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As a BE Engineer on the Communications Platform team, you'll work on the code behind apps used by millions globally every day. In hundreds of cities, people tap their phones to get a ride, get food delivered, or earn extra cash with Uber. We're looking for hardworking engineers to make sure the delivery experience is magical. Join us to work on some of the most exciting challenges in tech, with projects ranging from laying the foundation for developers to build upon to designing communication experiences that's perfect for our users.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Writes reliable, clear, efficient, and well-tested code.
- Designs systems by re-using existing solutions, building new ones when needed, and considering future needs.
- Delivers results efficiently, manages tasks well, solves problems, and takes responsibility.
- Builds strong relationships, respects others, and resolves conflicts constructively.
- Improves efficiency by identifying and fixing problems in Uber's technology and teams.
- Contributes to a positive work environment and the broader tech community.
---- Basic Qualifications ----
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Proficiency in at least one programming language such as Java, Go, C++, etc.
- Deep understanding of computer systems, which may include experience with backend services, large-scale systems, multi cloud infrastructure, etc.
- Ability to contribute to technical innovation and problem-solving within a team setting.
- 6+ years of experience as a software engineer and building large-scale distributed system
- Experience in architecture design and developing high availability and high-performance systems.
---- Preferred Qualifications ----
- Strong passion to learn new technologies quickly and adapt to a rapidly evolving business and technological landscape.
- Strong teamwork and communication skills to effectively collaborate with other team members and stakeholders.
- Enthusiasm for embracing new challenges and continuous learning to drive innovation.
- Proven track record of scaling systems on a multi-cloud infrastructure.
- Demonstrated ability to mentor junior engineers and drive engineering excellence.
- Experience with machine learning infrastructure and AI technologies is advantageous.
- Experience with Web technologies is advantageous.
- Ability to perform in a fast-paced, multi-tasking environment with tight deadlines.
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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