Backend Architecture & Platform Services
• Design and implement secure, scalable public and internal
APIs (FastAPI + async patterns)
• Build
identity-aware, role-based services supporting clinicians, administrators, and
integrations
• Ensure high reliability and low-latency request handling
with proper caching, pagination, and rate limits
• Apply distributed systems patterns: retries, idempotency
keys, circuit breakers, backpressure • Contribute to domain modeling (DDD
principles) for provider identity, specialties, compliance state
• Define SLOs,
operational runbooks, and automate recovery where possible
Data Ingestion, Structuring & Quality Governance
• Engineer API-first ingestion, migration and
synchronization pipelines (scraping only when legally permitted)
• Normalize structured & semi-structured healthcare data
(qualifications, medical specialties, licensing authorities)
• Maintain deduplication, delta-detection and
source-of-truth governance
• Define and track
KPIs for freshness, accuracy, coverage, cost-per-item
Search, Semantic Intelligence & Matching
• Build and optimize Azure OpenAI + pgvector similarity and
reputation ranking models
• Extend taxonomy-
and embeddings-aware search for better clinician-patient matching
• Develop metadata inference to improve discoverability and
quality
Secure Healthcare Integrations
• Partner with health insurers, job authorities, and
telemedicine systems using standards-driven, consent-aware integration patterns
• Apply GDPR principles, auditability, encryption &
secret management by default
Event & Batch Processing + Observability
• Event-driven
automation: Azure Functions / Container Apps / AKS jobs
• Full Observability using OpenTelemetry (traces, metrics,
logs)
• DLQ handling,
replay, and resiliency testing
• Collaborate with
Product, Platform, Data Science & Compliance stakeholders
• Enable exports, access control, onboarding flows and
clinical validation processes
