Backend Python Developer

Grow your career as a Senior Backend Python Developer with an innovative global bank in Jersey City, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6+ Months
Required Skills & Experience

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
• 5-7 years of experience developing backend systems and services using Python.
• Strong proficiency in Python and related libraries (e.g., NumPy, Pandas).
• Experience building REST APIs and working in microservices or service-oriented architectures.
• Experience with data processing, ETL pipelines, or data engineering concepts.
• Familiarity with LLMs and GenAI technologies.
• Understanding of distributed systems and backend integration patterns.
• Ability to work independently and collaboratively in a global team.

Desired Skills & Experience

• Experience with distributed data tools (e.g., Hadoop, Spark, Hive)
• Knowledge of databases (e.g., MySQL or other relational databases)
• Familiarity with containerization (Docker) and orchestration (Kubernetes/OpenShift)
• Background in financial services, banking, or risk environments
• Experience with AI developer tools such as Copilot

What You Will Be Doing

• Design, develop, and implement scalable backend systems using Python, with a focus on microservices and API-driven architecture.
• Build and maintain RESTful APIs and backend services for data ingestion, processing, and integration.
• Develop data processing pipelines to handle structured and unstructured data.
• Collaborate with global Technology teams across multiple time zones in a hybrid environment.
• Apply Object-Oriented Programming (OOP) principles and backend engineering best practices.
• Drive resolution of complex technical challenges through analysis of system flows and business processes.
• Ensure solutions align with enterprise architecture, performance, and scalability requirements.
• Establish and follow standards for coding, testing, debugging, and deployment in backend environments.
• Perform data extraction, transformation, and analysis to support business use cases.
• Implement unit testing and TDD to ensure reliability and maintainability of backend services.
• Contribute to microservices ecosystem, including service integration and inter-service communication.
• Support the integration of LLMs and GenAI capabilities into backend systems and workflows.
• Mentor junior developers and promote strong engineering and coding standards.
• Identify and manage risks, ensuring compliance with policies, regulatory requirements, and governance standards.