DotNet Application Architect

SMART TECH SKILLS LLC

3d•Remote

About The Position

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.

Requirements

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
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
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

Nice To Haves

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

Responsibilities

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
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
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
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
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
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
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
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