20 beste Stellen als engineer google in münchen – aktuell auf Personalsuche

Senior Software Engineer
Nucs AI —München
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Systemdesign
- Bachelor
Direkt bewerben
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Speechify —München
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7 Tage
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Saviynt —München
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Munich Electrification —München
- Vollzeit
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Direkt bewerben
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Wemolo —München
- Vollzeit
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Tech Lead, Web Core Product & Chrome Extension - Munich, Germany
Speechify —München
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AvePoint —München
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Usercentrics —München
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- JavaScript
- APIs
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
(Senior) IT / System Administrator - Operations & Security (d/f/m)
Entrix —München
- 75.000 € – 90.000 € pro Jahr
- Vollzeit
- Windows
- Master
- Bachelor
Direkt bewerben
Junior Backend Developer
Qwello —München
- Vollzeit
- Hybrides Arbeiten
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- Englisch
Direkt bewerben

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Senior Software Engineer

Nucs AI
München

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Datenmodellierung
React
Kubernetes
DevOps
Systemdesign
Google Cloud Platform
Microservices
Bachelor
Datenpflege
JavaScript
Verteilte Systeme
Terraform
Softwareentwicklung
APIs
Medizinische Bildverarbeitung
Flask
TypeScript
Python
Analytik

Vollständige Stellenbeschreibung

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.

Direkt bewerben

Erweiterte Suche

engineer google Jobs in münchen

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Procurement (f/m/d)

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Senior Software Engineer (all genders)

Tech Lead, Web Core Product & Chrome Extension - Munich, Germany

Account Executive, Public Sector

Senior Research Scientist, Robotic Foundation Models

Staff Software Engineer

(Senior) IT / System Administrator - Operations & Security (d/f/m)

Junior Backend Developer

Ich möchte aktuelle Job-E-Mails für Stellen als engineer google in münchen erhalten

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