Python Fullstack Developer

About the Role:

We’re looking for a full-stack developer with a strong backend focus (2–4 years of experience) who thrives on building scalable systems, loves clean architecture, and embraces the power of AI-assisted development.

You’ll lead the design and development of robust RESTful services, work on performance-critical backend components, and step into the frontend especially with JavaScript frameworks like React to deliver end-to-end features.

If you're passionate about systems and enjoy the flexibility to work across the stack, and you're already using (or excited to use) AI tools to code, debug, and test faster, we’d love to hear from you.

What You’ll Do:

1. Design, develop, and maintain backend services, RESTful
   APIs for scalable microservices.
2. Write clean, well-documented, and testable code in Python using Flask framework.
3. Build and optimize scalable microservices and data models using relational and NoSQL databases.
4. Collaborate with cross-functional teams including product, design, and frontend engineers to deliver reliable features.
5. Use observability tools (e.g., logs, metrics, traces) to debug and optimize backend performance.
6. Leverage

   AI-driven development

   (e.g., Cursor AI, Codex, Copilot, Gemini, Windsurf) for code generation, testing, and debugging.
7. Participate in code reviews and contribute to improving engineering best practices.

Frontend Exposure (Nice to Have / Required)

1. Contribute to UI development using

   JavaScript (React or NextJS)

2. Understand frontend-backend integration, including API consumption and state management
3. Debug issues across the stack (browser to database)

What We’re Looking For:

1. 2–4 years of backend development experience.
2. Proficiency in Python
3. Strong understanding of

   Data Structures

   ,

   Algorithms

   , and

   SQL

   .
4. Basic frontend experience using JavaScript frameworks (e.g., React, NextJS) for building UI components and integrating APIs.
5. Experience with

   REST APIs

   ,

   microservices

   , and database systems like

   PostgreSQL

   ,

   MySQL

   ,

   DynamoDB

   or

   MongoDB

   .

6. Proficiency in AI prompting

   for code generation, debugging, and automation.
7. Familiarity with one of the AI tools (e.g., Cursor AI, Codex, Copilot, Gemini, Windsurf)
8. Experience with microservices architecture, version control (Git), and CI/CD workflows.
9. Clear communication and ability to work in an agile, collaborative environment.