Staff Cybersecurity Engineer

4 weeks ago


London, Greater London, United Kingdom Rippling Full time

Rippling is a unified workforce platform that streamlines HR and IT management for businesses. As a Staff Cybersecurity Engineer, you will be part of the Detection and Response Team (DART), responsible for building a world-class incident response function. Your role will involve navigating challenging security incidents, driving process improvement, and developing an open culture that learns from mistakes.

Responsibilities:

  • Respond to security events, triage, perform investigations, and communicate with stakeholders.
  • Contribute to improving processes, procedures, and technologies used for detection and response.
  • Develop and run tools to gather security telemetry data from cloud production systems.
  • Automate workflows and improve identification and response time for security events.
  • Build and optimize detection rules to prioritize alerts.
  • Develop runbooks and incident playbooks for new and existing detections.
  • Lead Threat hunting practices and suggest product and infrastructure signals to surface attacks.

Requirements:

  • 8+ years of experience as a security engineer in a cloud environment.
  • Prior experience leading complex investigations with multiple stakeholders.
  • Strong communication skills and experience communicating with internal and external stakeholders.
  • Expertise in AWS security controls and services.
  • Experience leveraging coding for automation, alert enrichment, and detections.
  • Knowledge of adversary tactics, techniques, and procedures (TTPs) and MITRE ATT&CK principles.
  • Hands-on experience with data analysis, modeling, and correlation at scale.
  • Operating systems internals and forensics experience for macOS, Windows, and Linux.
  • Domain experience managing and working with current SIEM and SOAR platforms.
  • Experience developing tools and automation using common DevOps toolsets and programming languages.
  • Understanding of malware functionality and persistence mechanisms.
  • Ability to analyze endpoint, network, and application logs for anomalous events.


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