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About the Role
We are looking for a software engineer who is passionate about designing and delivering projects from inception through production**. In this role, you will work closely with stakeholders, product managers, data scientists, and partner engineering teams to gather requirements and translate them into scalable platform features.**
You will also participate in on-call rotations**, driving continuous improvements in system availability, scalability, performance, and efficiency.**
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What You Will Do
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Design, build, and deliver platform features from concept to production
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Collaborate with cross-functional partners to translate business and product requirements into technical solutions
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Architect and develop scalable backend services and systems
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Build and maintain production-quality services with strong deployment, monitoring, and reliability practices
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Design and develop microservices and APIs using gRPC and/or REST
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Decompose complex problems into clean, extensible, and high-performance systems
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Implement logging, monitoring, and performance tuning to ensure system health
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Participate in on-call rotations and drive continuous system improvements
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Maintain high standards of code quality through testing, coverage, and code reviews
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Create clear technical documentation covering designs, requirements, flows, and architecture
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Basic Qualifications
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5+ years of professional experience in software development
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Strong experience in designing scalable system architectures
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Hands-on experience building production-grade services with deployment, monitoring, and reliability ownership
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Experience with microservices architecture and API development (gRPC and/or REST)
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Proficiency in Golang or Java
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Solid understanding of algorithms, data structures, and software design principles
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Experience with version control systems such as Git
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Strong problem-solving skills and ability to work effectively in a collaborative, cross-functional environment
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Comfortable working across multidisciplinary teams with a respectful, inclusive mindset
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Preferred Qualifications
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Experience working with machine learning, GenAI, or LLM-based systems
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Proven track record of designing and developing scalable microservices using modern architectural best practices
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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