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Benefits & Perks
•Team events and activities
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Professional development budget
•401(k) matching
•Equity
•Healthcare
•Learning
Required Skills
React
Node.js
TypeScript
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
The Search Platform team is responsible for the Search experience on several product surfaces at Uber, enabling millions of users to find, discover, and explore rides, food, etc. Search has played an increasingly important role in bringing Uber closer to its vision. The ideal candidate will bring extensive expertise in search infrastructure, showcasing a profound understanding of search algorithms, distributed systems, and scalability.
We are looking for an experienced Sr. Software Engineer to play a key role in refining and optimizing our search capabilities. You will get to work on cutting edge technologies and will get to work with industry experts ranging from distributed systems to machine learning.
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What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
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Design and implement new features in our search infrastructure solutions at Uber.
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Join on call rotation, driving continuous improvements on system availability, scalability, performance and efficiency.
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Collaborate with other infrastructure teams, production engineer team and product manager to drive adoption and standardize processes, and to design and implement high impact, cross-product features.---- Basic Qualifications ----- BS or MS in Computer Science or a related technical discipline, or equivalent experience.
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5 years of working experience in the software engineering industry- Proficient in one of the following programming languages: Java, Go, C/C++ or similar languages. Good scripting skills and ability to pick up new ones.
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Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.---- Preferred Qualifications ----- Experience with Apache Lucene, Elastic Search, Open Search, Solr and other Search technologies is a plus.
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Experiences with VectorDB, Vector Search, semantic search is a plus.
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Experience with highly available/fault tolerant, replicated data storage systems, large scale data processing systems or enterprise/cloud storage systems is also a strong plus For San Francisco, CA-based roles: The base salary range for this role is USD**$202,000 per year**
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USD**$224,000 per year**.
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For Sunnyvale, CA-based roles: The base salary range for this role is USD**$202,000 per year**
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USD**$224,000 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): San Francisco, CA, Sunnyvale, CA
Job ID: Uber-153839
Employment Type: FULL_TIME
Posted: 2026-01-22T00:34:38
Apply on company site
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
Apply on company site
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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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