Security Detection Engineer

Responsibilities

• Design, build, and scale high-signal detections across cloud, identity, endpoint, network, and application layers using Detection-as-Code principles.
• Develop and maintain detection logic aligned to real-world attacker behavior and frameworks such as MITRE ATT&CK across modern security platforms.
• Translate threat intelligence into actionable detections and validate effectiveness through adversary emulation and testing.
• Build behavioral detections to protect against threats such as account takeover, credential abuse, API misuse, automation attacks, privilege escalation, and data exfiltration.
• Continuously improve detection quality by tuning alerts, reducing false positives, and implementing automated enrichment and triage.
• Define and track detection KPIs (e.g., precision, recall, false positive rate, MTTD) and implement processes to measure and improve detection health.
• Support and lead incident investigations, including containment, root cause analysis, and post-incident detection improvements.
• Contribute to the on-call rotation while proactively reducing operational overhead through automation.
• Partner with Engineering, IT, Infrastructure, Product, and GRC to ensure systems launch with strong monitoring and detection coverage.
• Map detections to threat models, identify visibility gaps, and continuously improve coverage as the environment scales.
• Explore and apply advanced analytics and machine learning techniques to improve detection fidelity, reduce noise, and enhance triage and investigation workflows.
• Stay ahead of evolving threats by researching emerging attack techniques and incorporating learnings into detection strategy.

Requirements

• 4+ years of hands-on experience in Information Security, with a focus on detection engineering, threat detection, or security operations.
• Demonstrated experience writing and tuning detections across cloud, identity, endpoint, or application environments.
• Familiarity with detection frameworks and tooling such as YARA, SIGMA, Suricata, or similar rule-based detection methodologies.
• Strong understanding of attacker techniques across identity compromise, cloud abuse, lateral movement, and data exfiltration.
• Expertise analyzing and building detections on cloud and SaaS telemetry, including authentication events, API activity, and system logs.
• Strong scripting skills in a scripting language such as Python, Go, or PowerShell for automation and tool development.
• Ability to operate effectively in a fast-paced, high-growth environment.
• Strong analytical mindset with a systems-thinking approach to reducing noise and increasing signal fidelity.
• Experience supporting incident response investigations and participating in on-call rotations.

Nice-to-Haves

• Experience building detective controls for consumer-facing platforms or detecting authentication and API abuse at scale.
• Familiarity with applying data analysis or machine learning techniques to security detection or alert triage.
• Bachelor’s degree in Computer Science, Information Security, or a related technical field, and/or relevant security certifications.