Security Technologist II: AI Security & Automation Lead

Uber

United States

On-site

USD 153,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Bonus program
Equity
401(k)

Job summary

Uber is seeking a senior member of its Security Review Team to proactively identify and reduce risk across Uber’s services and AI systems. You will conduct hands-on penetration testing, security design reviews, and threat modeling, partnering with engineering teams to drive remediation and improvements.

The role emphasizes AI-assisted automation to scale assessments, with a focus on third-party AI agents and privacy protections.

Qualifications

  • 5+ years in security engineering or related roles leading complex assessments.
  • Ability to review complex designs and architectures for systemic risks.
  • Experience with threat modeling across cloud services and APIs.
  • Hands-on security testing, vulnerability research, and exploitation validation.
  • Proficient in Python/Go for security tooling and automation.

Responsibilities

  • Lead security and privacy design reviews across services, APIs, and AI systems.
  • Perform threat modeling and identify attack surfaces and mitigations.
  • Conduct hands-on adversarial assessments of AI agents and agentic systems.
  • Perform code-assisted security reviews and penetration testing.
  • Lead end-to-end security assessments from scoping to remediation validation.
  • Collaborate with engineering, security, privacy, and third-party vendors to resolve issues.

Skills

Security testing
Threat modeling
Code review
Automation tooling
AI security

Education

Bachelor's degree in CS/Info Security

Tools

Python
Go

Job description

Uber is seeking a senior member of its Security Review Team to proactively identify and reduce risk across Uber’s services and AI systems. You will conduct hands-on penetration testing, security design reviews, and threat modeling, partnering with engineering teams to drive remediation and improvements.

The role emphasizes AI-assisted automation to scale assessments, with a focus on third-party AI agents and privacy protections.

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