Responsibilities

Automation Strategy & Technical Direction

• Own and evolve the test automation strategy for the Imaging Suite portfolio, including scope, architecture, and roadmap.

• Define the technical strategy for automation tooling — evaluating, selecting, and standardizing frameworks and harnesses, and building the case for adoption or replacement.

• Align product teams across the portfolio on common automation approaches, shared frameworks, and consistent quality practices.

• Set the standard for test design andmaintainability, andintegrate automated verification into CI/CD so quality signal arrives early and continuously.

Measurement, KPIs & Reporting

• Establish, track, and report measurable KPIs spanning quality, requirements and code coverage, test efficiency, and the replacement of manual testing with automated testing.

• Track suite health and effectiveness — flaky and false-failure rates, test maintenance burden, mean time to diagnose a failure, and defects caught by automation versus escaping to the field.

• Report regression cycle duration, time-to-feedback, and return on automation investment in displaced manual effort andrecoveredrelease time.

• Produce andmaintaina portfolio-level dashboard making coverage, trends, and gaps visible to engineering leadership, and use it to direct where automation is invested next.

AI-Enabled Automation

• Introduce and lead an AI strategy for automated test development — assisted authoring, generation from requirements, and accelerated migration of manual test cases.

• Apply AI-assisted techniques tofailuretriage and root causeidentification, andextend the test harness with capabilities such as self-healing locators and intelligent testselection.

• Establish governance for AI-assisted test development, including validation of generated artifacts and the evidence standardsrequiredin a regulated environment.

Hands-On Development & Coordination

• Design, develop, andmaintainautomated test cases, protocols, and the frameworks and harnesses that support them; review tests authored by other engineers.

• Verify software against functional requirements, user requirements, and design specifications; conduct ongoing regression and integration testing.

• Troubleshoot complex failures with development teams, report defects in the approved tracking tool, andprove outnew methods for automated verification and validation.

• Track automation work assignments across team members, ensure verification evidence meets regulatory traceability standards, and mentor more junior engineers.

Core Competencies

• Ability to define and drive a multi-team technical strategy and bring others along without line authority.

• Thorough understanding of Software Quality Assurance methodsand offunctional, regression, performance, stress, and end-to-end testing.

• Strong software development skills, with the judgement to design frameworks thatremainmaintainable at scale.

• Ability to define, instrument, and interpret engineering metrics, and present them credibly to a leadership audience.

• Ability to work within an Agile model, estimate testing effort from design and requirements documents, and prioritize under pressure.

• Strong attention to detail and commitment to product quality, including the discipline required for documentation in a regulated environment.

Technical Skills

• Deep hands-on experience with automation tools and practices — Playwright, Selenium,TestComplete,TestExecute, JMeter, or comparable frameworks.

• Strong programming skills in a language commonly used fortestautomation, such as JavaScript / TypeScript, Python, Java, or C#.

• Experience designing andmaintainingtest frameworks and harnesses, not only writing tests against them.

• Experience integrating automated test execution into CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps, and experience with API-level automation.

• Experience testing medical imaging systems such as PACS; familiarity with DICOM standards and radiology workflows.

• Familiarity with Windows or Linux environments and with defect tracking tools such as Jira.

• Experience using AI-assisted development and testing tools such as Microsoft Copilot, GitHub Copilot, and Claude.

Qualifications

Required Education:An undergraduate degree, college diploma, or equivalent experience in Computer Science, Software Engineering, ora relateddiscipline.

Experience:8+ years of related experience in software development, including significant experience with automated test tools, frameworks, and processes; experience setting technical direction across multiple teams; experience defining and reporting engineering quality metrics; experience developing software in a regulated environment (e.g., FDA, IEC 62304, ISO 13485) preferred; experience with medical imaging, PACS, or healthcare applications preferred.