Senior Python Backend Engineer (Django/FastAPI)

Ethereum Technologies; Dearborn (MI); On-site; USD 120,000 - 190,000; Full time

Job summary

Ethereum Technologies is seeking a Senior Python Developer to design, develop, and maintain scalable backend applications and enterprise software solutions. The role focuses on Python, Django, FastAPI, PostgreSQL, REST APIs, and cloud-based development.

The ideal candidate will build robust APIs, optimize data access, implement asynchronous processing with Celery and Redis, and contribute to cloud deployments using AWS services.

Qualifications

• Strong hands-on Python development experience in backend systems.
• Expertise with Django and FastAPI for RESTful APIs.
• Deep knowledge of PostgreSQL and SQLAlchemy for data access.
• Experience with asynchronous processing using Celery and Redis.
• Familiarity with CI/CD, Docker, and cloud deployments.

Responsibilities

• Design, develop, and maintain backend applications using Python.
• Build scalable RESTful APIs with Django and FastAPI.
• Develop reusable components and backend services.
• Implement database integration with PostgreSQL and SQLAlchemy.
• Implement asynchronous processing with Celery and Redis.
• Deploy and maintain applications in cloud environments.
• Collaborate with frontend, QA, and architecture teams.
• Participate in code reviews and Agile development.
• Ensure testability with unit tests and CI checks.

Skills

Python programming

Django

FastAPI

REST API development

PostgreSQL

SQLAlchemy

Redis

Celery

Asynchronous programming

Multithreading

Docker

Git

Jenkins

CI/CD pipelines

Pytest

OO design patterns

Tools

Docker

Kubernetes

Git

Jenkins

CI/CD pipelines

AWS

Job description

Ethereum Technologies is seeking a Senior Python Developer to design, develop, and maintain scalable backend applications and enterprise software solutions. The role focuses on Python, Django, FastAPI, PostgreSQL, REST APIs, and cloud-based development.

The ideal candidate will build robust APIs, optimize data access, implement asynchronous processing with Celery and Redis, and contribute to cloud deployments using AWS services.