Base Salary
$164k - $342k/yr
Responsibilities
- Engineer, test, and deploy detection logic across cloud and enterprise environments using version control, peer review, and measurable performance metrics.
- Build and maintain incident-response automation, runbooks, and tooling to reduce containment timelines.
- Improve telemetry schemas, normalization, enrichment, and quality checks to reduce false positives and improve signal fidelity.
- Perform digital incident investigations, digital forensics, and malware analysis to identify breaches and understand attack methods.
- Integrate alerting with messaging and ticketing systems for fast, traceable response workflows.
- Partner with IT, security, and engineering teams to strengthen identity and access patterns, logging, forensics, and scalable security guardrails.
- Use threat intelligence platforms to improve threat hunting, detection, and response workflows.
- Communicate incident significance, business impact, and remediation recommendations to technical and non-technical stakeholders.
Requirements
- Active Top Secret clearance is required.
- At least 5 years of experience in Detection Engineering, Incident Response, or Security Operations is preferred.
- Proficiency in at least one programming language and ability to write production-grade code is required.
- Experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments is preferred.
- Practical experience with SIEM, EDR, and SOAR tools, including programmatic integrations or platform extensions, is preferred.
- Strong understanding of modern cyber threats, attack techniques, and adversary tactics, techniques, and procedures is preferred.
- Familiarity with digital forensics tools and malware analysis techniques is preferred.
- Experience with AWS, GCP, or Azure and their security telemetry is preferred.
- Exposure to threat intelligence platforms and integrating intelligence into detection and investigation workflows is preferred.
- Strong written and verbal communication skills are preferred.
- Relevant certifications such as GCIH, GCFA, GCIA, CISSP, or GDSA are a plus.
Benefits
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous paid time off
- Potential commuter stipend
- Full-time role with location-specific work arrangements referenced in the posting subtitle
- 90-day waiting period before reconsideration for the same role
Categories
About Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.