Python Developer Only W2

Role : Python Developer Duration : Long Term Contract Location : Charlotte NC OR Irving, TX Hybrid The Role Responsibilities: • Develop, enhance, and maintain Python-based banking applications with a focus on clean, efficient, and reliable code. • Design and implement algorithms, data structures, and solutions to optimize application performance. • Build and consume RESTful APIs to facilitate seamless data exchange and integration across banking systems. • Develop web applications using Python frameworks such as Django, Flask, or FastAPI. • Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). • Collaborate with cross-functional teams on system design, architecture, and best practices in development. • Implement CI/CD pipelines using Jenkins, GitLab CI, or Circle CI for automated testing and deployment. • Deploy applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. • Engage in troubleshooting, code reviews, and ensuring compliance with banking security standards. • Work with legacy banking systems, migration projects, and modernization efforts. Requirements: • Bachelor’s degree in Computer Science, Software Engineering, or related field. • 10+ years of professional experience in Python development, with substantial banking domain exposure. • Strong mastery of Python syntax, data structures, object-oriented programming, and design patterns. • Extensive experience with Python web frameworks such as Django, Flask, or FastAPI. • Proven experience designing and integrating RESTful APIs. • Hands-on knowledge of database systems like SQL Server, Oracle, or similar, and ORM frameworks such as Django ORM or SQLAlchemy. • Familiarity with cloud deployment (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. • Solid understanding of CI/CD practices and tools. • Excellent problem-solving skills, attention to detail, and ability to work under deadlines. • Preferred: Experience working within banking or financial institutions. Preferred, but not required: • Knowledge of machine learning libraries such as SciPy, Scikit-learn, TensorFlow. • Experience with legacy banking systems and modernization projects. • Strong communication skills and team collaboration experience. • Agile/Scrum development experience.