Security Technologist II: AI Security & Threat Modeling

Uber Technologies Inc.; Seattle (WA); On-site; USD 153,000 - 170,000; Full time

Job summary

Uber Technologies Inc. is seeking a senior security professional to lead design reviews, threat modeling and hands-on adversarial testing of AI agents and services. You will partner with engineering, privacy and third-party teams to address risks while scaling assessments with AI-powered automation.

The role emphasizes secure data handling, architecture review, and cross-functional collaboration across Uber’s tech ecosystem, with a focus on proactive risk reduction and durable controls.

Qualifications

• 5+ years in security engineering roles with leading assessments.
• Ability to review complex designs and architectures for systemic risks.
• Experience with threat modeling and attack-path analysis across systems.
• Strong knowledge of authentication, authorization, data protection and privacy.

Responsibilities

• Lead security and privacy design reviews across services, APIs, infrastructure, and AI systems.
• Lead threat modeling for high-risk systems and design mitigations.
• Conduct advanced hands-on adversarial testing of AI agents and related systems.
• Perform code-assisted security reviews and targeted penetration testing.
• Own security assessments end-to-end from scoping to validation.
• Partner with engineering and vendors to drive remediation and validation.
• Develop AI-powered automation to scale reviews and testing.

Skills

Threat modeling

Adversarial security testing

Security design reviews

Penetration testing

Security tooling development

Python

Go

Education

Bachelor’s degree in Computer Science or related field

Equivalent practical experience

Tools

Python

Go

Job description

Uber Technologies Inc. is seeking a senior security professional to lead design reviews, threat modeling and hands-on adversarial testing of AI agents and services. You will partner with engineering, privacy and third-party teams to address risks while scaling assessments with AI-powered automation.

The role emphasizes secure data handling, architecture review, and cross-functional collaboration across Uber’s tech ecosystem, with a focus on proactive risk reduction and durable controls.