)
Native support for ARM64 architecture for Docker image building
Notable performance improvement and reduction of waiting times
On-demand scalability eliminating job congestion
Significant optimization of operational costs

Technologies: GitLab CI/CD, AWS (ECS Fargate, CodeBuild, IAM), Docker, ARM64

AWS Infrastructure Standardization with Terraform (October 2023-October 2024)

Context: Freelance Project
Achievements:

Development of reference architectures via reusable Terraform modules
Migration from legacy EC2 architectures to AWS managed services (ECS, Aurora, Lambda, SQS, SES)
Creation of modules with clean interface encapsulating advanced and complex configuration
Native integration of security best practices (least privileged IAM, security groups, encryption, monitoring)
Notable reduction in time to set up new applications
Improved reliability through standardization
Simplified infrastructure maintenance
Adoption of DevOps processes by development teams

Technologies: Terraform, AWS (ECS, Aurora, Lambda, SQS, SES, IAM), Infrastructure as Code

Multi-Account AWS VPC Architecture (October 2023-April 2024)

Context: Freelance Project
Achievements:

Design and implementation of a multi-account Dualstack (IPv4/IPv6) shared VPC
Integration of AWS Network Firewall, Route53 Resolver Firewall, AWS Site-to-Site VPN
FinOps optimization with simplified and centralized management
Configuration of VPC Endpoints to secure communications
Architecture enabling optimal scalability and security

Technologies: AWS VPC, Terraform, Network Firewall, Route53, VPN

Complete Web Platform V2 (2018-2023)

Context: Accelize - Architecture & Development
Achievements:

Cloud Architecture:

High availability web service with multi-AZ EC2 backend
Angular frontend with S3 and CloudFront
Serverless microservices based on Lambda
User authentication with Cognito
Fully automated deployment via CI/CD

Software Architecture:

Complete design of SQL (PostgreSQL) and NoSQL (DynamoDB) data models
Main backend development in Python with FastAPI and SQLAlchemy Core
Python microservices design and development
Definition of all internal and external APIs (REST)
Testing and monitoring strategies
Optimized Linux configuration for EC2 servers

Technologies: AWS (EC2, Lambda, S3, CloudFront, Cognito, DynamoDB, RDS), Python, FastAPI, SQLAlchemy, PostgreSQL, Terraform

FPGA Application Execution Service in the Cloud (2018-2023)

Context: Accelize - Cloud Architecture
Achievements:

Serverless architecture for executing public FPGA demos
Automatic provisioning and termination of FPGA instances on AWS and OpenStack
Securing Docker execution (isolation, sandboxing)
Use of Lambda, CloudFront, S3 for infrastructure
Automatic resource lifecycle management based on demand

Technologies: AWS (Lambda, CloudFront, S3, EC2), OpenStack, Docker, Python

Serverless Linux Package Repositories (2018-2023)

Context: Accelize - Cloud Architecture
Achievements:

Serverless architecture to host Debian and Red Hat repositories
Distribution via S3 and CloudFront with high availability
Automated package addition via CI/CD (internal packages)
Web service for partners (external package upload)
Automatic metadata and GPG signature updates
Use of Lambda for asynchronous processing

Technologies: AWS (S3, Lambda, CloudFront), Python, CI/CD, GPG

Secure AWS Development Environment (2018-2023)

Context: Accelize - Cloud Architecture
Achievements:

Design of a multi-user internal development environment
Resource ownership system for traceability
Least privileged IAM policies for each developer
Automatic cost management with orphaned resource termination
Automatic backups of development instances
Monitoring and alerting on expenses

Technologies: AWS (IAM, EC2, CloudWatch, Lambda), Terraform, Python

Corporate IT Infrastructure (2018-2023)

Context: Accelize - System Administration
Achievements:

Complete architecture based on Microsoft Azure, AAD, MS365
Single Sign-On (SSO) between all services (AWS, GitHub, MS365)
Migration from Google Workspace to MS365
Automated Windows laptop management (provisioning, configuration, security)
Azure DevOps administration and repository management

Technologies: Microsoft Azure, AAD, MS365, AWS, GitHub, PowerShell

DevSecOps CI/CD Pipelines (2018-2023)

Context: Accelize - DevOps
Achievements:

Design and implementation of numerous CI/CD pipelines
Complete automation: testing, validation, security, deployment
Integration of automatic security scans (DevSecOps)
Automated creation and update of Linux images with Ansible
Building and publishing optimized Docker images
Automatic deployment of web services and packages

Technologies: Azure Pipelines, GitHub Actions, Docker, Ansible, Python

Optical Analysis Software (2013-2017)

Context: Thales SESO - Software Development
Achievements:

Complete development of optical analysis software for Windows
More than 70 feature modules in a scalable architecture
Advanced optical calculations and image processing
Performance optimization with Numpy and Cython
Complete user interface with Qt
Research and implementation of specialized algorithms
Automation of optical test benches

Technologies: Python, Qt, Numpy, Scipy, Cython, Windows

Test Software for Test Bench (2017-2018)

Context: SuperSonic Imagine - Software Development
Achievements:

Development of electronic test software on Debian
Client/server architecture for remote control
Instrumentation and communication with various equipment
Calculation optimization with Numpy
Implementation of SPC method (Statistical Process Control)
Automated test scenarios

Technologies: Python, Debian, Numpy, Serial/TCP Communication

Open Source Contributions

Active contributor on various open source projects available on GitHub:

Development and maintenance of Python libraries
Contribution to third-party projects
Creation of tools for the community

https://github.com/jgoutin

Languages

French: Native
English: Professional in writing, intermediate in speaking
German: Basic notions

Availability

Currently available for consulting missions as a freelance.

Preferred areas of intervention:

Cloud architecture and development (AWS)
Python development (backend, API, microservices)
DevOps and CI/CD
Software architecture
Cloud and system security
Infrastructure migration and modernization

Company registered in France - Siren 978307999 - Siret 97830799900018