Role & responsibilities
Design and build data ingestion pipelines for lab results, wearable data, clinical documents, and device streams.
Develop well-versioned, well-documented REST APIs consumed by mobile, web, and AI services.
Implement FHIR-based integrations and mappings (Observation, DiagnosticReport, Patient, MedicationRequest) with external labs and health systems.
Design relational and time-series data models for clinical and continuous sensor data.
Build entity resolution, deduplication, and data provenance into the data platform.
Implement encryption, fine-grained access control, and audit logging across all services.
Optimize database performance: indexing, query tuning, partitioning, and migrations under load.
Collaborate with clinical, product, and AI teams in Agile delivery cycles.
Design and build data ingestion pipelines for lab results, wearable data, clinical documents, and device streams.
Develop well-versioned, well-documented REST APIs consumed by mobile, web, and AI services.
Implement FHIR-based integrations and mappings (Observation,



DiagnosticReport, Patient, MedicationRequest) with external labs and health systems.
Design relational and time-series data models for clinical and continuous sensor data.
Build entity resolution, deduplication, and data provenance into the data platform.
Implement encryption, fine-grained access control, and audit logging across all services.
Optimize database performance: indexing, query tuning, partitioning, and migrations under load.
Collaborate with clinical, product, and AI teams in Agile delivery cycles.

Preferred candidate profile
Prior experience at a health-tech, diagnostics, telehealth, or medical device company.
Event streaming (Kafka or similar) and data pipeline orchestration.
Familiarity with health data regulation and data residency requirements.
Startup experience with a quick-learning, go-getter mindset and an interest in health and longevity.

📌 Backend Developer Python Bengaluru (India)
🏢 Hrivoncore
📍 India