Full Stack Developer - Backend Focus

Overview

Job Title: Full Stack Developer (Backend / Python / Pose Models)
Company: 31 Green Ltd
Job Type: Full Time – Remote / Hybrid
Experience: 5+ years

31 Green is a fast-growing and innovative organization building the digital infrastructure that powers next-generation HealthTech solutions. We are committed to transforming health outcomes by combining advanced AI, deep learning, and real-time movement analysis. We are looking for a highly skilled Full Stack Developer with deep expertise in Python and Pose Estimation technologies to join our team.

The Full Stack Developer will play a key role in developing and scaling the backend architecture of a cutting-edge health application. This role requires strong proficiency in Python, deep learning frameworks, and backend deployment.

health technology, AI innovation, and building solutions that directly improve patient outcomes — we would love to hear from you!

Please send your CV, along with a Cover Letter to: zainab.zahra@31g.co.uk

To apply:

Requirements

work on real-time human movement analysis through AI Pose Estimation Models, contributing directly to patient care optimization.

• Develop and maintain backend systems using Python with Django/Flask/FastAPI.
• Implement Deep Learning and Computer Vision pipelines with TensorFlow/PyTorch.
• Integrate Pose Estimation models into production-grade environments.
• Manage and optimize databases including PostgreSQL, MongoDB, and Redis.
• Build and deploy applications using Docker and cloud platforms (AWS/GCP/Azure).
• Ensure full compliance with HIPAA/GDPR and secure handling of medical data.
• Collaborate with technical teams to optimize backend scalability and performance.
• Troubleshoot system issues and enhance system resiliency and automation.
• Prepare documentation and support best practices across development processes.

• Absolute mastery of Python with hands-on experience using Django/Flask/FastAPI.
• Proven experience with Deep Learning frameworks (TensorFlow/PyTorch).
• Strong understanding of Computer Vision and Pose Estimation Models.
• Proficiency with relational and non-relational databases (PostgreSQL, MongoDB, Redis).
• Skilled in Docker and deployment across AWS, GCP, or Azure.
• Knowledge of HIPAA/GDPR and security protocols for health data.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and time management abilities.

Preferred Experience:

• Previous experience working on HealthTech or MedTech platforms.
• Successful deployment of AI/ML models into production environments.
• Experience integrating medical movement datasets or biomechanical data.
• Familiarity with CI/CD tools, microservices, and distributed architecture.

How to Apply

If you are passionate