About this role
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What Is The Role :
As a Principal Threat Hunting and Emulation Engineer at Elastic, you are at the forefront of proactively defending Elastic’s products, services, and people. This is not a reactive role—you will lead structured, hypothesis-driven hunts across Elastic’s global environment to uncover threats that evade automated detection. You will design and execute adversary emulation exercises to stress-test our detection pipelines, validate coverage, and drive continuous improvement. You’ll partner deeply with Detection Engineering, Incident Response, and Threat Intelligence to ensure that what we hunt for translates directly into durable detections and hardened defenses.
You are a practitioner first. You think like an adversary, operate like an analyst, and build like an engineer. If combining structured threat hunting frameworks, AI-assisted analysis, and real-world adversary emulation in a best-in-class security environment excites you, we’d love to meet you!
What You Will Be Doing :
• Lead structured, hypothesis-driven threat hunting operations across Elastic’s cloud, SaaS, endpoint, and CI/CD environments using frameworks such as PEAK, TaHiTI, or equivalent.
• Develop and maintain a threat hunting program at scale. Defining hunt hypotheses based on threat intelligence, ATT&CK mappings, and environmental risk profiles.
• Design and execute adversary emulation exercises and purple team engagements to validate detection pipelines, identify coverage gaps, and simulate real-world threat actor TTPs.
• Build and maintain a threat emulation library of reusable attack simulations, leveraging tools such as Atomic Red Team, Caldera, Scythe, or custom-developed tooling.
• Leverage AI and machine learning capabilities to accelerate hypothesis generation, anomaly detection, and the analysis of large, complex datasets during hunts.
• Translate hunt findings into production-ready detections, collaborating closely with Detection Engineering to ensure durable coverage.
• Document and codify hunt methodologies, playbooks, and emulation plans so that findings are repeatable, reviewable, and transferable.
• Partner with Threat Intelligence to inform hunt hypotheses based on emerging adversary campaigns, newly disclosed vulnerabilities, and sector-specific threat profiles.
• Identify visibility