Staff AI Security Engineer - (Agentic Systems), San Francisco, United States

Uber

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Work type
On-site
Location
New York, NYSeattle, WASan Francisco, CASunnyvale, CA
Posted
10 days ago
Nearby
99+ roles within 25 mi

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Similar $209k
$156k most similar roles pay here $260k

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About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 170 open roles on FindRole.

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TL;DR · Staff AI Security Engineer - (Agentic Systems), San Francisco, United States

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As a Staff Security Engineer on the Cyber Defense team at Uber, you will lead the development of next-generation security platforms using AI/ML and GenAI to combat sophisticated threats. Your daily responsibilities include architecting an AI-driven red-teaming platform for automated threat intelligence and designing autonomous security agents for real-time incident response. You will also ensure secure environments for developing advanced AI models used in adversary simulations. This role demands proficiency in Golang, Java, or Python, along with expertise in distributed systems and high-availability design. Ideal candidates have extensive experience in red-teaming, building AI-driven attack tools, and integrating GenAI into production security services. Knowledge of EDR solutions like CrowdStrike and SIEM platforms such as Splunk is crucial for this position focused on cutting-edge cybersecurity challenges at scale.

Skills

Python Golang Java Kubernetes Docker CI/CD AWS Azure Google Cloud Platform PostgreSQL MongoDB Redis Terraform Ansible Prometheus Grafana CrowdStrike SentinelOne Splunk Chronicle NIST CSF ISO 27001 GenAI Red Teaming

What you'll do

  • Architect and implement an AI-driven red teaming platform to automate threat intelligence processing.
  • Design autonomous security agents for rapid threat hunting and incident response at machine speed.
  • Define secure environments for the development and execution of advanced AI/ML models in adversary simulations.
  • Set technical direction by identifying priorities, managing expectations, and considering tradeoffs for projects.
  • Champion best software engineering practices to empower teams and build a culture of quality and operational excellence.

What we're looking for

  • 7+ years of industry experience in software development or security engineering.
  • Proficiency in programming languages like Golang, Java, or Python.
  • Deep understanding of distributed systems and high-performance design.
  • Hands-on experience with cyber defense including incident response and threat detection.
  • Experience in red teaming and building AI-driven attack tools.
  • In-depth knowledge of security software frameworks such as EDR and SIEM platforms.
  • Strong understanding of security frameworks and standards like NIST CSF and ISO 27001.

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