Software Engineer

Cordys Analytics; Utrecht; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Office in UtrechtInc on the Utrecht Sc

Hybrid/Remote work possibilities

Flexible hours

Job summary

Cordys Analytics is hiring a strong all‑round software engineer to own and shape production systems across the full stack. You will work on backend services, frontend apps, and cloud infrastructure, with emphasis on reliable AI deployment pipelines and healthcare integration.

The role spans design, implementation, and deployment, collaborating with AI researchers and clinicians to deliver clinically impactful software.

Qualifications

• Bachelor's or Master’s degree in CS/Software Engineering/AI or related field.
• Comfortable working across multiple layers of the stack.
• Strong engineering mindset with pragmatic, hands-on approach.
• Interest in AI systems, distributed infrastructure, and data-intensive apps.
• Ability to work independently and take ownership of technical decisions.
• Nice to have: experience with Python, Rust, TypeScript/React, Terraform, cloud-native infra.
• Nice to have: AI/ML systems, MLOps, or production data pipelines.
• Nice to have: health tech or regulated environments.

Responsibilities

• Design, build, test, and maintain production software across the full stack.
• Develop backend systems and infrastructure using Python, TypeScript/Node, and Rust, plus Bazel and Terraform.
• Build frontend applications with TypeScript/React.
• Design and maintain cloud infrastructure and deployment workflows for 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 for production-grade medical software.
• Collaborate with AI engineers, clinicians, and product teams to deploy new functionality.

Skills

Full-stack development

Architecture ownership

Problem solving

Independent work

Education

Bachelor's/Master's in Computer Science/Software Engineering/AI

Tools

Python

TypeScript/React

Rust

Terraform

Bazel

Job description

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 (for signal processing and machine learning), Typescript/Node and Rust (for the backend), Bazel, and Terraform (for infrastructure as code).
• Build frontend applications using TypeScript/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.
• 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.