Jobs
Required Skills
Go
Java
Python
C/C++
Distributed Systems
Systems Programming
About the Role
The Compute Platform team's mission is to build the next generation of Uber's container orchestration platform on Kubernetes that is secure, reliable, scalable, and highly efficient. At Uber we have a complex infrastructure spanning both on-prem data centers and cloud. It supports a diverse variety of workloads (stateless, stateful, batch, streaming, ML/AI), each different in its characteristics and requirements.
We build solutions to enable user applications/jobs to be deployed anywhere in the world with the touch of a button. We build abstractions to enable Uber developers with infrastructure that just works for every application type. We actively work with the open-source community including Kubernetes and contribute back. We are at the cutting edge of technology and the team regularly presents at industry conferences. Here are some Kube Con sessions (2024 session + video, 2023 session1, session2) where we have talked about our team's work.
We are looking for a strong technical leader to drive and craft the technical roadmap & delivery of key initiatives in the Compute Platform org.
What you'll Do
- Lead initiatives through all stages of the project lifecycle, from ideation and design to project planning and execution, by understanding business requirements and providing effective solutions.
- Develop and document high-quality code to address strategically important problems.
- Productionize systems across Uber's fleet while carefully monitoring and evolving the solutions based on production data.
- Foster collaboration across multiple teams to achieve successful delivery of projects.
- Mentor engineers to cultivate their leadership capabilities.
- Represent the team in both internal and external forums
What you'll need
- Bachelor's degree in Computer Science or related field.
- Experience programming in multiple languages such as Go, Java, Python, C/C++.
- 8+ years of experience in low-level systems, distributed systems, or similar technologies.
- Strong background in containerization, resource scheduling, and cluster management at scale.
- Hands-on experience with performance tuning, reliability engineering, and cost optimization in compute environments.
- Background in large-scale backend infrastructure.
Preferred Qualifications:
- Working experience in cluster management solutions such as Kubernetes or Mesos.
- Understanding of container technologies such as docker or containerd.
- Knowledge of operating systems and Linux kernel.
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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Lead Design Engineer
Cadence · BANGALORE

Principal Engineer - Memory Compiler Circuit Design
Marvell · Bangalore
Senior Software Engineer - Streaming Platform
Adyen · Bangalore, India

SAP Datasphere Developer
Schneider Electric · Bangalore, India

AIML Software Engineer - Computer Vision
ABB · Bangalore, Karnātaka, India
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
News & Buzz
Uber Shares Slip 2% Ahead Of Q4 Earnings As Robotaxi Ties Draw Focus - Eudaimonia and Co
Source: Eudaimonia and Co
News
·
4w ago
Uber Eats Ordered to Pay $3.5 Million Over NYC Delivery Worker Pay - The Wall Street Journal
Source: The Wall Street Journal
News
·
5w ago
Mayor Mamdani Announces $5 Million Settlement, Reinstatement of as Many as 10,000 Wrongfully Deactivated Food Delivery Workers - NYC.gov
Source: NYC.gov
News
·
5w ago
TSD Mobility teams up with Uber for Business to bring on-demand rides directly into the dealership workflow - CBT News
Source: CBT News
News
·
5w ago
