Staff Backend Solution Architect

We’re Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. In just 18 months, our clinical AI products have absorbed the administrative chaos of 73 million patient visits. Today, we support over 2.5 million patient sessions a week across 190+ countries. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s healthcare capacity and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. If you don’t choose easy and you want to build something way bigger than yourself then, choose the challenge, choose Heidi. The role Clinical teams trust software when it never lets them down. This role is about earning that trust at the infrastructure level: building the backend that lets Heidi's AI agents act reliably, at speed, and at scale. You'll spend less time following a spec and more time deciding what the spec should be, working closely with product, AI, and frontend engineers to get ideas into clinicians' hands fast. What you’ll do - Architect and build backend services that power LLM-based agents and clinical automations. - Design robust APIs & data models that are secure, observable and easy for other teams to extend. - Optimise performance and cost: profile hot paths, tune databases and right-size cloud resources. - Automate quality: write unit / integration tests, craft alerts and own on-call runbooks so clinicians can trust every interaction. - Partner with product, AI and frontend engineers to ship new capabilities from concept to production in weeks, not quarters. What you’ll need - Mastery of software-engineering fundamentals; Python is our primary language, but you move fluently between technologies when the problem demands. - Proven experience designing APIs (REST or GraphQL), and event-driven systems (Kafka, Pub/Sub or similar). - Deep coding and architect mindset — Hands on experience in test driven development (TDD), AI coding, microservices, eventual consistency etc. - Deep database expertise—schema design, query optimisation and scaling for both relational and NoSQL stores. MongoDB experience is a big bonus. - Cloud fluency (AWS, Azure, or GCP): containers, k8s, CI/CD, infrastructure-as-code, security and observability. - Track record of shipping and operating distributed systems at scale with high reliability - Rigorous testing, code-review and documentation habits that elevate team standards. - Hands-on work with AI/LLM services or real-time audio/streaming pipelines. - Strong communication skills and the ability to influence technical direction without relying on formal authority. How we show up - Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism. - Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that. - Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford. - Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander. - Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless. - Live in clinicians' reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while