Senior Python Backend Engineer | Django, FastAPI, Cloud

EdgeQ Technologies Private Limited

Seattle (WA)

Hybrid

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

EdgeQ Technologies Private Limited seeks a Senior Python Developer to design and build high-performance backend systems for enterprise applications. You will use Python, Django, FastAPI, and modern cloud technologies in a hybrid work environment.

You will design scalable backends, APIs, and microservices, while mentoring juniors and driving code quality across teams. The role emphasizes security, performance, and robust data modeling in a Seattle-based setting.

Qualifications

  • 6–12 years of professional Python development experience.
  • Strong expertise in Python, Django, and FastAPI.
  • Experience with REST APIs, microservices, and database technologies such as PostgreSQL, MySQL, or MongoDB.
  • Solid understanding of object‑oriented programming, design patterns, and asynchronous programming.
  • Proficiency with Git, unit testing, and automated testing frameworks.

Responsibilities

  • Design and develop scalable backend applications using Python.
  • Build web applications with Django and FastAPI.
  • Develop RESTful APIs and microservices architecture.
  • Design and optimize database schemas, queries, and data models.
  • Implement authentication, authorization, and API security.
  • Conduct code reviews and mentor junior developers.

Skills

Python
Django
FastAPI
REST APIs
Microservices
PostgreSQL
MySQL
MongoDB
OOP
Asynchronous programming
Git
Unit testing
CI/CD

Tools

Docker
Kubernetes
CI/CD pipelines

Job description

EdgeQ Technologies Private Limited seeks a Senior Python Developer to design and build high-performance backend systems for enterprise applications. You will use Python, Django, FastAPI, and modern cloud technologies in a hybrid work environment.

You will design scalable backends, APIs, and microservices, while mentoring juniors and driving code quality across teams. The role emphasizes security, performance, and robust data modeling in a Seattle-based setting.

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