Drimva

Uber

Security Engineer II - Design Review / Threat Modelling

$171K–$190K

Seattle, Washington +1 · Full-time · Posted Oct 3, 2026

Location
Seattle, Washington
Sunnyvale, California
Experience
3+ years; no alternative stated.
Education
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

About the job

Conduct security design reviews, threat modeling, and penetration testing across Uber services and AI agents, while building automation to scale security assessments.

What you'll do

  • Review designs and threat-model services, applications, APIs, infrastructure, mobile platforms, and AI systems; provide corrective security guidance.
  • Adversarially test third-party AI agents and perform hands-on penetration testing to identify vulnerabilities and attack paths.
  • Build AI-powered security assessment automation and partner with teams to improve security controls and reduce recurring weaknesses.

What they ask for

  • 3+ years of professional experience in security engineering, systems architecture, or a related software engineering field.
  • Ability to analyze complex system designs and provide technical input on security challenges with multiple dependencies.
  • Knowledge of threat modeling, vulnerability classification, and risk modeling frameworks.
  • Experience with security designs for cloud-native services, microservices, or distributed systems; bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

  • Hands-on security design review and threat-modeling experience across complex applications, infrastructure, cloud, and mobile platforms.
  • Experience with backend languages, multi-cloud environments, AI/LLM security automation, or automated CI/CD and Secure Software Development Lifecycle processes.

Pay

USD $171,000 per year - USD $190,000 per year (base salary; Seattle, WA); USD $171,000 per year - USD $190,000 per year (base salary; Sunnyvale, CA)

Tools

Go, Java, Python, AWS, GCP, SQL, NoSQL, CI/CD

AI focus

Assess third-party AI agents through adversarial testing and build AI-powered automation for security reviews, threat modeling, and penetration testing.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)