Senior Software Engineer

nucsai; Berlin; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Nucs AI in Berlin develops AI-driven medical imaging solutions to revolutionize prostate cancer care. We seek a Full Stack Engineer to build scalable, secure systems that support clinical workflows and safe handling of medical data.

You will design distributed services, implement robust backends with Python (Flask or FastAPI), manage deployments with Kubernetes, and create modern React frontends. Join a cross-disciplinary team advancing healthcare technology.

Qualifikationen

• 3+ years of full-stack engineering experience with shipped products.
• Experience architecting distributed systems and microservices.
• DevOps expertise with Kubernetes, CI/CD, and cloud platforms.
• Backend with Python using Flask or FastAPI.

Aufgaben

• Design and implement scalable microservices powering AI imaging tools.
• Build secure, reliable APIs and services processing medical data.
• Collaborate with clinicians and engineers to integrate HL7/FHIR.
• Develop frontend dashboards for clinical workflows.

Kenntnisse

Full-stack engineering

Distributed systems

Kubernetes

DevOps

Python (Flask/FastAPI)

React and TypeScript

SQL relational databases

Message queues

Cloud (GCP)

Communication skills

Tools

Kubernetes

RabbitMQ

FastAPI

Flask

React

TypeScript

SQL databases

CI/CD

GCP

Terraform / IaC

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.

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.