SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 141,600 - 212,400 / annual
Klaviyo is seeking a Senior Security Engineer to join its Detection & Response team. This is a hands-on engineering role spanning the full detection and response lifecycle—building detections, triaging alerts, leading investigations, responding to incidents, performing threat hunting, and developing tooling to automate recurring work. You will tackle complex, large-scale security challenges across Klaviyo's enterprise, cloud, and product environments, working alongside talented colleagues across multiple regions and time zones.
Key responsibilities include:
- Develop, test, and deploy high-fidelity rule-based and anomaly-based detections-as-code using engineering practices
- Detect and respond to cyber threats using security data lakes, SIEM, and cloud platforms
- Respond to alerts and drive end-to-end incident response investigations
- Perform digital forensic investigations, including evidence collection and analysis
- Automate and codify detection and response workflows and processes
- Build security tooling to drive automation across the D&R lifecycle
- Improve and maintain detection and response pipelines and underlying systems
- Collaborate with the Threat Intelligence team to identify and respond to sophisticated threats
- Develop AI-first security systems to automate detection and response operations
- Conduct threat hunts across corporate, cloud, and product environments
- Support data engineering workflows for core security data lake and SIEM platforms
- Participate in D&R on-call rotations
- Coach and mentor security engineers within the detection & response team
The role may require up to 10% travel for onboarding, team meetings, and industry events.
Requirements:
- 5+ years of hands-on security experience in modern cloud environments
- Experience triaging and responding to cyber threats
- Experience with large-scale log analysis, incident response, and/or digital forensics
- Experience with centralized security data lakes and SIEM solutions
- Hands-on experience writing detections-as-code
- Solid data querying skills (SQL, Splunk, or similar)
- Familiarity with large-scale data pipelines and data engineering techniques
- Proficiency in programming languages for automation and building (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 teams
- Engineering-first and AI-first approach to work
- Strong passion for continuous learning and staying updated on evolving technology
- Strong oral and written communication skills
- Team player with strong, self-managing work ethic
