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Cordys Analytics

Software Engineer

Cordys Analytics

Software Engineer building production software across the full stack for AI-driven cardiovascular diagnostics. Collaborating with clinicians, AI engineers, and product teams in a regulated medical environment.

Posted 7/20/2026full-timeUtrecht • 🇳🇱 NetherlandsMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full stack software development, particularly in Python, TypeScript, and Rust, while effectively managing cloud infrastructure and AI systems. Proven ability to collaborate with cross-functional teams in regulated environments, ensuring high-quality production software.

Highest-signal resume keywords
Full Stack Software DevelopmentPython ProgrammingTypeScript/React DevelopmentAI/ML Systems ExperienceDevOps and CI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonTypeScriptRustReactTerraformBazelMLOpsData PipelinesCloud InfrastructureProduction Software Development
Soft Skills
Strong Engineering MindsetPragmatic ApproachIndependent WorkOwnership of Technical Decisions
Tools & Technologies
CI/CD ToolsObservability ToolsInfrastructure Management ToolsHealthcare PlatformsAPIs
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Software EngineeringISO 13485 FamiliarityIEC 62304 FamiliarityISO 27001 Familiarity
Industry Keywords
Health TechMedtechRegulated EnvironmentsStartup ExperienceScale-up Experience

Tech Stack

Tools & technologies
CloudNode.jsPythonReactRustTerraformTypeScript

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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.