Python Full Stack Engineer

4 days ago

Bengaluru, Karnataka, India Relevance Lab Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About the Role

We are looking for a highly skilled Python Full Stack Engineer with strong expertise in developing end-to-end web applications. The ideal candidate will be experienced in building scalable, high-performance applications using Python (FastAPI or Flask + RESTful API) for the backend and + TypeScript for the frontend.

This role focuses exclusively on core application/web development (small or large scale) and does not involve dashboard development, business intelligence, DevOps, data applications, or AI-related projects.

Key Responsibilities

  • Design, develop, and maintain full-stack web applications.
  • Build and consume RESTful APIs using Python (FastAPI or Flask).
  • Implement responsive and user-friendly interfaces using and TypeScript.
  • Integrate frontend and backend components for seamless functionality.
  • Deploy and maintain applications on AWS, Azure, or GCP.
  • Optimize application performance, security, and scalability.
  • Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.

Required Skills & Experience

  • Strong proficiency in Python for backend development.
  • Experience with FastAPI or Flask and RESTful API design.
  • Proficiency in and TypeScript for frontend development.
  • Hands-on experience with any major cloud platform (AWS, Azure, or GCP).
  • Proven track record in web application development (small or large scale).
  • Solid understanding of software architecture, security best practices, and deployment pipelines.
  • Strong problem-solving and debugging skills.

Nice-to-Have Skills

  • Experience with relational or NoSQL databases.
  • Familiarity with CI/CD workflows.
  • Knowledge of containerization (Docker) and orchestration (Kubernetes) is a plus, but not required.

What We Dont Need

This role is not for candidates whose experience is primarily in:

  • Dashboard / BI tools
  • Data analytics / Data engineering
  • AI/ML applications
  • DevOps-only roles

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