Staff Offensive Security Engineer — AI-Driven Security

Uber

Sunnyvale (CA)

Hybrid

USD 232,000 - 258,000

Full time

3 days ago
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Job summary

Uber's Offensive Security team seeks a seasoned security engineer to perform hands-on penetration testing, threat modeling, and security design reviews for critical services and AI agents, with an automation-first mindset.

You will collaborate across engineering and security to translate findings into systemic improvements while balancing speed and security in a fast-moving, hybrid cloud environment.

Qualifications

  • 7+ years in security engineering or related areas.
  • Ability to analyze complex designs and drive solutions.
  • Expertise in threat modeling, vulnerability discovery, and risk assessment.
  • Experience securing cloud-native services and APIs.
  • Leader in security assessments across teams and systems.
  • Experience applying AI/LLMs or automation to security workflows.
  • Hands-on testing of complex applications and infrastructure.

Responsibilities

  • Perform hands-on penetration testing of Uber services, APIs, and infrastructure.
  • Conduct security design reviews and threat modeling for AI agents.
  • Build AI-powered automation for security testing at scale.
  • Translate findings into systemic security improvements with engineering teams.
  • Review engineering proposals for cloud, infra, app, and data security.
  • Provide actionable guidance to engineers and non-technical stakeholders.
  • Lead security assessments and help strengthen controls across Uber.

Skills

Threat modeling
Penetration testing
Security design reviews
Automation in security
AI/ML in security
Cloud security
Security assessments

Education

Master's or PhD in technical field

Job description

Uber's Offensive Security team seeks a seasoned security engineer to perform hands-on penetration testing, threat modeling, and security design reviews for critical services and AI agents, with an automation-first mindset.

You will collaborate across engineering and security to translate findings into systemic improvements while balancing speed and security in a fast-moving, hybrid cloud environment.

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