Freelancer profile translated to English.
Back to original languageAbout Clément
Back-End & DevOps Engineer | Node · Python · TypeScript · GCP
Do you have aproductto build or a back-end to get into production, and are you looking for a developer who delivers end-to-end — from code to **deployment**?
Give me a need, even a vague one: an MVP to validate, a SaaS feature, an API to take over. We'll decide together what to build first, and you'll get a version that truly works. Your back-end is my core business —Node/NestJSandPython/FastAPIon PostgreSQL — and you don't need an additional DevOps profile: I'll handle your production deployment (**Docker, Terraform, CI/CD**) on **GCP**.
What my clients have achieved:
RewardPulse: Redesign of a B2B product into modular NestJS services, first service in production2 weeksafter starting.
Club Med: Python back-end and APIs in production for 2 years, automated cloud infrastructure,-50%cost reduction.
namR: Enrichment services + Kubernetes infra redesign,-80%infrastructure cost reduction.
You get a single point of contact for back-end, cloud, and production. And when your product needs a front-end, I also work with **React**.
Have a product to launch or an API to take over? Describe your need in three lines, even if it's vague. I'll respond within the hour.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Bordeaux (up to 50km), Nantes (up to 50km)
Experience
- RewardPulseBack-End Developer | NestJS, React & GCPSOFTWARE PUBLISHINGNovember 2025 - May 2026 (6 months)Paris, France🎯 Mission ObjectiveRedesign and industrialization of RewardPulse's B2B multi-tenant loyalty program platform: transition from a monolith (with no-code tooling for part of the back-office) to a modular services architecture, consolidation into a monorepo, and secured delivery — end-to-end backend and front delivered.🔧 Achievements
- Consolidation of several repositories into a single monorepo (**10+ services, 15+ shared packages**), incremental build, and automated quality pipeline.
- Event-driven redesign and DDD patterns (Notification Gateway, Transactional Outbox, Thin Events, Bounded Contexts) — inter-service communication via Pub/Sub.
- Services in hexagonal architecture: notification orchestration, batch commands, catalog synchronization, OCR validation, partner APIs.
- GCP infrastructure in Terraform (review apps per MR, global load balancing + WAF, parallel DAG CI/CD) and end-to-end security.
🧰 Technical Stack- **Backend**: NestJS, TypeScript, Prisma, Drizzle, Zod
- **Architecture**: DDD, Hexagonal, Event-Driven (Pub/Sub)
- **Frontend**: TanStack Start (SSR), React, Vite
- **Cloud**: GCP (Cloud Run, Cloud SQL, Pub/Sub, GCS)
- **IaC & CI/CD**: Terraform, GitLab CI
- NaptaBack-End Developer | Python, AWS & PostgreSQLSOFTWARE PUBLISHINGNovember 2025 - November 2025Paris, France🎯 Mission ObjectiveAudit of the back-end layer of a B2B project management platform (PSA) in scaling phase: study of architecture scalability, identification of performance bottlenecks, and construction of an actionable evolution roadmap.🔧 Achievements
- Complete audit of the back-end layer and architecture, mapping bottlenecks and risk areas.
- Benchmarking of pipelines and PostgreSQL / serverless queries — performance measurements under realistic load.
- Exploration of target architectures (event-driven, service decoupling, store optimization).
- Delivery of a documented audit and validation of a prioritized scalability roadmap, aligned with product constraints.
🧰 Technical Stack- **Backend**: Python, SQL
- **Cloud & Data**: AWS (Lambda, RDS), PostgreSQL
- **Architecture**: Data Modeling, Performance Optimization, Scalability Strategies
- **Methods**: Architecture Audit, Benchmarking, Technical Roadmap
- pass CultureBack-End, DevOps & Data | FastAPI & KubernetesCULTUREJune 2025 - December 2025 (6 months)Paris, France🎯 Mission ObjectiveStabilization and industrialization of the Pass Culture internal platform: strengthening the back-end (FastAPI APIs, DevOps practices), industrializing orchestration on managed Kubernetes, and cost optimization, with a skills transfer approach to the team.🔧 Achievements
- Contribution to internalFastAPI APIsand strengthening of DataOps practices (testing, CI/CD, centralized logging).
- Redesign of the orchestration infrastructure on managed Kubernetes:-86%infrastructure costs (resizing, tuning, workload review).
- Optimization of analytical data warehouse costs:-54%storage costs.
- Industrialization of CI/CD and GitOps (GitHub Actions, ArgoCD) for a more scalable and reliable platform.
- Skills upgrade for the team (cloud architecture, Terraform/Terragrunt, backend best practices).
🧰 Technical Stack- **Backend**: Python, FastAPI
- **Orchestration & Data**: Airflow, dbt
- **Cloud**: GCP (GKE, BigQuery, Cloud Logging)
- **IaC**: Terraform, Terragrunt
- **CI/CD & GitOps**: GitHub Actions, ArgoCD
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Education
- Applied Machine Learning in Python Applied Plotting, Charting & Data Representation in Python Orthodidacte MOOCApplied Machine Learning in Python Applied Plotting, Charting & Data Representation in Python Orthodidacte MOOC
- Engineering DegreeCentrale Marseille School2022Diplôme d'ingénieur