About the role
What will you do at Cyber Shell, LLC?
We are seeking an Azure Cloud Engineer to serve as the cloud subject matter expert for a federal agency's Azure subscriptions. This is a designated key position on our program. You will own cloud architecture, governance, security, and cost optimization; designing secure landing zones, embedding Zero Trust principles, and keeping cloud spend aligned to budget.
On a typical day you will:
- Analyze cloud spending, identify trends, and develop strategies to optimize and reduce costs using Azure Cost Management and Azure Advisor
- Create and maintain budgets for cloud services and forecast future costs based on trends and organizational growth
- Evaluate and select Azure services (e.g., Azure Kubernetes Service, Azure Functions, Azure Policy) to support enterprise workloads
- Design secure landing zones using Azure services and Azure Policy
- Implement Azure governance models including management groups, role-based access control (RBAC), and tagging strategies
- Collaborate with security operations to embed Zero Trust principles, identity governance, and threat protection into cloud designs
- Ensure compliance with federal mandates (FedRAMP, SP 800-53, EO 14028, CNSSI 1253) and internal security policies
- Architect hybrid solutions that integrate cloud-native services with on-prem systems
- Provide architectural oversight for cloud migration and modernization projects
- Work closely with DevOps, security, and infrastructure teams to ensure architectural consistency
- 7+ years of IT experience with 4+ years focused on Microsoft Azure engineering/architecture
- **Active Secret security clearance (or ability to obtain one) — required to support classified systems**
- Deep expertise in Azure governance: management groups, RBAC, Azure Policy, tagging, and landing zone design
- Experience with Azure cost management, budgeting, and forecasting
- Working knowledge of federal security frameworks: FedRAMP, SP 800-53, EO 14028, CNSSI 1253
- Experience designing hybrid cloud architectures integrating on-premises systems
- Experience with cloud deployment automation and infrastructure as code
- Strong collaboration skills across security, DevOps, and infrastructure teams
- U.S. citizenship required
- Available for on-site work in Washington, DC during standard hours
- Preferred: Microsoft Certified: Azure Solutions Architect Expert (AZ-305) or Azure Administrator (AZ-104); experience with Azure Government
We offer a comprehensive benefits package designed to support you and your family:
- Medical (HSA-qualified UnitedHealthcare plan), dental, and vision coverage; company pays 75% of employee premiums
- $100,000 company-paid life & AD&D insurance, with optional voluntary buy-up coverage for you and your family
- Short-term and long-term disability insurance, 100% company paid
- 401(k) with an automatic 3% company contribution; immediately vested, yours whether or not you contribute
- 11 paid federal holidays, 10 vacation days (growing to 20 with tenure), and 10 sick days per year
- Company-paid certification exams and renewals
- Tuition reimbursement up to $5,000 per year
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Platform engineering jobsCompare current openings and review what to look for in this role.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
AI Outcome Customer Engineer, Forward Deployed Engineering
Google · Atlanta, Georgia, United States
AI Solutions Engineer
Superior Essex · Sandy Springs, Georgia, United States
Analytics Sr Software Engineer (US Federal)
Workday · Reston, Virginia, United States
AI Evaluations Engineer, US Decision Intelligence
Apple · Cupertino, California, United States
Research Engineer, Responsible Frontier AI Research, DeepMind
Google · New York, New York, United States
Senior AI Support Engineer
University of Colorado Department of Emergency Medicine · Colorado Springs, Colorado, United States
Role information can change. Confirm current details on the original application page.