About The Position

As a Principal Software Development Engineer in Test (SDET) at Clario, you will play a pivotal role in shaping the next generation of quality engineering across our modern clinical technology platform. You will lead the evolution of intelligent, scalable automation solutions that ensure our products are reliable, high‑performing, and built with quality embedded at every stage. Working closely with software engineers, AI specialists, and product leaders, you will enable faster delivery of life‑changing clinical innovations.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
  • 8+ years in software quality engineering, test automation, or related disciplines
  • Proven experience designing and leading automation strategies and scalable testing frameworks in distributed systems
  • Strong experience with BDD frameworks (Cucumber, SpecFlow, Gherkin) and solid understanding of TDD
  • Proficiency in C#, Java, Python, or TypeScript
  • Hands-on experience integrating automation into CI/CD pipelines and modern DevOps environments
  • Experience working within Agile Scrum and cross-functional engineering teams
  • Strong technical leadership skills and ability to influence engineering standards
  • Ability to work across multiple components of a complex platform architecture
  • Experience leveraging AI or intelligent automation for improved test coverage and efficiency
  • Based in Canada and able to work remotely

Nice To Haves

  • Experience with medical imaging platforms (DICOM, PACS) or complex visualization systems
  • Experience building automation for performance‑sensitive or high‑resolution UI applications
  • Experience working in regulated environments such as Clinical Trials, Healthcare, or Life Sciences
  • Experience collaborating with AI/ML engineers in product development settings

Responsibilities

  • Define and lead automation strategy across UI, API, integration, performance, and security layers
  • Architect and evolve scalable, reusable automation frameworks
  • Implement AI‑assisted testing to enhance coverage and improve defect detection
  • Integrate automated testing into CI/CD pipelines to support continuous quality validation
  • Establish quality standards, coverage metrics, and observability practices
  • Collaborate closely with software engineers, AI engineers, product teams, and quality engineers
  • Contribute to testing across multiple components within a large-scale clinical technology platform
  • Improve test reliability, execution speed, and automation maintainability
  • Ensure compliance with regulatory standards (e.g., GxP, FDA, 21 CFR Part 11)
  • Mentor engineers and elevate automation maturity across teams
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