DevOps Lead

Reposted 14 Days Ago
Be an Early Applicant
Nijmegen
In-Office
Senior level
Artificial Intelligence • Healthtech
The Role
The DevOps Lead will design, implement, and maintain cloud CI/CD pipelines and production operations, ensuring system reliability, security, and scalability while improving workflows and mentoring team members.
Summary Generated by Built In

In the fight against breast cancer, every medical image is an opportunity: to unlock insight, to uncover risk, to embody health, to empower life. ScreenPoint’s Transpara Breast AI delivers unmatched precision for breast radiologists and helps define personalized care pathways for every woman we serve. Make your mark as part of The Breast AI Company. 

We’re looking for a DevOps Lead to own our cloud CI/CD pipelines, and production operations. You ensure that our infrastructure is reliable, secure, and scalable to support efficient software delivery. You work closely with our software engineering teams to streamline workflows and keep our production environment stable.

Your responsibilities

  • Lead and evolve our cloud deployment strategy and infrastructure.
  • Design, implement, and maintain DevOps infrastructure.
  • Oversee production operations, ensuring uptime, performance, and stability.
  • Implement and improve security best practices across infrastructure and deployments.
  • Scale our platforms to support product and customer growth.
  • Collaborate closely with Software Engineering, QA, and Infrastructure Engineers to streamline developer workflows and automation.
  • Drive incident response, post-incident reviews, and continuous improvement of operational processes.
  • Provide technical guidance and mentoring within the Infrastructure and DevOps domain.

Job requirements
You are someone who takes ownership, enjoys working closely with colleagues as a team, and is comfortable making pragmatic, well-reasoned decisions. You communicate clearly, think in terms of reliability and security, and like to automate wherever possible. You are motivated by building robust systems that quietly run in the background and enable others to do their best work. Furthermore, you have:

Successful track record in a DevOps, Cloud, or Infrastructure Engineering role.

  • Strong hands-on experience with a major cloud platform, preferably AWS.
  • Proven experience designing and maintaining CI/CD pipelines.
  • Experience with containerization and orchestration (e.g. Docker, Kubernetes).
  • Experience running and monitoring production systems, including logging, alerting, and incident response.
  • Familiarity with security best practices in cloud and production environments.
  • Experience leading technical initiatives or mentoring other engineers.

Preferred qualifications

Experience in a regulated or healthcare environment

About us
ScreenPoint Medical is a leading company that develops and markets breast image analysis and cutting edge machine learning applications and services. Our product Transpara improves breast cancer survival rates by detecting cancers earlier so that treatment can be more effective and less invasive.

Do you want to help us build an innovative solution to improve health worldwide? And do you want to be part of an ambitious and fast-growing team who help you develop your career further? Please apply using the application button.

Providing a Certificate of Conduct (VOG) or background check is part of our application procedure. Questions about the contents of the vacancy or the recruitment process at ScreenPoint Medical? Please send an email to [email protected].

Top Skills

AWS
Docker
Kubernetes
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The Company
HQ: Nijmegen
66 Employees
Year Founded: 2014

What We Do

ScreenPoint helps radiologists detect breast cancer confidently and faster. We develop and market image analysis and machine learning applications and services to improve early detection of breast cancer. Our flagship product - Transpara - has been evaluated in over 35+ peer-reviewed publications and has demonstrated consistent results, regardless of patient age, breast density, or ethnicity. Transpara uses the latest developments in machine learning such as Deep Learning and is trained with very large well curated databases of screening mammograms. Research and development at ScreenPoint is aimed at improving performance to the level of expert radiologists and beyond.

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