Senior Security Engineer - Cloud, AI-Driven Detection & SOC

ffive; Reston (VA); On-site; USD 152,000 - 228,000; Full time

Benefits offered by this job

Incentive compensation

Bonus

Restricted stock units

Benefits

Job summary

F5 Distributed Cloud seeks a Security Engineer III to enhance monitoring, detection, and incident response across the platform. You will design and optimize observability systems, improve detection quality, and strengthen security incident investigation in a large-scale distributed environment.

You will partner with architects, engineering, and compliance teams to define assets, controls, and monitoring requirements across cloud-native and hybrid environments, ensuring data quality and

Qualifications

• Bachelor's degree in Computer Science, Information Security, or related field.
• 4–6 years in security operations, monitoring, detection engineering, or incident response.
• Hands-on experience with logging, monitoring, and SIEM/dash boarding tools.

Responsibilities

• Design, implement, and enhance observability solutions leveraging AI-powered monitoring, telemetry analytics, logging, tracing, and metrics.
• Collaborate with Architects, Platform Engineering, Security Engineering, and SRE teams to define security controls and monitoring requirements.
• Integrate logging and security telemetry with SIEM/SOAR and cloud-native security tools.

Skills

Observability

Logging & monitoring

SIEM/SOAR

Cloud platforms

Programming/scripting

Education

Bachelor's degree in CS/Info Sec

Tools

AWS GuardDuty

Sumo Logic

Grafana

CrowdStrike

Datadog

Splunk

Thycotic

Job description

F5 Distributed Cloud seeks a Security Engineer III to enhance monitoring, detection, and incident response across the platform. You will design and optimize observability systems, improve detection quality, and strengthen security incident investigation in a large-scale distributed environment.

You will partner with architects, engineering, and compliance teams to define assets, controls, and monitoring requirements across cloud-native and hybrid environments, ensuring data quality and