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.

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.

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

Skills & Qualifications

• BS in Computer Science, Engineering, or related field
• 5+ years of experience in DevSecOps, DevOps, or cloud security engineering
• Advanced AWS experience (EC2, VPC, S3, ECR, EKS, RDS, Route 53/DNS, IAM, SSO, Bedrock, CloudWatch, Secrets Manager)
• Strong experience with Terraform (Infrastructure as Code)
• Kubernetes expertise including RBAC, network policies, and pod security standards
• Experience designing and implementing secure CI/CD pipelines that scan code, build and sign hardened container images, generate SBOMs, publish to secure registries, and automate deployment into Kubernetes environments
• Experience with container hardening and secure registries (e.g., Iron Bank, Chainguard)
• Experience deploying containerized workloads into DoD environments (Platform One, Cloud One, Palantir, FedStart, etc.)
• Knowledge of NIST 800-53, NIST 800-171, and CMMC 2.0 controls
• Experience with MySQL and PostgreSQL database administration

What We Offer You

At Virtualitics, you’ll join a high-performance team of scientists, strategists, and servicemembers building AI that operates in the world’s most demanding environments. The problems we solve matter — and so does the opportunity to grow while solving them.

You’ll have meaningful ownership from day one, with the ability to accelerate your career alongside a company scaling rapidly in national security and critical infrastructure.

We offer highly competitive compensation, meaningful equity participation, and fully paid medical, dental, and vision coverage for you and your dependents. Our benefits also include unlimited PTO and flexible work arrangements, with remote flexibility and hybrid options for team members based in the Los Angeles or Washington, DC areas.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.