Lead Automation Engineer- Medical Imaging

Merge medical imaging solutions, offered by Merative, combine intelligent, scalable imaging workflow tools with deep and broad expertise to help healthcare organizations improve their confidence in patient outcomes and optimize care delivery. This is a strategic individual-contributor role with no direct reports. The Lead Automation Developer owns the test automation strategy for the Imaging Suite portfolio — setting the technical direction, tooling, and measurement framework that determine how quality is engineered across our products, and driving the shift from manual verification to sustainable automated coverage — while remaining hands-on developing and reviewing automated tests. Influence is exercised through technical authority rather than line authority.

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 and   maintainability, and   integrate 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 and   recovered   release time.   Produce and   maintain   a 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 to   failure   triage and root cause   identification, and   extend the test harness with capabilities such as self-healing locators and intelligent test   selection .   Establish governance for AI-assisted test development, including validation of generated artifacts and the evidence standards   required   in a regulated environment.   Hands-On Development & Coordination   Design, develop, and   maintain   automated 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, and   prove out   new 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 methods   and of   functional, regression, performance, stress, and end-to-end testing.   Strong software development skills, with the judgement to design frameworks that   remain   maintainable 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,