
Senior Backend Python Engineer
1 day ago
Backend Developer
We are seeking a skilled Backend Developer to join our team. As a key member of our development team, you will be responsible for designing, developing, and maintaining high-quality backend applications using Python.
Key Responsibilities:
- Develop, test, and maintain backend applications using Django, Flask, or FastAPI.
- Build RESTful APIs and integrate third-party services to enhance platform capabilities.
- Utilize data handling libraries like Pandas and NumPy for efficient data processing.
- Write clean, maintainable, and well-documented code that adheres to industry best practices.
- Participate in code reviews and mentor junior developers.
- Collaborate in Agile teams using Scrum or Kanban workflows.
- Troubleshoot and debug production issues with a proactive and analytical approach.
Required Qualifications:
- 2 to 5 years of experience in backend development with Python.
- Proficiency in core and advanced Python concepts, including OOP and asynchronous programming.
- Strong command over at least one Python framework (Django, Flask, or FastAPI).
- Experience with data libraries like Pandas and NumPy.
- Understanding of authentication/authorization mechanisms, middleware, and dependency injection.
- Familiarity with version control systems like Git.
- Comfortable working in Linux environments.
Benefits:
- Expertise in backend Python development and web frameworks.
- Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs).
- Strong debugging, problem-solving, and optimization skills.
- Experience with API development and microservices architecture.
- Deep understanding of software design principles and security best practices.
Other Opportunities:
- Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Knowledge of containerization tools (Docker, Kubernetes).
- Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures.
- Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO).
- Familiarity with Agile practices and tools like Jira or Trello.
- Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure).
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