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# Full Stack Developer: Geospatial & ML Systems

- **Company:** cyclomedia
- **Location:** Graz-Umgebung, Austria
- **Salary:** €70,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Geographic Information Systems, Artificial Intelligence, Application Integration Architecture, Automation of Tests, C Sharp (Programming Language), Cloud Computing, Cursor (Graphical User Interface Elements), DevOps, Programming Tools, Django Web Framework, Design of User Interfaces, Python (Programming Language), Machine Learning, Data Streaming, Systems Architecture, TypeScript, WebGL, Three.js, Data Processing, GitHub Copilot, ReactJS, Delivery Pipeline, Large Language Models, Backend, Fastapi, Kubernetes, Machine Learning Operations, Front End Software Development, Lidar, Data Pipelines, Docker, Microservices
- **Published:** July 14, 2026
- **Apply:** https://www.adzuna.at/details/5661062051

## About the Role

Technical Requirements

 * Backend: Proficiency in C# / .NET (Core/8) for enterprise logic and Python (FastAPI/Django) for data processing and ML integration.
 * Frontend: Strong experience with Modern React (Hooks, State Management) and TypeScript. Knowledge of WebGL or Three.js is a significant advantage.
 * Cloud & DevOps: 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.

## Description

As a Full Stack Developer at Cyclomedia, you won't be boxed into a single application. You will be working across our software ecosystem. Your mission is to build the internal platforms and user-facing tools that process, visualize, and label the world's most accurate street-level data.

You will act as the technical glue between our .NET-based enterprise infrastructure and our Python-driven Machine Learning research, ensuring that high-performance data flows seamlessly from our 360-degree cameras to our AI models., * System Architecture: Design and maintain scalable microservices using .NET and Python that handle massive geospatial datasets.

 * Next-Gen UI/UX: Build highly responsive frontends (React/TypeScript) capable of rendering complex 2D and 3D data (imagery, LiDAR, and vector overlays).
 * ML Enablement: Collaborate with the Machine Learning team to build "Human-in-the-Loop" systems, automation pipelines, and model monitoring dashboards.
 * AI Integration: Leverage AI-powered development tools (IDEs, LLM-coding assistants, and automated testing) to maintain high code quality and speed.
 * Data Orchestration: Manage the lifecycle of geospatial data, ensuring it is optimized for both human interaction and algorithmic processing.


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