Jobs
Benefits & Perks
•Competitive salary and equity package
•Team events and activities
•Comprehensive health, dental, and vision insurance
•Professional development budget
•Flexible work arrangements
•401(k) matching
•Equity
•Healthcare
•Learning
•Flexible Hours
Required Skills
JavaScript
Node.js
PostgreSQL
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
We are seeking talented Senior Software Engineers to join our Engineering team, supporting Search Engineering efforts. In this role, you will play a key part in designing and optimizing backend infrastructure, enabling real-time and batch data processing to enhance search retrieval, ranking, and product experiences. You will work closely with BE and ML engineers, data scientists, and product teams to build robust, scalable, and high-performance data systems that power personalized user experiences.
What You'll Do
- Develop serving infrastructure to enhance system latency, throughput, and reliability
- Enhance search relevance by improving indexing, retrieval, and ranking mechanisms.
- Develop and optimize search algorithms, ranking models, and query processing techniques.
- Implement and maintain scalable search pipelines and distributed indexing systems.
- Work with machine learning engineers to integrate AI-driven search ranking and personalization models.
- Analyze search performance metrics and run A/B experiments to measure improvements.
- Optimize latency, throughput, and scalability of search infrastructure.
- Contribute to system design and architecture decisions to improve search quality and efficiency.
- Write clean, efficient, and maintainable code in Go, Python or Java.
- Collaborate with cross-functional teams to enhance search relevance and user experience.
- Monitor and troubleshoot search-related production issues to ensure system reliability.
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Basic Qualifications
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3+ years of experience in software engineering- Expertise in big data technologies such as Apache Spark, Kafka, Flink, Airflow, Presto, or Snowflake.
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Preferred Qualifications
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Familiarity with search retrieval, ranking techniques, query understanding, and text processing.
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Hands-on experience with search technologies such as Elasticsearch, Open Search, Solr, or Vespa.
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Strong experience with search and recommendation systems, working with Elasticsearch, Open Search, Solr, or similar technologies.
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Proficiency in distributed data processing frameworks and real-time streaming architectures.
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Deep understanding of data modeling, ETL pipelines, and data warehousing principles.
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Strong programming skills in Golan, Python, Scala, or Java.
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Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure tools.
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Ability to work on high-scale distributed systems and troubleshoot performance bottlenecks.
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Strong problem-solving and analytical skills, with a passion for data-driven decision-making.
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For San Francisco, CA-based roles: The base salary range for this role is USD**$171,000 per year**
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USD**$190,000 per year**.
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For Sunnyvale, CA-based roles: The base salary range for this role is USD**$171,000 per year**
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USD**$190,000 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-153807
Employment Type: FULL_TIME
Posted: 2026-01-21T19:59:22
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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