Edge Computing Reference Architecture SME | Secret Clearance

Edge Computing Reference Architecture SME | Secret Clearance

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

As a Project Delivery Manager on the project, you will:

• Design and document technical reference architectures for edge computing in DDIL environments, including:
  Compute, storage, networking, and platform services;
  Data synchronization, consistency, and reconciliation patterns;
  Security, identity, and trust models suitable for disconnected operations
• Establish architectural principles that prioritize offline-first operation, local authority and autonomy, and eventual consistency and store-and-forward patterns
• Develop reusable architectural views, diagrams, and design artifacts suitable for enterprise and program-level adoption
• Analyze existing legacy IT systems (monolithic, client-server, centralized architectures) and define modernization pathways to edge-capable architectures and refactoring, re-platforming, or encapsulation strategies
• Translate operational and mission requirements into technical designs that function under prolonged network outages, high latency and low bandwidth, and intermittent or opportunistic connectivity
• Define architectural patterns for local data persistence and system-of-record behavior at the edge, deferred synchronization and conflict resolution, and graceful degradation and fail-safe operations
• Evaluate and recommend edge platforms and technologies, including lightweight container orchestration, edge data stores and object storage, and messaging and synchronization frameworks
• Provide guidance on Dev Sec Ops  pipelines and lifecycle management for edge-deployed systems
• Define security architectures that operate without continuous access to centralized identity or cloud services, including local authentication and authorization model, credential lifecycle management in disconnected environments, and data protection and encryption at rest and in transit
• Serve as a technical advisor to program and engineering teams
• Communicate complex architectural concepts clearly to both technical and non-technical audiences
• Support architecture reviews, technical interchange meetings, and design approvals

Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Active Secret security clearance required
• 8+ years of experience in systems, cloud or enterprise architecture
• Demonstrated experience with edge computing or disconnected operations
• Strong understanding of distributed systems, data consistency, and cloud-native architectures
• Ability to produce clear reference architecture artifacts

• Experience with edge-native AWS services (Green grass, Snow, Outposts, Wavelength, etc.)
• Experience with edge-native Azure services (IoT Edge, Stack Edge, Stack HCI, Arc, etc.)

Information for applicants with a need for accommodation:

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.