Nelly
Head of Engineering - Unified Data Platform(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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NUNucs AI
Platform Lead - Engineering Manager(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- GCP
- Kubernetes
- microservices
- distributed systems
- Python
- FastAPI
- Flask
- ISO 13485
- FDA QSR
- DICOM
- PACS
- ML
Benefits
Other Benefits
- Meaningful equity
Startup Environment
- Outsized influence
Flexible Working
- Autonomy and flexibility
- Remote-first work
Competitive Pay
- Equity upside
- Competitive equity package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nucs AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- GCP
- Kubernetes
- microservices
- distributed systems
- Python
- FastAPI
- Flask
- ISO 13485
- FDA QSR
- DICOM
- PACS
- ML
Benefits
Other Benefits
- Meaningful equity
Startup Environment
- Outsized influence
Flexible Working
- Autonomy and flexibility
- Remote-first work
Competitive Pay
- Equity upside
- Competitive equity package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nucs AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Nucs AI
Industry
Healthcare
Description
Nucs AI is an innovative MedTech startup, transforming the clinical management of prostate cancer through cutting-edge AI-powered software solutions.
Not a perfect match?
- Nelly
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