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Sr. Staff Software Engineer, Capacity Engineering
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
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.
Email Address
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Preferred Qualifications
-
Experience with stream processing technologies (e.g., Kafka, Flink).
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Familiarity with machine learning/AI and their application in data engineering.
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Contributions to open-source projects.
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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
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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