System Architect

Systems Architect (Microsoft Azure Cloud Engineer/Specialist)

Goal Assess, modernize, migrate, convert, implement, and deploy LADBS legacy applications and application code bases in the Microsoft Azure environment, with a primary focus on .NET modernization, CI/CD, Azure App Services, Key Vault, monitoring, Azure AI integration, and cloud architecture.

Tasks

• Provide technical expertise in the design, modernization, migration, conversion, implementation, and deployment of LADBS applications and services within the Microsoft Azure environment.
• Assess existing legacy applications and code bases and develop recommendations and technical approaches for converting.NET Framework applications to modern.NET/.NET Core technologies.
• Migrate and deploy applications, services, and related components to Azure App Services and other appropriate Microsoft Azure cloud services.
• Design, implement, maintain, and improve CI/CD pipelines using Azure DevOps, GitHub Actions, or other approved Microsoft technologies to automate application builds, testing, and deployments.
• Utilize GitHub and GitHub Copilot to support software development, code analysis, code migration, troubleshooting, and application modernization activities.
• Troubleshoot, analyze, and resolve complex technical issues within C# and.NET application code bases.
• Implement secure application configuration and credential management using Azure Key Vault and other approved Microsoft Azure security services.
• Configure and support application monitoring, diagnostics, telemetry, logging, and performance analysis using Application Insights, Azure Monitor, and related Azure logging services.
• Evaluate and integrate Azure AI services and APIs into LADBS applications to support application modernization, automation, and enhanced business functionality.
• Evaluate and recommend appropriate Azure cloud resources and services, including Azure Storage and other services necessary to support application modernization and migration efforts.
• Provide technical expertise in cloud architecture, application security, scalability, reliability, performance, and production support.
• Develop and maintain technical documentation, deployment procedures, architectural diagrams, and other project documentation as needed.
• Provide knowledge transfer and technical guidance to LADBS staff to support the ongoing maintenance and administration of modernized applications and cloud-based services.
• Coordinate and effectively interact with LADBS application developers, infrastructure staff, technical teams, and other stakeholders.
• Provide updates on project status, technical challenges, risks, and recommendations.
• Provide production support in mission critical applications in accordance to skill set stated below
• Other tasks as identified by LADBS and consistent with the scope of this Task Order.

Performance specifications

• Microsoft Azure architecture, administration, and cloud services.
• Azure App Services and deployment of applications to the Azure cloud.
• CI/CD pipelines, DevOps automation, Azure DevOps, and GitHub Actions.
• Migration and conversion of legacy .NET Framework applications to modern.NET/.NET Core.
• C# and.NET application development, troubleshooting, and modernization.
• Azure Key Vault and secure application configuration and credential management.
• Azure Storage and related cloud services.
• GitHub and GitHub Copilot for software development, code analysis, migration, and troubleshooting.
• Azure AI services and API integration.
• Application monitoring, diagnostics, logging, security, scalability, reliability, and performance.
• Application modernization and cloud architecture.
• At least five (5) years of professional experience in software development, application modernization, cloud engineering, or closely related technical work.
• Microsoft Certified Professional (MCP) certification is required. In addition to the MCP certification, the candidate must possess at least one (1) of the following certifications: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600); Microsoft Certified: Power Platform Fundamentals PL-900); Microsoft Certified: Azure AI Fundamentals (AI-900); Microsoft Certified: DevOps Engineer Expert (AZ-400); or Microsoft Certified: Power BI Data Analyst Associate (PL-300).

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.