Plateforme IoT et IA pour mesurer et réduire les déchets en entreprise.
You will play a key role in evolving our waste intelligence platform—designing new features, improving system performance, and helping us scale globally.
What you’ll do:
Data Modeling – Design and optimize data models for high-performance analytics at scale
Back-End Development – Build robust APIs and microservices leveraging AWS cloud services
Front-End Development – Develop intuitive, high-quality interfaces using React, JavaScript, and modern UI frameworks
Security & Reliability – Apply best practices to ensure data security, system resilience, and compliance
Testing & Delivery – Contribute to a strong CI/CD culture with high standards for testability and maintainability
We are looking for engineers who are not only strong technically, but also curious, adaptable, and continuously learning.
Education – Top engineering school or equivalent (Computer Science or related field)
Experience – Solid experience in full-stack development on modern web platforms
Tech Stack – Familiarity with React, TypeScript, Node.js, and AWS (Cognito, Amplify, DynamoDB, IoT Core)
Mindset & approach:
Continuous Learner – You actively explore new tools, frameworks, and approaches to improve how you build software
AI-Augmented Developer – You are comfortable leveraging AI tools (e.g. Claude Code, copilots, LLMs) to increase productivity, code quality, and learning speed
Problem Solver – Strong analytical thinking and ability to tackle complex, real-world problems
Ownership – You take initiative and drive topics end-to-end
Team Player – Comfortable collaborating in an international, remote-first environment
Agile Mindset – Familiar with Agile/Scrum, CI/CD, and modern development workflows
Interest in AI – You are excited about applying AI to real-world products (not just experimenting)
Mission-Driven – Motivated by building technology that has a tangible environmental impact
The selection process includes an initial screening, followed by a general interview with our CTO (conducted in French). Shortlisted candidates will then proceed to a technical interview with members of the R&D team.
En bref
Année de création
2020
Nombre d'employés
12
Âge moyen
35
Turnover
0
Chiffre d'affaires
800000