Build a Production-Ready Golang Backend API (Clean Architecture, High Performance)
Budget: $30 – $250 USD
I’m looking for a skilled Golang developer to build a production-ready backend API following clean architecture principles.
This project is intentionally small in scope but should demonstrate strong engineering practices, performance awareness, and clean code structure.
The goal is to create a solid foundation that can be extended into a larger system.
-Tech Stack
Language: Golang (latest stable version)
Architecture: Clean Architecture (Domain / Use-case / Delivery layers)
Database: PostgreSQL or MySQL
API: REST (JSON-based)
-Core Features
Implement a simple domain (e.g., User / Task / Booking system)
CRUD operations with proper validation
Clean separation of layers:
Domain models
Use cases (business logic)
Handlers (HTTP layer)
Proper error handling and structured responses
-Production Readiness
Even though this is a small project, I expect production-level fundamentals:
Structured logging
Basic metrics or health check endpoint (/health)
Environment-based configuration
Graceful shutdown
-Database
Schema design (normalized and scalable)
Migration scripts
Repository pattern (testable data layer)
-Deliverables
Clean, well-structured source code
Working API with example endpoints
Database migrations + seed data
Docker setup
README with:
Setup steps
API usage examples
-Budget
Fixed budget: $50
Scope is intentionally limited — focus on quality over quantity
This project is intentionally small in scope but should demonstrate strong engineering practices, performance awareness, and clean code structure.
The goal is to create a solid foundation that can be extended into a larger system.
-Tech Stack
Language: Golang (latest stable version)
Architecture: Clean Architecture (Domain / Use-case / Delivery layers)
Database: PostgreSQL or MySQL
API: REST (JSON-based)
-Core Features
Implement a simple domain (e.g., User / Task / Booking system)
CRUD operations with proper validation
Clean separation of layers:
Domain models
Use cases (business logic)
Handlers (HTTP layer)
Proper error handling and structured responses
-Production Readiness
Even though this is a small project, I expect production-level fundamentals:
Structured logging
Basic metrics or health check endpoint (/health)
Environment-based configuration
Graceful shutdown
-Database
Schema design (normalized and scalable)
Migration scripts
Repository pattern (testable data layer)
-Deliverables
Clean, well-structured source code
Working API with example endpoints
Database migrations + seed data
Docker setup
README with:
Setup steps
API usage examples
-Budget
Fixed budget: $50
Scope is intentionally limited — focus on quality over quantity