Aevex Aerospace
Sr. Manager - Cybersecurity
Tampa, Florida, United States +1 · Remote · Manager · Full-time · Posted Oct 29, 2026
- Location
- Tampa, Florida, United States
Remote - Experience
- 8+ years in cybersecurity engineering, infrastructure security, or enterprise IT security; also requires experience leading cybersecurity or closely related technical teams within aerospace, defense, or the Defense Industrial Base.
- Education
- Bachelor’s degree in cybersecurity, computer science, engineering, or a related field, or equivalent practical experience.
About the job
Leads cybersecurity strategy, teams, and technical operations across enterprise IT, defense programs, engineering environments, software delivery pathways, and self-hosted AI solutions.
What you'll do
- Lead and develop cybersecurity teams while directing security architecture, operations, incident response, vulnerability management, and security roadmaps.
- Partner with Engineering and program teams to secure development environments, GitLab repositories, CI/CD pipelines, software supply chains, embedded systems, and airborne platforms.
- Oversee compliance and risk activities, including CMMC readiness, SOX IT controls, security evidence, audits, and corrective actions.
What they ask for
- Proven ability to lead and develop technical teams while remaining hands-on; strong security knowledge across cloud, infrastructure, identity, vulnerability management, and endpoints.
- Familiarity with defense cybersecurity requirements, RMF, and system assessment and authorization processes.
- Experience implementing and sustaining CMMC and NIST SP 800-171 controls, and supporting SOX IT general controls.
- U.S. citizenship and ability to obtain/maintain a DoD clearance.
Nice to have
- Relevant certifications such as CISSP, CISM, CCSP, or comparable technical credentials.
- Experience with Microsoft GCC High, Azure Government, unmanned aircraft, avionics, or other embedded defense platforms.
Tools
CrowdStrike, Zscaler, ThreatLocker, NinjaOne, Microsoft Intune, GitLab, AWS, Azure
AI focus
Partner with Engineering and IT to assess, deploy, and secure self-hosted AI solutions; establish requirements for hosting, model access, sensitive data, integrations, logging, and vulnerabilities; evaluate risks including model provenance, data exposure, and prompt injection.
Model-written summary · the original posting is authoritative