.NET Technical architect

Overview

On Site
DOE
Contract - W2

Skills

Internet
FOCUS
Usability
Regulatory Compliance
Cyber Security
Collaboration
Software Architecture
Emerging Technologies
.NET
Caching
Authentication
Internet Security
UI
User Experience
Scalability
Conflict Resolution
Problem Solving
Communication
Artificial Intelligence
Cloud Computing
Microsoft Azure
Amazon Web Services
DevOps
Continuous Integration
Continuous Delivery
Microservices

Job Details

Job Summary We are seeking a highly skilled .NET Technical Architect with deep expertise in designing and building scalable, secure, and high-performance internet-facing applications. The ideal candidate will have a strong command of modern front-end and back-end technologies, caching strategies, CDN integration, authentication mechanisms, CMS platforms, and cybersecurity best practices. Knowledge of AI integration is a plus. Key Responsibilities Architect and design full-stack solutions for internet-facing applications using modern .NET technologies. Lead the development of front-end applications with a focus on performance, usability, and scalability. Implement caching strategies, CDN integration, and secure authentication mechanisms. Ensure compliance with cybersecurity standards and best practices. Collaborate with cross-functional teams to align architecture with business goals. Evaluate and integrate CMS platforms as needed for content-driven applications. Consider both front-end and back-end perspectives when designing application architecture. Stay current with emerging technologies, including AI, and assess their applicability to business needs. Required Qualifications Proven experience as a .NET Technical Architect or similar role. Strong proficiency in front-end technologies and frameworks. Deep understanding of caching, CDN, and authentication strategies. Experience with CMS platforms and internet security measures. Ability to architect solutions considering both UI/UX and backend scalability. Excellent problem-solving and communication skills. Familiarity with AI technologies and their integration into enterprise applications. Preferred Qualifications Experience with cloud platforms (e.g., Azure, AWS). Knowledge of DevOps practices and CI/CD pipelines. Exposure to microservices architecture and containerization. Education: Bachelors Degree
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