Lead AppSec Engineer

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Virtualitics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🎖️ Defense

🤖 Artificial Intelligence

☁️ SaaS

🔥 Funding within the last year

💰 $15M Debt Financing - Virtualitics on 2025-09

Defense • Artificial Intelligence • SaaS

Virtualitics is an AI-native software company that provides readiness and decision-support solutions purpose-built for defense organizations. Their flagship product, Virtualitics Iris, combines generative AI and specialized readiness AI agents to analyze fragmented readiness data and accelerate decisions across maintenance, materiel, personnel, supply chain, and mission modernization domains. Deployed across U. S. military services and grounded in research origins tied to Caltech and NASA JPL, Virtualitics emphasizes operational, mission-aware AI delivered as a platform to reduce analysis time, predict failures, and produce actionable courses of action for defense customers.

📋 Description

• Serve as the subject matter expert to establish secure design patterns for AI systems, defining strict boundaries for agent autonomy, tool invocation, and prompt management while conducting threat modeling for model misuse • Fulfill CMMC and IL5/IL6 compliance mandates by deploying a hybrid security architecture that pairs required deterministic validation tools (SAST, DAST, container scanning) with advanced AI reasoning engines • Transition from manual SLA tracking to overseeing autonomous workflows, utilizing tools like Claude Code to instantly diagnose, verify, and fix vulnerabilities locally before they reach human review or CI/CD pipelines • Leverage your deep understanding of Virtualitics’s software supply chain and delivery mechanisms to build clear review frameworks and mentor development teams on secure coding within AI-supported environments

🎯 Requirements

• Demonstrated track record of technical leadership in Application Security or Security Engineering, prioritizing continuous learning, and recent hands-on execution with AI/ML technologies • Deep understanding of application architecture and threat modeling, paired with the ability to evaluate code for complex business logic flaws, prompt injection, model inversion, and data leakage • Proficiency in AI-native development and agentic coding tools (e.g., Claude Code, Cursor), with the ability to design secure automated workflows, manage complex context configurations • Strong knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes), including the specific architectural patterns required for deploying AI securely in highly regulated cloud environments • Demonstrated ability to act as a trusted advisor to product managers and engineers, driving "secure-by-design" practices through technical credibility and hands-on workflow integration rather than rigid policy enforcement • Experience advancing beyond manual ticketing by integrating deterministic security platforms (e.g., Wiz, Snyk, GitHub Advanced Security) with AI models to improve vulnerability management

🏖️ Benefits

• fully paid medical, dental, and vision coverage for you and your dependents • unlimited PTO • flexible work arrangements • remote flexibility and hybrid options for team members based in the Los Angeles or Washington, DC areas