Fullstack Developer – Data Visualization & AI (m/f/d)

Permanent employee, Full or part-time · Homeoffice

Who we are

Greenbone is a globally operating company developing open-source solutions for vulnerability analysis and management. Our products protect the digital infrastructures of organizations of all sizes by identifying security issues before they turn into real threats. We operate in a rapidly growing market and are driven by innovation, flat hierarchies, and a culture of openness. Trust, teamwork, and personal growth are central to how we work - as is a healthy work-life balance.

We are looking for a Fullstack Developer with a strong focus on React, modern UI/UX, and data visualization. You will design interactive dashboards, enhance our AI-driven UI, and integrate LLM APIs into data-intensive applications.

Please note: This is a 100% remote role, but you must be based in Germany with valid work authorization.

Your mission

Develop and optimize frontend components using our preferred stack — Bun, Vite.js, React, and Tailwind CSS — to implement dynamic dashboards.
Build custom dashboards with saving and configuration options.
Improve and take ownership of the existing AI-driven UI (similar to ChatGPT) to ensure continuous enhancements and an exceptional user experience.
Design and implement appealing data visualizations (Data Visualization, BI).
Develop backend functionalities such as login pages and authentication mechanisms.
Collaborate closely within the Data Solutions Team on developing data-intensive applications.
Integrate AI API calling features as a core part of the application.

Technology we use

Frontend: JavaScript/TypeScript with modern frameworks (React, Angular, or Vue)
Backend: Bun, Deno, Node.js, or other comparable technologies (Python is optional)
Database: PostgreSQL, SQLite, DuckDB
Data & BI: Charting libraries, data visualization frameworks
Tools & Processes: GitHub, agile development practices (code reviews, pair programming, TDD)
Knowledge of working with LLM APIs, such as our own in-house AI API, or external solutions like OpenAI, LlamaCPP, or vLLM

What you offer

5 years of full-time professional experience as a fullstack developer.
Solid knowledge of UI frameworks and UX design.
Experience in developing backend applications and login mechanisms.
Strong affinity for data visualization and business intelligence.
Excellent English skills, both written and spoken (German optional).
Independent, structured way of working combined with team spirit.

Nice to have

Experience with machine learning algorithms such as clustering and classification. Knowledge of LLMs is a plus.
Interest in data-driven products and BI dashboards.

Why us

Opportunity to help shape a growing cybersecurity company
Flexible working hours and 100% remote option
A motivated and diverse team with an open company culture
Flat hierarchies, direct communication, and genuine appreciation
30 days of vacation and an attractive pension scheme
Job bike, fitness programs, and corporate health management
Comprehensive, ergonomic work equipment - also for the home office
Family-friendly environment and a healthy work-life balance

Apply for this job

About us

We are looking for people who want to develop their full potential with us. We seek team players who are willing to take on responsibility and share their enthusiasm. Above all, we want you to enjoy your work and want to make a difference! We value diversity and welcome applications from people of all genders, nationalities, ethnic and social backgrounds, religions, disabilities, age, sexual orientation and identity.

Your Application Process at Greenbone

1. Initial meeting with the Talent Acquisition Team (Duration: 30–45 minutes)
2. Interview with the Hiring Manager and Peer (Duration: approx. 60 minutes)
3. Final interview with Department Lead or C-Level (Duration: approx. 60 minutes)

The process may vary slightly depending on the position. For some technical roles, a case study is included between the second and third interview.

We look forward to getting to know you!

If you want to take a look behind the scenes, have a look at our LinkedIn channel or read what colleagues have to say on Kununu.