Sr. Software Engineer

TestDynamics is building medical imaging software that integrates AI insights into radiology workflows to augment clinical care. The Senior Software Engineer will develop and maintain robust, scalable backend and user-facing software components, contribute across the software lifecycle, and ensure product quality, security, and compliance in a regulated medical device environment.

Responsibilities:

• Design and implement effective backend services, secure communication protocols and interfaces, scalable data storage and retrieval mechanisms, and other software components
• Design and implement effective and desirable user-facing software components
• Contribute to deliverables throughout the software lifecycle including planning, risk assessment, design, implementation, testing, technical investigations, configuration management, project management, and documentation
• Ensure the quality, reliability, security, and predictability of software deliverables by following and continually improving best practices for software engineering and testing
• Use AI coding agents to accelerate implementation and UI development, reviewing and validating their output to ensure quality, security, and compliance
• Stay up-to-date with tools, innovations and professional knowledge relevant to the development of new features and functionality

Requirements:

• BSc or MSc degree in computer science, engineering, or equivalent experience
• 4-7 years of product-oriented software development experience
• Mastery of C# and the .NET ecosystem
• Experience with industry tools and methodologies such as agile development, CI/CD and test automation
• Skilled at directing AI coding agents (Claude, Copilot, ChatGPT, and similar) to update code and develop UI designs, with the judgment to review, validate, and refine AI-generated output for quality and security
• Ability to architect software for maintainability, scalability, and testability
• Accomplishments in delivering quality and timely software products
• Strong initiative, collaboration, and attention to detail and quality, whether working independently or in a team
• Forward-looking problem-solving and analytical skills
• Regulated industry and global R&D team environments
• Medical device connectivity and 3rd party integration (DICOM, HL7, REST API)
• SQL and NoSQL databases
• Cloud infrastructure and scalability (e.g., Azure, AWS, Docker, K8S)
• AD, SSO, and identity providers