Backend Developer

CYGNUS MED PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

CYGNUS MED PTE. LTD. is seeking a skilled Backend Developer to join their engineering team. This role involves building intelligent surgical software tools for vascular procedures, collaborating closely with AI engineers and clinicians.

Responsibilities include developing backend systems, maintaining APIs, and ensuring system performance. Candidates should have a degree in Computer Science and experience in Python backend development.

The position is primarily based onsite near Buona Vista, Singapore.

Qualifications

• 1-3+ years of experience in backend development, preferably in Python.
• Familiarity with cloud services and data security in healthcare.
• Experience with AI or medical imaging pipelines is a plus.

Responsibilities

• Design, implement, and maintain scalable and secure backend systems.
• Develop and maintain RESTful APIs for communication between systems.
• Collaborate with AI engineers to deploy machine learning models.

Skills

Backend development

API design

Python

Database design

Problem-solving

Education

Bachelor's or Master’s degree in Computer Science

Tools

Docker

Kubernetes

Jenkins

AWS

GCP

Job description

About Us

Cygnus Med is the Singapore-based R&D center of Furui Medical Science, a publicly listed global medical technology group focused on early-stage diagnosis. Positioned at the crossroads of clinical medicine, medical imaging, and computational science, we are building the next generation of intelligent tools that empower physicians to make faster, more accurate decisions.

At Cygnus, we blend the agility of a startup with the stability and scale of an international enterprise. As part of a high-impact, cross-disciplinary team, your work will translate directly into innovations that improve patient outcomes around the world.

Role Overview

We are looking for a skilled and mission-driven Backend Developer to join our engineering team at Cygnus Med, where we are building intelligent surgical software tools to support vascular procedures. You will work closely with AI engineers, frontend developers, and clinicians to architect, implement, and maintain robust back-end systems that power real-time clinical decision-making.

This role is ideal for someone who thrives in a fast-paced, early-stage MedTech environment and is passionate about building secure, scalable, and high-impact systems that improve patient outcomes.

What You’ll Do

For our current project, you’ll help develop and deploy intelligent software tools that support vascular surgeons in assessing blood flow patterns and planning interventions. Your responsibilities will include:

• Design, implement, and maintain scalable and secure backend systems to support our clinical applications that primarily handles ultrasound videos.
• Develop and maintain RESTful APIs and services for communication between frontend, backend, and external hospital systems (EHR/EPIC).
• Build data pipelines and storage solutions for handling annotated medical imaging data (e.g., ultrasound video) in compliance with privacy and regulatory standards.
• Collaborate with AI and software engineers to deploy machine learning models into clinical workflows.
• Ensure performance, availability, and fault-tolerance of backend services in deployment environments.
• Participate in code reviews, documentation, and system architecture planning to support long-term scalability.
• Contribute to DevOps practices such as CI/CD, automated testing (Jenkins), containerization (Docker), orchestration (Kubernetes).

What We’re Looking For

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or related field.
• 1-3+ years of experience in backend development, preferably in Python (FastAPI, Flask, Django).
• Prior experience in designing, building, and deploying backend system for video sharing platform and/or streaming.
• Proficient in designing and maintaining scalable APIs and properly intricate backend systems, i.e., the pros and cons of monolith and microservice architecture.
• Able to design reliable database diagram with hands‑on experience on both SQL and NoSQL databases.
• Familiarity with extensive cloud services (e.g., S3, GCP, etc) from popular providers (e.g., AWS, GCP, Azure, Alibaba, etc).
• Familiarity with data security, encryption, and HIPAA/GDPR compliance in healthcare environments is a strong advantage.
• Understanding of tools to optimize and monitor backend services, e.g., CDN, Load Balancer, SSL, Redis, RabbitMQ, Elasticsearch, Prometheus, Sentinel, Kafka, etc.
• Strong debugging and problem‑solving skills with attention to performance optimization and monitoring.
• Experience working with AI or medical imaging pipelines, i.e., MLOps, is a plus.

Location & Work Arrangement

This role is primarily based onsite at our office near Buona Vista, Singapore.

Application

Ready to build the future of intelligent vascular surgery? Please send your CV, portfolio (if available), and GitHub profile (if applicable) to [e-mail].

We look forward to seeing how your skills and creativity can contribute to building impactful healthcare software.