Responsibilities: Design, develop, and implement well-tested, reusable, and maintainable Python code. Utilize various Python libraries and frameworks (e.g., FastAPI, Django, Flask, Pandas, NumPy) to implement functionalities. Integrate various data sources (APIs, databases) to manipulate and analyze data. Optimize code for performance, scalability, and security. Write unit and integration tests for code coverage and stability. Collaborate with designers and other developers to translate requirements into efficient solutions. Participate in code reviews, providing constructive feedback to improve code quality. Stay up-to-date with the latest Python trends, libraries, and best practices. Debug and troubleshoot complex issues to ensure optimal application performance. Proactively suggest improvements and optimizations to existing codebase. Qualifications: 3-5 years of experience building software applications with Python programming language. Strong understanding of core Python concepts, OOP principles, and data structures. Experience with Asyncio Python asynchronous frameworks Experience with relational databases (e.g., postgreSQL) and data manipulation techniques. Knowledge of git(SCM) A willingness to learn new technologies as needed. Knowledge of testing frameworks like pytest or unittest. Excellent problem-solving, analytical, and debugging skills. Ability to work independently and as part of a team. Passion for clean code and continuous improvement. Good to have: Experience with CI/CD pipelines and build tools. Knowledge of docker container Experience with machine learning or data science libraries (e.g.,TensorFlow, PyTorch). Experience with DevOps tools and practices.