What are the responsibilities and job description for the Python developer with GenAI position at CADRE TECHNOLOGIES SERVICES LLC?
Title: Python developer with GenAI, LLM, NLP exp
Location: Charlotte, NC
Client: Wells Fargo
Rate: $60/Hr
Visa: USC/GC The Role
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 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 tool 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 application hosted on cloud environment.
Understanding of high availability, scalability, and resilience in software systems
Experience with CI/CD technologies such as Gradle, Jenkins, GitHub, Artifactory, Harness, Sonar, open shift/Kubernetes, Docker etc.
Experience on automated unit testing framework Pytest, magicmock
Experience on agile software development lifecycle.
Object oriented design and analysis, programming styles and design patterns.
Capable of reasoning and thinking through problems and developing desired solutions, independently or with others as required
Capable of leading development team and mentor team members on solution design and implementation
Strong problem-solving and analytical skills
Good written and verbal communication
Ability to work independently with little or no supervision.
Ability to understand team dynamics and use interpersonal skills and personal judgment to achieve goals
Preferred, But Not Required
Understanding of Cloud principles and experience on 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 of machine learning concepts and algorithms.
Familiarity with machine learning frameworks such as Tensorflow, PyTorch.
Familiarity with Google cloud AI tools like gemini and gecko for advanced M
Location: Charlotte, NC
Client: Wells Fargo
Rate: $60/Hr
Visa: USC/GC The Role
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 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 tool 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 application hosted on cloud environment.
Understanding of high availability, scalability, and resilience in software systems
Experience with CI/CD technologies such as Gradle, Jenkins, GitHub, Artifactory, Harness, Sonar, open shift/Kubernetes, Docker etc.
Experience on automated unit testing framework Pytest, magicmock
Experience on agile software development lifecycle.
Object oriented design and analysis, programming styles and design patterns.
Capable of reasoning and thinking through problems and developing desired solutions, independently or with others as required
Capable of leading development team and mentor team members on solution design and implementation
Strong problem-solving and analytical skills
Good written and verbal communication
Ability to work independently with little or no supervision.
Ability to understand team dynamics and use interpersonal skills and personal judgment to achieve goals
Preferred, But Not Required
Understanding of Cloud principles and experience on 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 of machine learning concepts and algorithms.
Familiarity with machine learning frameworks such as Tensorflow, PyTorch.
Familiarity with Google cloud AI tools like gemini and gecko for advanced M
Salary : $60
