DEFCON AI

AI

DevSecOpsProjectLead(SrDevSecOpsEngineer)

$165–225k ~AI est. McLean, Virginia, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“DevSecOps Project Lead (Sr DevSecOps Engineer) at DEFCON AI”

Industry & Context.

AI
Eligibility Requirements

Security clearance

Full Job Description

ABOUT DEFCON AI RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems. In today’s dynamically changing world, DEFCON AI’s technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions. About the Role This is a rare opportunity to build a production deployment pipeline for mission-critical DoD software from the ground up. As the DevSecOps Project Lead, you will own the end-to-end software delivery lifecycle—from code intake through secure, scalable production deployment. Your charter is simple but high-stakes: ensure that software can be deployed reliably, securely, and on mission timelines in DoD environments. You will design and operate the DevSecOps pipeline, define the hosting architecture, and integrate security and compliance directly into delivery. This role spans both modern commercial DevOps practices and the realities of DoD deployment (IL-5 today with a path to IL-6), requiring you to make critical decisions across government networks, cloud environments, and hybrid architectures. This is a senior role combining hands-on execution with system-level ownership. You will build key components directly while guiding the transition from an existing government-furnished environment to a scalable, long-term production system. Key Responsibilities Hosting Architecture Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases; Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabrica

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