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Software Engineer II, Backend - Authorization Platform

Uber

Software Engineer II, Backend - Authorization Platform

Uber

São Paulo, Brazil

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental Leave

Learning

Healthcare

Required Skills

TypeScript

Node.js

React

Please note: this hybrid position is based in São Paulo, Brazil - welcoming both local professionals and those open to relocating to São Paulo.
About the role:
Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.

About the Team:
Core Security Engineering's mission is to make the Uber production environment secure by default and provide industry leading products and services to all Uber's production services and infrastructure. We are focused on building both security primitives and end users products that help Uber engineers to secure their service, build trust, and advance security to enable our global business.

We are responsible for providing and managing systems, services, and libraries to provide access management, and enforcement at scale. The scope spans across multiple verticals like service-to-service authentication/authorization, employee to system auth, customer auth.

You'll work on critical distributed multi-cloud services at a massive scale crafted with the best security practices at the forefront. You'll be accountable for long term decisions on leveraging next generation infrastructure to continuously scale and operate such foundational security services.

Minimum qualifications:

  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field OR3-year full-time Software Engineering work experience,WHICH INCLUDES 3-year total technical software engineering experience in one or more of the following areas:
  • Programming language (e.g. C, C++, Java, Python, or Go)
  • Note the 3-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.
  • Algorithm & Data Structures fundamentals is expected for this position, including hash tables, trees, stacks, queues, linked list, DFS, BFS.
  • Advanced English language skills are also important since this team will be working with other engineers and stakeholders from different regions around the world

Technical skills:

Preferred:

  • Scalability engineering
  • Distributed systems

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