At Cordys Analytics, we’re building the infrastructure that enables scalable, reliable AI-driven cardiovascular diagnostics across European healthcare systems. Our platform helps clinicians detect structural and functional cardiac conditions directly from standard ECGs, including heart failure, myocardial infarction, and arrhythmias, enabling earlier and more accurate diagnosis at scale.

We’re looking for a strong all-round software engineer who enjoys solving problems across the stack and taking real ownership of systems in production. You’ll work on everything from backend services and frontend applications to cloud infrastructure, integrations, and AI deployment pipelines. This is not a role where you work on isolated tickets. You’ll help shape architecture decisions, build production systems end to end, and directly influence how the platform evolves.

We are a small engineering team with a high technical bar. The systems we build operate in a regulated medical environment, so reliability, traceability, and engineering quality are fundamental parts of how we work. If you enjoy combining strong software engineering with real-world clinical impact, we’d like to hear from you.

What you’ll work on

Design, build, test, and maintain production software across the full stack.
Develop backend systems and infrastructure using technologies such as Python, C#, Rust, Bazel, and Terraform.
Build frontend applications using TypeScript and React.
Help design and maintain the cloud infrastructure and deployment workflows supporting our AI platform.
Bring AI models and data pipelines into reliable, scalable production environments.
Build integrations with external systems, APIs, and healthcare platforms.
Contribute to engineering quality, validation, and documentation processes required for production-grade medical software.
Collaborate closely with AI engineers, clinicians, and product colleagues to bring new functionality into production.

Why engineers like working here

Real ownership over architecture and technical decisions.
Small engineering team with high autonomy and little bureaucracy.
Complex production systems and AI deployment workflows.
Engineering challenges around reliability, observability, scalability, and compliance.
Opportunity to work across the entire stack instead of a narrow silo.
Direct collaboration with AI researchers and clinicians.
Software that directly affects patient care in production environments.

What we’re looking for

Citizenship in an EU/EEA member state or possession of a valid Dutch work permit.
Currently based in the Netherlands or open to relocating.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
5+ years of professional software engineering experience.
Comfortable working across multiple layers of the stack.
Strong engineering mindset with a pragmatic, hands-on approach.
Interest in AI systems, distributed infrastructure, and data-intensive applications.
Ability to work independently and take ownership of technical decisions.

Nice to have

Experience with parts of our stack (Python, Rust, TypeScript/React, Terraform, cloud-native infrastructure).
Experience with AI/ML systems, MLOps, or production data pipelines.
Experience in health tech, medtech, or other regulated environments.
Familiarity with standards such as ISO 13485, IEC 62304, or ISO 27001.
Startup or scale-up experience.
Experience with DevOps, CI/CD, observability, and infrastructure management.

What we offer

Competitive salary.
Meaningful technical ownership and influence over architecture and product direction.
The opportunity to build next-generation AI infrastructure with direct clinical impact.
A highly motivated, experienced, and ambitious team.
Flexible working hours and part-time options (32–36 hours).
Hybrid/remote work possibilities.
Office space at UtrechtInc on the Utrecht Science Park.
25 vacation days plus public holidays.

Diversity & inclusion

We value diversity of background, experience, and perspective, and strongly encourage women and underrepresented groups in technology to apply.

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