Take ownership by:
Collaborating with a cross-functional team (Product, Design, Engineering) to build and improve backend features.
Supporting the development and maintenance of scalable backend services using Node.js.
Assisting in improving the performance, reliability, and stability of our platform.
Writing clean, maintainable, and well-tested code.
Monitoring, debugging, and resolving issues with guidance from senior team members.
Learning our systems, tools, and best practices while actively contributing to team discussions.
This challenge will suit you if:
You have 1–2 years of experience building web applications using Node.js (JavaScript/TypeScript).
You have a basic understanding of backend concepts such as APIs, databases, and system design.
You are eager to learn and can break down problems with support from more experienced engineers.
You are comfortable working in a remote, async environment and take responsibility for your work.
You are a clear communicator in English and open to feedback and continuous improvement.
Bonus:
Familiarity with cloud platforms (e.g., AWS).
Exposure to databases (SQL or NoSQL).
Basic understanding of REST APIs and/or microservices.
Interest in data processing or scraping pipelines (relevant to your current project shift).
Some exposure to frontend technologies (React) is a plus but not required.
Salary: €38,000–€58,000 per year (gross), depending on your experience level and location.
25 vacation days + your local national holidays
A top-tier MacBook and remote-ready gear
Monthly wellness budget to invest in your health
Co-Working allowance
Events, training, or courses that directly and primarily contribute to your work at Publitas
Free books on Kindle and Audible
Free Publitas Swag (merchandise)
At Publitas, we see AI as a core lever for performance, efficiency, and innovation. We expect all team members to actively use AI in their daily work to improve quality, speed, and output.
Depending on the role, this ranges from effectively using AI tools in day-to-day workflows to designing and scaling AI-driven systems. We are not looking for candidates who are “AI-curious”; we look for people who already use AI to do better work and can demonstrate tangible impact.
