Detection Engineer

S&P Global•New York, NY

About The Position

The Detection Engineer will join S&P Global’s IT - SGA CYBER DEFENSE team, a fast-paced cybersecurity organization responsible for protecting critical assets and staying ahead of evolving cyber threats. The role focuses on designing, developing, validating, and continuously improving security detections across SIEM, EDR, cloud security, AI-powered security, and network monitoring platforms. The engineer will apply software development practices to detection rule management, collaborate with red teams and other teams to assess defensive coverage, and contribute technical leadership and mentorship. The position is listed at internal Grade Level 11.

Requirements

Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or equivalent professional experience in security engineering roles.
At least 5 years of hands-on cybersecurity experience, including at least 2 years focused on detection engineering, threat hunting, or security operations.
Proficiency in programming and scripting languages such as Python, PowerShell, or Bash, and query languages such as SQL, SPL (Splunk), KQL (Microsoft Sentinel), or similar.
Strong experience with SIEM platforms such as Splunk, QRadar, or Microsoft Sentinel; EDR solutions such as CrowdStrike, SentinelOne, or Microsoft Defender; and network security monitoring tools.
Knowledge of the MITRE ATT&CK framework and ability to translate threat intelligence into actionable detection rules and security alerts.
Experience with log analysis, telemetry interpretation, and data flows across networks, operating systems, cloud environments, and identity providers.

Nice To Haves

Advanced cybersecurity certifications such as GCIH, GCFA, or CISSP, or cloud security certifications such as AWS Security, Azure Security, or Google Cloud Security.
Experience implementing Detection-as-Code practices with version control systems such as Git, GitLab, or Azure DevOps, CI/CD pipelines, and automated testing frameworks for security rule deployment.
Hands-on experience with threat hunting, red team exercises, or penetration testing to validate detection capabilities and identify security gaps.
Knowledge of AI and machine learning applications in cybersecurity, including anomaly detection, behavioral analysis, and automated threat classification systems.

Responsibilities

Design and develop detection logic for SIEM platforms, EDR solutions, cloud security tools, AI-powered security systems, and network monitoring platforms to identify cyber threats and malicious activity.
Map adversary tactics, techniques, and procedures with the MITRE ATT&CK framework to create real-time security alerts and improve threat visibility.
Tune and optimize detection rules to reduce false positives while maintaining high-fidelity threat detection and reducing analyst alert fatigue.
Apply Detection-as-Code practices, including version control, automated testing, peer reviews, and CI/CD pipelines, to detection rule management.
Collaborate with red teams and use automated breach simulation tools to validate security defenses, identify coverage gaps, and improve detection effectiveness.
Lead cross-functional initiatives to improve S&P Global’s security posture through detection engineering approaches.
Mentor junior team members.