---
title: Staff Security Engineer Engineer at Uber
description: Uber is hiring for the Staff Security Engineer Engineer role in San Francisco,
  CA. Pays $232K–$258K per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/staff-security-engineer-engineer-at-uber-01a0d859-2919-7d5f-986e-ab7471b8e628
date: 2026-09-28T02:31:02Z
og_description: Join Uber as Staff Security Engineer Engineer in San Francisco, CA. Pays $232K–$258K
  per year. Full-time, hybrid role.
og_image: https://www.foundrole.com/og/str9ba.png
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  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | Uber |
| **Location** | San Francisco, CA (Hybrid) |
| **Salary** | $232K/yr - $258K/yr |
| **Type** | Full Time |
| **Posted** | Sep 23, 2026 |
## Description

**About the role and team**

Engineering at Uber means building for real-world impact under real-world constraints. The problems are complex, the systems are massive, and the pace is fast. You’ll need to make smart decisions with imperfect information — and own them. If you think in systems, stay calm under pressure, and care about building things that actually work — this is where you’ll grow.

As a Staff Security Engineer, you will safeguard user-facing products by leveraging AI and ML to identify evolving threats. You will architect and scale industry-leading solutions while navigating the "messy" reality of heterogeneous data and shifting adversary behaviors. This role is for a technical leader who can stay steady during high-stakes incident investigations and move with urgency to build proactive security frameworks.

**What you’ll do**

- Architect and scale sophisticated security services and frameworks designed to neutralize evolving threats across Uber's global ecosystem.
- Navigate high-stakes incident investigations by performing in-depth threat analysis and driving root cause analysis across complex, hybrid-cloud environments.
- Innovate and write high-quality, modular code to automate detection logic and scale response capabilities using Python, Go, or Ruby.
- Champion engineering excellence by establishing standards for detection rules, query optimization, and technical documentation within the organization.
- Collaborate across disciplines—including Network Ops, Incident Response, and Product—to influence security posture without direct authority.
- Own the transition from research to production by experimenting with new AI/ML techniques to continuously enhance our cyber defense capabilities.

**Basic Qualifications**

- 8+ years of professional experience in security engineering, threat detection, or client platform engineering.

- Demonstrated expertise in designing, building, and tuning detection systems (rules, anomaly models, correlation logic) across log, network, and endpoint telemetry, with a track record of improving detection coverage and signal fidelity while reducing false-positive burden on responders.

- Proven ability to solve strategically important problems by providing concrete technical input into code and systems across multiple teams.

- Demonstrated experience leading cross-functional security and privacy projects through all stages: inception, requirement gathering, threat modeling, and global operations.

- Expertise in defining standards for security/privacy, testing, monitoring, and alerting systems, while leading teams to execute against them.

- Ability to direct incident management as a high-level escalation point for other engineers, identifying and adopting best practices in incident response across teams.

- Demonstrated skill in making complex engineering and risk tradeoffs (e.g., Security/Privacy vs. Velocity, Buy vs. Build) with an understanding of short and long-term implications.

- Proven track record of technical writing and review, including ERDs, developer documentation, and post-mortems that meet business and compliance goals.

- Education: Bachelor’s degree in Computer Science, Cybersecurity, or a related technical field.

**Preferred Qualifications**

- Master’s degree or PhD in a technical field and 10+ years of experience in a cybersecurity leadership or staff-level role.
- Deep knowledge of Cybersecurity, Compliance, and Privacy, with experience chaining vulnerabilities and quantifying risks.
- Experience collaborating with EMs, TPMs, and PMs on prioritization, headcount planning, and technical evaluation of team members.
- Advanced expertise in leveraging AI/ML for security use cases and building device attestation or trust tooling at a global scale.
- Strategic relationship builder: Proven ability to leverage collaborative relationships with legal, product, and engineering stakeholders to build trust and accomplish work.

For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
## Skills

- Cloud Computing
- Doctor of Philosophy (PhD)
- Cyber Security
- Correlation Analysis
- Influencing
- Incident Investigation
- Query Optimization
- Python
- Agile Velocity
- Root Cause Analysis
- Prioritization
- Technical Writing
- Headcount Planning
- Team Leadership
- Requirements Gathering
- Incident Response
- Tire Pressure Monitoring Systems Certification
- Security Engineering
- Leadership
- Technical Documentation
- Threat Analysis
- Computer Science
- Incident Management
- Platform Engineering
- Incident Post-Mortem Analysis
- Telemetry
- Machine Learning
- Ruby
- Threat Detection
- Threat Modeling
## Benefits

- 401(k) Plans

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/staff-security-engineer-engineer-at-uber-01a0d859-2919-7d5f-986e-ab7471b8e628?utm_source=ai_markdown)

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