Backend Engineer, AI Noa Notes (100% remote-friendly within Spain)

Team Vision and Mission

The Noa Notes Team is building AI tools that turn doctor-patient conversations into structured clinical notes. Our mission is to make clinical note-taking so seamless and reliable that it becomes invisible: doctors speak naturally, and Noa handles the rest.

With 12,000+ paying users and over 1.5 million consultation minutes processed, we've proven the value. Now we're scaling: improving summary quality, expanding across devices and platforms, and building a product-led engine.

Why Our Team?

We have real traction and proof that what we're building matters. With a team of just nine, we're small enough that your work will directly shape the product's trajectory.

You'll tackle hard problems at the intersection of AI, distributed systems, and healthcare workflows with real-time audio processing, multi-cloud integrations, and making machine-generated summaries trustworthy enough for clinical use. 

You'll own features from ideas through impact measurement. We ship small increments to production early and often, optimizing for learning over big-bang releases. You'll propose trade-offs, make day-to-day calls, and see the results in real user data within weeks.

Fair warning: you'll wear multiple hats and context-switch often.
That's a feature for some, a bug for others.

About the Role

We're looking for a Backend Engineer with 4+ years of experience to join the Noa Notes team. We care less about your current tech stack and more about your fundamentals: distributed systems, scalability, clean architecture, and the ability to ship iteratively while learning fast.

Key Responsibilities

• Own features end-to-end: from shaping and refinement through build, release, and impact review.
• Design and develop backend systems with a focus on scalability, reliability, and observability.
• Work on real-time audio processing pipelines and AI/ML integrations that turn conversation into structured clinical documentation.
• Build and optimize integrations with Docplanner products, third-party healthcare systems, and cloud services across AWS and Azure.
• Solve distributed systems challenges: async workflows, message queues, multi-cloud orchestration, and graceful failure handling.
• Expand Noa's reach across devices, platforms, and workflows wherever doctors actually work.
• Collaborate closely with Product, Design, and Data to ship small increments and validate learning quickly.
• Contribute to a strong engineering culture through code reviews, testing, and lightweight documentation.
• Surface trade-offs, propose solutions, and drive day-to-day technical decisions.