Defcon AI

Security Engineer

• Define and execute the ATO pathway, including responsibility allocation across government and contractor teams
• Author and maintain RMF documentation (SSP, SAP, SCTM, ConMon) in accordance with DoDI 8510.01 and NIST 800-53
• Coordinate with eMASS and Authorizing Officials on assessment and authorization activities
• Lead continuous monitoring and reauthorization efforts across the system lifecycle
• Define security requirements for cross-domain data flows (IL-5, IL-6, tactical edge)
• Evaluate and guide selection of DoD-approved cross-domain solutions
• Ensure classification-aware data segmentation is enforceable, auditable, and aligned with policy (e.g., NOFORN, REL_TO, ORCON)
• Review system architecture to ensure compliant handling of classified data flows
• Support secure operation across NIPR, SIPR, and higher classification environments
• Define authorization approaches (inheritance vs. standalone ATOs) across enclaves
• Ensure security posture scales without requiring fundamentally different architectures
• Serve as the authoritative internal resource for DoD security and RMF-related questions
• Advise on container security, RBAC, service mesh security, PKI/CAC integration, and secrets management
• Define expectations for security scanning, container hardening, and vulnerability management (without owning the pipeline)
• Evaluate new capabilities for security and authorization impacts prior to production deployment

Platform Security Lead

DevOps Engineer

• Design and scale hosting architecture in IL-5 environments with a path to IL-6
• Evaluate and select deployment strategies across government networks, GovCloud, and hybrid platforms
• Build a production environment that supports zero-downtime deployments and enterprise-scale growth
• Design, build, and operate a modern CI/CD pipeline with integrated testing, security scanning, and compliance validation
• Establish and manage development, staging, and production environments
• Ensure alignment with DoD requirements (e.g., Iron Bank, STIGs, ACAS/OpenSCAP, FIPS)
• Lead transition from incumbent contractor and government-furnished environments
• Inventory, assess, and rationalize existing services, dependencies, and infrastructure
• Simplify and consolidate architecture into a scalable, maintainable system
• Own release cadence from capability intake through production deployment
• Ensure deployment quality through monitoring, rollback readiness, and performance metrics (e.g., uptime, failure rates)
• Support continuous delivery aligned with government timelines and operational needs
• Partner with Platform Security and RMF leadership to align on ATO strategy
• Ensure the pipeline generates required artifacts for authorization and continuous compliance
• Embed security and compliance into the delivery lifecycle—not as a post-deployment step

DevSecOps Project Lead – Sr DevSecOps Engineer

Data Scientist

• This is a rare opportunity to define how data moves across the U.S. military’s logistics ecosystem.
• As the Architecture and Data Lead, you will own one of the most critical integration challenges in modern DoD software: enabling data to flow reliably across platforms, classification levels, and operational environments — and transforming it into usable, decision-ready information.
• You will design and build the integration platform that connects DEFCON AI’s software to the broader logistics C2 ecosystem. This includes developing adapters, common data models, translation layers, synchronization mechanisms, and classification-aware data architecture that ensure systems remain coherent from headquarters to the tactical edge.
• This is a senior role combining deep technical execution and system-level architecture leadership. You will define the architecture, build key components, and guide a team of engineers and partners to deliver production-ready integrations across disconnected environments, varied data models, and multi-enclave deployments.

Architecture – Data Lead

Full-stack Engineer

• Shape the product architecture end-to-end.
• Own the data foundation.
• Engineer for performance at scale.
• Drive technical direction through RFCs.
• Ship with product and design, not in a silo.
• Use AI as a force multiplier (responsibly).
• Hold the quality bar high.

Senior Full Stack Software Engineer

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