Full-stack Engineer

• Supporting Activities Cloud-Native SaaS Architecture Design
• Design and implement scalable, multi-tenant SaaS architectures using cloud-native services.
• Architect microservices-based systems optimized for medical imaging data processing and AI workloads.
• Design secure API-first services for seamless integration with clinical trial systems.
• Ensure platform scalability to support multiple concurrent clinical trials and imaging workflows.
• Lead the integration of AI/ML models for medical image analysis, including genAI, agentic ai, computer vision and deep learning algorithms.
• Design and implement systems for real-time and batch processing of medical imaging data (DICOM, NIfTI, etc.).
• Implement comprehensive audit trails, electronic signatures, and data integrity controls.
• Architect security frameworks including encryption at rest and in transit, role-based access control, and secure authentication.
• Design disaster recovery and business continuity solutions for critical clinical trial data.
• Design high-performance database architectures optimized for medical imaging metadata and AI model outputs.
• Optimize system performance for large medical imaging secure file processing and transfer.
• Mentor team members to foster their professional, technical, and domain growth and development.
• Drive adoption of emerging technologies in medical imaging, AI/ML, and cloud computing.

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