Senior Lead Engineer

Position Overview We are seeking a skilled Software Engineer with expertise in containerization and virtualization to transform our existing standalone medical application into a modern, containerized solution. This role requires strong C++ and Visual C++ skills, combined with containerization expertise to improve deployment, scalability, and maintenance of our medical equipment software. Key Responsibilities Analyze the existing standalone medical equipment application built in VC++/C++ Design and implement containerization strategies using Docker or similar technologies Create virtualization solutions to ensure consistent performance across different environments Develop CI/CD pipelines for automated testing and deployment of containerized applications Optimize container performance for medical application workloads Document containerization processes and best practices Collaborate with development and operations teams to integrate containerized solutions Ensure compliance with medical software regulations (FDA, HIPAA, etc. ) in containerized environments Work Experience Required Skills Qualifications Bachelors degree in Computer Science, Software Engineering, or related field 3+ years of experience with C++ and Visual C++ development 2+ years of experience with Docker containerization or similar technologies Experience with container orchestration platforms (Kubernetes, Docker Swarm) Understanding of virtualization technologies (VMware, Hyper-V, etc. ) Knowledge of CI/CD pipelines and DevOps practices Familiarity with Windows and Linux operating systems Preferred Qualifications Experience in the medical device or clinical diagnostic software domain Knowledge of regulatory requirements for medical software (FDA 21 CFR Part 11, IEC 62304) Experience with cloud platforms (AWS, Azure, GCP) Understanding of microservices architecture Experience with legacy application modernization What Youll Be Doing Converting monolithic applications to containerized microservices Creating Docker images and container configurations optimized for medical equipment software Implementing virtualization solutions for testing and deployment Ensuring container security for sensitive medical data Developing strategies for container networking in medical equipment environments Optimizing container resource allocation for performance-critical diagnostic operations Collaborating with QA to ensure containerized applications meet quality standards