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Engineer and implement scalable virtualized environments leveraging hypervisors (KVM, VMware, Hyper-V), virtual machines, containers, and software-defined networking across hybrid, edge, and cloud infrastructures.
Implement and manage virtualization stacks including private cloud platforms, hypervisor clusters, and orchestration frameworks for large-scale, multi-tenant environments.
Develop automation and orchestration tooling for provisioning, snapshotting, and lifecycle management of virtualized assets using Infrastructure-as-Code and CI/CD pipelines.
Integrate advanced traffic simulation capabilities (burst, steady-state, geo-distributed, AI/ML-driven) to emulate realistic user and system behaviors within virtual ranges.
Build and maintain frameworks and tooling for user and NPC emulation across virtualized environments to enhance operational realism, including threat emulation and defensive toolsets for network monitoring, incident detection, and response.
Implement observability pipelines for performance monitoring, traffic replay, autoscaling validation, and centralized logging in production-grade virtual infrastructures.
Administer and secure hypervisor platforms and virtual networking components, ensuring isolation, resiliency, and compliance for mission-critical environments.
Manage network and server infrastructure including Active Directory, identity management systems, and virtualized security controls.
Integrate third-party virtualization and orchestration tools to improve fidelity and scalability of training environments.
Support exercise operations including setup, execution, troubleshooting, and real-time scenario management for White Cell operations.
Collaborate with technical working groups and stakeholders to validate and enhance virtualization strategies for cyber training environments.
Apply knowledge of OT systems (SCADA, ICS, PLCs, IoT/IIoT) within virtualized contexts for realistic emulation.
Virtualization & Hypervisors: VMware ESXi/vSphere, KVM/QEMU, Microsoft Hyper-V, Proxmox, OpenStack
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Virtual Infrastructure Management: VM lifecycle management, snapshotting, cloning, orchestration frameworks
Cloud & Containerization: Private cloud platforms, AWS, Azure, Kubernetes (K8s), Docker, Podman, hybrid and edge deployments
Networking & SDN: Virtual switches (vSwitch, vDS), software-defined networking, network segmentation, VPNs, dynamic Network-as-Code tools
Automation & IaC: Infrastructure-as-Code (Terraform, Ansible, Packer, Helm, Nomad ), CI/CD integration for infrastructure
Performance & Observability: Metrics collection, centralized logging, traffic replay, load simulation, autoscaling validation
Security in Virtualized Environments: Identity management, Active Directory (GPOs, tiered admin scripts), secure isolation of virtual ranges
Cyber Range Engineering: Virtualized cyber training environments, adversarial network simulation, AI/ML-driven traffic emulation
Traffic Simulation & User Emulation: Lariat, CMU GHOSTS, MITRE Caldera, Red Canary, Atomic Red Team, TRex, BreakingPoint, Locust, k6, custom Python/TypeScript scripts, AI-enabled agents
Compliance & Assurance: NIST 800-series, ISO 27001, FedRAMP, CUI-compliant controls
Monitoring & Control Interfaces: Custom dashboards for exercise operations, centralized scenario orchestration
Bachelor’s or Master’s degree in Cybersecurity, Computer Engineering, or related field.
5+ years of experience in cyber engineering, network operations, or cyber range development.
Top Secret security clearance.
Proficiency in virtualization, containerization, and cloud technologies.
Experience with offensive and defensive cybersecurity tools and frameworks.
Familiarity with AI/ML integration in cyber environments.
Strong scripting and automation skills (e.g., Python, Bash, PowerShell).
Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).
Knowledge of OT systems and protocols.
Security certifications (e.g., CISSP, CEH, OSCP) are a plus.
Competitive Hourly Pay
Benefits
Global training, logistics, and security for government agencies.
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Senior · 5+ years experience
Onsite
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