(Senior) Software Engineer - Data Integration Focus - Remote (m/f/d)

At praxipal, we are building an AI-powered healthcare admin workforce to address the global shortage of medical staff. Medical assistants are too valuable to spend their days chasing callbacks, cleaning up schedules, sending repetitive messages, or wrestling with invoicing and documentation workflows. Staff should spend time on patients. That’s why we build Luna. Our AI receptionist, Luna, answers and automates phone calls and she’s loved by hundreds of medical practitioners. Right now, we’re expanding her from calls to end-to-end patient communication across any channel. Over the next years, we’ll grow her into an AI worker that automates all administrative processes in medical practices, embedded directly into the systems practice teams already use. We’re backed by one of Europe’s leading investors and are one of the fastest growing healthtech startups in Germany. Our team has previously worked and studied at Palantir, Amazon, SAP, the University of Cambridge, and Hasso Plattner Institute. We're hiring a (Senior) Software Engineer to help us scale Luna from hundreds of medical practitioners to hundreds of thousands. The role Integration is the bottleneck and the unlock: Luna can only automate workflows when she can reliably read and write the source of truth inside a practice: schedules, patient context, messages, statuses, and workflow metadata. That data lives in practice management systems (PMS) and related tools. You’ll work hands-on, shipping production integrations. As the integration surface grows, you’ll shape the architecture, standards, and processes that keep integration work scalable. What you'll do Build integrations that unlock Luna’s next capabilities Design and implement read/write integrations into third-party practice management systems Design infrastructure that scales to hundreds of thousands of individual practice servers Engineer reliability into the system: data consistency, idempotency, retries, error handling, observability Triage integration failures in production, communicate impact clearly, and harden the system so the same class of failure doesn’t repeat Make integration a scalable capability Define technical standards and architecture for integrations Establish pragmatic processes for development, maintenance, and incident handling What we're looking for Must-have Strong hands-on programming experience in Python, TypeScript and/or Rust Proven experience building and running software in production Strong understanding of integration patterns, distributed systems, and failure modes Comfort operating in messy environments (inconsistent behavior, missing docs, etc.) Clear communication under pressure (during incidents, vendor issues, competing priorities) Excited to work in a fast-paced environment Nice-to-have Prior work on healthcare software or practice management systems Familiarity with healthcare workflows, terminology, or data standards (e.g. FHIR) Fluent German (spoken and written) Experience in startups or sca