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Staff Software Engineer (Backend)- Order Platform

Uber

Staff Software Engineer (Backend)- Order Platform

Uber

Bangalore, India

·

On-site

·

Full-time

·

4d ago

Required Skills

Java

Go

About the Role:

Uber's Commerce Platform Engineering group is vital for maintaining and enhancing the infrastructure that enables all Uber lines of business to conduct transactions. As a central and mission-critical system, all commerce in and out of Uber flows through these systems, demanding strict 4 9's availability. This is one of our largest scalable systems, and its complex day-to-day interactions require careful coordination from engineers with a deep sense of quality, security, and ingenuity.

The Order Platform team provides a reliable, self-service platform for accessing commerce data and capabilities across Uber. It serves as a single point of integration between various Uber businesses and commerce systems, acting as the single source of truth for all transactions performed by any Uber business, including Uber Rides and Uber Eats.

As a critical central platform, we bridge the gap between infrastructure and product. We solve deep technical challenges at scale within problem domains specific to Uber's business. As a Staff Software Engineer, you'll own the end-to-end delivery of large initiatives, from design to production readiness. You'll also support and consult with other engineers on their projects and mentor the team. You'll partner closely with engineering leadership, product managers, and technical program managers to develop roadmaps.

Basic Qualifications:

  1. MS/BS in Computer Science or a related field, with at least 8 years of individual contributor experience as a software engineer.

  2. Fluent in one-of Go, Java, or C++.

  3. The ability to dive deep into a problem while also appreciating the challenge of understanding broader implications.

  4. Solid understanding of distributed systems architecture - including concepts like consensus, convergence, load balancing, data consistency, and performance/efficiency.

  5. Proven ability to identify and resolve performance and scalability issues.

  6. Strong communication skills, both written and verbal, to articulate complex ideas to various stakeholders.

  7. Experience as a tech lead who has mentored or led small teams in building product features at scale.

  8. Experience being on-call and handling operational issues for a large-scale distributed system.

Preferred Qualifications:

  1. Prior experience in fintech or payments.

  2. Prior experience with Go.

  3. Experience with batch and/or streaming computation platforms.

What the Candidate Will Do:

  1. Design, scale, code, monitor, and maintain a highly critical set of services.

  2. Contribute to, lead, own, and deliver multiple high-impact and complex projects or features.

  3. Mentor and groom junior engineers.

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 fuelds progress. What moves us, moves the world - let's move it 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