Python Backend Engineer - APIs, Cloud & Automation

MACHINE LEARNING TECHNOLOGIES LLC; Denver (CO); On-site; USD 55,000 - 96,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Python Developer to build scalable backend systems and data-driven applications in a healthcare-related domain. The role involves collaborating with engineering teams to deliver efficient software solutions and maintain high coding standards.

Responsibilities include API development with Django/Flask/FastAPI, database work with PostgreSQL and MongoDB, testing, and cloud integration.

Qualifications

• Proficient Python programming and modern backend frameworks.
• Experience designing RESTful APIs and integrating external services.
• Familiarity with Django, Flask, or FastAPI and databases such as PostgreSQL and MongoDB.
• Strong unit testing, debugging, and code quality practices.
• Experience with cloud platforms (AWS or Azure) and containerization (Docker).

Responsibilities

• Design and develop backend applications using Python.
• Build REST APIs and integrate external services.
• Develop applications using Django, Flask, or FastAPI.
• Write reusable, efficient, and maintainable code.
• Work with relational and NoSQL databases.
• Develop automation scripts to improve operational efficiency.
• Perform debugging, testing, and application optimization.
• Integrate applications with cloud-based services.
• Collaborate with cross-functional development teams.
• Maintain application documentation and coding standards.

Skills

Python programming

Django

Flask

FastAPI

REST API development

SQL/PostgreSQL

MongoDB

Object-oriented programming

Git/version control

AWS/Azure

Unit testing

Docker

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Python Developer to build scalable backend systems and data-driven applications in a healthcare-related domain. The role involves collaborating with engineering teams to deliver efficient software solutions and maintain high coding standards.

Responsibilities include API development with Django/Flask/FastAPI, database work with PostgreSQL and MongoDB, testing, and cloud integration.