Senior Full-Stack Engineer, Medical Imaging AI

Nucs AI, Inc.

United States

Remote

EUR 75,000 - 110,000

Full time

14 days+
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Job summary

Nucs AI in Germany is seeking a Full Stack Engineer to help build medical imaging platforms powering AI diagnostics. You will work at the intersection of healthcare and technology, designing secure, scalable systems that impact clinical workflows.

Join a team delivering modern frontend and backend solutions with Kubernetes, FastAPI, React, and HIPAA/GDPR-conscious data handling. You will contribute to production-grade pipelines and robust data architectures.

Qualifications

  • 3+ years of full-stack engineering with shipped products.
  • Strong distributed systems and microservices design experience.
  • DevOps with Kubernetes, containers, CI/CD, and GCP.
  • Backend in Python (Flask or FastAPI) and API design.
  • SQL relational data modeling for complex data.
  • Event-driven patterns using message queues.

Responsibilities

  • Build scalable microservices architectures on Kubernetes.
  • Develop event-driven systems with RabbitMQ for medical data.
  • Create robust FastAPI backends for imaging data.
  • Set up production CI/CD with testing and monitoring.
  • Design scalable SQL databases with indexing and caching.
  • Implement monitoring, logging, and alerting in clinical envs.
  • Integrate HL7/FHIR with internal and external systems.
  • Develop modern React frontends for clinical workflows.

Skills

Full-stack engineering
System design
Kubernetes
CI/CD
GCP
Python (Flask/FastAPI)
SQL relational data modeling
RabbitMQ / event-driven patterns
TypeScript & React

Tools

FastAPI
Flask
PostgreSQL
RabbitMQ
Kubernetes
React
TypeScript

Job description

Nucs AI in Germany is seeking a Full Stack Engineer to help build medical imaging platforms powering AI diagnostics. You will work at the intersection of healthcare and technology, designing secure, scalable systems that impact clinical workflows.

Join a team delivering modern frontend and backend solutions with Kubernetes, FastAPI, React, and HIPAA/GDPR-conscious data handling. You will contribute to production-grade pipelines and robust data architectures.

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