Full Stack Engineer (App Team)

About Twindo

Twindo is at the forefront of revolutionizing the remodeling, architecture, and interior design industry through cutting-edge AI and computer vision technology. With our LiDAR-enabled iPhone or iPad scans, we capture precise 3D representations of homes in minutes, providing interactive models with accurate-to-the-inch measurements. Our proprietary process then turns these scans into highly detailed, editable, as-built files in industry-standard formats. As a global virtual-first company, our team members are distributed worldwide.

What you’ll do

• Build and improve backend systems in Python and Django that power our iOS app and web portal.
• Design, implement, and evolve APIs with a strong focus on clarity, reliability, and maintainability.
• Work on real product problems: business logic, data modeling, permissions, integrations, sync behavior, and operational edge cases.
• Debug production issues across application code, background jobs, data flows, and client/backend interactions.
• Improve quality through thoughtful reviews, pragmatic testing, and better system boundaries.
• Contribute to web product work when useful, with backend development as the primary focus.

What we’re looking for

• Strong experience building and maintaining production systems with Python, Django, and Django REST Framework or similar tools.
• Strong API design instincts and experience supporting real client applications.
• Solid understanding of relational data modeling and experience with PostgreSQL. Redis experience is a plus.
• Good judgment around reliability, performance, testing, and maintainability.
• Confidence debugging backend behavior locally and in production.
• Clear written and spoken English, and a collaborative working style.
• Experience writing technical design docs or proposals.
• Comfort with modern agentic AI tooling and concepts like context engineering.

Nice to have

• Experience supporting mobile clients, especially iOS apps.
• Experience with web frontend technologies such as TypeScript and React.
• Experience with background processing systems such as Celery, RabbitMQ, or Kafka.
• Experience with cloud infrastructure such as AWS, GCP, or Azure.