Nelly
Head of Engineering - Unified Data Platform(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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NUNucs AI
Platform Lead - Engineering Manager(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
Nejo KI-Zusammenfassung
Guiding engineering culture and managing backend, frontend, DevOps, QA teams for medical imaging AI tools in cancer care. 3+ years technical leadership with hands-on cloud, Kubernetes, and microservices experience required. Meaningful equity with significant upside.
Anforderungen
- 8+ years software engineering experience
- 3+ years technical lead or engineering management experience
- Strong hands-on experience with cloud platforms (GCP preferred)
- Strong hands-on experience with Kubernetes
- Strong hands-on experience with microservices
- Strong hands-on experience with distributed systems
- Deep experience with secure data infrastructure
- Deep experience with external system integration
- Proficiency in Python
- Proficiency in modern backend frameworks (FastAPI, Flask)
- Frontend experience
- Proven ability to lead engineering teams
- Proven ability to mentor engineering teams
- Proven ability to grow engineering teams
- Empathetic communication skills
- Ability to foster collaboration
- Experience in healthcare, MedTech, or regulated software environments (ISO 13485, FDA QSR)
- Familiarity with medical imaging pipelines (DICOM/PACS)
- Familiarity with clinical data workflows
- Experience scaling systems to production clinical deployment
- Background in product/platform engineering disciplines
- Experience aligning ML and engineering teams
- Ability to work in person at Berlin office
Aufgaben
- Shape and guide engineering culture
- Manage backend, frontend, DevOps, and QA engineers
- Support engineer career growth and autonomy
- Lead hiring initiatives
- Define new engineering roles
- Conduct structured interviews
- Build a high-performing engineering team
- Set clear team expectations
- Run effective development sprints
- Remove team blockers
- Oversee core platform architecture, delivery, and reliability
- Drive technical decisions on tooling, frameworks, and infrastructure
- Design and evolve scalable, secure DICOM/PACS architectures
- Design and evolve scalable, secure clinical data infrastructure
- Ensure clinical-grade reliability across all systems
- Align ML, product, and security team priorities
- Ensure seamless releases and clinical readiness
- Ensure reliable, on-time delivery of platform capabilities
- Align platform delivery with product and clinical milestones
- Facilitate technical collaboration across teams and partners
- Establish and maintain CI/CD pipelines
- Establish and maintain monitoring systems
- Establish and maintain incident response
- Establish and maintain operational excellence practices
- Manage platform reliability, security, and compliance
- Ensure compliance with SaMD and regulatory requirements
- Oversee DevOps and QA functions
- Ensure quality and security across the delivery pipeline
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- GCP
- Kubernetes
- microservices
- distributed systems
- Python
- FastAPI
- Flask
- ISO 13485
- FDA QSR
- DICOM
- PACS
- ML
Benefits
Sonstige Vorteile
- Meaningful equity
Startup-Atmosphäre
- Outsized influence
Flexibles Arbeiten
- Autonomy and flexibility
- Remote-first work
Attraktive Vergütung
- Equity upside
- Competitive equity package
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Nucs AI erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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NUNucs AI
Platform Lead - Engineering Manager(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
Nejo KI-Zusammenfassung
Guiding engineering culture and managing backend, frontend, DevOps, QA teams for medical imaging AI tools in cancer care. 3+ years technical leadership with hands-on cloud, Kubernetes, and microservices experience required. Meaningful equity with significant upside.
Anforderungen
- 8+ years software engineering experience
- 3+ years technical lead or engineering management experience
- Strong hands-on experience with cloud platforms (GCP preferred)
- Strong hands-on experience with Kubernetes
- Strong hands-on experience with microservices
- Strong hands-on experience with distributed systems
- Deep experience with secure data infrastructure
- Deep experience with external system integration
- Proficiency in Python
- Proficiency in modern backend frameworks (FastAPI, Flask)
- Frontend experience
- Proven ability to lead engineering teams
- Proven ability to mentor engineering teams
- Proven ability to grow engineering teams
- Empathetic communication skills
- Ability to foster collaboration
- Experience in healthcare, MedTech, or regulated software environments (ISO 13485, FDA QSR)
- Familiarity with medical imaging pipelines (DICOM/PACS)
- Familiarity with clinical data workflows
- Experience scaling systems to production clinical deployment
- Background in product/platform engineering disciplines
- Experience aligning ML and engineering teams
- Ability to work in person at Berlin office
Aufgaben
- Shape and guide engineering culture
- Manage backend, frontend, DevOps, and QA engineers
- Support engineer career growth and autonomy
- Lead hiring initiatives
- Define new engineering roles
- Conduct structured interviews
- Build a high-performing engineering team
- Set clear team expectations
- Run effective development sprints
- Remove team blockers
- Oversee core platform architecture, delivery, and reliability
- Drive technical decisions on tooling, frameworks, and infrastructure
- Design and evolve scalable, secure DICOM/PACS architectures
- Design and evolve scalable, secure clinical data infrastructure
- Ensure clinical-grade reliability across all systems
- Align ML, product, and security team priorities
- Ensure seamless releases and clinical readiness
- Ensure reliable, on-time delivery of platform capabilities
- Align platform delivery with product and clinical milestones
- Facilitate technical collaboration across teams and partners
- Establish and maintain CI/CD pipelines
- Establish and maintain monitoring systems
- Establish and maintain incident response
- Establish and maintain operational excellence practices
- Manage platform reliability, security, and compliance
- Ensure compliance with SaMD and regulatory requirements
- Oversee DevOps and QA functions
- Ensure quality and security across the delivery pipeline
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- GCP
- Kubernetes
- microservices
- distributed systems
- Python
- FastAPI
- Flask
- ISO 13485
- FDA QSR
- DICOM
- PACS
- ML
Benefits
Sonstige Vorteile
- Meaningful equity
Startup-Atmosphäre
- Outsized influence
Flexibles Arbeiten
- Autonomy and flexibility
- Remote-first work
Attraktive Vergütung
- Equity upside
- Competitive equity package
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Nucs AI erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Nucs AI
Branche
Healthcare
Beschreibung
Nucs AI is an innovative MedTech startup, transforming the clinical management of prostate cancer through cutting-edge AI-powered software solutions.
Noch nicht perfekt?
- Nelly
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Vollzeitmit HomeofficeSeniorBerlin - Recare Deutschland GmbH
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