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Sr. Software Engineer, Backend - Brazil

Uber

Sr. Software Engineer, Backend - Brazil

Uber

São Paulo, Brazil

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible Hours

Parental Leave

Learning

Healthcare

Required Skills

PostgreSQL

Node.js

React

About Uber

We reimagine the way the world moves for the better!

Movement is what we power. It's our lifeblood. It runs through our veins. It's what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.

What the Candidate Will Do

  • Design and develop scalable solutions to address fraud and abuse problems as well as drive better user experiences across Uber Products.
  • Work with cross functional teams (Product Managers, Data Scientists/Analysts, Program Engineers, Machine Learning Engineers) to identify any product/functionality gaps, define the problem space, contribute to product requirements, design and develop system solutions.
  • Collaborate with other engineering teams to drive end-to-end design, execution and product rollout.
  • Mentoring junior colleagues, providing guidance, support, and knowledge sharing to foster their professional growth.

Basic Qualifications

  • 5+ years of backend software engineering experience.
  • Bachelor of Science (BS) in Computer Science, Physics, or Mathematics, or related field.
  • Experience in working on large-scale distributed systems.
  • Experience shipping scalable, efficient, reliable, resilient code that reaches millions of users.
  • Data-driven architecture and systems design.
  • Expertise in one or more object-oriented programming languages (Go, Java).
  • Ability to thrive in a fast paced environment with evolving requirements.
  • Collaborate on projects and working efficiently as part of a team.

Preferred Qualifications

  • Master of Science (MS) in Computer Science or related Field.
  • Strong communication skills to effectively design technology systems and provide well-founded arguments during decision-making processes.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

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.

Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

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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