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The Network Forensics Cybersecurity Analyst assists in incident response, analyzes network activities, assesses security concerns, and prepares reports for client engagement.

Monitor and analyze network activity for suspicious behavior, identify threats, document incidents, and provide reports on cyber defense practices.

Support incident response investigations and network analysis, assess security concerns, and provide recommendations to mitigate threats. Collaborate with teams and produce incident reports.

Perform advanced hardware reverse engineering and forensic analysis of OT/ICS and network-edge devices. Extract and analyze embedded malware, reverse engineer firmware, identify hardware implants/backdoors, develop SOPs, train analysts, support investigations, and document exploitation methodologies and defensive countermeasures.

The Incident Manager II will manage cybersecurity incidents, analyze alerts, coordinate information, and ensure effective incident response processes. Requires experience in incident management and cybersecurity operations.

Lead cloud operations for Bespin engagement kits: provision, scale, decommission, and secure cloud infrastructure; coordinate with stakeholders; manage incident response, reporting, licensing, and continuous improvement for mission-critical, 24/7 environments.

Design and architect secure, scalable cloud infrastructure for government engagement kits. Develop IaC templates and automation, implement security controls, customize kit configurations, collaborate on CI/CD, evaluate cloud services, conduct architecture reviews, and troubleshoot complex issues during operations.

Lead design and operation of a chip-off forensics lab, perform hardware-level forensic analysis and chip extraction, reverse-engineer PCBs and embedded systems, develop SOPs, procure lab equipment, train analysts, and provide technical consultation and documentation for government investigations.

Provide SETA support and technical advisement for design, integration, and sustainment of AI platforms in government environments. Assess cloud/hybrid platform readiness (Azure/AWS), containers, data pipelines, model hosting, identity/security, observability, and scalability. Produce architecture artifacts, briefings, and documentation; evaluate vendors; identify risks and mitigation; coordinate stakeholders; and assist transition from pilot to operational capability while educating teams on AI platform best practices.

The AI Engineer will design and develop LLM orchestration frameworks, optimize data pipelines, implement database solutions, and support networked AI tools deployment, contributing to security assessments as needed.