Security Engineer, Public Sector
Scale AI•New York, NY; St. Louis, MO; Washington, DC
Full-time7-15
👁️ 3 views•📝 0 applications•Posted 7/29/2026•Expires 9/29/2026
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Job Description
We are seeking a highly technical Security Engineer to join our Public Sector Infrastructure & Security team as a security generalist. As a generalist you will ensure the security and integrity of our products and platform designing and shipping high-precision detections across cloud services and enterprise SaaS. You won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. Your ability to write production-quality code is just as important as your ability to triage an alert. You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps — but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation. You will: 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 in
Required Skills
Cloud servicesEnterprise SaaSVersion controlPeer reviewMeasurable performanceTelemetry pipelinesSchema designNormalizationEnrichmentQuality checksDigital incident investigationsDigital forensicsMalware analysisAlertingMessagingTicketing systemsIdentity and access patternsLoggingForensicsGuardrails
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