Principle Software Quality and Test Engineer, Medical Imaging

Lead design and implementation of comprehensive software quality architectures and test strategies for multi-tenant SaaS medical imaging platforms supporting clinical trials, including AI/ML validation and DICOM data processing.

Architect and oversee automated testing frameworks covering API, SDKs, performance, security, regulatory compliance, and cross-platform compatibility to ensure product safety and effectiveness.

Provide technical leadership by mentoring teams, driving adoption of modern quality engineering practices, and ensuring compliance with FDA, ISO, and other medical device regulatory standards.

Extensive experience in software quality engineering and test automation for medical imaging or healthcare technology, including expertise in regulated software validation (FDA, GxP, ISO 13485, IEC 62304).

Advanced knowledge of DICOM standard, medical imaging modalities testing (CT, MRI, X-Ray, PET, Ultrasound), and AI/ML testing methodologies specific to medical imaging.

Proficiency in cloud-native SaaS platform testing, automation development (Python, Java, or C#), CI/CD pipeline integration, and security testing frameworks.

Bachelor's Degree required; Master's or PhD preferred in Computer Science, Biomedical Engineering, Software Engineering, or related field. Work Experience Required: Not explicitly mentioned in the JD.

Technical leader with deep expertise in medical imaging software quality, capable of architecting scalable automated test frameworks for complex, regulated SaaS platforms.

Experienced in cross-functional collaboration and stakeholder management to align quality initiatives with business and regulatory requirements.

Experienced in AI/ML model validation and performance testing within medical imaging, with strong knowledge of cloud-native and containerized testing environments.