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 Software Engineer who thinks beyond their code — someone who takes ownership, challenges assumptions, and actively looks for better ways to build and scale systems. This role is ideal for an engineer with solid experience, but more importantly, someone who demonstrates a senior mindset: proactive, solution-oriented, and comfortable working across teams to deliver complex features end-to-end.
In this role, you will design, build, and maintain scalable, production-grade systems, working on cross-team features that span multiple services and domains. You’ll take ownership of features throughout their entire lifecycle — from idea and design to implementation, deployment, and monitoring. Along the way, you’ll help improve and maintain CI/CD pipelines and deployment processes, contribute to cloud-based infrastructure, and drive automation efforts to reduce manual work and increase reliability. You’ll also play an important role in ensuring high standards for testing, code quality, and maintainability, while collaborating closely with product, data, and other engineering teams.
Job requirements
You are a self-motivated individual with a high level of enthusiasm and initiative. You are well organized, efficient and able to work independently. Moreover, you have:
- ~3–6 years of software engineering experience
- Proven experience working on complex systems or cross-team projects
- Hands-on experience with CI/CD pipelines and deployment processes
- Familiarity with cloud environments (AWS, GCP, Azure, etc.)
- Strong understanding of testing strategies and code quality practices
Preferred qualifications:
- Experience with system design and architecture at scale
- Experience improving developer experience (DX), tooling, or workflows
- Background in automation, observability, or platform engineering
What matters most to us is mindset. We’re looking for someone who is proactive and doesn’t wait for problems to appear, but anticipates and solves them. You take ownership beyond your immediate tasks, focusing on solutions rather than obstacles. You’re curious and creative, willing to challenge the status quo and think outside the box. You’re comfortable collaborating across teams and domains, and you genuinely care about continuously improving systems, processes, and the way teams work together.
This role goes beyond simply executing tickets. You’ll be expected to influence how things are built, identify gaps and opportunities, and help shape both systems and processes in a meaningful way.
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].
Skills Required
- ~3-6 years of software engineering experience
- Proven experience working on complex systems or cross-team projects
- Hands-on experience with CI/CD pipelines and deployment processes
- Familiarity with cloud environments (AWS, GCP, Azure, etc.)
- Strong understanding of testing strategies and code quality practices
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.
