Staff Threat Detection Engineer

Chainalysis

$130K — $180K *
US-AnywhereRemote in United States
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in detection engineering, SOC, or incident response at scale
  • Expertise in building and tuning detections in SIEM, EDR, and log analytics
  • Advanced in writing complex detection queries like KQL, SPL, SQL
  • Experience with modern attacker TTPs across endpoints and cloud environments
  • Strong scripting skills in Python and Bash for automation

Responsibilities

  • Own the corporate threat detection strategy and roadmap
  • Design and maintain high-fidelity detection logic across various platforms
  • Lead hypothesis-driven threat hunting campaigns to reveal new TTPs
  • Conduct risk assessments for new technologies and product changes
  • Collaborate with Incident Response to enhance alert quality and triage automation
  • Mentor DaRE team and influence product teams to improve security measures

Benefits

  • Technical leadership opportunities
  • Mentorship and collaboration with cross-functional teams
  • Visibility into high-stakes digital forensics
  • Engagement with cutting-edge security technologies
  • Contribution to a resilient blockchain infrastructure
Full Job Description
The Detection and Response Engineering (DaRE) team protects Chainalysis corporate assets and manages internal incident response. We reduce risk by building systems that detect and contain malicious activity while performing high-stakes digital forensics. Our mission is to ensure that as blockchain adoption grows, our own infrastructure remains resilient against evolving threats.

As a Staff Threat Detection Engineer, you are the technical lead for our corporate threat detection strategy. You design high-fidelity detections, lead proactive threat hunting, and perform critical risk assessments for both corporate and product engineering functions. This is a high-profile role where you will act as a subject matter expert (SME) for threat modeling, guiding security best practices across all corporate functions.

In this role, you'll:
  • Lead Detection Strategy: Own the end-to-end roadmap for corporate threat detection, mapping coverage against frameworks like MITRE ATT&CK.
  • Engineeer High-Fidelity Detections: Design and maintain scalable detection logic across SIEM, EDR, and cloud logging platforms (AWS/GCP).
  • Conduct Threat Hunting: Plan and execute hypothesis-driven hunting campaigns to uncover novel TTPs and turn findings into durable controls.
  • Perform Risk Modeling: Lead threat assessments and design reviews for new technology on-boarding and product design changes.
  • Optimize Response: Partner with Incident Response to refine alert quality, automate triage playbooks, and reduce time-to-containment.
  • Mentor & Influence: Provide technical leadership and mentorship to the DaRE team while influencing product teams to improve visibility and remediate gaps.


We're looking for candidates who have:
  • 8+ years of experience in detection engineering, SOC, or incident response at scale.
  • Deep expertise in building and tuning detections within SIEM, EDR, and log analytics platforms.
  • Advanced proficiency in writing complex detection queries (e.g., KQL, SPL, SQL).
  • Demonstrated experience detecting modern attacker TTPs across endpoint, identity, and cloud environments.
  • Strong scripting skills (Python, Bash) for automation and enrichment.
  • Proven ability to lead cross-functional security initiatives with IT and Engineering stakeholders.


Nice to have experience:
  • Experience leading threat hunting in cloud-first or SaaS-heavy environments.
  • Familiarity with securing AI integrations and managing associated security risks.
  • Knowledge of blockchain ecosystems and threats specific to the Web3/Crypto space.
  • Prior experience in a Staff-level technical leadership or mentorship role.
  • Red teaming experience against web technologies
  • OSINT and investigations


Technologies we use:
  • SIEM, EDR, and Log Analytics platforms
  • AWS, GCP
  • Python, Bash
  • KQL, SPL, SQL
  • MITRE ATT&CK Framework


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