Role:
* Supporting the detection engineering lifecycle, including modelling, data onboarding, detection opportunity identification, detection development, detection deployment and testing/tuning.
Skills:
* Recent Detection Engineering experience of at least 2 years
* High degree of competency in KQL:
* Understanding the structure of KQL queries, where efficiencies can be gained, best practices and how to build detection logic
* Highly proficient in Splunk to at least Power User level
* Good understanding of Mitre Attack framework and experience of referencing and building content to the framework.
* Familiar with GitHub technologies and CI/CD practices.
* Good enterprise level understanding of Windows and Linux based operating systems, their management and any hardening or security controls.
**This role is inside IR35 and predominantly remote, although occasional onsite travel is required**