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PinterestPinterestSan Francisco, CA

Security Software Engineer II, Detection and Response

Build and improve detection alerts, automation, logging pipelines, and internal tooling to identify and respond to security threats at Pinterest. Requires strong incident response, SIEM, threat hunting, and scripting skills in cloud environments, plus demonstrated responsible use of AI.

124k – 255k
Remote5+ YOESecurity Engineering

About the role

What you'll do

  • Build alerts and automation workflows to improve capabilities to detect and respond to external and internal security threats
  • Manage logging pipelines and infrastructure and onboard new logging sources to improve detection coverage
  • Develop and maintain internal tooling to expand and automate team detection and response capabilities
  • Respond to alerts generated from our tooling and run incidents as part of an on-call rotation
  • Collaborate with cross-team partners
  • Hunt for previously undetected threats in our environment
  • Leverage AI to streamline and enhance the efficiency, accuracy, and coverage of security engineering

What we’re looking for

  • Bachelor’s degree in Computer Science, Cybersecurity or a related field or equivalent experience
  • Strong knowledge of intrusion detection and incident response with an engineering focus in a modern cloud-first environment
  • Knowledge of the attacker lifecycle, common attack and detection techniques
  • Hands-on experience with writing SIEM queries for alerting, response, and threat hunting
  • Experience consuming threat intel and applying it to improve detection capabilities
  • Familiarity with using multiple sources of telemetry for threat investigations (e.g. EDR, Osquery, Firewall logs)
  • Understanding of networking technologies and/or network security, basic TCP/IP network fundamentals
  • Depth in ideally MacOS internals, or alternatively in Linux/UNIX or Windows internals, persistence mechanisms, privilege escalation techniques
  • Scripting or automation experience (e.g. Python, Go, Ruby) for tool development or integration
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g. testing, source-checking, data validation, peer review)
  • High integrity and ownership: protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Skills

SIEMEdrOsqueryPythonGoRubymacOSLinuxTCP/IPThreat IntelligenceIncident Response

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