adorsys

• Creatively solving technical and conceptual challenges and overseeing implementations • Responsible for the solution design of complex software systems and application landscapes • Planning and creating solution architectures and cross-cutting concepts • Ensuring non-functional requirements (state-of-the-art quality and security standards) • Cross-team coaching and leadership in architecture, design, implementation and methodology • Interdisciplinary collaboration with various stakeholders across multiple teams • Producing architecture documentation (arc42, C4) • Modern technology stack in Java, JavaScript, cloud and DevOps environments, and other technologies depending on the project context

• Development, operation and continuous enhancement of enterprise-wide knowledge graphs • Design and implementation of ontologies in the domains of tax, law and finance • Development of knowledge-graph-driven applications and services • Integration and transformation of existing data silos into semantic data models • Development and establishment of quality assurance and validation methods as well as modeling guidelines, best practices and documentation for ontologies and knowledge graphs • Monitoring and optimization of query performance and system stability • Further development of company-wide information management through knowledge-graph technologies • Connecting knowledge graphs to AI- and LLM-based systems to support intelligent applications • Close collaboration within a team of Data Scientists, Data Architects and MLOps engineers

• Design and code — setting standards and ensuring quality • Lead self-organized teams in diverse and exciting client projects • Varied, challenging projects in the banking and insurance sectors • Develop a range of software solutions across the projects' technology stacks • Continuous professional development combined with new technologies • A supportive environment to leverage and grow your strengths • Solve technical and conceptual challenges