Backend Lead

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Skills you'll use

What you'll do

• Own the backend of the platform end to end — the clinical record, orders, laboratory and radiology, billing and insurance, pharmacy and stock, and the services that hold them together
• Set the service and data design for these modules, and review every change that touches a clinical record, a price, a ledger or a claim
• Lead the backend engineers: set the standard, review their work in progress rather than only at the end, and keep the codebase something a new engineer can be productive in within a fortnight
• Turn what a hospital actually does into a model the software can hold, working from real documents — a tariff sheet, a rate contract, a scheme circular — which will be inconsistent, hand-maintained and full of exceptions
• Own the Application Programming Interface (API) contracts the web and mobile applications consume, and keep them stable enough to be relied on
• Correctness You Can Prove
• Make every write auditable and attributable: who did it, when, and what it replaced — corrections by reversal, never by silent overwrite
• Hold the line on money and stock, where a rounding error is a real rupee in a real hospital's accounts and a stock count that drifts is medicine that cannot be found — Decimal for every amount, never a float
• Make clinical safety checks real: allergy and interaction checks, dose limits by age and weight, critical values that must reach a human, and alerts a doctor cannot silently lose
• Build multi-tenancy in from the first table — one platform serving many hospitals, with no path by which one can see another's data

Who can apply

• Our stack — what you will work in day to day
• Language — Python 3.12 with type hints everywhere, and Structured Query Language (SQL)
• Framework — FastAPI, with Pydantic v2 for validation and serialisation
• Database access — SQLAlchemy 2.0 in async mode, with Alembic for migrations
• Typing, enforced — mypy or Pyright in strict mode, failing the build. Python's type hints are optional at runtime, so we make them non-optional in continuous integration
• Database — PostgreSQL 16, with migrations, indexes and query plans. Managed Postgres on whichever cloud a hospital requires: Amazon Relational Database Service (RDS) or Aurora, Google Cloud SQL or AlloyDB, or Azure Database for PostgreSQL
• Caching — Redis (Amazon ElastiCache, Google Memorystore or Azure Cache for Redis)
• Background work and events — a task queue with idempotent consumers, dead-letter handling and replay: Celery, Dramatiq, arq or a PostgreSQL-backed queue, on a broker we can run ourselves rather than one that ties us to a single cloud
• Object storage — behind one interface, with a driver per provider: Amazon Simple Storage Service (S3), Google Cloud Storage or Azure Blob Storage
• Containers and cloud — Docker everywhere, which is what makes the platform portable across Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure: Amazon Elastic Container Service (ECS) Fargate, Google Cloud Run, Azure Container Apps, or Kubernetes where a customer requires it

About India Health Link

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