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Staff Software Engineer

Uber

Staff Software Engineer

Uber

Bangalore, India

·

On-site

·

Full-time

·

4d ago

About the Role

Storage Org in Uber can be comparable to any PAAS offerings on the database side from cloud providers.

This team provides multiple databases as service to product teams. Which is used to power every single critical use case of Uber. Storage org's mission is to deliver standardized, integrated, and fully managed storage solutions for applications with efficiency, reliability and performance.

Provides following features for every single database platform :

  1. Completely automated lifecycle management such as provisioning/decommission/ etc of any databases cluster
  2. Automated patching/upgrade
  3. Security and compliance
  4. 99.99% of availability
  5. High scalability
  6. Reliable to hardware , software failures
  7. Backup/restore
  8. Snapshoting/CDC/events
  9. Multiple failure domains - node , cluster , instance , zone and region
  10. Cost management
  11. Database migration services
  12. Customisable performance

What you'll do
As a Staff software engineeryou will drive some of the most complex technical platform initiatives for storage end-to-end and help Uber run across multiple public clouds and private data centers in most effective and seamless manner.

What you'll need

7+ years of relevant engineering experience.

  1. Bachelor's degree or higher in Computer Science or related fields
  2. Proficient with any of the languages :Go, Java or C++
  3. Detailed problem-solving and knowledge of algorithms, data structures, and complexity analysis.
  4. Experience with inner workings of compute, SWN , storage , cloud or workflow management platforms.
  5. Experience with IAAS , compute and storage
  6. Experience with Cloud providers (AWS, GCP, Microsoft Azure)
  7. Knowledge or Experience with inner workings of Linux, containers (Docker, contrainerd),cluster management technologies (e.g. Mesos, Kubernetes), or virtual machine

---- Preferred Qualifications ----

  1. Experience in building PAAS offerings on the Database side like building AWS RDS, Azure Cosmos DB etc
  2. Strong programming experience with inner workings of Linux, containers (Docker, contrainerd),cluster management technologies (e.g. Mesos, Kubernetes), or virtual machine
  3. Experience in Golang, stateful workflow management systems like Cadence is good to have

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