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Install, configure, and manage ESXi/VMware hosts, RHEL and Windows servers, and Linux/Windows workstations. Provide Tier 3-4 support for SecureView at local and remote DoD customer sites, develop test plans and technical documentation, and troubleshoot complex system issues.

Develop and integrate AI/ML capabilities for sensor-driven, edge-focused systems. Implement containerized components, build and optimize inference pipelines for constrained devices, support distributed networking and sensor fusion, contribute to documentation, testing, and program milestones across junior-to-senior engineer levels.

Lead and manage a team of software engineers and research scientists delivering DoD cyber-AI solutions. Oversee program execution, track milestones, ensure contractual and security compliance, support hiring and career development, contribute to proposals/whitepapers, coordinate with stakeholders, and drive process improvements and Agile practices.

The Senior System Administrator will manage IT systems' implementation, troubleshooting, and maintenance while overseeing daily operations, providing support, and optimizing system performance.

The Principal Systems Engineer leads systems engineering activities including design, integration, and maintenance of complex systems, ensuring they meet user requirements and operational needs. Responsibilities include requirements engineering, risk management, technical leadership, and supporting DoD acquisition processes.

Design, develop, debug, and test software for trusted systems in a Linux environment. Collaborate on architecture, perform code and design reviews, write technical documentation, mentor junior engineers, and estimate effort for complex tasks within an agile team.

Lead product vision and roadmap for cyber mission virtualization and containerization. Define backlog, collaborate with stakeholders (USCYBERCOM, NSA), coordinate Agile PI execution, design multi-platform solutions, and mentor teams to deliver secure, enterprise-grade virtualized/containerized capabilities.

Advise and support design, integration, and maturation of AI platform infrastructure for mission-focused environments. Evaluate cloud/hybrid architectures (Azure/AWS), containers, data pipelines, model hosting, security, and observability. Produce documentation, assess vendor offerings, identify risks, and guide transition from prototypes to operational capabilities while coordinating with stakeholders in secure government settings.

Provide SETA advisory support to government and technical teams to define AI product strategy, use cases, roadmaps, and success criteria. Align AI development with mission outcomes, track execution, shape requirements and backlogs, advise on adoption and risks, and produce briefings and product documentation to keep programs mission-focused and on schedule.

Develop, debug, and test software within a Linux-based environment; collaborate in an agile team on design, code reviews, documentation, and estimation. Contribute to trusted systems engineering under oversight of senior staff, supporting secure DoD-focused projects.