Power Platform Developer (Azure)

Hyertek•Washington Dc, WA

About The Position

HyerTek is building a talent pipeline for current and upcoming federal programs. The Power Platform Developer will design and build business applications, automations, and portals on Microsoft Power Platform for federal customers, extending solutions with Microsoft Azure services. The role owns solutions end to end, from requirements and design through development, testing, deployment, and production support, and works directly with customer stakeholders, analysts, and engineering teams. HyerTek welcomes candidates with Microsoft product, engineering, consulting, or partner experience. The role uses approved AI-assisted development tools to accelerate code, configuration, testing, and documentation; developers are expected to review and validate AI-generated output before production use. The position requires U.S. citizenship and the ability to obtain and maintain a Secret security clearance. An active Secret clearance is preferred. Candidates must be authorized to work in the United States without employment-based visa sponsorship. The anticipated annual salary range is $125,000–$161,000, with final compensation based on relevant experience, technical qualifications, certifications, clearance status, and contract requirements.

Requirements

At least 5 years of hands-on experience developing and deploying production solutions on Microsoft Power Platform.
Strong development experience with model-driven and canvas Power Apps, Power Automate, and Dataverse.
Experience developing Power Pages sites and/or PCF controls using TypeScript and React.
Hands-on experience with Microsoft Azure, including extending Power Platform solutions with Azure Functions, Logic Apps, API Management, or custom connectors.
Experience with Microsoft Entra ID authentication and securing Power Platform environments, data loss prevention (DLP) policies, and role-based access.
Proficiency in JavaScript/TypeScript.
Experience with application lifecycle management using Azure DevOps or GitHub, managed solutions, and deployment pipelines.
Demonstrated proficiency using AI-assisted development tools and the judgment to review and validate AI-generated output.
Ability to translate business requirements into maintainable technical solutions and communicate clearly with technical and non-technical stakeholders.
U.S. citizenship and ability to obtain and maintain a Secret security clearance.
Authorization to work in the United States without employment-based visa sponsorship now or in the future.

Nice To Haves

Working knowledge of C#/.NET.
Active Secret security clearance.
Experience delivering solutions in federal government or Microsoft government cloud environments (GCC, GCC High, or DoD).
Experience with Dynamics 365 Customer Engagement applications.
Experience with Copilot Studio, AI Builder, or Azure OpenAI integrations.
Experience with Power BI and Microsoft Fabric.
Familiarity with Section 508 accessibility requirements.
Microsoft certifications such as Power Platform Developer Associate (PL-400), Power Platform Solution Architect Expert (PL-600), or Azure Developer Associate (AZ-204).

Responsibilities

Design and build model-driven and canvas Power Apps on Dataverse to modernize customer business processes.
Develop Power Automate cloud flows for approvals, notifications, assignments, and data synchronization, including error handling and monitoring.
Build secure Power Pages sites using authentication, web roles, table permissions, forms, lists, and Liquid templates.
Develop reusable Power Apps Component Framework (PCF) controls using TypeScript and React.
Design Dataverse tables, relationships, business rules, and role-based security.
Extend Power Platform solutions with Azure services such as Azure Functions, Logic Apps, API Management, and custom connectors.
Manage application lifecycle using Azure DevOps or GitHub, Power Platform CLI, managed solutions, and deployment pipelines.
Support Power BI reporting and analytics, troubleshoot production issues, and produce technical documentation and user guidance.
Review and validate AI-generated output before it is used in production.
Own solutions from requirements and design through development, testing, deployment, and production support, working with customer stakeholders, analysts, and engineering teams.