Backend Engineer
Core
Design and own the technical architecture of a clinical context layer that personalizes AI and automation for individual clinicians based on their specific practices and workflows.
Role type
Senior Backend Engineer (Healthcare AI Infrastructure)
Builds
The Clinical Context Layer (rules, guardrails, configurations) and infrastructure for clinical QA, onboarding, and data curation.
Domain
Healthcare technology, AI personalization, Clinical Informatics
Deliverable
production ML models | infrastructure
Required skills
Backend system architecture, distributed systems design, data pipeline engineering, healthcare data integration (HL7, FHIR, APIs), AWS infrastructure, observability, stakeholder collaboration with non-technical experts
Preferred skills
Startup experience, full-stack architecture knowledge, healthcare domain exposure
Technologies
AWS, HL7, FHIR, distributed systems, queues, workers
Responsibilities
Own the technical architecture of the clinical context layer and manage client/cohort customizations; Build systems to automate clinical QA, onboarding, and data curation; Own end-to-end healthcare data integrations and scale AWS infrastructure for them.
Seniority
Senior, hands-on IC