Full Stack Python Developer – Charlotte, NC (Onsite)

Title: Full Stack Python Developer

Location: Charlotte, NC Onsite

Duration: 8 months with possible extension

Client: Cognizant/AIG Insurance

Job Description:

·         Lead the full lifecycle development of web applications, from conceptualization and design to implementation, testing, deployment, and maintenance.

·         Architect and develop robust and scalable backend systems using Python and relevant frameworks (e.g., Django, Flask).

·         Design and implement intuitive and high-performance user interfaces using Angular and modern front-end technologies.

·         Leverage AWS Bedrock to integrate and utilize various foundation models for tasks such as natural language processing, text generation, and more.

·         Design, develop, and implement agentic systems, including planning, reasoning, tool usage, and memory management, to automate complex workflows and enhance application intelligence.

·         Develop and maintain APIs (RESTful, GraphQL) to facilitate communication between front-end and back-end systems, as well as integration with external services.

·         Design and manage data models and databases (both relational and NoSQL) to support application requirements.

·         Write clean, well-documented, and testable code following best practices and coding standards.

·         Collaborate effectively with product managers, designers, data scientists, and other engineers in an agile development environment.

·         Participate in code reviews to ensure code quality and knowledge sharing.

·         Troubleshoot and debug complex issues across the full stack.

·         Stay up to date with the latest advancements in Angular, Python, cloud technologies (especially AWS), large language models, and agentic systems.

·         Contribute to technical documentation and knowledge sharing within the team.

Top 3 Skills Required:

·         Angular

·         Python

·         AWS cloud technologies

Additional Skills:

·         Knowledge of AWS Bedrock to integrate and utilize various foundation models.

·         Experience with REST APIs.