Wraithwatch was founded by security engineers 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 Fortune 500, US Federal Government, commercial nuclear, aerospace, defense, maritime, and other emerging technology companies. Our core product is a cyber defense platform utilizing generative artificial intelligence agents to autonomously model a digital twin of an organization's entire IT and cybersecurity environment and analyze it for weaknesses, misconfigurations, and chains of possible attack.

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.

Basic Qualifications

• 4+ years professional experience in building and deploying software or services as part of a corporate or enterprise security engineering team.

• Deep, hands-on understanding of the current landscape of cybersecurity tools (EDRs, device management, identity, SIEMs, SOARs, XDRs, etc) and experience configuring, tuning, or automating these systems via APIs.

• Experience implementing or assisting with the implementation of enterprise / corporate security controls such as anti-malware policies, identity and access controls, detection engineering, device management, or similar.

• Development experience in any modern programming language, including but not limited to Python, Rust, or Go.

Preferred Qualifications

• Interest in 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.

• Ability to deal with ambiguity and learn new technologies quickly.

Additional Requirements:

• Willingness to work extended hours and weekends as needed.