Full Stack Developer: Geospatial & ML Systems

**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.

**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.