Our Client is seeking an IT Security Engineer IV to join their team.
Responsibilities:
- Engineer Automation Pipelines: Design, build, and maintain automated vulnerability ingestion and enrichment pipelines, aggregating data from diverse sources (ASM, EXM, Endpoint/CrowdStrike, and continuous Watchlists)
- Automate Triage & Routing: Develop automated gate-routing and risk-scoring mechanisms to systematically eliminate manual triage toil and accelerate defect prioritization
- Operationalize Threat Data: Partner with Threat Intelligence and Offensive Security to integrate adversary-awareness metrics (KEV, EPSS) into automated ticketing and residual risk ledgers
- Agentic Remediation Support: Assist in engineering automated remediation workflows (such as auto-PR generation and guardrail enforcement) to scale defect resolution across builder teams
- Defect Framework Enforcement: Programmatically enforce the Security Defect Framework, ensuring all automated tickets carry accurate priority, automated attribution, and clear definitions of done without requiring manual review
- Root-Cause Analysis: Analyze vulnerability volume trends (e.g., top ACP policy violations) and engineer programmatic prevention strategies to drive down inbound defect volume
Requirements
- Bachelor’s degree in Computer Science, Cybersecurity, Software Engineering, or equivalent practical experience building security automation
- Software Engineering: High proficiency in Python, Go, or similar languages specifically for building robust automation, RESTful API integrations, and data manipulation scripts
- Domain Expertise: Deep understanding of modern Vulnerability & Defect Management, Attack Surface Management (ASM), and Cloud Security Posture Management (CSPM) in enterprise environments
- Risk Contextualization: Strong working knowledge of exploitability frameworks (CVSS, EPSS, CISA KEV) and how to apply them programmatically to asset inventories
- Data Aggregation: Experience building systems that correlate and sanitize data from disparate security platforms into a unified risk model
- Execution & Autonomy: A strong “builder” mindset with a proven track record of converting manual operational workflows into scalable code
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