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:
Qualifications for the .Net AI Azure Developer:
Compensation for the .Net AI Azure Developer:
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
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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, PostgreSQL, Cosmos DB, NoSQL Databases, Relational Databases, Data Modeling, Database Design, Query Optimization, T-SQL, Indexing, Stored Procedures, Python, Node.js, JavaScript, TypeScript, 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, DevOps, Azure DevOps, 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