Detection Engineer

S&P Global•New York, NY

17h

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 the company’s critical assets. The role designs and develops detection capabilities across SIEM, EDR, cloud security, AI-powered security, and network monitoring platforms. It uses the MITRE ATT&CK framework to translate adversary behavior into alerts, and applies software engineering practices to manage detection rules. The engineer also validates defenses with red teams and breach simulation tools, helps improve the organization’s security posture, and mentors junior team members.

Requirements

Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or equivalent professional experience in security engineering.
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 or 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 with 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, 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.

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 MITRE ATT&CK to create real-time security alerts and improve threat visibility.
Tune and optimize detection rules to reduce false positives while preserving high-fidelity 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 test defenses, identify coverage gaps, and improve detection effectiveness.
Lead cross-functional initiatives to strengthen S&P Global’s security posture through detection engineering and mentor junior team members.