Working Student Frontend Engineer (m/f/d)

Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market. Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns. Team

We are a cross-functional engineering team composed of frontend and backend engineers, responsible for the full end-to-end development lifecycle supporting our US business. From discovery and design to delivery, operations, and continuous improvement, we own our solutions throughout their entire lifecycle. We build and operate a mission-critical, 24/7 fintech platform that serves customers in a highly regulated and reliability-sensitive environment. Our systems demand high availability, scalability, resilience, and a strong focus on customer experience. Your Responsibilities

• You write clean code and always follow the agreed best practices in the team. - You do good code reviews, helping the team to keep best practices, business rules and with respectful and constructive communication. - You write automation tests ensuring the quality of your software deliveries. - You support a "green" development and staging environment, helping to identify and fix issues with the test pipelines. - You are taking active participation in the team ceremonies. - You are capable of following the incident management process during regular working hours and also during your on-call shifts. - You actively participate in TechDemo and other knowledge-sharing initiatives. - You are using AI tools (e.g., code completion, test generation, documentation assistance) to increase your development velocity and reduce boilerplate work. - You are evaluating AI-generated output critically, verifying its correctness, safety, and maintainability before integrating it into production code.