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Software Engineer II

Uber

Software Engineer II

Uber

New York, NY; Toronto, Canada

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental Leave

Healthcare

Flexible Hours

Required Skills

Python

JavaScript

TypeScript

About the Role

Uber is changing the way people think about transportation. Whether it's a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

We're looking for engineers to join our team to help Uber Eats build a new ads business that enables eaters to discover new food items/restaurants/grocery items and restaurants to grow their customer base. You'll work with teams behind apps used by millions globally every day and be a part of the technical foundations of this new LOB. In hundreds of cities, people tap their phones to get a ride, get food delivered, or earn extra cash with Uber; we're looking for engineers that can help us ensure every one of those experiences is magical.

Uber Eats ads business enables eaters to discover new foods, and restaurants to grow their customer base. You'll work with teams behind apps used by millions globally every day and be a part of the technical foundations of a new product.

Partners with stakeholders and leads team efforts to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.

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

  • Design, develop, and maintain robust and scalable software solutions
  • Collaborate with product managers, cross engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications
  • Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to testing and deployment
  • Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards
  • Stay up-to-date with the latest technologies and industry trends, evaluating their potential impact on our software systems and recommending appropriate integrations or improvements
  • Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment
  • Hands-on experience in productionizing machine learning or deep learning models in production
  • Proficiency in building batch and real-time data pipelines

---- Basic Qualifications ----

  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 1-year full-time Software Engineering work experience, WHICH INCLUDES 1-year total technical software engineering experience in one or more of the following areas:
  • Programming language (e.g. C, C++, Java, Python, or Go)
  • Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis
  • A desire to be part of a team that delivers impactful results every day
  • Innate drive to deliver results and a deep sense of accountability for your work
  • Passion for designing and building hyper-scale distributed systems
  • Resilience, determination, ownership mindset, and a keen appetite for collaborative efforts
  • Committed to crafting clear, maintainable, and reusable software

---- Preferred Qualifications ----

  • Scalability engineering

  • Distributed systems

  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field AND 3-year full-time Software Engineering work experience, WHICH INCLUDES 3-year total technical software engineering experience

  • For Canada-based roles: The base salary range for this role is CAD**$136,000 per year**

  • CAD**$151,000 per year**.

  • For New York, NY-based roles: The base salary range for this role is USD**$167,000 per year**

  • USD**$185,500 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 is proud to be an Equal Opportunity/Affirmative Action 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.

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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