Senior Security Engineer - Threat Detection

Dallas · CA · USD 157,675-238,500 / year · 6+ years experience · Remote · Posted Sep 28, 2026

At a glance

Samsara is looking for a Senior Threat Detection Engineer for a hands-on engineering role to build and operate signals, pipelines, and tooling.
The Threat Detection team owns the detection platform end to end, including data pipelines, detection content, CI/CD, and AI-assisted tooling.
You will report to the Director of Threat Detection and Response and collaborate with various security and engineering teams.

Build, deploy, and continuously improve MITRE ATT&CK–aligned detections across cloud, endpoint, identity, email, and application telemetry.
Own the full detection lifecycle from hypothesis, data validation, and baselining through deployment, tuning, validation, and retirement.
Advance our detection-as-code platform through version control, peer review, automated testing, CI/CD, and improved pipeline reliability and observability.
Identify emerging threat surfaces and build integrations that strengthen data ingestion, enrichment, and coverage across internal and third-party systems.
Evaluate AI-powered security capabilities, including secure MCP integrations, threat hunting, anomaly detection, and response automation.
Turn threat intelligence into actionable detection and retrospective scanning.
Partner closely with Security Operations during investigations, incidents, table top exercises, detection maintenance, and code pairing.
Champion, role model, and embed Samsara’s cultural principles as we scale globally and across new offices.

6+ years in security engineering, detection engineering, or a related technology discipline.
Strong Python and SQL skills, with experience analyzing large datasets to build and validate detections.
Hands-on experience with detection-as-code, Git-based workflows, automated testing, and CI/CD deployment.
Deep experience with modern SIEM platforms, including data onboarding, advanced queries, dashboards, and threat intelligence enrichment.
Working knowledge of AWS, Linux, containers, and EDR.
Proven ability to build systems from scratch, lead projects independently, learn new technologies quickly, and communicate technical concepts clearly.

Experience with data orchestration platforms such as Airflow or Databricks.
Applied experience with LLMs, agentic frameworks, and MCP integrations, including their security risks and failure modes.
Experience with behavioral analytics, anomaly detection, feature engineering, and model evaluation.
Familiarity with risk-based alerting, ChatOps, distributed alerting, and attack simulation.
Additional experience with Go, Terraform, malware analysis, digital forensics, or FedRAMP environments.

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