Senior Full Stack Developer (Python + React. JS ) Verified listing

We are seeking a highly skilled Sr. Full Stack Developer (Python + React JS) who can architect, develop, and deploy robust applications. The ideal candidate will have strong backend expertise in Python along with solid frontend experience in React.js. You should be able to lead development activities, guide junior developers, collaborate with cross-functional teams, and deliver scalable, high-quality solutions.

Roles & Responsibilities

Backend (Python)

• Develop, optimize, and maintain large-scale Python web applications using frameworks such as FastAPI / Django /Flask.
• Design RESTful APIs / SOAP Services and work with tools like Postman/Newman.
• Build scalable, distributed systems following microservices and SOA architecture.
• Work with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).
• Implement software best practices including TDD, CI/CD, and Agile methodologies (Scrum/XP).
• Utilize AI/ML libraries (Pandas, NumPy, TensorFlow, Keras, OpenCV etc.)—added advantage.
• Write optimized SQL queries, stored procedures, functions, views, joins, and database operations.

Frontend (React JS)

• Develop user interface components using React JS and workflows like Redux, Flux, Webpack.
• Translate UI/UX wireframes into high-quality code.
• Debug, troubleshoot, and enhance frontend performance.
• Implement and maintain documentation for frontend modules.
• Work on responsive design, PWA concepts, and browser-based performance testing (Mocha, Jest).

General / Leadership

• Lead and guide junior team members when required.
• Conduct internal technical sessions.
• Collaborate with clients and in-house cross-functional teams.
• Bring strong analytical thinking, positive approach, and excellent communication skills.

Technical Skill Requirements

Must Have

• Strong command over Python, OOP, data structures, algorithms.
• React.js, JavaScript (ES6+), HTML, CSS, jQuery, Bootstrap.
• REST APIs, microservices, SQL & NoSQL databases.
• Use of AI based code editor like Cursor.
• Experience with Agile development.
• VS Code / Jupyter Notebook proficiency.

Good to Have

• Knowledge of AI/ML frameworks.
• AWS services (EC2, S3, EMR) exposure.
• Performance testing frameworks (Mocha, Jest).