Responsibilities
- Design and maintain scalable microservices using .NET and Python that handle massive geospatial datasets.
- Build highly responsive frontends (React/TypeScript) capable of rendering complex 2D and 3D data (imagery, LiDAR, and vector overlays).
- Collaborate with the Machine Learning team to build 'Human-in-the-Loop' systems, automation pipelines, and model monitoring dashboards.
- Leverage AI-powered development tools (IDEs, LLM-coding assistants, and automated testing) to maintain high code quality and speed.
- Manage the lifecycle of geospatial data, ensuring it is optimized for both human interaction and algorithmic processing.
Requirements
- Proficiency in C# / .NET (Core/8) for enterprise logic and Python (FastAPI/Django) for data processing and ML integration.
- Strong experience with Modern React (Hooks, State Management) and TypeScript.
- Familiarity with Docker, Kubernetes, and cloud-native development.
- The 'AI-First' Mindset: You are an early adopter of AI IDEs (like Cursor or GitHub Copilot) and know how to use them to multiply your output.
- Problem Solver: A 'Swiss Army Knife' mentality—able to pivot from low-level data optimization to high-level UI design.
Nice to Have
- Knowledge of WebGL or Three.js is a significant advantage.
Benefits
- Starting Salary: €70,000 per year, with a clear trajectory for increases based on your technical contributions and mastery.
- Diverse Projects: From internal automation tools to high-scale data platforms—your work will never be repetitive.
- Innovation-Driven Environment: Direct access to state-of-the-art ML workflows and a seat at the table in deciding our future tech stack.
Work Arrangement
Hybrid
