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.

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

• 2–3 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

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