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About the Role
As a Senior Staff Software Engineer, you are the Global Technical Anchor for systems powering every Uber trip and transaction. You define the multi-year vision for the backend ecosystem, acting as a peer to Directors and VPs to ground Uber's most ambitious business goals in technical reality.
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What You'll Do
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Technical Strategy: Define the "North Star" multi-year roadmap and lead high-stakes "buy vs. build" evaluations on the Architecture Review Board.
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Execution & Excellence: Directly tackle high-risk challenges, driving a company-wide shift toward "Zero-Trust" and "Always-On" architectures.
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Mentorship & Influence: Act as a "leader of leaders" by mentoring Staff Engineers and serving as a strategic advisor to VP/CTO level leadership.
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Basic Qualifications
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Experience: 12+ years of experience delivering massive-scale distributed systems.
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Technical Depth: Expert-level understanding of distributed theory (CAP theorem, Paxos/Raft) and technical transformations.
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Education: BS/MS/PhD in Computer Science or equivalent industry experience.
Preferred Qualifications:
- Open Source: Significant contributions to major open-source infrastructure or distributed systems projects.
- Domain Expertise: Deep vertical expertise in Fin Tech or Security at a global "Big Tech" scale.
- Architectural Migration: Experience migrating monolithic architectures to modular or cell-based paradigms.
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 fuelds progress. What moves us, moves the world - let's move it forward, together.
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.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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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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