Detection and Response Engineer

Requirements

  • Experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus
  • Strong software engineering skills and experience building production systems
  • Experience investigating security incidents in cloud-native or distributed environments
  • Familiarity with modern cloud infrastructure, Kubernetes, Linux, and networking
  • Experience building detections using logs, telemetry, behavioral signals, or large-scale event data
  • Strong SQL skills for investigating security events and developing detections
  • Interest in applying AI and LLMs to detection, investigation, and response, and understanding emerging threats involving AI-powered systems
  • Strong written and verbal communication skills

Nice to Haves

  • Experience building AI- or LLM-powered security tooling
  • Experience with SIEM, SOAR, or EDR platforms
  • Experience with Kubernetes security or large-scale cloud infrastructure
  • Experience with threat hunting, malware analysis, or digital forensics
  • Experience contributing to security operations in a high-growth engineering organization

What You'll Be Doing

  • Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across infrastructure and production systems
  • Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents
  • Improve visibility across cloud infrastructure, containers, identity systems, and production services
  • Lead or participate in investigations spanning production infrastructure, cloud environments, and internal systems
  • Build playbooks and automation to reduce investigation time and improve response consistency
  • Drive post-incident improvements to eliminate entire classes of future incidents
  • Build internal tooling that enhances detection, investigation, and response workflows
  • Leverage large language models to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry
  • Improve the collection, quality, and usability of security telemetry across the platform
  • Partner with engineering teams to ensure new systems are observable and secure by default
  • Help teams instrument services with the telemetry needed for effective detection and response
  • Drive security improvements that make the platform easier to defend over time
AI Summary ✨

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