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Detection and Response Engineer

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Detection and Response Engineer in USA

  • New York, NY

Responsibilities

  • Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across infrastructure and production systems.
  • Improve detections using telemetry, threat intelligence, and incident lessons learned.
  • Improve visibility across cloud infrastructure, containers, identity systems, and production services.
  • Lead or participate in investigations across production infrastructure, cloud environments, and internal systems.
  • Build investigation playbooks and response automation that improve speed and consistency.
  • Drive post-incident improvements that eliminate future incident classes.
  • Build internal tooling for detection, investigation, and response workflows.
  • Use LLMs 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 make new systems observable and secure by default.
  • Help teams instrument services with telemetry needed for effective detection and response.
  • Drive security improvements that make the platform easier to defend over time.

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 from 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, including emerging threats involving AI-powered systems.
  • Strong written and verbal communication skills.
  • Preferred: experience building AI- or LLM-powered security tooling.
  • Preferred: experience with SIEM, SOAR, or EDR platforms.
  • Preferred: experience with Kubernetes security or large-scale cloud infrastructure.
  • Preferred: experience with threat hunting, malware analysis, or digital forensics.
  • Preferred: experience contributing to security operations in a high-growth engineering organization.

Salary: $150k - $270k/yr

Modal

Customers rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. Every era of computing came with new workloads that previous infrastructure couldn't se...

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