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.
Wraithwatch Security Engineers ensure our artificial intelligence engines can perceive and rapidly manipulate a wide variety of integrated cybersecurity tools, as well as optimize their autonomous reasoning and analysis on complex cybersecurity tasks. They'll also own Wraithwatch's internal corporate cybersecurity posture across our company endpoints, cloud environments, and build pipelines.
Responsibilities:
Plan and engineer the integration of a wide variety of cybersecurity and IT tools into Wraithwatch’s core artificial intelligence engine.
Ensure AI engine has access to common data models and function execution models across disparate sets of IT and security tools.
Provide cybersecurity subject matter expertise, oversight, and optimization into autonomous reasoning and analysis performed by Wraithwatch system.
Own Wraithwatch’s internal corporate cybersecurity posture across our company endpoints, cloud systems, build pipelines, and AI subsystems.
Basic Qualifications:
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.
4+ years of professional experience in software engineering and minimum 2+ years of experience in security engineering in a corporate / enterprise security environment. Overlapping experience is acceptable.
Development experience in any modern programming language, including but not limited to Python, Rust, or Go.
Preferred Qualifications:
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 contributing security improvements to complex systems or environments.
Demonstrated ability to deal with ambiguity and to learn new technologies quickly.
Eligibility and willingness to obtain a US Top Secret security clearance.
Additional Requirements:
Willingness to work extended hours and weekends as needed.