Senior Fullstack Developer (Python, React,Vite)

Role Overview

We are looking for an experienced Full Stack Developer to design, build, and scale high-performance web applications. You will own bothbackend services and frontend experiences, collaborating closely with the product team in a fast-paced, delivery-focused environment. The ideal candidate is proactive, self-driven, and comfortable working with modern tooling and AI-assisted development workflows.

Key Responsibilities

• Design, develop, and maintain scalable backend services and RESTful APIs using Python and FastAPI.
• Build responsive, high-quality user interfaces with React, Vite, and TypeScript.
• Integrate frontend and backend layers to deliver seamless end-to-end functionality.
• Design and optimize relational data models using PostgreSQL and SQLAlchemy.
• Implement robust authentication and authorization mechanisms.
• Write unit and integration tests to maintain software quality and reliability.
• Participate in CI/CD pipelines, containerization, and deployment processes.
• Deliver clean, maintainable, and well-documented code independently within tight timelines.

Required Skills & Qualifications

• 4+ years of professional experience in web application development.
• Strong proficiency in Python with hands-on experience using FastAPI.
• Solid experience with PostgreSQL, SQLAlchemy, and Pydantic for data modeling and validation.
• Frontend expertise in React, Vite, and TypeScript.
• Proficiency with Docker, containerization, and modern CI/CD practices.
• Strong command of Git and version control workflows.
• Experience with pytest or equivalent testing frameworks.
• Solid understanding of authentication and authorization patterns (OAuth 2.0, JWT, etc.).
• Familiarity with AI-assisted coding tools (Claude Code preferred) and strong prompt engineering practices.
• Strong analytical and problem-solving skills; ability to work independently with minimal supervision.

Nice to Have

• Experience in logistics or domain-driven software systems.
• Knowledge of AI/ML, Large Language Models (LLMs), or Generative AI.
• Exposure to cloud platforms and web application deployment (AWS, GCP, or Azure).