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.Net AI Azure Developer Security Clearance

Job in Woodlawn, Prince George's County, Maryland, USA
Listing for: Zachary Piper Solutions, LLC
Part Time position
Listed on 2026-06-10
Job specializations:
  • Software Development
    Cloud Engineer - Software, Azure, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 170000 - 190000 USD Yearly USD 170000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: .Net AI Azure Developer with Security Clearance
Piper Companies is currently looking for an .Net AI Azure Developer to work for a government integrator based out of Woodlawn, MD. This role is hybrid, requiring the candidate to be onsite 2-3 days a week. Individuals must obtain a public trust before starting. Responsibilities for the .Net AI Azure Developer:
* Design, develop, and maintain robust, scalable applications using .NET and ASP.NET Core

* Implement and manage solutions on the Azure platform, including deployment, monitoring, and scaling of applications

* Integrate AI capabilities using Azure AI tools such as Azure Machine Learning and Cognitive Services

* Develop and secure RESTful APIs for seamless application integration

* Practice Dev Ops principles, utilizing Azure Dev Ops for CI/CD pipelines, version control (Git), and automated testing
Qualifications for the .Net AI Azure Developer:
* Bachelor's degree and 10+ years experience in the field preferred

* Deep expertise in C# and the .NET framework, including modern features

* Experience with Python or Node.js for application development, data processing, or specific AI tasks

* Experience with client-side technologies and modern front-end frameworks such as Angular or React

* Familiarity with core AI/Machine Learning concepts and hands-on experience using Azure Open AI APIs and tools

* Ability to obtain a Public Trust
Compensation for the .Net AI Azure Developer:
* Salary Range: $170,000-$190,000 (depending on experience)

* Comprehensive benefit package;
Cigna Medical, Cigna Dental, Vision, 401k w/ ADP, PTO, paid holidays, sick Leave as required by law
This job opens for applications on 4/20/26. Applications for this job will be accepted for at least 30 days from the posting date #LI-BM2 #LI-HYBRID C#, .NET, .NET Framework, .NET Core, ASP.NET, ASP.NET Core, MVC, Web APIs, RESTful APIs, API security, OAuth 2.0, OpenID Connect, JWT, Microservices, Monolithic Applications, Cloud-Native Applications, Azure, Microsoft Azure, Azure App Services, Azure Functions, Azure Logic Apps, Azure Storage, Blob Storage, Azure SQL Database, SQL Server, Postgre

SQL, Cosmos DB, No

SQL Databases, Relational Databases, Data Modeling, Database Design, Query Optimization, T-SQL, Indexing, Stored Procedures, Python, Node.js, JavaScript, Type Script, Angular, React, Front-End Development, Client-Side Frameworks, Single Page Applications, HTML5, CSS3, REST Integration, JSON, API Gateway, Azure API Management, Application Scaling, Load Balancing, High Availability, Fault Tolerance, Disaster Recovery, Azure Monitor, Application Insights, Logging, Telemetry, Observability, Dev Ops, Azure Dev Ops, CI/CD, Continuous Integration, Continuous Deployment, Pipelines, Git, Version Control, Branching Strategies, Pull Requests, Code Reviews, Automated Testing, Unit Testing, Integration Testing, Test Automation, Agile Methodologies, Scrum, Kanban, Sprint Planning, Backlog Grooming, Cross-Functional Teams, Feature Development, Software Lifecycle Management, Secure Coding Practices, Authentication, Authorization, Identity Management, Azure Active Directory, Infrastructure as Code, IaC, Bicep, ARM Templates, Resource Provisioning, Azure Resource Management, Configuration Management, Environment Management, Docker, Containers, Containerization, Kubernetes, AKS, Orchestration, Terraform, Cloud Automation, Build Automation, Release Management, Azure Machine Learning, Azure AI, Azure OpenAI, Azure Cognitive Services, Artificial Intelligence, Machine Learning, AI Integration, Model Training, Model Deployment, Inference Pipelines, Data Processing, Data Pipelines, ETL, Data Engineering, AI APIs, Large Language Models, Prompt Engineering, Commercial Software Development, Enterprise Applications, Scalability, Performance Optimization, Debugging, Troubleshooting, Secure APIs, Compliance, Monitoring, Alerting
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