Backend Systems Engineer (Python)

Specialize in building robust, high-performance backends and scalable APIs using Python's powerful ecosystem. Learn modern server architecture and reliable data persistence.

01Curriculum Sequence

1

Python Programming: From Beginner to Production

beginner • python

2

HTTP & Networking: How the Web Works

beginner • http

3

FastAPI Framework Engineering

beginner • fastapi

4

Flask Framework Engineering

beginner • flask

5

SQL Engineering Mastery

beginner • sql

6

Database Engineering & Storage Systems

beginner • databases

02Capstone Projects

Scalable REST API with Database Persistence

Architect a production-ready API with authentication, data validation, and optimized relational database queries.

Project: Scalable REST API with Database Persistence

Architect a production-ready API with authentication, data validation, and optimized relational database queries.

Goal

Build a high-performance backend service that emphasizes security, speed, and data integrity using FastAPI and PostgreSQL.

Key Features

  • Asynchronous Operations: Maximize throughput with async database drivers.
  • Pydantic Validation: Robust type checking and automated documentation.
  • OAuth2 Security: Modern industry-standard authentication flow.
  • Relational Integrity: Clean, normalized database schema with optimized joins.
  • Error Handling: Comprehensive and consistent error response structures.

Tech Stack

  • Python: High-level, expressive logic.
  • FastAPI: Modern, high-performance web framework.
  • SQL (PostgreSQL): Reliable and powerful relational storage.
  • HTTP: Mastery of protocols and status codes.

Implementation Steps

  1. Schema Definition: Model entities and relationships clearly.
  2. API Endpoint Engineering: Implement logic for all CRUD operations.
  3. Security Integration: Add authentication and authorization layers.
  4. Performance Tuning: Optimize SQL queries and implement caching.
  5. Testing: Write comprehensive unit and integration tests.