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Staff Software Engineer - Compute Platform

Uber

Staff Software Engineer - Compute Platform

Uber

San Francisco, CA; Sunnyvale, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$223,000 - $248,000

Benefits & Perks

Competitive salary and equity package

Team events and activities

Generous paid time off and holidays

Parental leave

401(k) matching

Equity

Parental Leave

Required Skills

Python

React

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

View Company Profile

About the Role (Only Bay Area)

The Compute Platform team's mission is to build the next generation of Uber's container orchestration platform on Kubernetes that is secure, reliable, scalable, and highly efficient. At Uber we have a complex infrastructure spanning both on-prem data centers and cloud. It supports a diverse variety of workloads (stateless, stateful, batch, streaming, ML/AI), each different in its characteristics and requirements.

We build solutions to enable user applications/jobs to be deployed anywhere in the world with the touch of a button. We build abstractions to enable Uber developers with infrastructure that just works for every application type. We actively work with the open-source community including Kubernetes and contribute back. We are at the cutting edge of technology and the team regularly presents at industry conferences. Here are some Kube Con sessions (2024 session + video, 2023 session1, session2) where we have talked about our team's work.

We are looking for a strong technical leader to drive and craft the technical roadmap & delivery of key initiatives in the Compute Platform org.

---- What the Candidate Will Do ----

  • Lead initiatives through all stages of the project lifecycle, from ideation and design to project planning and execution, by understanding business requirements and providing effective solutions.
  • Develop and document high-quality code to address strategically important problems.
  • Productionize systems across Uber's fleet while carefully monitoring and evolving the solutions based on production data.
  • Foster collaboration across multiple teams to achieve successful delivery of projects.
  • Mentor engineers to cultivate their leadership capabilities.
  • Represent the team in both internal and external forums.

---- Basic Qualifications ----

  • Bachelor's degree in Computer Science or related field
  • Experience programming in multiple languages such as Go, Java, Python, C/C++
  • 8+ years of experience in low-level systems, distributed systems, or similar technologies.
  • Strong background in containerization, resource scheduling, and cluster management at scale.
  • Hands-on experience with performance tuning, reliability engineering, and cost optimization in compute environments.
  • Background in large-scale backend infrastructure.

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---- Preferred Qualifications ----- Working experience in cluster management solutions such as Kubernetes or Mesos.

  • Understanding of container technologies such as docker or containerd- Knowledge of operating systems and Linux kernel 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.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$223,000 per year**

  • USD**$248,000 per year**.

  • For Sunnyvale, CA-based roles: The base salary range for this role is USD**$223,000 per year**

  • USD**$248,000 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-149277

Employment Type: FULL_TIME

Posted: 2025-10-09T00:28:51
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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

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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