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Software Engineer II

Uber

Software Engineer II

Uber

Sunnyvale, CA

·

On-site

·

Full-time

·

4d ago

About the Role

The Sales Automation Engineering team is dedicated to empowering Uber Eats sellers by building tools and automation that make it easier to sell Uber Eats services to merchants. Our mission is to simplify and optimize every step of the seller journey - from prospecting to onboarding - through scalable systems, seamless integrations, and AI-driven solutions that enhance both seller and merchant experiences. Every project we deliver directly impacts Uber's top-line growth by helping sellers close deals faster and more effectively. As part of this team, you'll have the opportunity to design and implement innovative solutions that shape how Uber Eats grows its merchant base. Your work will combine cutting-edge technology, user-focused design, and measurable business impact.

What the Candidate Will Do:

Design, implement, and ship reliable and well-tested features to our sales users

Collaborate in a team environment with significant ownership and autonomy over projects.

Collaborates with stakeholders, solution architects, product managers, and other engineering teams to define project requirements and execution plans.

Create comprehensive documentation for the solutions, including design specifications, deployment guides, and operational support documentation.

Participate in agile development processes, including sprint planning, stand-ups, and retrospectives.

Leverage AI-driven solutions to empower the sales team with intelligent insights, automation, and personalized recommendations that enhance efficiency and drive revenue growth.

Basic Qualifications:

  1. A Bachelor's Degree in Computer Science or a related field (or equivalent experience).

  2. At least 4+ years of professional experience in software development.

  3. Strong understanding of computer science fundamentals, including object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.

  4. Proficient in at least one programming language, such as Python, Golang, Java, C#, or C++.

  5. Effective communication skills to interact with engineers, technical teams, and senior management to gather requirements, and describe software product features, technical designs, and product strategy.

  6. Working knowledge of API design, development, and management.

  7. Excellent problem-solving and troubleshooting skills.

  8. Proven ability to work collaboratively in a fast-paced and dynamic environment.

Preferred Qualifications:

  1. MS in Computer Science or related field.

  2. Knowledgeable in software engineering best practices throughout the entire software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

  3. Familiarity with cloud platforms, especially Salesforce, and hands-on experience with cloud-based integrations.

  4. Understanding of DevOps practices and tools, including CI/CD pipelines.

  5. Experience working in Agile development environments, with a strong commitment to delivering iterative, high-quality solutions.

  6. Enjoys solving complex business problems through innovative and technology-driven solutions.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$171,000 per year**

  • USD**$190,000 per year**.

  • For Sunnyvale, CA-based roles: The base salary range for this role is USD**$171,000 per year**

  • USD**$190,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/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.

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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