Python Developer
Eversoft Technologies LLC
Charlotte, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Charlotte, United States of America
Tech stack
JavaScript
API
Amazon Web Services (AWS)
HTML5
Azure
Bootstrap
CSS
Code Review
Databases
Django
Design of User Interfaces
Python
PostgreSQL
MongoDB
MySQL
Scrum
Responsive Web Design
SQLAlchemy
Web Application Frameworks
Web Performance Optimization
Google Cloud Platform
React
Flask
Delivery Pipeline
iOS
Backend
FastAPI
Material Design
Kubernetes
GraphQL
Front End Software Development
React
REST
Es2015
Docker
Microservices
Job description
We are looking for a skilled Python Developer with React expertise to build scalable, high-performance web applications. The ideal candidate will have strong backend development experience in Python along with modern frontend development using React.js.
You will be responsible for designing APIs, building user interfaces, and delivering end-to-end solutions in a full stack environment., * Develop and maintain backend services using Python frameworks
- Build responsive and dynamic frontend applications using React.js
- Design and implement RESTful APIs
- Collaborate with UI/UX designers to deliver seamless user experiences
- Integrate frontend components with backend APIs
- Optimize applications for performance, scalability, and security
- Write clean, maintainable, and testable code
- Participate in code reviews and Agile/Scrum ceremonies
Requirements
- Strong experience with Python
- Frameworks: Django / Flask / FastAPI
- Experience building REST APIs
- Knowledge of ORM (Django ORM / SQLAlchemy)
️ Frontend (React)
- Strong experience with React.js
- Proficiency in JavaScript (ES6+), HTML5, CSS3
- Experience with Redux / Context API
- Familiarity with responsive design & UI frameworks (Bootstrap, Material UI)
️ Database
- PostgreSQL / MySQL / MongoDB
- Writing optimized queries, * Experience with cloud platforms (AWS / Azure / Google Cloud Platform)
- Familiarity with Docker / Kubernetes
- Knowledge of CI/CD pipelines
- Experience with GraphQL
- Exposure to microservices architecture