Senior Security Engineer - Detection and Response

Klaviyo Klaviyo · Enterprise · Boston, MA +2 · IT & Security

Senior Security Engineer role focused on building and maintaining secure, reliable, and scalable detection and response systems. The role involves developing AI-first security systems, automating detection and response, optimizing security logging data for ML models, and responding to security incidents. Requires strong programming skills (Python, Go) and experience with CI/CD and large-scale data pipelines.

What you'd actually do

  1. Build systems that facilitate security observability for detection and response
  2. Develop AI-first security systems to automate detection and response operations
  3. Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.
  4. Develop high-fidelity rule-based and/or ML-based detections as code
  5. Respond to security alerts, cyber threats, and security incidents

Skills

Required

  • 5+ years of experience in software, security, and/or data engineering
  • Automation-first and AI-first approach for all work performed
  • Experience with centralized logging, data lakes, and SIEM solutions
  • Familiarity with large-scale data pipelines and data engineering techniques
  • Proficient in programming languages to automate / build (e.g., Python, Go or similar)
  • Proven experience with git/GitHub and CI/CD automations
  • Familiarity with tactics, techniques, and procedures used by threat actors
  • Experience being part of detection and response or incident response on-call

Nice to have

  • Strong passion for continuous learning and staying updated on evolving technology
  • Strong oral and written communication skills
  • Team player with a strong, self-managing work ethic

What the JD emphasized

  • AI-first security systems
  • AI-first approach for all work performed
  • deployment of ML models

Other signals

  • Develop AI-first security systems to automate detection and response operations
  • Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.
  • Develop high-fidelity rule-based and/or ML-based detections as code
  • Automate and codify detection and response workflows and processes