Python Full Stack Developer - AngularJS (3-7 yrs)

We are seeking a skilled Python Full Stack Developer with expertise in React or Angular to join our team.

The ideal candidate should have experience in backend development with Python (Django/Flask/FastAPI) and frontend development with React.js or Angular.

You will be responsible for designing, developing, and deploying scalable web applications, ensuring seamless integration between the frontend and backend.

Key Responsibilities :

- Design, develop, and maintain full-stack applications using Python (Django/Flask/FastAPI) and React.js/Angular.

- Develop RESTful APIs and integrate them with the frontend.

- Implement responsive UI components with React.js (Hooks, Redux) or Angular (RxJS, NgRx).

- Design and optimize database schemas (SQL & NoSQL - PostgreSQL, MySQL, MongoDB).

- Work with authentication and security best practices (OAuth, JWT, CSRF protection).

- Optimize applications for speed, scalability, and performance.

- Write unit tests and perform code reviews to ensure high code quality.

- Stay up to date with industry trends and emerging technologies.

Required Skills & Qualifications :

- Backend (Python)

- Strong experience in Python with frameworks like Django, Flask, or FastAPI.

- Experience building RESTful APIs and Microservices.

- Proficiency in ORMs (Django ORM, SQLAlchemy).

- Knowledge of asynchronous programming (Celery, AsyncIO).

- Experience with unit testing and debugging tools.

- Frontend (React / Angular)

- Strong expertise in React.js or Angular.

- Experience with state management libraries (Redux, Context API, NgRx).

- Knowledge of TypeScript, ES6+, HTML5, CSS3, SCSS.

- Familiarity with Material UI, Bootstrap, or Tailwind CSS.

- Understanding of component lifecycle, hooks, and performance optimization.

- DevOps & Cloud

- Experience with Docker, Kubernetes, CI/CD pipelines.

- Familiarity with AWS, Azure, or Google Cloud services.

- Knowledge of serverless computing (AWS Lambda, Firebase Functions) is a plus.

Databases :

- Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.

- Experience with database optimization and indexing techniques.