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Senior Software Engineer, Python

Organismo
Nelly Solutions
País
🇩🇪 Alemania
Lugar
Berlin
Puestos
1
Tipo de vínculo
privado

Descripción del puesto

We’re on the lookout for an ambitious Senior Software Engineer with focus on Python to join our Engineering team at our office in Berlin. Join us in building the largest AI enabled fintech for healthcare! About Nelly We are building the AI-Driven Financial Operating System for European healthcare, solving the biggest challenges for patients and practices. We create what no bank or software platform can handle. Our all-in-one platform transforms chaotic administrative processes into intelligent, automated workflows, from patient care to billing to next-generation payments. Because we truly believe: healthcare should be less about paperwork and more about people. Why? Because Europe is facing a massive shortage of medical professionals. And if we don't rethink the way practices work, the system won't be able to keep up. With our Series B funding of over €50 million from world-class investors, we are turning our vision into reality. What sets us apart: We work with the best team, which is why we give everything together every day. We believe in Talent Density, because exceptional people make everyone around them better. At Nelly, we move fast and expect everyone to keep up. Stagnation isn’t an option, which is why we invest heavily in growth. AI isn't a nice-to-have at Nelly. We expect you to use it every day and give you everything you need to do so. You get trust and ownership and we expect you to speak up, even when it's uncomfortable. Joining us, you will: Build and maintain our Python backend using FastAPI, Pydantic, SQLModel/SQLAlchemy, and PostgreSQL (including pgvector), designing the APIs and data models that power the platform Contribute across the stack when needed, working with our TypeScript, React, Next.js, and Node.js applications Build AI-powered workflows using modern language models, orchestration frameworks, and evaluation tooling Take ownership from development to production by building, deploying, and operating services on AWS with infrastructure m

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