Senior Software Engineer

Nucs AI; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Nucs AI in Berlin is seeking a Full Stack Engineer to help build next-gen medical imaging platforms, spanning backend services and frontend interfaces. You will work at the intersection of healthcare and technology, designing secure, scalable systems that handle sensitive medical data and integrate with hospital workflows.

The role emphasizes distributed systems, Kubernetes, FastAPI, Python, SQL, and React, with opportunities to contribute across the stack and improve diagnostic tooling.

Qualifikationen

• 3+ years of full-stack engineering experience with shipped products.
• Strong system design skills for distributed microservices.
• Experience with Kubernetes, CI/CD, and cloud platforms.

Aufgaben

• Build scalable microservices architectures with Kubernetes.
• Implement event-driven data processing with RabbitMQ.
• Develop robust FastAPI backends for medical imaging data.
• Create and maintain CI/CD pipelines with testing and monitoring.
• Design scalable SQL data models and caching strategies.
• Ensure secure integration with HL7, FHIR and hospital systems.
• Build React frontends for clinical workflows.

Kenntnisse

Full-stack engineering

Distributed systems design

Kubernetes

RabbitMQ

FastAPI

Python

SQL/relational modeling

TypeScript/React

Tools

FastAPI

Python

React

Kubernetes

RabbitMQ

Jobbeschreibung

About Nucs AI

Nucs AI is revolutionizing prostate cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we're tackling one of medicine's most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.

About Nucs AI

Nucs AI is revolutionizing prostate cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we're tackling one of medicine's most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity. Our mission is to enhance diagnostic precision and expand access to expert-level prostate cancer screening, ultimately improving patient outcomes worldwide.

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

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)

Why This Role Matters

Your work will directly contribute to advancing cancer care technology. Every system you build, every optimization you make, and every integration you design helps medical professionals provide better care to patients facing one of life's most challenging diagnoses.

Interview Process

Phone Screening (10 minutes)

Brief discussion of your key work highlights and career achievements.

Technical Interview

You'll work through technical challenge(s), presenting solutions while explaining your problem-solving approach and reasoning.

Cultural Interview

Discuss team fit and ask questions about the role and company culture.