• Features & Integrationen unserer Webapps planen, implementieren, testen und deployen. • n8n-Workflows planen, umsetzen, überwachen, auftretende Probleme lösen. • Umsetzung von Deployment Workflows mit GitHub Actions, laufende Verbesserung unseres Setups. • Klassische Qualitätssicherung der Updates, Code-Reviews, automatisierte Tests, Monitoring/Alerting.

• Integrating with heterogeneous government databases and legacy systems • Reverse-engineering APIs and data structures with limited documentation • Designing scalable pipelines to ingest and normalize messy property datasets • Automating complex onboarding workflows across multiple customer environments • Building infrastructure that ensures reliability and performance across deployments • Translating real-world operational constraints into robust system architecture • Contribute to and enhance our core Java codebase, emphasizing maintainability and clean design • Utilize scripting (e.g., Python, Bash) and automation tools (e.g., GitHub Actions) to streamline processes and extend system functionality • Design and implement robust integrations with third-party databases, APIs, and data storage systems • Partner with remote customer teams to understand their architecture and design implementation plans that prioritize scale and reliability • Serve as a trusted technical advisor, translating complex customer needs into tailored, scalable solutions • Work with cloud-based systems (AWS) to deploy, monitor, and scale applications, ensuring high performance, reliability, and security across customer environments.

• Serve as the technical authority within the team, driving architectural decisions, setting coding standards, and ensuring engineering excellence while remaining a hands-on individual contributor. • Collaborate with the Product Manager and Product Designer to refine, estimate, and detail epics and features, translating business requirements into well-defined technical solutions. • Support the Engineering Manager in mentoring and coaching team members, conducting code reviews, and fostering a culture of knowledge sharing and continuous improvement. • Actively use and champion agentic AI tools across the software development lifecycle, establishing best practices and driving adoption within the team. • Coordinate with other Technical Leads, architecture, and cloud teams to ensure alignment on technical direction, shared standards, and cross-team dependencies. • Actively participate in customer support escalations, providing technical expertise to diagnose issues and drive their resolution. • Design and implement scalable, maintainable solutions for complex technical challenges, contributing significantly to the team’s codebase.

• Design, develop, test, and deliver high-quality software features end-to-end, taking ownership of complex functionality across the full stack. • Actively leverage agentic AI tools in daily development workflow to accelerate delivery, improve code quality, and explore innovative solutions. • Participate in architectural and technical design discussions, contributing ideas and helping evaluate trade-offs alongside the Technical Lead. • Collaborate with Product Manager and Product Designer to understand requirements, clarify acceptance criteria, and provide technical input on feasibility and estimates. • Conduct thorough code reviews, share knowledge with team members, and mentor junior engineers to raise the overall engineering quality of the team. • Participate in customer support topics and escalations, helping diagnose and resolve technical issues in a timely manner. • Continuously improve engineering practices by identifying bottlenecks, proposing process improvements, and staying current with relevant technologies.