−15 %
Infrastructure spend
30% lower cost per run on the heaviest PostgreSQL queries through query and index tuning.
SFR · Outcomes documented in my CVJulien Esnault
Engineering with financial discipline.
Cloud architecture, cost optimisation and reliable delivery. Full-Stack and Data Engineering expertise applied to business-critical platforms.
Open to opportunities worldwideExperience across cloud cost management, business-critical software and data infrastructure. Selected outcomes from my work at SFR.
−15 %
30% lower cost per run on the heaviest PostgreSQL queries through query and index tuning.
SFR · Outcomes documented in my CV−30 %
99% success on Kafka exchanges and 25% fewer business rejections.
SFR · Outcomes documented in my CV÷ 2
Quality gates, repeatable deployments and a 97% pipeline success rate.
SFR · Outcomes documented in my CVSEP. 2021 — SEP. 2026
Paris, France

Lead Full-Stack Developer · Java / React
Technical lead on Gencia, SFR’s business-critical platform orchestrating fibre connection workflows, used daily by field teams and partners. End-to-end ownership from the React front end to Java microservices, Kafka streams and GCP hosting.
THE WORK BEHIND THE OUTCOMES
I owned Gencia end to end: React/TypeScript front end, Java Spring Boot microservices, Kafka event-driven flows and GCP hosting. I worked directly with the Product Owner to turn user needs into technical specifications, in an Agile (Scrum, Kanban), product-driven setup with TDD, SOLID principles and hexagonal architecture.
Built Java Spring Boot microservices and REST APIs documented with OpenAPI, consumed by the React front end and internal partners. Redesigned the UI/UX in React/TypeScript.
40% lower P95 latency on critical screens
Designed asynchronous Apache Kafka flows (producers/consumers, error recovery, deduplication) to make business-critical exchanges reliable.
99% exchange success · 25% fewer business rejections
Applied hexagonal architecture (DDD), automated unit, integration and functional tests, and made code reviews systematic.
30% fewer post-release defects
Built GitHub Actions pipelines with quality gates. Ran Docker workloads on GCP (Cloud Run, Kubernetes), optimising costs and elasticity.
Releases 2x faster · 97% pipeline success · 15% lower infrastructure spend
Optimised queries and indexes on the heaviest PostgreSQL workloads.
30% lower cost per run on the heaviest queries
Integrated generative AI into the development lifecycle (testing, code review, security) and maintained living documentation with MkDocs.
AI-assisted dev workflow · living docs
Stack: Java, Spring Boot, React, TypeScript, Node.js, Apache Kafka, REST APIs, PostgreSQL, Docker, Kubernetes, GCP (Cloud Run), GitHub Actions, Datadog, Terraform, MkDocs. Outcomes documented in my CV.
JAN. — DEC. 2021
Station F, Paris

Full-Stack & 3D Software Engineer
Early-stage startup specialised in biomechanical analysis through 3D scanning. From scan data to real-time WebGL visualisation: an investor demo delivered in under 8 weeks for a strategic fundraising round.
THE WORK BEHIND THE OUTCOMES
At Station F, I worked with the founders to turn biomechanical scan data into an interactive demonstrator for investor presentations, iterating quickly on product feedback.
Built the interactive demonstrator used as the main fundraising presentation. Scoped and prioritised investor-ready features with the founders, and packaged reproducible demo scenarios with clear product storytelling.
Investor demonstrator delivered in under 8 weeks
Integrated the biomechanical scan-to-3D rendering pipeline and optimised the WebGL rendering engine for smooth, consistent navigation during demos.
60 FPS in key demo scenarios
Profiled the application, preloaded key 3D assets and added caching to cut startup time and make the demo feel more responsive.
Startup reduced from 5.5s to 1.9s · 65% faster
Implemented scan data ingestion and normalisation with validation and error handling. Added targeted tests and development conventions to reduce crashes and blocking behaviour as the prototype evolved.
98% processing success on test/demo datasets · 99% crash-free internal demo sessions
Results documented in my CV; performance and reliability figures refer to test datasets and demo scenarios.
Cloud & FinOpsAWS · GCP · FOCUS · allocation & showback
DevOps & IaCTerraform · Kubernetes · Docker · CI/CD
Full-Stack & DataReact · Next.js · Python · SQL · observability
Professional qualifications in Cloud & FinOps, supported by continued learning in data engineering and artificial intelligence.
CertificationAmazon Web Services
CertificationThe Linux Foundation
CertificationFinOps Foundation
13 credentials, including the 3 featured certifications above
Claude with Amazon BedrockAnthropic · TrainingMarch 2026
SQL AssociateDataCamp · CertificationFebruary 2026
Quantitative ResearchJ.P. Morgan · Forage · Job simulationDecember 2025
Machine Learning: Concepts & Practical ProjectsSkills4All · Course completionDecember 2025
Introduction to FOCUSFinOps Foundation · TrainingMarch 2025
Front-End Web DevelopmentSkills4All · Course completionFebruary 2025A selection of professional work, independent products and technical resources.
8 projects
Business-critical fibre connection workflows. Java microservices, Kafka event streams, React front end and CI/CD on GCP at SFR.
Java · Spring Boot · React · Kafka · GCP · GitHub ActionsProfessional experienceA multi-asset portfolio platform with AI-assisted imports, risk analysis and performance analytics. Designed and developed end to end.
Next.js · TypeScript · AI / LLM · Finance analyticsVisit platformFinancial education, budgeting tools and mortgage simulations. A product combining structured content, data and interactive planning tools.
Next.js · Prisma · Data visualisationVisit platformAnalysis of global vaccination data using the Databricks ecosystem: data cleaning, transformation and visualisation.
PySpark · Delta Lake · SQL · DatabricksView repositoryAn educational roadmap covering scalability, distributed systems, caching and architecture fundamentals.
Architecture · Distributed systems · Learning resourcesExplore resourceAn interactive resource for learning data structures, algorithms and computational complexity.
Next.js · MDX · AlgorithmsExplore resourceA premium furniture e-commerce platform, from catalogue and cart workflows to responsive interfaces and containerised delivery.
Next.js · REST APIs · Docker · GitLabView repositoryAn interactive prototype connecting biomechanical scan data with real-time 3D visualisation, developed at Station F.
3D rendering · Data integration · Product prototypingProfessional experienceNotes on cloud, cost, governance and machine learning, written while building the things they describe.