Jobs
Benefits & Perks
•Flexible work arrangements
•Parental leave
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Professional development budget
•Flexible Hours
•Parental Leave
•Equity
•Healthcare
•Learning
Required Skills
PostgreSQL
Python
JavaScript
About the Role
As a Staff Security Engineer, you will be the lead architect for Uber's next-generation cloud security infrastructure. Operating at the intersection of Cloud Architecture and Applied AI, you will move beyond static controls to build a dynamic, autonomous security ecosystem across our multi-cloud estate, especially GCP and OCI.
Your mission is to transform Cloud Security Posture Management (CSPM) from a reactive alerting system into a proactive, self-healing machine. You will spearhead the use of GenAI and AI Agent Orchestration to automate complex security reasoning-building intelligent agents that can independently analyze, prioritize, and remediate exploitable risks at scale.
You will also provide security design solutions to support Uber's new business initiatives to ensure secure-by-design and compliance.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Strategic Architecture: Define the long-term roadmap for *Identity-centric security and automated posture management for tens of thousands cloud users.
- AI Orchestration: Design and deploy *Multi-Agent systems and RAG pipelines to automate the end-to-end security remediation lifecycle.
- *Scaling Control: Implement "LLM-as-a-Judge" frameworks to ensure the safety and precision of autonomous security actions.
- Harden the Perimeter: Eliminate security hotspots and enforce *secure-by-default baselines across all cloud platforms.
- *Technical Leadership: Serve as a force-multiplier, mentoring engineers and bridging the gap between security research and production engineering.
---- Basic Qualifications ----
- *Multi-Cloud Expertise: 5+ years of experience in Cloud Security, with direct, hands-on experience architecting and securing Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI).
- *Security Posture Management: Expert-level understanding of CSPM frameworks, Deep knowledge of IAM, Network, vulnerability management (CVE reachability), and the automation of security baselines at scale.
- *Backend Systems Engineering: Proven track record of building scalable distributed systems (Go, Python, or Java) and managing complex security pipelines in large-scale environments.
- *Applied GenAI: Professional experience with LLM application development, including RAG patterns, vector databases, and AI Agent orchestration frameworks (e.g., Lang Chain, Auto Gen).
---- Preferred Qualifications ----
- Strategic Translation & Execution: Proven ability to translate complex *business objectives and regulatory compliance requirements (e.g., SOX, GDPR, PCI) into high-level architectural designs and actionable technical roadmaps. You should have a track record of bridging the gap between legal/audit stakeholders and engineering execution.
- Security Innovation: Experience pioneering the use of emerging technologies to solve legacy security debt, specifically using *AI/ML to automate compliance auditing or to perform predictive risk analysis.
- *Cross-Functional Influence: A history of leading large-scale security transformations by influencing senior leadership and partnering with DevOps/Infrastructure teams to adopt "Security-as-Code" practices.
- CNAPP Proficiency: Extensive experience operationalizing *Cloud-Native Application Protection Platforms (CNAPP) such as Wiz or Orca. Must be able to leverage these tools for deep visibility, risk prioritization (attack path analysis), and automated compliance monitoring.
- For San Francisco, CA-based roles: The base salary range for this role is USD**$232,000 per year**
- USD**$258,000 per year**.
- For Seattle, WA-based roles: The base salary range for this role is USD**$232,000 per year**
- USD**$258,000 per year**.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD**$232,000 per year**
- USD**$258,000 per year**.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
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Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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