Python Developer With MongoDB - 10 Years

Role: Python Developer with MongoDB
Location: Charlotte, NC / Dallas, TX / Chicago, IL (Onsite)

Responsibilities:

Participate effectively in the entire software development life cycle.
Leading for solution design and implementation.
Design, develop, test and refine deliverables that meet the objectives.
Collaborate with US partners for requirement understanding solution implementation and deployments.
Collaborate with the Product Team, Scrum Master, Developers, QA and any other stakeholders as needed.
Analyze business and technology challenges and suggest solutions.
Responsible for application development, maintenance, and security requirements.

Requirements:

10+ years of experience as Python developer. Strong Python programming skills.
Design, develop, and maintain backend services using FastAPI/Flask.
Design, develop, and deploy microservices using Python.
In depth experience of python framework and tools such as NumPy, Pandas, pyMongo.
Implement event-driven architecture and use messaging queues such as Kafka, RabbitMQ or ActiveMQ for asynchronous processing.
Ensure efficient multithreading and concurrency in backend processes.
Design and implement secure REST APIs for consumption by a React application. Consume services provided by interface systems.
Write complex MongoDB queries and perform data aggregation.
Experience with MongoDB for database management and data retrieval.
Implement security measures to protect API endpoints.
Hands-on experience with Google Cloud Platform services, particularly Vertex AI, Document AI.
Understanding of Cloud principles and experience on developing applications hosted on cloud environment.
Understanding of high availability, scalability, and resilience in software systems.

Preferred, but not required:

Understanding Cloud principles and experience in developing Pivotal Cloud Foundry (PCF) hosted application and Google Cloud Platform, OpenShift.
Understanding of Banking/Lending domain.
Experience with Google Cloud Platform services, particularly Vertex AI, Document AI.
Knowledge of google cloud functions for developing and deploying serverless applications.
Understanding machine learning concepts and algorithms.
Familiarity with machine learning frameworks such as Tensorflow and PyTorch.
Familiarity with Google cloud AI tools like gemini and gecko for advanced ML