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.

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. 

•  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 frameworks.
• Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
• Create developer tooling and experiences that make the platform usable for other engineers building on top of it. 

• 5+ years of backend development experience with Python. 
• Experience building and operating data pipelines, data lakes, or large-scale data infrastructure. 
• Experience with distributed systems and the challenges they bring (consistency, failure modes, debugging across services). 
• Familiarity with microservices architecture and tooling (Docker, Kubernetes). 
• Experience with NoSQL databases. 
• High independence - you thrive with autonomy and ownership in ambiguous environments. 

Advantages: 

• Experience building distributed systems.
• Data management at scale - ETL, data quality, governance.
• Experience in cybersecurity, threat intelligence, or related domains.
• Familiarity with AI/agentic application patterns.
• Experience with graph and NoSQL databases.
• - Startup or small-team experience.

If you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, we’d love to hear from you!