Senior AI Security Engineer: Detection & Response (Remote)

Cyber StrategiX; San Francisco, San Diego, Los Angeles, Boston (CA, CA, CA, MA); Híbrido; USD 128.000 - 178.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Equity packages

Paid time off

Parental leave

Descripción de la vacante

ŌURA is seeking an AI Security Engineer to join its Detection & Response team to build AI agents and automations for alert triage, investigation, detection engineering, and approved response actions. The role blends security operations, threat hunting, incident response, and digital forensics across endpoints, cloud, identity, and SaaS environments.

The ideal candidate has 5+ years in cybersecurity with hands-on experience in Python, cloud infrastructure, and LLM-based solutions for security

Formación

• 5+ years of cybersecurity experience.
• Hands-on in security operations, detection engineering, and incident response.
• Experience building or integrating AI agents for security operations.
• Scripting in Python and experience with cloud environments and IaC.
• Strong communication and collaboration with technical and leadership teams.

Responsabilidades

• Design, build, and deploy AI agents and automations to investigate and triage alerts, write and tune detections, and automate routine security operations.
• Run AI-driven threat hunting and translate visibility gaps into new detections.
• Lead security incident response from detection through containment, eradication, recovery, and post-incident review.
• Conduct investigations and digital forensics across endpoint, cloud, identity, and SaaS environments.

Conocimientos

Security operations

Incident response

Threat hunting

Digital forensics

Python

LLM integration

Automation

Descripción del empleo

ŌURA is seeking an AI Security Engineer to join its Detection & Response team to build AI agents and automations for alert triage, investigation, detection engineering, and approved response actions. The role blends security operations, threat hunting, incident response, and digital forensics across endpoints, cloud, identity, and SaaS environments.

The ideal candidate has 5+ years in cybersecurity with hands-on experience in Python, cloud infrastructure, and LLM-based solutions for security