Wraithwatch was founded by alumni from SpaceX, Palantir, and Anduril to build the next generation of AI-powered cyber defense systems for the United States and its allies. We are deployed today to customers spanning aerospace, defense, manufacturing, and emerging technology.
Our core product, Wraithwatch Commander, is a continuously adaptive cyber defense platform utilizing generative artificial intelligence agents to autonomously model and construct a digital twin of an organization’s entire IT and cybersecurity environment and analyze it for weaknesses, misconfigurations, and chains of possible attack. Specialized offensive and defensive AI agents work together in a process of adversarial co-evolution in order to detect novel attack paths that exist in a customer network and rapidly develop correlative defense strategies. Users are able to visualize, manipulate, and command the system through an intuitive and futuristic interface.
Responsbilities
As a Software Engineer you will work with every component of Wraithwatch’s architecture to include ensuring autonomous and smooth construction of advanced digital twin models of networks, coordinating communication and signaling between backend AI engines and workers, building data pipelines between Wraithwatch and third party security products, and performing all manner of site reliability operations to ensure our customer deployments are resilient and maintain uptime.
Note that we are a seed stage startup with aggressive goals to disrupt the cybersecurity industry as we know it, and you will routinely work long hours and weekends as needed. The upside is an opportunity to build a product at the leading edge of AI and cyber defense with real national security and private sector impact.
Qualifications
Basic
Ability to obtain a Top Secret Security Clearance and routinely work onsite with federal government customers.
Bachelor's degree in computer science, engineering, or STEM discipline
5+ years experience building and scaling distributed systems or complex backend infrastructure in Python or similar high level language.
Proven ability to design systems that operate reliably at scale, especially in environments where high-throughput data processing are critical.
Experience with container orchestration (Kubernetes), cloud-native infrastructure (AWS, Azure) and DevOps practices (CI/CD, monitoring, observability).
Must be willing to work extended hours and weekends as needed as part of a fast moving seed stage startup.
Preferred
Demonstrated interest in (via professional or side projects) modern machine learning or artificial intelligence capabilities, especially emerging subsets of Generative AI such as agentic behavior, tool calling, knowledge graph integration, retrieval augmented generation, etc
Experience building enterprise-grade cybersecurity products