Responsibilities
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
Cross-Functional Product Enablement
- Collaborate with Product, Platform, Data Science & Compliance stakeholders
- Enable exports, access control, onboarding flows and clinical validation processes
Desired Candidate Profile
5+ years Backend + Data Engineering experience in production systems (regulatory environments advantageous)
- Python (FastAPI, pydantic, async stack, httpx/requests)
- TypeScript for integration services, SDKs, and admin automation
- Azure production experience:
- Functions, Container Apps, AKS workloads
- Azure PostgreSQL / SQL, Blob Storage, Key Vault
- Monitor / Log Analytics
- PostgreSQL excellence incl. pgvector indexing & performance tuning
- ETL/ELT engineering, test automation (pytest), CI/CD, Observability
- Strong understanding of data privacy, GDPR, and secure data flows
Additional Skills
- Go for high-throughput microservices
- NLP / Document processing:
- spaCy, Transformers, pdfminer, textract
- Healthcare interoperability: FHIR / HL7
- Developer Experience:
- GitHub Actions, Azure DevOps, Docker
- monorepo workflows (pnpm/Turborepo)
- Operational ownership: You build it, you run it.
How We Work
- API-First, Clean Architecture, Security-by-Design
- Pairing & mandatory code reviews
- Remote-friendly with flexible hybrid options and defined core hours
- Mission-first culture prioritizing data integrity, patient safety & social impact
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