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On-site

Job Type

Full Time

Job Description

About the Role:

Python Backend Engineer

Key Responsibilities:

Backend Development

  • Develop, optimize, and maintain backend systems using

    Python

    and any mainstream Python framework (Django, Flask, FastAPI, etc.).
  • Follow

    standard RESTful API development practices

    – including versioning, pagination, error handling, and logging.
  • Write and maintain

    unit and integration test cases

    to ensure code quality.
  • Implement secure and scalable

    authentication mechanisms

    (OAuth2.0, JWT, session-based, API keys, etc.).

Frontend Integration

  • Collaborate with frontend engineers working in

    React

    to ensure smooth API integration.
  • Handle

    SSO workflows

    ,

    session management

    , and common frontend-backend security flows (CORS, token handling).

DevOps & Infrastructure

  • Design and maintain

    CI/CD pipelines

    using

    GitHub Actions

    ,

    Jenkins

    , or similar tools.
  • Deploy and manage backend services across cloud platforms (

    AWS

    ,

    GCP

    , or

    Azure

    ).
  • Ensure observability, reliability, and scalability across deployments.

Must-Have Skills:

Area

Skill

Backend

Python + Any Python Framework (Django, Flask, etc.)

Backend

Unit + Integration Testing (e.g., Pytest, unittest)

Backend

Standard RESTful API Design Practices

Backend

Authentication mechanisms (OAuth2.0, JWT, etc.)

Frontend

React

Frontend

API Integration between React and backend

Frontend

SSO

CI/CD

Experience with CI/CD tools (GitHub Actions, Jenkins)

Cloud

Deployment or integration experience with cloud platforms (AWS/GCP/Azure)

Good-to-Have Skills:

Area

Skill

DevOps

Docker

AI/ML

AI/ML

Preferred Traits:

  • Comfortable working in a fast-paced, agile environment.
  • Ability to debug and troubleshoot production-grade services.
  • Eager to learn and contribute to cross-functional teams (AI, DevOps, Product).

Why Join Us?

  • Work on exciting projects involving

    AI/ML and GenAI integration

    .
  • Build systems from scratch with autonomy and technical ownership.
  • Friendly, collaborative culture with high-growth opportunities.

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