Full Stack Developer: Geospatial & ML Systems

cyclomedia; Österreich; Vor Ort; Vertraulich; Vollzeit

Benefits dieser Stelle

Starting Salary: €70,000 per year

Diverse Projects

Innovation-Driven Environment

Zusammenfassung

A technology company in Austria seeks a Full Stack Developer to integrate .NET and Python, enabling seamless data flow across high-resolution datasets. The role involves creating user-focused tools and collaborating with machine learning teams. Candidates should have strong skills in C#, .NET, and Modern React, as well as experience with cloud development. The starting salary is €70,000 with growth potential based on performance in an innovative environment.

Qualifikationen

• Proficiency in C# / .NET for enterprise logic.
• Strong experience with Modern React and TypeScript.
• Familiarity with Docker and Kubernetes.

Aufgaben

• Design and maintain scalable microservices.
• Build highly responsive frontends capable of rendering complex data.
• Collaborate with the Machine Learning team.

Kenntnisse

C# / .NET

Python

React

TypeScript

Docker

Kubernetes

WebGL

Three.js

Jobbeschreibung

Salary: €70,000+ (Scaling with qualification/seniority)

Core Tech: .NET, Python, React (Modern Frontend)

Focus: Bridging the gap between High-Resolution Data and Machine Learning

The Role

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.

Tasks

Key Responsibilities

• 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.

Requirements

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.

Benefits

What We Offer

• 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.