Security Engineer

As a contract Security Engineer on Uber’s Security Review Team, you will proactively identify and reduce security and privacy risks across critical services, third-party platforms, and emerging AI technologies. Your primary focus will be reviewing engineering proposals and ERDs, building automation to scale security assessments, and conducting hands‑on adversarial testing of AI agents. You will partner with engineering, security, and privacy teams to turn findings into practical design improvements and reusable security controls.

• -Conduct ERD security and privacy reviews:
  Evaluate engineering proposals, architecture, and data flows across applications, APIs, cloud infrastructure, and AI systems. Identify risks involving authentication, authorization, sensitive data handling, data minimization, retention, and third-party sharing.
• -Perform threat modeling:
  Identify potential abuse cases and attack paths, recommend mitigations, and work with engineering teams to address risks before deployment.
• -Assess and test AI agents:
  Evaluate third‑party and internally developed coding and work‑focused agents through adversarial testing. Examine prompt injection, tool use, permissions, data access, sensitive data exposure, and external integrations.
• -Build security automation:
  Develop tools and AI‑assisted workflows to streamline ERD reviews, threat modeling, evidence collection, and security testing, increasing assessment coverage and consistency.
• -Conduct targeted penetration testing:
  Validate security assumptions and identify exploitable vulnerabilities in critical services, applications, APIs, and AI agents.
• -Drive remediation and share knowledge:
  Communicate actionable findings, validate fixes, and develop guidance that helps teams prevent recurring security and privacy issues.

• -5+ years of relevant professional experience, including 3+ years in security engineering or a related security role.
• -Experience conducting security design reviews, threat modeling, and privacy risk assessments.
• -Hands‑on penetration testing experience and a strong understanding of application, API, cloud, and data security.
• -Software development or scripting experience, with the ability to build tools and automate security workflows.
• -Familiarity with AI agent architectures and risks involving prompt injection, tool execution, permissions, and data access.
• -Strong written and verbal communication skills, including the ability to explain risks and recommend practical mitigations.
• -Ability to work independently with minimal supervision and collaborate across engineering, security, and privacy teams.
• -Bachelor’s or master’s degree in computer science, cybersecurity, or a related field, or equivalent practical experience.

• -Experience assessing AI agents, LLM applications, or third‑party AI platforms.
• -Experience building AI‑powered security review or testing automation.
• -Experience evaluating vendor security readiness and handling sensitive or business‑critical data.
• -Relevant security certifications, such as OSCP or CISSP.
• -A passion for learning, teaching, and improving security practices.

Flexible work from home options available.