Get a fully documented REST API backend built with FastAPI, JWT authentication, role-based access control, SQLAlchemy on PostgreSQL, Alembic migrations, pytest coverage, structured logging, and a Docker Compose setup ready for local and server deployment.
I Will Build a Production-Ready FastAPI Backend With JWT Auth, PostgreSQL and Docker
A complete, documented REST API backend with auth, database layer, migrations, tests, logging, and Docker Compose — ready to run on any environment.
- FastAPI REST API with full OpenAPI documentation
- JWT authentication and role-based access control
- SQLAlchemy models on PostgreSQL with Alembic migrations
- pytest coverage for critical paths and auth flows
- Structured JSON logging for production observability
- Docker Compose setup for local and server environments
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Value Position
Tech Stack
Security Model
Test Coverage
Deployment Ready
What You'll Receive
Full Description
If you have a frontend, a data model, or a product idea — but no backend — this service delivers a solid, production-grade foundation you can ship with confidence.
Using FastAPI, I build a clean REST API with JWT authentication and role-based access control baked in from day one. Your data layer is handled by SQLAlchemy models on PostgreSQL, with Alembic migrations so your schema evolves safely across environments. Every critical path is covered by pytest tests, giving you a safety net before a single user touches the system.
AI tooling assists parts of the development workflow — accelerating boilerplate generation, test scaffolding, and documentation — while all architecture decisions, code review, and quality assurance remain hands-on.
The Docker Compose setup ensures the project runs identically on a laptop, a colleague's machine, and a Linux server — no environment surprises. Structured logging is included so you can actually understand what your application is doing in production. If you need cloud deployment, that can be arranged.
This service is equally suited to greenfield builds and to existing APIs that need hardening — tighter auth, proper migrations, test coverage, or a cleaner project structure.
**What makes this backend ready for production?**
- JWT authentication and role-based access control for secure, granular permissions
- SQLAlchemy ORM models on PostgreSQL with Alembic-managed schema migrations
- pytest suite covering the critical paths — auth flows, core business logic, error states
- Structured JSON logging for observability in staging and production
- Docker Compose configuration tested across Linux, macOS, and Windows
- Full OpenAPI documentation auto-generated by FastAPI, ready for your frontend team
With 3 years of backend development experience and availability across weekdays and weekends, you can expect clear communication and reliable delivery. Whether you are a solo founder, a small product team, or a startup that has outgrown a makeshift API, this service gets you to a codebase you can build on.
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Frequently Asked Questions
Ideally, share your data model or schema (even a rough diagram or list of entities), a description of the key user roles and permissions, and any frontend or mobile API contracts you already have. The more context you provide, the more precisely the API can be designed around your product.
Yes. The project follows standard FastAPI project structure conventions — routers, schemas, models, services, and dependencies are all separated. The auto-generated OpenAPI docs mean your frontend team can explore and test endpoints without waiting for written documentation.
Cloud deployment can be arranged — please mention your target platform (AWS, GCP, DigitalOcean, Railway, or similar) when placing your order so requirements can be confirmed upfront.
It means the authentication flows (register, login, token refresh, permission checks), core business logic endpoints, and key error states are covered by automated tests. It is not 100% line coverage of every route, but the parts most likely to cause production incidents are tested.
Yes. The setup is tested to run on Linux, macOS, and Windows. Docker Desktop is required on Windows and macOS; the project uses standard Compose v2 syntax.
PostgreSQL is the default. SQLAlchemy is database-agnostic, so switching to another supported database later is possible, but the setup, defaults, and Alembic migrations are all written for PostgreSQL.
One revision round is included. A revision covers adjustments to the delivered scope — changing an endpoint signature, adding a missing field, or fixing a bug in the delivered code. It does not cover new features or significant scope changes, which can be handled as a follow-on order.
AI tools assist with boilerplate generation, test scaffolding, and documentation drafts. All architectural decisions, code structure, security logic, and quality checks are reviewed and applied by me personally — AI accelerates delivery without compromising quality or correctness.
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