Security Engineering Manager, Cloud Threat Detection

Amazon Web Services (AWS); Seattle (WA); On-site; USD 175,100 - 236,900; Full time

Job summary

Amazon Web Services is seeking an experienced Security Engineering Manager to lead the Security Analytics and AI Research group within AWS Security Services. You will guide engineers to invent and implement detection and ML solutions for GuardDuty and Security Hub, driving threat detection across cloud workloads.

Collaborate with scientists and partner teams to scale detections across data domains, align findings with MITRE ATT&CK and ATLAS, and help reduce false positives at scale.

Qualifications

• 3+ years of engineering team management experience.
• Bachelor’s degree in computer science or equivalent.
• 7+ years working in security research and engineering.
• Experience with developing products.
• Experience in cloud security, threat intelligence, malware detection, network security, and related fields.

Responsibilities

• Lead and develop a team of security experts building novel detection solutions at AWS scale.
• Own the security value of GuardDuty detections, leading operational reviews and prioritizing improvement opportunities.
• Collaborate with science and engineering teams to deliver detections to production across runtime, network, CloudTrail, and AI protection domains.
• Stay up to date with the ever changing cloud security and threat landscape, including emerging threats targeting agentic AI applications.
• Work backwards from our customers to drive product roadmaps and detection coverage improvements.
• Drive detection engineering best practices including attack simulation, security value evaluation, and coverage measurement.

Job description

Amazon Web Services is seeking an experienced Security Engineering Manager to lead the Security Analytics and AI Research group within AWS Security Services. You will guide engineers to invent and implement detection and ML solutions for GuardDuty and Security Hub, driving threat detection across cloud workloads.

Collaborate with scientists and partner teams to scale detections across data domains, align findings with MITRE ATT&CK and ATLAS, and help reduce false positives at scale.