Remote Threat Detection Engineer

Sequester

United States

Remote

USD 100,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Remote-friendly hiring
Async-first collaboration across time/

Job summary

Sequester is seeking a security engineer to build the alerting layer for a privacy-first encrypted vault product that stores personal photos and videos. You will translate telemetry from cloud, application, and identity sources into high-fidelity detections that wake responders only when something meaningful happens.

The role emphasizes reducing noise and supporting SOC analysts who consume the rules, with remote-friendly collaboration across time zones and a strong focus on practical,

Qualifications

  • Hands-on experience in detection engineering or threat hunting with SIEM/SOAR platforms.
  • Working knowledge of at least one query language such as KQL, SPL, or SQL, plus a scripting language.
  • Familiarity with common SaaS attack paths including OAuth abuse, API key misuse, and storage misconfigurations.
  • A collaborative approach to working with the analysts who consume your detections daily.

Responsibilities

  • Author, tune, and maintain detection logic across cloud, application, and identity log pipelines
  • Track precision and recall over time and iterate on rules based on analyst feedback
  • Ingest and operationalize threat intelligence feeds covering credential abuse and cloud-targeted attack patterns
  • Build enrichment automations such as geolocation, ASN, and user context so triage is faster and more accurate
  • Maintain detection coverage maps tied to MITRE ATT&CK techniques or an internal threat model

Skills

Threat hunting
Detection engineering
Collaborative teamwork
Scripting basics

Tools

SIEM/SOAR platforms
KQL
SPL
SQL

Job description

Sequester is seeking a security engineer to build the alerting layer for a privacy-first encrypted vault product that stores personal photos and videos. You will translate telemetry from cloud, application, and identity sources into high-fidelity detections that wake responders only when something meaningful happens.

The role emphasizes reducing noise and supporting SOC analysts who consume the rules, with remote-friendly collaboration across time zones and a strong focus on practical,

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