Planettechnologies
Copilot Solutions Engineer
Washington, DC
Sponsorship not specifiedDetected 114 days ago
AzureRESTVoIPCommunication
About the role
- Planet Technologies, the Nation's leading Microsoft services provider to the public sector, is looking for a highly motivated individual to join our growing team as Copilot Solutions Engineer.
Requirements
- Working knowledge of federal security and compliance frameworks, identity, access management, and data governance
- Ability to communicate complex technical concepts to non-technical federal stakeholders
- Federal Agency Clearance Requirements may require up to a 10-year background investigation - US Citizenship (clearable) is required.
- Experience with Microsoft 365, Copilot, Copilot Studio, Azure Foundry, and the Power Platform, including a solid understanding of security, compliance, and data sovereignty considerations.5+ years' experience as a Solutions Engineer, Architect, or Technical Consultant with expertise in a Microsoft 365 environment
- Previous experience creating end user solutions that can convert to enterprise solutions
Nice to have
- Secret or higher clearance preferred, but not required
- Ability to work on site as needed in Washington DC
- Microsoft certifications (preferred but not required): M365 Enterprise Administrator
- M365 security, compliance, or identity certifications
- AI and/or Power Platform certifications
Skills
- Planet Technologies does not discriminate in employment opportunities, terms and conditions of employment, or practices.
- Salaries for Solutions Engineers at Planet Technologies range from $150,000 and $190,000.
Benefits
- Details about our benefits can be found here Planet Technologies Benefit Guide 2025-2026
Company info
- Visit www.go-planet.com to learn more about us.
Visa & Work Authorization
- Federal Agency Clearance Requirements may require up to a 10-year background investigation - US Citizenship (clearable) is required
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This listing is sourced directly from Planettechnologies's careers page and normalized into a canonical job model.