Principal Software Engineer

The software behind Dognosis has to be right, because a missed signal can mean a missed cancer. You will lead our software team and own the system and architecture decisions that keep our platform reliable as it scales. The Stack We run Rust for performance-critical services, Python for data and ML pipelines, and Vue3 with TypeScript on the front end, over PostgreSQL and TimescaleDB, on AWS and GCP. Real-time multi-modal data flows through Lab Streaming Layer and ZMQ from a fleet of edge devices. What You Will Do Lead the software team, setting technical direction and raising the engineering bar. Own system and architecture design across services, data, and edge. Keep our platform reliable and scalable as sample volume and deployments grow. Set the standards for testing, review, and delivery that the team builds on. Turn hard, ambiguous problems into clear designs the team can execute. What Success Looks Like (6 Months) The team ships reliably against a clear architecture you have set. Core systems handle rising load and data volume without reliability regressions. Testing and review practices are consistent across the team. You Are a Good Fit If You have built and scaled reliable software systems in production. You have 5 to 7 years or more of engineering, with some

experience

leading engineers. You think in systems and architecture, not just features. You raise the reliability and quality bar wherever you work. You want to own the whole software surface rather than one service. Valuable but Not Required You have worked in health or another field where the margin of error is low. You have

experience

with Rust, real-time data systems, or edge fleets. You have set engineering direction for a growing team. What You Will Get Ownership of the software behind a test published in the Journal of Clinical Oncology and covered in Scientific American and New Scientist. Architecture decisions that directly shape whether cancer gets caught early, at scale. A small, interdisciplinary team spanning engineers, scientists, clinicians, and working detection dogs. The office is never boring.

You have worked in health or another field where the margin of error is low. You have

experience

with Rust, real-time data systems, or edge fleets. You have set engineering direction for a growing team. What You Will Get Ownership of the software behind a test published in the Journal of Clinical Oncology and covered in Scientific American and New Scientist. Architecture decisions that directly shape whether cancer gets caught early, at scale. A small, interdisciplinary team spanning engineers, scientists, clinicians, and working detection dogs. The office is never boring.