Detection Engineer

S&P Global•New York, NY

17h•$140,000 - $155,000

About The Position

The Detection Engineer will join S&P Global’s IT - SGA CYBER DEFENSE team, a fast-paced cybersecurity organization focused on protecting the company’s critical assets. The role designs and develops detection logic across SIEM, EDR, cloud security, AI-powered security, and network monitoring platforms to identify sophisticated cyber threats. It also applies Detection-as-Code practices, validates security defenses, and advances the organization’s threat visibility and security posture. The engineer will lead cross-functional initiatives and mentor junior team members. The position requires substantial cybersecurity experience, including focused work in detection engineering, threat hunting, or security operations. The successful candidate will use programming and query languages, security platforms, and knowledge of MITRE ATT&CK to translate threat intelligence and telemetry into actionable detections. The anticipated US base salary range is $140,000 to $155,000, with eligibility for an annual incentive bonus plan and additional S&P Global benefits.

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, KQL, 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 using version control systems such as Git, GitLab, or Azure DevOps, CI/CD pipelines, and automated testing frameworks.
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.

Responsibilities

Design and develop detection logic for SIEM platforms, EDR solutions, cloud security tools, AI-powered security systems, and network monitoring platforms.
Map adversary tactics, techniques, and procedures using the MITRE ATT&CK framework to create real-time security alerts and improve threat visibility.
Tune and optimize detection rules to minimize false positives while maintaining high-fidelity threat detection and reducing alert fatigue.
Implement Detection-as-Code practices, including version control, automated testing, peer reviews, and CI/CD pipelines for detection rule management.
Collaborate with red teams and use automated breach simulation tools to validate 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.