We are seeking an experienced Python Developer with strong expertise in MongoDB to lead the design, development, and deployment of scalable backend solutions. The ideal candidate will be responsible for guiding a team of developers, architecting robust data models, and building high-performance, secure APIs and microservices leveraging Python and MongoDB.
Location: Charlotte, North Carolina/ Irving, TX
Client Interview will be In person (mandatory )
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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