Depth in detection engineering: 10+ years in software, platform, or security engineering, including significant time building and operating detection or security capabilities at production scale.
Technical leadership as an individual contributor: Experience setting technical direction, leading complex multi-system initiatives, and raising the level of the engineers around you through design and code review, without managing people.
Software development expertise: Experience in a general-purpose programming language such as Python, Java, Kotlin, Scala, or JavaScript, used to build detection logic, tooling, and automation.
Detection platform ownership: Experience architecting a detections-as-code pipeline, detection platform, or production data pipeline that other engineers build on, rather than working within one someone else built.
AI-assisted engineering judgment: Experience applying generative AI, conversational AI, or AI agents to security engineering work, including cases where you concluded the AI-assisted approach was the wrong one.
Platform and cloud breadth: Experience with SIEM platforms such as Splunk, and with developing, securing, and monitoring applications in public cloud environments.