Senior Security Engineer - Threat Intelligence & Detection Engineering (Hybrid - Seattle)

Job Description The Senior Security Engineer on the TIDE team is a hybrid practitioner who writes detection rules, hunts adversary activity across the data lake, and builds the automation that ties it all together. This role requires functional depth in at least two of the following domains: detection engineering, threat intelligence, threat hunting, security automation, investigation analysis, and incident response. This role reports to the Sr. Manager of Threat Intelligence & Detection Engineering and serves as a lead technical contributor on the TIDE team, with independent project horizons of up to 120 days. Responsibilities Detection Engineering Design, develop, and maintain high-fidelity detection rules in CrowdStrike NG-SIEM (LogScale/CQL) across endpoint, email, identity, network, and cloud domains Operationalize the full detection lifecycle: threat modeling, logic development, empirical testing, deployment, tuning, and retirement Build detection content aligned to MITRE ATT&CK, threat actor TTPs, and internal threat model priorities Translate threat intelligence findings, incident post-mortems, and hunt discoveries into durable detection logic Enforce detection engineering standards including taxonomy, quality criteria, and review processes Threat Intelligence Collect, analyze, and operationalize tactical and technical threat intelligence from open-source, commercial, and internal sources Produce actionable intelligence products including threat actor profiles, TTP summaries, and IOC packages that directly inform detection priorities and hunting hypotheses Monitor threat actor campaigns targeting retail and e-commerce environments across email, endpoint, identity, supply chain, and insider risk vectors Collaborate with CSIRT and SOC to enrich active investigations with adversary context Apply AI-assisted tooling to accelerate intelligence processing, IOC enrichment, and adversary research Threat Hunting Design and execute hypothesis-driven threat hunts across endpoint, email, identity, network, and cloud telemetry Apply structured hunting methodologies (MITRE ATT&CK-based, data-driven, indicator-based) to surface undetected adversary activity Document hunt outcomes—including negative results—and feed confirmed patterns back into the detection library Maintain visibility into coverage gaps and drive new hunt-to-detect cycles to close them SOC & Incident Response Support Provide technical escalation support for complex incidents involving identity compromise, endpoint intrusion, lateral movement, and data exfiltration Conduct targeted forensic and log-based analysis during active investigations, contributing to root cause determination and containment decisions Develop and maintain investigation runbooks and analyst guidance to improve SOC response fidelity Translate post-incident lessons learned into detection and hunting improvements Automation and Tooling Build and maintain automation that accelerates detection deployment, alert triage, case enrichment, and threat intel processing Develop integrations between SIEM, EDR, email security, SOAR, and threat intelligence platforms to reduce analyst toil Apply scripting (Python, PowerShell) to operationalize repetitive workflows including IOC ingest, log parsing, and detection validation Leverage AI and machine learning tools to improve detection quality, reduce false positive rates, and accelerate triage Collaboration and Mentorship Mentor less experienced team members through code review, knowledge transfer, and structured guidance Partner with SOC, IAM, Platform Engineering, Email Security, and Cloud teams to ensure telemetry quality and detection coverage Contribute to cross-functional initiatives including purple team exercises, tabletop scenarios, and platform migration readiness Required Qualifications 4+ years of professional experience in detection engineering, threat intelligence, SOC/IR, threat hunting, or security automation Demonstrated proficiency writing detection logic in at least one enterprise SIEM or XDR platform; CrowdStrike NG-SIEM (LogScale/CQL) experience strongly preferred Working knowledge of MITRE ATT&CK at the technique and sub-technique level; ability to map adversary behaviors to telemetry sources and detection logic Hands-on experience with EDR analysis, behavioral anomaly detection, and investigation of post-exploitation activity Hands-on experience with hypothesis-driven threat hunting; ability to document and execute an end-to-end hunt Scripting proficiency in Python and/or PowerShell for automation, log parsing, or investigative tooling Experience contributing to incident response for malware incidents, identity-based attacks, or insider threats Strong written communication skills; ability to produce clear, actionable documentation, detection rationale, and intelligence products Bachelor’s degree in Computer Science, Information Security, or related field, or equivalent professional experience Preferred Qualifications Familiarity with identity attack patterns including AiTM, MFA fatigue, session hijacking, token replay, and adversarial abuse of SSO and federated identity platforms Experience with enterprise email security platforms and email-based threat detection including phishing, BEC, and malicious delivery mechanisms Exposure to SOAR platforms and workflow automation (CrowdStrike Fusion or equivalent) Experience with threat intelligence platforms (MISP, ThreatConnect, Recorded Future) and structured intel formats (STIX/TAXII) Knowledge of detection-as-code practices, version control (Git), and CI/CD integration for detection deployment Experience with cloud security telemetry (Azure, AWS) and cloud-native attack detection Demonstrated use of AI tools to accelerate detection development, security operations, or threat research Intermediate or advanced certifications such as GIAC GCIA, GCIH, GCTI, GDAT, or equivalent Pay Range Details The pay r