DevSecOps Engineer

About Virtualitics

Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission-critical challenges with AI. Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next.

By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness.

But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves. If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here. You must be authorized to work in the US without sponsorship with the ability to obtain a security clearance, which is issued by the U.S. government.

Active U.S. DoD Secret clearance (or higher) required

Responsibilities

• Deploy and support Virtualitics’ platform within DoD and commercial customer environments.
• Design, build, and maintain secure cloud and hybrid infrastructure.
• Implement and enforce security controls across CI/CD, Kubernetes, and cloud environments.
• Mitigate container and dependency vulnerabilities using automated scanning and remediation workflows.
• Build and improve automation for infrastructure provisioning, deployment, monitoring, and compliance.
• Support ATO processes and ongoing compliance efforts.
• Investigate and resolve infrastructure and deployment issues.
• Collaborate with Platform Engineers, AI Engineers, Data Scientists, and QA to ensure secure, scalable deployment architectures.