Jobs
About the Role
We are seeking a talented Software Engineer to join our Service Mesh team. Focused on high-impact projects, you will be dedicated to shaping the future of L4/L7 layer networking and service mesh infrastructure, building the efficient, modern, and resilient foundation for Uber's products. This role directly addresses the core engineering challenge of microservice communication by tackling complex, large-scale problems such as achieving extremescalability for a platform connecting over 25 million drivers and couriers globally, minimizing infrastructure cost and optimizing resource utilization, and implementing advanced load balancing to ensure high availability, low latency, and reliable communication across distributed hosts.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Design, develop, and maintain the service mesh infrastructure (discovery, traffic management, routing) to ensure high reliability and scalability
- Collaborate with cross-functional teams (Compute, Foundations, Deployment, Cloud, SRE, Storage, and Product teams), design and implement scalable, reliable, and high-performance L7/L4 layer networking solutions, through sophisticated experiments
- Participate in on-call rotations to provide timely resolution of critical incidents and ensure system availability.
- Conduct in-depth debugging and troubleshooting of networking issues, both proactively and reactively.
- Continuously improve the monitoring and alerting systems to enhance system reliability.
- Stay abreast of industry trends and emerging technologies in networking, service mesh, and cloud-native architectures.
---- Basic Qualifications ----
- You have a proven record of building and productionizing highly reliable infrastructure at scale.
- Experience in building large-scale distributed systems
- 2+ years of relevant engineering experience, specifically working on backend services' networking stack or building infrastructure platform-as-a-service services
- Proficient in one of the following programming languages: Go, C++,Java
- Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
- Demonstrated ability to thrive in a fast-paced, collaborative environment with a passion for continuous learning and improvement.
---- Preferred Qualifications ----
- 3+ years of relevant engineering experience
- Experience with Kubernetes (k8s), Istio service mesh and Envoy is highly desirable.
- A bonus if you are a domain expert in the field of network infrastructure, public cloud, compute, storage, networking, containers/orchestration, observability.
- A solid understanding of designing based on metrics to achieve business objectives
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For San Francisco, CA-based roles: The base salary range for this role is USD**$171,000 per year**
-
USD**$190,000 per year**.
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For Seattle, WA-based roles: The base salary range for this role is USD**$171,000 per year**
-
USD**$190,000 per year**.
-
For Sunnyvale, CA-based roles: The base salary range for this role is USD**$171,000 per year**
-
USD**$190,000 per year**.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
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 fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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.
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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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