Every nation has data. Few can protect it. Fewer still can act on it. Dream is the sovereign AI and national cyber-defense company for governments. We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign. This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world. We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign. The Dream Job We're building Dream's Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible. You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the Dream ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team. The Dream-Maker Responsibilities Build the tooling and infrastructure that enables AI agents to consume and reason over threat data. Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights. Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the Dream platform. Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why. Design and scale agent-based systems along with robust evaluation framework
