Architecture & Design

• Define, design, and implement end-to-end technical architectures for enterprise-grade solutions.
• Architect scalable and secure cloud-native applications leveraging AWS, Azure, or GCP.
• Provide design guidance on 3D imaging applications, data processing, and visualization workflows.
• Establish standards for API design and integration, ensuring reusability, performance, and security.

Development & Implementation

• Guide development teams in implementing solutions using Python, .NET, and C#.
• Drive adoption of containerization (Docker, Kubernetes) for deployment and orchestration.
• Ensure efficient use of databases including PostgreSQL and MongoDB for structured and unstructured data.

Collaboration & Leadership

• Collaborate with business stakeholders to translate requirements into technical roadmaps.
• Provide mentorship and technical leadership to engineers and developers.
• Conduct code reviews, enforce best practices, and ensure compliance with architectural guidelines.

Quality & Performance

• Ensure system performance, reliability, and scalability through proper architectural decisions.
• Lead proof-of-concepts (POCs) and evaluate new tools/technologies for adoption.
• Oversee security, compliance, and data governance practices.

• Bachelor’s degree in information management, Computer Science, Data Science, or a related field.

• Proven experience as a Technical Architect or Solution Architect in complex, large-scale systems.
• Programming Languages: Python, .NET, C#
• Databases: PostgreSQL, MongoDB
• Cloud Platforms: AWS, Azure, or GCP
• API Design: REST, GraphQL, or gRPC
• Containerization: Docker (Kubernetes experience is a plus)
• Exposure to 3D imaging technologies, visualization frameworks, or computational graphics.
• Strong knowledge of microservices architecture and enterprise integration patterns.
• Excellent problem-solving, analytical, and communication skills.
• Ability to lead cross-functional teams and drive technology strategies.

• Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (Terraform/Ansible).
• Knowledge of AI/ML workflows in imaging and data analysis.
• Familiarity with Agile/Scrum methodologies.