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.

QUALIFICATIONS:

• 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.

• Experience building detective controls for consumer-facing platforms or detecting authentication and API abuse at scale is a strong plus.

• Effective communicator who can collaborate with engineers and explain detection strategy clearly to both technical and non-technical stakeholders.

• Familiarity with applying data analysis or machine learning techniques to security detection or alert triage is a plus.

• Bachelor’s degree in Computer Science, Information Security, or a related technical field, and/or relevant security certifications are a plus.