We’re Heidi

We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties.

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 capacity for care 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.

We’ve grown annual recurring revenue from $1 million to $50 million in two years.

To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund.

If you want to join us in doing work worth shipping, jump in.

What You’ll Do

- Own backend architecture. Define service boundaries, data ownership and interface contracts across our Python codebase, and make the calls about what becomes a service, what stays a module and what gets merged back.

- Run the design process, not just the designs. Write and review design docs, set the bar for what a proposal needs before it gets built, and give engineers architectural feedback early enough to matter.





- Build the paved road for backend development: service templates, shared libraries, migration tooling, test harnesses, CI pipelines and a local dev setup that works on the first try. Make the right way to build a service the fastest way.

- Set and maintain backend code standards around structure, typing, testing, error handling and observability, then encode them in tooling so they hold without anyone policing them.

- Take on the refactors nobody else can. Untangle the modules that every team is afraid to touch, and land them incrementally without freezing product work.

- Keep a live view of code and system health: test coverage where it counts, build and deploy times, flaky tests, dependency drift, latency budgets, the slow database queries that will hurt in six months.

- Balance delivering new product surface against paying down the debt worth paying, and be straight with the team about which one a given quarter needs.

- Drive collaboration across teams, working with product managers, clinicians, frontend engineers and infrastructure so that architecture decisions hold up against how the product actually gets used.

- Provide technical leadership and mentorship to backend engineers, championing best practices and lifting the standard of what the team considers normal.





- Deepdive into weird edge cases and solve hard and tiny problems for our users.

What We’re Looking For

- 8+ years of qualified backend engineering experience, with deep expertise in Python and its modern async ecosystem.

- Advanced proficiency with FastAPI and Django: async request handling, ORM and SQLAlchemy patterns, background workers and task queues, versioned API design, and zero-downtime migrations.

- Proven record architecting backend systems at scale, defining module boundaries, establishing patterns, and creating reusable primitives that speed up product development.

- Experience building paved roads for other engineers. Service scaffolds, shared libraries, internal platform tooling, CI/CD pipelines, and the governance that keeps them from rotting once the person who built them moves on.

- Demonstrated ability to improve code health on a live codebase: large incremental refactors, deprecation and migration strategy, dependency hygiene, static analysis and type coverage as tools rather than rituals.

- Strong distributed systems grounding, including idempotency, retries and backpressure, caching strategy, event-driven patterns, and graceful degradation under load.

- Deep PostgreSQL and NoSQL knowledge. Schema design, indexing, query tuning, connection management, and safely changing large live tables. zT T

- Strong experience in a monorepo environment, including shared packages, build pipelines, versioning and cross-team collaboration.

- Strong grounding in modern testing practices, including Test-Driven Development (TDD), Behavior-Driven Development (BDD), pytest, contract testing,

📌 Senior Backend Architect (Melbourne)
🏢 Alt
📍 Melbourne