Senior Python + Fast API Developer
6 days ago
We are looking for an experienced Python Developer with strong expertise in Fast API to design, develop, and maintain scalable backend systems. The ideal candidate should have hands-on experience in API development, microservices, and cloud integration, with a deep understanding of modern backend architecture and performance optimization.
Key Responsibilities:
- Design, develop, and maintain RESTful APIs and backend services using Python (Fast API).
- Build, optimize, and manage microservices architecture and asynchronous applications.
- Integrate and manage databases (PostgreSQL, MySQL, MongoDB, etc.) efficiently.
- Write reusable, testable, and efficient code following best coding practices.
- Implement authentication and authorization using OAuth2/JWT.
- Work closely with frontend and DevOps teams to ensure seamless integration.
- Develop unit and integration tests using frameworks like PyTest or Unit test.
- Deploy, monitor, and troubleshoot applications on cloud platforms (AWS/Azure/GCP).
- Maintain API documentation using Open API/Swagger.
- Participate in code reviews, architecture discussions, and Agile ceremonies.
Required Skills & Experience:
- Minimum 5 years of hands-on backend development experience with Python.
- At least 3+ years of experience with Fast API (Flask or Django experience is a plus).
- Strong knowledge of RESTful API design, microservices, and event-driven architecture.
- Proficiency in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB).
- Experience with async programming and concurrent request handling.
- Familiarity with Docker, Git, and CI/CD pipelines.
- Experience with logging, monitoring, and debugging tools.
- Strong understanding of software design patterns and clean architecture principles.
- Good knowledge of cloud environments (AWS, Azure, or GCP).
- Excellent problem-solving, communication, and collaboration skills.
Good to Have:
- Experience with Celery, Redis, or RabbitMQ for background task processing.
- Knowledge of Graph QL or WebSocket APIs.
- Exposure to container orchestration tools like Kubernetes.
- Familiarity with API security best practices and performance optimization.
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