We are seeking a highly skilled and experienced *Lead Dynamics 365 Engineer to spearhead the design, development, and deployment of full-stack enterprise applications integrating Microsoft Dynamics 365 (Customer Engagement and Finance & Operations) and the Power Platform. This senior role is critical to driving innovation and operational excellence by leveraging cutting-edge Azure cloud services, agentic AI workflows, and robust DevOps practices. The ideal candidate will lead cross-functional teams, architect scalable solutions, and ensure best practices in coding, security, and application lifecycle management within an Agile environment.
Responsibilities
- Design and build full-stack applications that integrate with Dynamics 365 (CE and/or F&O) and the broader Power Platform (Power Automate, Power Apps, Power BI).
- Develop and maintain Azure DevOps pipelines for CI/CD workflows supporting Dynamics and Power Platform deployments.
- Extend D365 functionality with custom development using TypeScript, JavaScript, and C# where appropriate.
- Collaborate with cross-functional teams to implement agentic AI workflows, incorporating services like Azure OpenAI, Data Factory, and Logic Apps.
- Work with Azure services (App Services, Functions, Key Vault, Cosmos DB, etc.) to build secure and scalable backend services.
- Integrate and automate workflows using Dataverse, Azure Data Lake, and Azure Databricks when applicable.
- Build reusable components and connectors across the Power Platform ecosystem.
- Ensure best practices for coding, security, and application lifecycle management (ALM).
Requirements
- 5+ years of experience in full-stack development, including front-end (React/Angular/TypeScript) and back-end (.NET/C#).
- Strong hands-on experience with Dynamics 365, Power Platform, and Azure DevOps Pipelines.
- Solid understanding of Dataverse, custom connectors, and solution packaging.
- Experience building enterprise-grade CI/CD pipelines with ADO and GitHub Actions.
- Comfortable working with REST APIs, integration tools, and middleware (e.g., Logic Apps, Service Bus).
- Ability to work independently and in Agile teams using Scrum or Kanban.
Nice-to-Have Skills
- Knowledge of agentic AI frameworks like Semantic Kernel, LangChain, or AutoGen.
- Familiarity with Azure AI Services, OpenAI on Azure, and prompt engineering.
- Experience with Azure Databricks, Data Factory, or Synapse Analytics.
- Previous exposure to Microsoft Fabric or other enterprise data platforms.
- Certification in Microsoft Power Platform or Dynamics 365.
Originally posted on Himalayas
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