Senior Python Backend Engineer – Django/REST | Hybrid

Senior Python Backend Engineer – Django/REST | Hybrid

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Write clean, beautiful code and develop Restful APIs in Django.
  • Company: Join a dynamic team at a forward-thinking tech company.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for innovation.
  • Other info: Great career growth potential in a supportive environment.
  • Why this job: Make an impact by collaborating on exciting projects with AI engineers.
  • Qualifications: Experience in Python and Django, with a passion for coding.

The predicted salary is between 50000 - 70000 £ per year.

the company is seeking Mid and Senior Python Developers to join our back-end development team.

This is a varied and challenging programming role, writing code to manage incoming data, working with AI Engineers to analyse huge data sets, or writing Restful APIs in Django to support the React front end.

Our ideal candidate takes pride in their work—producing clean, tested, beautiful code.

There are opportunities to innovate as you collaborate with stakeholders to design and implement new features.

#J-18808-Ljbffr

Senior Python Backend Engineer – Django/REST | Hybrid employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Senior Python Backend Engineer – Django/REST | Hybrid

Python
Django
RESTful APIs
Data Management
Collaboration with AI Engineers
Data Analysis
Clean Code Practices