backend-python-developer

Structure a Python backend using a strict three-tier architecture: an API Layer for routing, a Business Logic Layer for rules, and a Data Layer for persistence. This separation ensures scalable, maintainable enterprise applications across FastAPI, Django, or Flask.

Set up pytest testing and mypy type checking by enforcing strict typing with type hints throughout the API Layer, Business Logic, and Data Layer. This approach guarantees rigorous error handling and robust security for your Python backend.

Yes, you can use SQLAlchemy, Django ORM, or Prisma for data modeling. They integrate directly into the Data Layer of the three-tier architecture, ensuring proper separation of database access from the API and Business Logic layers.

The best way to implement secure authentication in Python APIs is using JWT, OAuth, or session-based patterns. Integrating these within the Business Logic Layer ensures robust authorization and security best practices for enterprise backend applications.

Yes, the approach supports both REST and GraphQL API design. You can implement either protocol within the API Layer while maintaining the underlying three-tier architecture separation, strict typing, and pytest-driven testing standards.

Use a three-tier architecture for Python backend development to strictly separate API routing, business logic, and data access. This separation enforces maintainability, security best practices, and rigorous error handling better than a monolithic structure.