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Sr. Staff Software Engineer, Capacity Engineering

Uber

Sr. Staff Software Engineer, Capacity Engineering

Uber

San Francisco, CA; Sunnyvale, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$202,000 - $224,000

Benefits & Perks

Generous paid time off and holidays

Professional development budget

Parental leave

401(k) matching

Learning

Parental Leave

Required Skills

TypeScript

React

JavaScript

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:

The Capacity & Efficiency Engineering (CEE) organization is seeking an experienced and highly skilled Sr. Staff Software Engineer to join our dynamic team in San Francisco. This role requires a unique blend of expertise in capacity engineering (Planning, forecasting, allocation), data engineering, and full-stack development. The ideal candidate will be a visionary leader, capable of designing, implementing, and optimizing complex systems to ensure scalability, reliability, and performance.

As a Sr. Staff software engineer, you will define and own the vision of this team to drive accountability across the company for multi-billion dollars spent on platforms. Your scope will include building deep analytical tools for understanding consumption patterns of infrastructure, liaising with stakeholders across the company to find inefficiencies and work with them to make our systems lean and efficient. You'll build and enhance our capacity analytics products that help drive our cost-to-serve efficiency programs while we grow Uber's infrastructure in the cloud.

Responsibilities:

As a Sr. Staff Software Engineer, you will be the key technical leader driving efficiency, scalability, and financial accountability across Uber's engineering organization. You will leverage deep Data Engineering expertise to architect systems that directly influence strategic resource decisions.

  • Strategic Capacity Management (Planning, Forecasting, & Allocation):
  • Serve as the technical authority for strategic capacity planning and resource allocation. You will work across Uber to forecast future needs, proactively identify organizational capacity gaps, and establish technical guardrails to ensure resource efficiency within our budget.
  • Data-Driven Financial Visibility & Actionability:
  • Architect, design, and lead the development of essential, high-scale Engineering infrastructure. This platform will provide organization-wide visibility and actionability into engineering spend, enabling data-driven optimization.
  • Technical Leadership & System Architecture:
  • Provide technical leadership in designing and building highly available, scalable, and resilient products and core platforms that serve our customers and optimize internal systems. Your architectural decisions will define the future state of our most critical infrastructure.
  • Engineering Excellence & Collaboration:
  • Drive collaboration with peer Sr Staff engineers and engineering teams to champion best practices for system health, robustness, and refactoring. You will mentor senior engineers, setting the bar for code quality, resilience, and longevity across systems.

Basic Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 15+ years of experience in software engineering, with a strong focus on capacity engineering, data engineering, and full-stack development.
  • Deep data engineering experience.
  • Proven experience in designing and implementing large-scale, distributed systems.
  • Expertise in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Strong proficiency in at least one modern programming language (e.g., Python, Java, Go, Node.js).
  • In-depth knowledge of database systems (SQL and NoSQL) and data warehousing concepts.
  • Experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks.
  • Excellent problem-solving, analytical, and communication skills.
  • Demonstrated ability to lead and mentor engineering teams.

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  • Preferred Qualifications

  • Experience with stream processing technologies (e.g., Kafka, Flink).

  • Familiarity with machine learning/AI and their application in data engineering.

  • Contributions to open-source projects.

  • 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 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-153491

Employment Type: FULL_TIME

Posted: 2026-01-27T19:55:18
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