Jobs
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 :
- Completely automated lifecycle management such as provisioning/decommission/ etc of any databases cluster
- Automated patching/upgrade
- Security and compliance
- 99.99% of availability
- High scalability
- Reliable to hardware , software failures
- Backup/restore
- Snapshoting/CDC/events
- Multiple failure domains - node , cluster , instance , zone and region
- Cost management
- Database migration services
- 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.
- Bachelor's degree or higher in Computer Science or related fields
- Proficient with any of the languages :Go, Java or C++
- Detailed problem-solving and knowledge of algorithms, data structures, and complexity analysis.
- Experience with inner workings of compute, SWN , storage , cloud or workflow management platforms.
- Experience with IAAS , compute and storage
- Experience with Cloud providers (AWS, GCP, Microsoft Azure)
- Knowledge or Experience with inner workings of Linux, containers (Docker, contrainerd),cluster management technologies (e.g. Mesos, Kubernetes), or virtual machine
---- Preferred Qualifications ----
- Experience in building PAAS offerings on the Database side like building AWS RDS, Azure Cosmos DB etc
- Strong programming experience with inner workings of Linux, containers (Docker, contrainerd),cluster management technologies (e.g. Mesos, Kubernetes), or virtual machine
- 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
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
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