Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesMicroservices
About the role
- Lead architecture, design, and implementation of MedTech solutions using Cloud, Video, and Edge AI technologies
- Partner with cross-functional teams (Product, Research, and Engineering) to deliver scalable, secure, and compliant healthcare applications
- Drive innovation in connected health, video-based diagnostics, and AI at the edge
- Ensure adherence to healthcare compliance standards (HIPAA, FDA, MDR, etc.)
- Mentor and guide engineering teams, fostering technical excellence and best practices
- Evaluate new tools, technologies, and frameworks to enhance product capabilities
Requirements
- 12+ years of experience in software engineering with strong exposure to MedTech / Healthcare domain
- Proven expertise in Cloud platforms (AWS, Azure, or GCP)
- Strong knowledge of Video technologies (video streaming, processing, WebRTC, RTP/RTSP)
- Hands-on experience with Edge AI frameworks (TensorRT, OpenVINO, or similar)
- Proficiency in microservices, APIs, containerization (Docker, Kubernetes)
- Strong focus on data security, privacy, and compliance in healthcare applications
- Excellent leadership, communication, and problem-solving skills
- Preferred: Experience in IoMT (Internet of Medical Things) or connected devices
- Preferred: Background in medical imaging, diagnostics, or remote patient monitoring
- Preferred: Contributions to patents, publications, or open-source initiatives