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Nelly

Lead Software Engineer - Integrations

BerlinHybrid · Germany
Staff · FullTime · Engineering
POSTED 17 JUNVERIFIED 1D AGO
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Role
144 days opentrue age
Posted 17 Jun
Pay
€86k–€110kno pay posted
Market p25–p75
€86k–€110k
Berlin · n=4 · 365d to 6 Nov
CompanyNelly →
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AWS

We're looking for a Lead Software Engineer to help shape the future of our Integrations team in Berlin - the platform that connects Nelly to the practice management systems (PMS) our customers already run, and that lets every other product team at Nelly ship reliable, automated workflows into dental practices without ever touching PMS complexity themselves.

About the team

Integrations is the connective tissue between Nelly and the outside world. Our stack spans the full spectrum of how a practice can be reached - from talking directly to on-premise systems and their databases, through modern API integrations, up to cloud infrastructure, and increasingly AI-powered capabilities that make integrations smarter and more resilient.

That means supporting legacy industry protocols, integrating directly at the database level, and, when there's truly no other way in, driving a PMS's UI the way a human would - all wrapped behind a resilient, observable transaction engine that other product teams (Billing Agent, AI Scribe, Treatment Plan Agent, and more) build on top of without thinking about PMS quirks at all.

It's some of the most technically interesting, and most business-critical engineering at Nelly: every transaction that lands (or doesn't) in a practice's system has a direct line to revenue, and our reliability numbers are watched company-wide. We're a small, senior team that owns this end-to-end, from the client software running on a practice's own server to the architecture decisions that shape how the rest of engineering builds on top of us.

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 is an essential part of how we work 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

Be the technical authority the team turns to on the hardest calls - the person other teams seek out for input, not just within Integrations

Own and evolve the architecture of the Integrations platform - from the on-practice client through the transaction engine - and set the technical direction other engineers build on.

Build connections between practice management systems and Nelly's backend, working hands-on with modern technologies. We host everything on AWS and manage our infrastructure as code

Take ideas from concept to production fast, with your work reaching customers within your first few days

Help define our mid- to long-term technical strategy - the roadmap, patterns and investments that let Integrations keep enabling the product vision as the team and company scale.

Raise the bar on engineering practices across the team, including how we use AI tooling to make engineering faster and better - you don't just use new tools, you help the team adopt them.

Explore and ship AI-powered capabilities inside the integration platform itself - not just using AI as an engineering tool, but building it into the product (smarter matching, anomaly detection, automated triage, and more).

Source · NellyFirst seen 2 NovOriginal ↗