招聘
Benefits & Perks
•Flexible work arrangements
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Parental leave
•Flexible Hours
•Healthcare
•Parental Leave
Required Skills
PostgreSQL
TypeScript
React
About Us
Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.
Size: 10000+ employees
Industry: Technology
About the Role
Uber's AI Security team, part of Core Security Engineering, is building the foundational security platforms that enable AI at Uber to operate safely and at scale. As agentic workflows and the Model Context Protocol (MCP) become core to how teams build software, we are redefining identity, access control, and policy enforcement for both humans and AI agents.
This role will have the opportunity to work on securing MCPs, building agent identity and identity propagation, and delivering risk-based, adaptive access control as part of Uber's Zero Trust Architecture. You will help design and build backend systems that determine who or what can access which resources, under what context, and with what level of risk, in real time.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Design and build backend systems that secure MCP servers, AI tools, and agent-initiated actions
- Implement agent identity, identity propagation, and just-in-time credential flows across services and platforms
- Build and evolve security gateways (e.g., MCP Gateway) providing authentication, authorization, observability, and guardrails
- Implement risk-based and adaptive access control, integrating contextual signals (identity, behavior, environment, risk signals) into authorization decisions
- Partner with Risk and AuthZ systems to move from static rules and manual approvals to real-time, contextual access decisions
- Ensure systems are production-ready through strong reliability practices, monitoring, and operational ownership
- Collaborate closely with Dev Platform, Risk, Privacy, ML, and Infrastructure teams to embed security into core AI platforms
Email Address
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---- Basic Qualifications ----- 3+ years of experience building and operating backend or infrastructure systems in production- Strong proficiency in one or more backend languages (e.g. Go, Python, Java, or similar)- Experience designing and owning APIs, services, or platforms used by other engineers- Solid understanding of distributed systems fundamentals (auth flows, latency, reliability, failure modes)- Ability to translate security, identity, and platform requirements into concrete system designs---- Preferred Qualifications ----- Experience with identity, authentication, authorization, or access control systems- Familiarity with Zero Trust or identity-based security architectures- Experience building risk-aware or policy-driven systems (e.g., contextual authorization, approvals, gating, enforcement)- Experience with security-sensitive infrastructure such as gateways, credential distribution, policy engines, or audit systems- Familiarity with large-scale data or streaming systems (Kafka, Spark, Flink, Pinot, Hive, Cassandra)- Strong cross-functional communication skills For San Francisco, CA-based roles: The base salary range for this role is USD**$171,000 per year**
-
USD**$190,000 per year**.
-
For Seattle, WA-based roles: The base salary range for this role is USD**$171,000 per year**
-
USD**$190,000 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.
Client-provided location(s): Seattle, WA, San Francisco, CA
Job ID: Uber-153749
Employment Type: FULL_TIME
Posted: 2026-01-23T00:31:34
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Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
Fertility Benefits:
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
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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%
Recommend to a Friend
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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