招聘
Required Skills
Python
Java
SQL
Go
Kafka
Spark
About the Team
Mobility Ads: Millions of people depend on Uber's web application to make ride reservations and get on-demand Uber rides. The Rider Core Team at Uber is redefining what it means to Uber and expanding our products beyond on-demand rides. In this role, you'll work with many distributed teams, ranging from designers, engineers, and data scientists, to provide market-defining products and trip planning experiences around Ads in mobility.
About the Role:
- Uber's Ads Engineering Orgis building the next generation of advertising solutions to power monetization for Uber's mobility business. The Mobility Ad Productsteam is focused on delivering innovative, scalable ad experiences that connect riders and drivers with relevant advertisers while maintaining a seamless user experience.
- As a Sr Software Engineer, you will own and lead medium-to-large scoped projects **within mobility ads - from system design through production rollout. You will design scalable, low-latency systems, partner closely with Product and Data Science, and drive features from concept to global launch.**3. In this role, you will have direct impact on Uber's monetization strategy, experimentation velocity, and platform quality, while influencing technical direction and mentoring other engineers.
---- What the Candidate Will Do ----
- Lead design and development of high-performance, scalable ad-serving systems **for Uber's mobility ads.**2. Own and optimize backend services and distributed systems **handling millions of ad requests per second.**3. Collaborate with Product, DS teams **to implement new ad formats and monetization primitives from inception to delivery.**4. Work with streaming and batch processing technologies (Kafka, Flink, Spark) to manage ad performance data.
- Mentor and support your fellow teammates.
- Drive ongoing efficiency and reliability improvements that improve the quality of the systems.
---- Basic Qualifications ----
- 5+ years of industry experience building and operating backend or distributed systems at scale.
- Strong proficiency in one or more backend languages**(e.g., Java, Go, C++, Python) and experience building production-grade services.**3. Proven experience designing and delivering scalable, reliable, and low-latency systems **in a service-oriented or microservices architecture.4. Solid understanding of data structures, algorithms, and system design, with the ability to make sound architectural trade-offs.5. Hands-on experience with datastores(SQL and/or NoSQL), caching systems, and asynchronous processing.6. Experience owning features or systems end-to-end, from design and implementation to production rollout and on-call support.**7. Ability to work effectively with cross-functional partners (Product, Data Science, Infra) to deliver business impact.
- Good problem-solving skills and ability to writeclean, maintainable, and efficient code.
- Passion about your team's mission and the self-starting personality to make things happen
---- Preferred Qualifications ----
- Experience building and operating large-scale, low-latency backend systems.
- Prior exposure to ads, marketplace or auction-based platforms.
- Strong system design fundamentals, including scalability, reliability, and performance trade-offs.
- Experience with experimentation frameworks (A/B testing) and data-driven development.
- Demonstrated ability to mentor engineers and influence technical direction.
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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