Cyber Defense Engineer

BeyondTrust is a global leader in privileged access management and identity security. The Cyber Defense Engineer will protect the company’s enterprise infrastructure and products by monitoring, investigating, and responding to security events, while contributing to detection engineering, threat intelligence, AI integration, automation, and operational excellence.

Responsibilities:

• Monitor and triage security alerts across SIEM, EDR, and CSPM platforms covering both corporate and product environments
• Investigate alerts to determine scope, severity, and whether escalation is warranted
• Leverage AI-assisted triage and enrichment tools to accelerate analysis and reduce mean time to detect
• Classify, document, and track alerts through the full lifecycle using ticketing and case management systems
• Participate in or lead incident response engagements from detection through remediation, including evidence collection, forensic analysis, root cause determination, and stakeholder communication
• Conduct investigations across SIEM, EDR, CSPM, and cloud-native log sources including identity provider logs, cloud audit trails, and network flow data—spanning both corporate and product infrastructure
• Execute established IR runbooks across identity, endpoint, cloud, and email investigation workflows
• Manage or assist with evidence handling, forensic artifact collection, and chain-of-custody procedures
• Produce clear, decision-ready incident summaries and post-incident reports for both technical and leadership audiences
• Contribute to the design, implementation, and tuning of detection rules across SIEM and EDR platforms, with a focus on reducing false positives and closing coverage gaps
• Translate threat intelligence (CVE advisories, CISA alerts, vendor bulletins, open-source feeds) into actionable detection content, with particular attention to threats targeting privileged access tooling and supply chain attack vectors
• Help maintain and evolve detection coverage mapped to MITRE ATT&CK
• Partner with threat hunting peers to validate detection logic through hypothesis-driven hunts
• Use AI-driven tools for alert triage, enrichment, and investigation as a standard part of daily operations
• Contribute to the evaluation, integration, and optimization of AI and automation capabilities across the team’s workflows
• Assist in designing prompts, agent workflows, or LLM-based pipelines that augment analyst capabilities and reduce manual effort
• Partner with engineering teams to improve log ingestion, data quality, and tool integrations
• Maintain daily operational notes and shift handoff documentation
• Contribute to and refine IR runbooks, playbooks, and standard operating procedures
• Participate in on-call rotation for after-hours incident escalation
• Track and report on operational metrics (MTTD, MTTR, MTTC, false positive rate) and identify improvement opportunities
• Participate in tabletop exercises, purple team activities, and post-incident reviews

Requirements:

• 2+ years of experience in a SOC, security operations, or incident response role
• Understanding of common attack frameworks (MITRE ATT&CK), network protocols, and endpoint behavior
• Experience with at least one SIEM platform and familiarity with writing search or detection queries
• Familiarity with EDR platforms and cloud environments (IaaS preferred)
• Comfort using AI systems (e.g., LLM-based assistants, copilots, or AI-driven analysis tools) as part of security workflows
• Strong written communication skills; able to document findings clearly and concisely for both technical and non-technical audiences
• Experience leading or co-leading complex incident response engagements from triage through remediation
• Experience with identity and access management platforms and cloud security posture management tools
• Scripting and automation skills (Python, PowerShell, or equivalent) applied to security workflows
• Familiarity with SOAR platforms or orchestration tools for automated response and enrichment
• Experience designing or implementing AI agent architectures, LLM-based automation pipelines, or prompt engineering for security use cases
• Experience building or contributing to threat intelligence programs or detection-as-code pipelines
• Understanding of the privileged access management landscape and the threat actors that target it
• Track record of evaluating and adopting emerging technologies in a production security environment