Innovation is and will always be the core of SAP Fioneer, and it is the promise of why we were spun out of SAP: agility, innovation, and delivery. SAP Fioneer builds on a heritage of outstanding technology and a deep understanding of corporate and consumer demands. At the heart of it all it is simple: We bring financial services to the next level with innovative software solutions and platforms. We are helping companies in the financial services industry to achieve speed, scalability, and cost-efficiency through digital business innovation, cloud technology, and solutions that cover banking and insurance processes end-to-end. A global company, with rapid growth, innovative people, and a lean organization makes SAP Fioneer a place where you accelerate your future! About the team We have various distributed teams working on our client's projects, internal tools, or in-house products. Our usual team size is up to 10 people, but we also have projects with multiple teams, some with well over 40 engineers. Our teams consist of industry experts, product owners, designers, and software engineers focused on frontend, backend, or both. This is a great opportunity to get next-level experience in a mature cloud-native team on a challenging, business-relevant projects, including work at the forefront of GenAI and agentic systems. As a team, we cherish flexibility and open communication. Focusing on work-life balance and enjoying the journey is a must. Taking responsibility and working at your own pace is something that we greatly appreciate. We'll be happy to show you everything we know, and we're looking for someone who can teach us just as much in return. About you We are looking for a **Full Stack Engineer** to join one of our scrum teams, working with technologies like Spring Boot, Kotlin, PostgreSQL, React, Redux, and reusable web components. You will own features end to end and actively shape the platform.

• Own features end-to-end across the stack. • Set the frontend quality bar for AI-native product surfaces. • Build and maintain integration layer between the user-facing product and Civic Agent Platform. • Contribute to evaluation and quality layer for user-facing AI features. • Raise the engineering bar by creating shared infrastructure and better tooling. • Lead technical conversations across the stack.

• Build and maintain performant, low-latency APIs and distributed microservices handling identity, authorization, user profiles, settings, and product configurations. • Implement and maintain data pipelines that move large volumes of data with consistency and reliability, including audit-log systems and BI data exports. • Maintain and improve existing features based on user feedback and evolving product requirements. • Follow and promote engineering best practices, including structured logging, cross-service request tracking, and robust error management. • Contribute to production observability through alerting, dashboards, and runbooks. • Build tooling to reduce manual operations for engineering teams and support customer support self-service workflows. • Contribute to feature development end-to-end: from participating in requirement discussions with Product, through implementation, to production monitoring.

• Design, build, and maintain highly performant, low-latency APIs and distributed microservices handling identity, authorization, user profiles, settings, and product configurations. • Own features end-to-end: from partnering with Product to shape and challenge requirements, through system design, implementation, and production monitoring. • Design and execute data pipelines that move massive volumes of data with guaranteed consistency and zero data loss, including audit-log systems and BI data exports. • Maintain and improve existing features based on user feedback and evolving product requirements. • Advocate for and introduce engineering best practices, including structured logging, cross-service request tracking, and robust error management. • Ensure high-quality observability through alerting, dashboards, tracing, and runbooks for all production services. • Build reusable internal tooling to reduce manual operations for engineering teams and enable customer support self-service. • Collaborate cross-functionally with Product, Design, and Engineering teams with clear and concise communication.