Jobs
About the Role
The Stateful Platform team builds Uber's infrastructure to deploy and run all database engines and other stateful systems such as MySQL, Docstore, Redis, Zoo Keeper, Kafka and HDFS for all of Uber worldwide. Our mission is to run all Uber's storage solutions at scale, with high-availability, low cost, and high level of automation. All changes are automated such as doing kernel upgrades, handling host failures, or expanding storage clusters.
We manage close to 100,000 hosts, millions of containers and exabytes of storage across multiple geographical regions with availability zones in both Uber's own data centers, AWS and GCP. Databases are dockerized and co-located on hosts with intelligent placement to optimize utilization and failure domain anti-affinity to maximize efficiency and reliability. Services are written in Go with a strong focus on clean, readable code with unit and integration test coverage. All code changes are peer-reviewed.
We have great opportunities ahead to extend the integrations with the different database engines and to increase fleet-wide efficiency by optimizing scheduling, host lifecycle processes, auto-scaling and resource forecasting. We strive to automate all operations that are currently handled by on-call engineers with the end goal of having a fully self-healing system - without compromising on availability or reliability.
Our team consists of a healthy combination of both junior and senior engineers with a broad range of experiences across the industry. We value ideas over hierarchy, getting things done and having a measurable impact on the business. We work closely with our stakeholder teams in San Francisco, Palo Alto, Seattle, New York and Bangalore.
What You Will Do:
- Drive the technical alignment internally and with stakeholder teams
- Be responsible for roadmap execution and delivery of projects with high quality
- Grow, coach, and develop a team of skilled and experienced software engineers
- Recruit high-quality engineering talent for the team
- Help define the engineering culture and uphold the processes that will shape the future of the team
- Help define the future of Uber Infrastructure's Stateful Platform
Basic Qualifications:
- 8+ years of professional software development experience
- 4+ years experience minimum with direct people management, including growing and mentoring junior and senior engineers
- BS, MS or PhD degree in computer science, similar technical field of study or equivalent practical experience
- Experience in designing and building world-class software
Preferred Qualifications:
- 5+ years experience minimum with direct people management
- Experience with Amazon AWS, Google Cloud Platform (GCP), or similar
- Experience with container platforms such as Kubernetes or Mesos
- Experience in building large-scale distributed systems
- Have proven track record working across a larger organization not just across teams
- Strong Linux experience, networking protocols, Linux tools and libraries
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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