Senior Backend Engineer- CTI

Description:

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; it’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together. 

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.  

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers. 

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.