DotNet Application Architect

The Applications Architect is responsible for leading the design, development, modernization, integration, and support of enterprise .NET applications and critical business systems. This role serves as a senior technical leader and subject matter expert, providing architectural guidance, mentoring development teams, and delivering scalable, secure, and maintainable solutions. The position supports high-profile enterprise initiatives, application integrations, cloud modernization efforts, DevOps practices, and production support activities while ensuring alignment with organizational standards and long-term technology strategy. Key Responsibilities Enterprise Application Architecture & Development

• Design, develop, and maintain enterprise-level applications and integration solutions
• Provide architectural leadership for complex, mission-critical systems and enhancements
• Develop scalable and reusable application frameworks, components, and services
• Support .NET and .NET Core applications across the enterprise
• Design and implement robust n-tier application architectures
• Drive modernization initiatives for existing applications and platforms

System Integration & Technical Solutions

• Design and implement integrations across enterprise applications and external systems
• Develop custom APIs, web services, interfaces, and data exchange solutions
• Support multilingual application frameworks and enterprise communication platforms
• Ensure seamless integration between business-critical applications and databases
• Provide expertise regarding application interoperability and enterprise architecture

Technical Leadership & Architecture Governance

• Serve as a senior technical expert across multiple technologies and business domains
• Participate in architecture reviews, design reviews, and technical governance activities
• Conduct code reviews and enforce development standards and best practices
• Support technical change control initiatives including estimates, code refactoring, and solution reviews
• Evaluate emerging technologies and recommend adoption strategies

Cloud, DevOps & Automation

• Design and support Azure-based cloud-native application solutions
• Develop and maintain Azure DevOps pipelines, release automation, and build processes
• Manage branching, merging, source control strategies, and deployment workflows
• Implement continuous integration and continuous deployment (CI/CD) practices
• Support environment configuration and deployment automation across development, testing, and production

Production Support & Operational Excellence

• Support production deployments and troubleshoot complex deployment issues
• Resolve high-severity application and system issues
• Participate in system enhancement, maintenance, and operational support activities
• Provide root-cause analysis and remediation for business-critical incidents
• Maintain availability as a technical escalation resource

Data & Database Development

• Design, optimize, and support Oracle and SQL Server databases
• Perform SQL tuning and performance optimization activities
• Develop data access strategies and enterprise data integration solutions
• Support relational database modeling and data architecture initiatives

AI-Assisted Development & Innovation

• Utilize approved enterprise AI tools including GitHub Copilot Enterprise and Microsoft Copilot in accordance with organizational policies
• Incorporate AI-assisted development practices to improve productivity, code quality, testing, and documentation
• Review, validate, and refine AI-generated output to ensure quality, accuracy, security, and compliance
• Identify and mitigate risks related to AI-assisted software development
• Implement secure and responsible AI development practices aligned with enterprise governance standards

Mentorship & Collaboration

• Serve as an internal consultant, advocate, mentor, and technical leader
• Collaborate with business stakeholders, architects, developers, QA teams, and project managers
• Provide technical guidance to development teams and junior staff
• Support organizational change and continuous improvement initiatives

Senior / Architect Level (15 or more years of relevant experience), * Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field, or equivalent work experience

• 15 or more years of experience designing and developing enterprise applications using .NET technologies
• 15 or more years of experience with C#, ASP.NET, .NET Framework, and .NET Core/.NET 8
• 15 or more years of experience using Visual Studio and Microsoft development tools
• Extensive experience with Oracle and Microsoft SQL Server development and administration
• Strong object-oriented design and development experience
• Experience developing and supporting n-tier enterprise architectures
• Experience with Azure DevOps, source control, branching, and CI/CD pipelines
• Experience leading complex technology projects and serving in senior technical leadership roles
• Experience supporting production deployments and troubleshooting deployment issues
• Strong knowledge of Agile methodologies and Software Development Life Cycle practices
• Experience producing technical documentation and architecture artifacts

Preferred Qualifications

• Experience with Azure App Services and cloud-native application development
• Experience developing ASP.NET MVC and Razor Pages applications
• Experience with AngularJS, Bootstrap, jQuery, and responsive UI development
• Experience with NLog, iText, Redis, and Elasticsearch
• Experience with SonarQube, SonarCloud, and automated code quality tools
• Experience creating technical prototypes and wireframes
• Experience supporting large-scale government or public-sector systems
• Experience with enterprise multilingual application frameworks
• Experience with accessibility compliance standards and ADA/WCAG requirements

Generative AI & GitHub Copilot Requirements

• Experience using AI-assisted development tools such as GitHub Copilot Enterprise
• Ability to craft effective prompts for software development, testing, documentation, and analysis tasks
• Ability to critically review and validate AI-generated code and documentation
• Knowledge of AI lifecycle concepts and AI quality assurance practices
• Understanding of AI-related risks including hallucinations, security vulnerabilities, licensing concerns, and data leakage
• Experience performing peer reviews of AI-generated and developer-written code
• Knowledge of secure development practices including NIST, OWASP, and related standards
• Ability to ensure AI-generated output complies with organizational coding, security, and architectural standards

Core Skills & Attributes

• Expert-level application architecture and software engineering skills
• Strong leadership, mentoring, and technical decision-making capabilities
• Advanced problem-solving and troubleshooting abilities
• Strong understanding of enterprise application integration patterns
• Excellent written and verbal communication skills
• Ability to influence technical strategy and architectural direction
• Strong collaboration skills across business and technical teams
• Commitment to code quality, security, and operational excellence
• Ability to manage multiple priorities in complex enterprise environments
• Continuous learning mindset with focus on innovation and modernization
• Strong ownership, accountability, and professionalism
• Ability to effectively leverage modern AI-assisted development tools while maintaining human oversight and quality control

• Competitive salary