Senior Backend Engineer – SaaS (Python/Django), Remote

Xplor; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Xplor is seeking a back-end platform software engineer to design and write code in a multi-tenant SaaS environment. The role is fully remote within the US, requiring collaboration across time zones and strong Python/Django expertise.

Responsibilities include hands-on development with Django, Ember, and PostgreSQL, leading design initiatives, and maintaining robust tests while embracing AI in daily work. The team emphasizes collaboration, quality, and scalable systems.

Qualifications

• Experience collaborating in a remote environment.
• Proficient in Python and Django.
• Strong PostgreSQL and SQL skills.
• Experience with multi-tenant SaaS.
• Familiar with Git/GitHub and PR-based workflows.
• Experience with Docker.
• Knowledge of AWS basics.
• Testing and QA practices.
• Willingness to utilize AI in day-to-day work.

Responsibilities

• Collaboration with teammates and other functions in a geographically distributed remote environment
• Hands-on development with Python, Django, Ember and PostgreSQL
• Creating well-designed, testable, efficient systems following company processes and industry best practices
• Leading technical design initiatives and efforts
• Troubleshooting and resolving software defects
• Utilizing PRs as a path to teach and learn
• Shared ownership for team dynamics, processes and growth

Skills

Python

Django

REST APIs

PostgreSQL

SQL

Multi-tenant SaaS

Git/GitHub

PR-based delivery

Testing

AI in day-to-day work

AWS basics

Tools

Docker

GitHub Actions

Redis

Job description

Xplor is seeking a back-end platform software engineer to design and write code in a multi-tenant SaaS environment. The role is fully remote within the US, requiring collaboration across time zones and strong Python/Django expertise.

Responsibilities include hands-on development with Django, Ember, and PostgreSQL, leading design initiatives, and maintaining robust tests while embracing AI in daily work. The team emphasizes collaboration, quality, and scalable systems.