Cordys Analytics
Healthcare
Full-StackSoftwareEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Full-Stack Software Engineer at Cordys Analytics. Skills: Full stack development, Cloud infrastructure, AI deployment. Design production software. Build production software”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
EU/EEA citizenship or Dutch work permit, Bachelor's or Master's degree, 5+ years software engineering experience
Nice to Have
Experience with Python, Rust, TypeScript/React, Experience with Terraform, Experience with cloud-native infrastructure, Experience with AI/ML systems, Experience with MLOps, Experience with production data pipelines, Experience in health tech, Experience in medtech, Experience in regulated environments, Familiarity with ISO 13485, Familiarity with IEC 62304, Familiarity with ISO 27001, Startup experience, Scale-up experience, Experience with DevOps, Experience with CI/CD, Experience with observability, Experience with infrastructure management
What You'll Do.
Design production software
Build production software
Test production software
Maintain production software
Develop backend systems
Develop infrastructure
Build frontend applications
Design cloud infrastructure
Maintain cloud infrastructure
Maintain deployment workflows
Bring AI models to production
Bring data pipelines to production
Build integrations with external systems
Build integrations with APIs
Build integrations with healthcare platforms
Contribute to engineering quality
Contribute to validation processes
Contribute to documentation processes
Collaborate with AI engineers
Collaborate with clinicians
Collaborate with product colleagues
How You'll Work.
Team & Collaboration
Cross-functional teams; AI engineers; Clinicians; Product colleagues
Full 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, 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 lik
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