About the job Python API Developer
We are looking for a mid-level Python developer role focused on API development. At this level, the developer is expected to work independently, handling end-to-end API projects with minimal supervision. This includes designing, implementing, testing, and deploying APIs, while occasionally collaborating with teams. Assume 3-5 years of relevant experience as a baseline and cloud experience, ideally with Azure or multi-cloud.
Main responsibilities
As an independent developer, expect to own API projects from conception to maintenance. Key duties include:
- Designing and architecting scalable APIs based on business requirements.
- Implementing features, debugging issues, and optimizing performance without constant oversight.
- Collaborating with frontend teams or stakeholders to define API contracts (e.g., via OpenAPI/Swagger docs).
- Conducting code reviews, mentoring juniors if needed, and ensuring compliance with standards.
- Troubleshooting production issues and iterating on APIs based on feedback/metrics.
- Staying updated with Python ecosystem trends (e.g., via PyCon or online communities).
Required Qualifications
- Bachelors degree in computer science, engineering, or a related field (or equivalent experience).
- 3-5 years of professional experience in backend development, with at least 2 years focused on Python-based APIs.
- Proven track record of delivering production-ready APIs in real-world projects (e.g., via GitHub portfolio or references).
- Familiarity with agile methodologies and version control (e.g., Git).
- Experience with Azure Functions, APIs, Microsoft Fabric, and Jupyter Notebooks development is a plus.
Technical Skills
These are prioritized from core essentials to advanced proficiencies. The developer should be able to apply these in Python environments independently.
1. Python Proficiency (High Priority):
- Strong command of Python 3.x, including asynchronous programming (Asencio), decorators, context managers, and error handling.
- Experience with key libraries: requests, json, datetime, and typing for type hints.
2. API Frameworks and Design (High Priority):
- Expertise in at least one major framework: FastAPI (preferred for modern async APIs), Flask, or Django REST Framework.
- Solid understanding of API design principles: RESTful architecture, HTTP methods/status codes, versioning, pagination, and error responses.
- Ability to implement GraphQL APIs using libraries like Strawberry or Graphene (bonus).
- Proficiency with databases: SQL (PostgreSQL/MySQL via SQLAlchemy) and NoSQL (MongoDB via PyMongo).
- Data validation and serialization using Pydantic or similar.
- Integration with external services: message queues (e.g., Celery with RabbitMQ/Redis), caching (Redis), and third-party APIs.
- Implementation of authentication/authorization: JWT, OAuth2, API keys.
- Knowledge of security fundamentals: input sanitization, rate limiting, CORS, HTTPS, and OWASP top 10 vulnerabilities.
- Environment management: virtualenvs, Docker for containerization.
- Writing unit, integration, and end-to-end tests using pytest, unittest, or httpx.
- Code quality tools: linting (Black, Flake8), type checking (mypy), and coverage analysis.
- Experience deploying APIs to cloud platforms (e.g., AWS, Heroku, Vercel) using CI/CD pipelines (GitHub Actions, Jenkins).
- Monitoring and logging: tools like Sentry, Prometheus, or logging libraries.
- Scalability basics: load balancing, async processing for high-traffic APIs.
- Real-time features: WebSockets with FastAPI or Socket.IO.
- Performance optimization: profiling with cProfile, caching strategies.
- Problem-Solving: Ability to research and resolve complex issues autonomously (e.g., using Stack Overflow, docs).
- Time Management: Prioritize tasks, meet deadlines, and handle multiple projects.
- Communication: Clearly document code/APIs and explain technical decisions to non- technical stakeholders.
- Adaptability: Quickly learn new tools or adapt to changing requirements.
- Initiative: Proactively suggest improvements, like refactoring for efficiency.
Evaluation Criteria
During hiring, candidates might be assessed via:
Coding interviews: Build a sample API (e.g., CRUD with auth).
Take-home assignments: Extend an existing API project idea into a functional prototype with deployment guidance.
Discussions: Explain past projects, trade-offs (e.g., REST vs. GraphQL).