Senior Software Engineer

The Opportunity

Join our engineering team as a Full Stack Engineer and help build the next generation of medical imaging platforms. You'll work at the intersection of healthcare and technology, developing secure, scalable systems that directly impact patient care and clinical workflows.

You’ll design and implement robust distributed systems that power our AI diagnostic tools—architecting services that handle sensitive medical data reliably, scale gracefully under load, and integrate seamlessly with hospital infrastructure.

What You'll Build

• Scalable microservices architectures using Kubernetes for orchestration and deployment


• Event-driven systems with RabbitMQ for reliable asynchronous processing of medical data


• Robust FastAPI backends that process and serve medical imaging data at scale


• Production-grade CI/CD pipelines with comprehensive testing, monitoring, and rollback capabilities


• Scalable data architectures using SQL databases with smart indexing and caching strategies


• Monitoring, logging, and alerting systems that ensure reliability in clinical environments


• Seamless integrations between internal services and external healthcare systems (HL7, FHIR)


• Modern React frontends for clinical workflows and data management

What You Bring

• 3+ years of full-stack engineering experience with shipped products that real users depend on


• Strong system design skills with experience architecting distributed systems and microservices


• DevOps expertise with Kubernetes, containerization, CI/CD, and Google Cloud Platform


• Backend proficiency in Python with Flask or FastAPI for building reliable APIs and services


• Database expertise in SQL and relational data modeling for handling complex medical data


• Experience with message queues and event-driven architecture patterns


• Clear communication skills and a pragmatic approach to solving complex technical problems


• Frontend competency in TypeScript and React
  
• CEFR Level C1 or C2 certification in English, or equivalent demonstrable mastery of the language


• Strong academic background with a degree from a highly-ranked university

Bonus Points

• Experience in healthcare/medical software development


• Knowledge of regulatory requirements (GDPR, ISO 13485)


• Experience integrating ML/analytics into production workflows


• Strong security mindset with experience in threat modeling and compliance


• Familiarity with infrastructure-as-code tools (Terraform, Pulumi)


• Experience with WebGL, WebGPU, or medical imaging frameworks (Cornerstone3D, VTK.js)

Equal Opportunity

Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.