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Python Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with 10+ years of experience, specializing in MongoDB and backend services using FastAPI/Flask. Contract length is 1+ years, located in Dallas, Texas or Charlotte, North Carolina, with a pay rate of "$X per hour."
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 2, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Dallas, TX
🧠 - Skills detailed
#PyTorch #Unit Testing #React #Scrum #Jenkins #Database Management #Agile #FastAPI #Python #REST (Representational State Transfer) #Deployment #API (Application Programming Interface) #REST API #NumPy #Pandas #Programming #Flask #Kafka (Apache Kafka) #Microservices #MongoDB #AI (Artificial Intelligence) #Pytest #Data Aggregation #ML (Machine Learning) #Cloud #Docker #GitHub #GCP (Google Cloud Platform) #Artifactory #Scala #TensorFlow #Security #Kubernetes
Role description
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Role: Python Developer

Client Business Domain: Banking /Investment /Insurance

Location: Dallas, Texas OR Charlotte, North Carolina

Open only on :W2

Contract Period: 1+ Years

Must have Strong hands-on experience with MongoDB

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 GCP 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 GCP, OpenShift

   • Understanding of Banking/Lending domain.

   • Experience with GCP 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 ML