macOS / Container Security - Senior Security Research Engineer

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

What You Will Be Doing

• 
  
  Develop tailored detection analytics for endpoint macOS and Kubernetes / container environments. Validate rule functionality and minimize false positives through thorough reviews. Analyze multi-source telemetry to uncover detection opportunities and enhance clarity. Collaborate with peers to implement innovative detection methodologies and engage in community knowledge sharing.
  
  


• 
  
  Emulate various threat scenarios to thoroughly assess detection capabilities. Develop and refine detection rules based on the outcomes of these simulations. Evaluate existing protection mechanisms against simulated attacks and document your findings while recommending improvements for threat detection.
  
  


• 
  
  Collaborate with the engineering team to identify telemetry gaps in existing security measures. Design and implement enhancements that improve detection accuracy. Assess current telemetry data's gaps in identifying emerging threats and integrate advanced analytics to strengthen detection capabilities. Provide technical guidance on best practices for utilizing telemetry in security measures.
  
  


• 
  
  Write and publish insightful blogs that focus on detection strategies and methodologies. Contribute to open-source intelligence (OSINT) research, sharing valuable findings with the community. Develop and maintain a repository of security rules and detection content. Engage with the cybersecurity community to promote knowledge sharing and best practices, and collaborate with external partners to enhance resources and tools for threat detection.
  
  

What You Bring

• 
  
  Experience with detection rule development for macOS / Kubernetes / container environments
  
  


• 
  
  Proficiency in using Elastic Security features and tools
  
  


• 
  
  Created detection rules that reduced false positives. These rules also improved incident response performance and improved detection coverage
  
  


• 
  
  Published contributions to community detection content or security research
  
  


• 
  
  Innovated and shared novel approaches for telemetry analysis within security research communities
  
  


• 
  
  Achieved recognition or accolades for contributions to detection engineering or threat research initiatives
  
  


• 
  
  You possess the ability to comfortably rotate across projects, collaborate across functions and teams, and seamlessly adapt to evolving team structures
  
  


• 
  
  Proven ability to seamlessly transition between different projects, codebases, or scrum teams based on dynamic business priorities
  
  


• 
  
  You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication