Job Description

Long term contract

Day 1 On site Charlotte, NC or Jersey City, NJ

W2 only !

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.

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