The role involves building infrastructure to support threat discovery capabilities. The engineer will integrate external data sources and develop automated detection systems to identify abusive behavior. Responsibilities include creating internal tooling to scale investigator impact and managing the full project lifecycle from proof-of-concept to production. The position requires developing data pipelines and maintaining rule infrastructure for threat intelligence. Additionally, the role involves establishing feedback loops with investigators to refine detection systems and improve accuracy.

Candidates must possess strong coding proficiency in Python and SQL for building detection logic and data pipelines. Familiarity with threat intelligence concepts such as IOCs, YARA rules, and threat correlation is required, along with experience in integrating external APIs. The role necessitates the ability to translate investigator needs into technical requirements and experience with data pipeline orchestration tools. A minimum of a bachelor's degree or an equivalent combination of education, training, and experience in a relevant field is required.