• Design and evolve scalable, reliable, and maintainable systems across frontend, backend, and data layers. • Lead architectural decisions, define engineering standards, and drive Architecture Decision Records (ADRs). • Own and deliver complex technical initiatives end-to-end, translating business goals into actionable technical roadmaps. • Mentor engineers and elevate technical excellence through mentoring, knowledge sharing, and best-practice development. • Champion AI-assisted engineering workflows and help teams leverage AI-first development practices. • Drive improvements in testing, CI/CD, observability, system reliability, and operational excellence. • Collaborate closely with Product, Design, Data, and Engineering leadership to influence strategy and deliver customer value. • Manage operational and technical dependencies with external vendors and partners, including platforms such as Google Workspace, domain providers, email services, and RankingCoach.

• Build and maintain backend services in Node.js, including serverless components (for example, functions-as-a-service and API gateways) • Design and integrate APIs that power web frontends, partner integrations, and AI-augmented features • Contribute to frontend work using modern state management and interaction patterns, with an emphasis on accessibility and keyboard-friendly UI • Write clean, well-structured, and well-tested code with a strong focus on automated unit and integration tests • Support the design and maintenance of workflows using orchestration tools such as workflow engines or state machines • Contribute to event-driven and asynchronous processing using queues, pub/sub, or similar messaging patterns • Improve reliability by strengthening error handling, retries, and failure recovery paths • Develop and evolve RESTful APIs within a modular or microservices-style architecture • Integrate with large internal and external systems, including data platforms and institutional services • Help optimize performance and scalability of services, including thoughtful schema and access-pattern design for SQL or NoSQL stores • Implement secure data handling practices aligned with privacy and compliance expectations • Investigate and resolve issues in production environments, collaborating with more senior team members where needed • Contribute to logging, monitoring, and debugging workflows so the team can see and trust what the system is doing in real time • Support deployment and release processes in a cloud-native environment, including reviewing and improving pipelines over time • Work closely with distributed, cross-functional teams building large-scale platforms in domains such as education, financial services, or enterprise SaaS • Participate in code reviews, design sessions, and technical planning • Take ownership of features spanning UI, API, and data layers, driving them from definition through to production rollout • Continually grow your skills, staying current with modern Node.js, cloud, and frontend practices

• Du entwickelst ein Multi-Sensor-Wahrnehmungs- und Fusionssystem für das Drohnen-Frühwarnsystem. • Du baust das Backend, das Machine-Learning- und KI-Modelle direkt auf den lokalen Sensoren statt auf Cloud-Servern laufen lässt. • Du arbeitest an real-time Networking von highly scalable Distributed Systems. • Du implementierst skalierbare Intelligenz mit Low-Latency Intelligence. • Du baust Architekturen from scratch, um Simulationen, Machine Learning und Engineering Workflows zu unterstützen. • Du überwachst die Systeme, behebst Störungen und verbesserst kontinuierlich die Observability.

• Develop APIs using Node.js, Postgres and/or MongoDB. • Monitor the health of our applications. • Contribute to architectural improvements. • Assist in resolving and improving technical debt. • Propose new ideas and reusable architectural solutions. • Identify improvements in the design of our code and systems. • Participate in the strategic direction of the engineering team. • Mentor and help team members grow and progress in their careers. • Identify bottlenecks and performance improvements in our databases or APIs. • Serve as a reference for best practices during the development of our systems and applications. • Ensure our components maintain good code design. • Ensure our services have a healthy level of coupling. • Ensure that new developments do not degrade the quality and health of our services.