Detection Engineer

About the Role:

Grade Level (for internal use): 11

The IT - SGA CYBER DEFENSE team is a driven, fast-paced cybersecurity organization where passionate security professionals work together to protect S&P Global's critical assets. Our team thrives in a dynamic environment where innovation meets expertise, and every team member is committed to staying ahead of evolving cyber threats. We value dedication, continuous learning, and the relentless pursuit of security excellence.

• Design and develop advanced detection logic for SIEM platforms, EDR solutions, cloud security tools, AI-powered security systems, and network monitoring platforms to identify sophisticated cyber threats and malicious activities
• Map adversary tactics, techniques, and procedures using MITRE ATT&CK framework to create real-time security alerts and enhance organizational threat visibility
• Continuously tune and optimize detection rules to minimize false positives while maintaining high-fidelity threat detection capabilities, reducing alert fatigue for security analysts
• Implement Detection-as-Code methodologies by applying software development practices including version control, automated testing, peer reviews, and CI/CD pipelines to detection rule management
• Validate and test security defenses through collaboration with red teams and automated breach simulation tools to identify coverage gaps and improve detection effectiveness
• Lead cross-functional initiatives to enhance S&P Global's security posture through innovative detection engineering approaches and mentorship of junior team members

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

• Advanced certifications in cybersecurity such as GCIH, GCFA, CISSP, or cloud security certifications (including AWS Security, Azure Security, or Google Cloud Security)
• Experience implementing Detection-as-Code practices using version control systems (such as Git, Git Lab, or Azure Dev Ops), CI/CD pipelines, and automated testing frameworks for security rule deployment
• Hands‑on experience with threat hunting methodologies, 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

S&P Global states that the anticipated base salary range for this position is $140,000 to $155,000. Base salary ranges may vary by geographic location.

In addition to base compensation, this role is eligible for additional compensation such as annual incentive bonus plan.

This role is…