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Sr Software Engineer - Backend, Mobility & Business Platforms

Uber

Sr Software Engineer - Backend, Mobility & Business Platforms

Uber

New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$202,000 - $224,000

Benefits & Perks

Flexible work arrangements

Team events and activities

Competitive salary and equity package

Professional development budget

401(k) matching

Flexible Hours

Equity

Learning

Required Skills

JavaScript

Python

React

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

View Company Profile

About the Role:

Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products.

About the Team: (We are hiring for multiple teams)Marketplace Matching is vital for Uber's core rides business, optimizing it through advanced algorithms, dynamic pricing, and machine learning to balance supply/demand, enhance the rider experience, and drive growth. Initiatives include UberX Priority, Wait & Save, strategic market differentiation, and global expansion. The Surge team ensures marketplace reliability by balancing supply/demand via dynamic pricing, while Rider Pricing & Incentives calculates real-time prices and uses promotions to grow demand. Both are crucial to Uber's success.

The Uber verticals team manages the largest segment within Uber's rides business. Our mission is to help travelers (airports, shared rides, HCV, Consumer trains, buses etc) understand what to expect, when to request a ride, where to go, and how to find their driver, no matter where they land in the world.

The Mobility trip pricing(rider pricing, incentive, surge) transforms business strategies into actionable, optimized plans for Ops to effectively manage incentives and pricing. This group implements the core optimization algorithms behind each planning product, develops how Ops interacts with these products, manages the API between planning and real-time systems and makes sure the planning products run reliably and produce high-quality results.

What You'll Do:

  • Design, build, and deploy scalable machine learning models to production to solve real-world business problems.
  • Collaborate with cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specification
  • Write clean, testable, and efficient code to ensure models run with low latency and high reliability.
  • Implement monitoring systems to track model performance, stability, and data drift in live environments.
  • Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack.

Basic Qualifications:

  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field with at least 3 years of full-time Software Engineering work experience OR PhD in Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Software Engineering work experience
  • Proficiency in at least one programming language such as Java, C++, Python, or Go
  • 3 years of experience with backend development, building and delivering end-user products.

Preferred Qualifications:

  • Master's degree or higher in Computer Science, Engineering, Mathematics or related field

  • More than 5 years of full-time Software Engineering work experience

  • Proven experience building highly available distributed systems (at Uber scale) and working across multiple backend services

  • Experience working on scalable backend systems utilizing a microservices architecture

  • High bar for quality as demonstrated by code reviews, documentation, unit and integration testing

  • Experience with optimization techniques and algorithmic development

  • Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis

  • For New York, NY-based roles: The base salary range for this role is USD**$202,000 per year**

  • USD**$224,000 per year**.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$202,000 per year**

  • USD**$224,000 per year**.

  • For Seattle, WA-based roles: The base salary range for this role is USD**$202,000 per year**

  • USD**$224,000 per year**.

  • For Sunnyvale, CA-based roles: The base salary range for this role is USD**$202,000 per year**

  • 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.

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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): Seattle, WA, San Francisco, CA, New York, NY, Sunnyvale, CA

Job ID: Uber-153566

Employment Type: FULL_TIME

Posted: 2026-01-14T00:26:32
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

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

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