SDE II Python Developer

We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions.

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.

Must-Have Skills

• 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 micro services architecture.

• Deep understanding of software design principles and security best practices.

Good-to-Have Skills

• 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).