> Markdown version of [/jobs/ext/3971433-staff-platform-backend-engineer-python-django](https://www.wearedevelopers.com/jobs/ext/3971433-staff-platform-backend-engineer-python-django). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Platform/Backend Engineer (Python/ Django) - **Company:** MTS MOOSE TECH SOLUTIONS L.L.C. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Software as a Service, Software Code Optimization, Continuous Delivery, Continuous Integration, DevOps, Django Web Framework, Monitoring of Systems, Python (Programming Language), Performance Tuning, Software Engineering, Scripting, Performance Testing, Backend, Containerization, Kubernetes, Information Technology, Docker - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-platform-backend-engineer-python-django-ca--a91df8a7-5f9d-488e-8732-ed085be40484 ## About the Role Software Engineering, Python Programming/Scripting Language, Django, Startup, Software as a Service (SaaS), Performance Tuning/Optimization, Continuous Deployment/Delivery, Continuous Integration, Computer Science, Engineering, * Education: Bachelor's degree in Computer Science, Engineering, or a related field. * Experience: + 8+ years of software engineering experience with strong proficiency in Python and Django. + Hands-on DevOps and containerization experience with AWS, Docker, and Kubernetes. + Proven experience working in start-up environments (VC funding, teams <200 employees). + Ability to balance responsibilities across Backend Engineering (80%) and DevOps/Platform tasks (20%). ## Description * Develop and implement backend features and integrations using Python and Django. * Design, build, and maintain CI/CD pipelines for efficient and reliable deployments. * Conduct performance testing and system optimization. * Enhance monitoring systems and ensure the health of Kubernetes clusters. * Participate in rotational on-call support for platform reliability.