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Scale AIScale AI

Security Engineer, Public Sector

Security Engineer building high-precision detections, incident response automation, and telemetry pipelines for cloud and SaaS platforms in the Public Sector. Requires active Top Secret clearance, 5+ years in detection engineering or incident response, and production coding skills.

About the job

Responsibilities

  • Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.
  • Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.
  • Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.
  • Perform digital incident investigations to identify and contain potential security breaches.
  • Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.
  • Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.
  • Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization.
  • Utilize threat intelligence platforms to improve hunting, detection, and response workflows.
  • Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Requirements

  • Active Top Secret clearance (required; candidates without will not be considered).
  • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.
  • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code.
  • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.
  • Practical experience with SIEM, EDR, and SOAR tools.
  • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.
  • Familiarity with digital forensics tools and malware analysis techniques.
  • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.
  • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.
  • Strong communication skills, with the ability to translate complex security findings into clear business impact.

Nice-to-Haves

  • Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
  • Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA).
  • Experience building integrations or extending SIEM/EDR/SOAR platforms programmatically.

Skills

Node.js, TypeScript, Python, Kubernetes, SIEM, Edr, Soar, AWS, GCP, Azure, Threat Intelligence

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