Senior Software Engineer – Full‑Stack, AI‑Driven Medical Imaging

About the role

Join Nucs AI’s engineering team to build next‑generation medical imaging platforms that directly improve cancer diagnostics. You will work at the intersection of healthcare and technology, creating secure, scalable systems for AI‑powered diagnostic tools.

Key responsibilities

• Design and implement micro‑services architectures using Kubernetes for orchestration and deployment.
• Develop event‑driven pipelines with RabbitMQ to process medical data asynchronously.
• Build robust FastAPI back‑ends and modern React front‑ends for clinical workflows.
• Create production‑grade CI/CD pipelines on Google Cloud Platform with monitoring, testing, and rollback capabilities.
• Integrate internal services with external healthcare standards such as HL7 and FHIR.

Required profile

• 3+ years of full‑stack engineering experience delivering shipped products.
• Strong system design skills for distributed systems and micro‑services.
• Hands‑on DevOps experience with Kubernetes, containerisation, and CI/CD.
• Excellent communication and pragmatic problem‑solving abilities.

Required skills

• Python (FastAPI/Flask)
• TypeScript and React
• Kubernetes and Docker
• RabbitMQ or similar message queues
• SQL databases and relational data modelling
• Google Cloud Platform
• CI/CD tools, Terraform or Pulumi
• WebGL/WebGPU or medical imaging libraries (Cornerstone3D, VTK.js)

What we offer

• Mission‑driven work that improves cancer patient outcomes.
• Early‑stage, equity‑rich environment with significant influence.
• Collaboration with world‑leading oncologists, physicians, and AI researchers.
• Remote‑first, flexible working model.
• Competitive equity package.