Python Full Stack Engineer

About the Role :

As a Python Full Stack Engineer, you will build and deliver end-to-end web applications using Python on the backend and React with TypeScript on the frontend. You will collaborate closely with product, design, and DevOps teams to develop scalable, high-performance solutions and contribute to system design and architecture decisions. You will own features from development through deployment and use AI-powered tools to accelerate development, improve code quality, and speed up debugging.

Responsibilities :

- Design, develop, and maintain scalable web applications using React on the frontend and Python on the backend.

- Build responsive, accessible, and user-friendly interfaces using React, hooks, and modern state management.

- Design and maintain RESTful APIs and microservices using Python frameworks such as FastAPI, Django, or Flask.

- Use AI-powered tools such as GitHub Copilot, Claude, and Cursor for coding, debugging, and optimization.

- Optimize applications for performance, scalability, and security across the technology stack.

- Write clean, maintainable, and well-tested code, including unit and integration tests.

- Participate in code reviews, sprint planning, and Agile ceremonies.

- Troubleshoot and resolve issues across frontend, backend, and infrastructure.

- Follow best practices in version control, CI/CD, and deployment.

Qualification Required :

- 4+ years of hands-on experience as a Full Stack or Software Engineer.

- Strong proficiency in Python with a modern web framework such as FastAPI, Django, or Flask.

- Strong proficiency in JavaScript/TypeScript and React, including hooks, state management, component architecture, and performance optimization.

- Solid understanding of API design, backend development, and distributed systems.

- Experience with relational and/or NoSQL databases such as PostgreSQL and MongoDB.

- Experience with Git, CI/CD pipelines, and Agile methodologies.

- Strong problem-solving and debugging skills.

Nice to Have :

- Comfortable adopting AI developer tools such as GitHub Copilot, Claude, and Cursor in day-to-day development.

- Familiarity with cloud platforms such as AWS, GCP, or Azure.

- Experience with testing frameworks such as pytest, Jest, and React Testing Library.

- Exposure to Golang, Angular, or Vue.