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About the Role:
The Uber Global Network Infrastructure team is looking for a Staff Network Engineer with deep expertise in Cloud Networking across major public cloud providers and a solid foundation in on-premises backbone and data center networking. This role centers on designing, building, and managing Uber's production network - with Cloud networking as the primary focus and on-prem backbone and DC networking as a foundational discipline.
You will combine a strong command of cloud-native networking primitives with hands-on experience in on-prem environments to create resilient, high-performance infrastructure that powers Uber's global business. If you value simplicity, thrive in a fast-paced collaborative environment, and are excited to both teach and learn, we'd love to talk.
- Design, build, and operate next-generation cloud network solutions across major public cloud providers - including VPC architecture, inter-region connectivity, cloud security controls, and cloud-native load balancing.
- Architect and maintain on-premises backbone and data center networks that complement and interconnect with cloud environments in a 24/7 production setting.
- Ensure network availability, performance, and future scalability through automation-first engineering.
- Collaborate closely with Engineering and Business organizations across multiple domains to develop and implement network-based solutions supporting Uber's global growth.
- Research emerging cloud and network technologies and bring practical applications to production.
---- What the Candidate Will Do ----
- Lead the design, deployment, and operation of production cloud networking across major public cloud providers.
- Architect and maintain on-premises backbone and data center network fabrics as a complementary discipline, ensuring seamless integration with cloud environments.
- Apply an automation-first mindset to build and extend frameworks that deploy and modify cloud and on-prem networking primitives, auto-mitigate common failures, and continuously improve operational health at scale.
- Partner with stakeholders across Engineering and Business to identify, scope, and drive new production designs for cloud networking, backbone, transit, and data center environments.
- Participate in a 24/7/365 global on-call rotation and lead blameless post-mortem processes to drive continuous improvement.
- Collaborate with internal and external teams on projects, new functionality, and troubleshooting complex operational issues.
--- Basic Qualifications ----
- 7+ years of network engineering and operational experience in production environments, including 3+ years designing, deploying, and/or operating Cloud networking across one or more major public cloud providers, with a strong automation-first mindset and a track record of using software to scale and simplify network operations.
---- Preferred Qualifications ----
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Deep expertise across one or more major public cloud providers, with hands-on command of core networking primitives: VPC design, dedicated interconnects, transit gateway / hub-spoke topologies.
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Hands-on experience with large-scale on-premises backbone and DC networking (spine/leaf, BGP, IS-IS, MPLS).
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Passionate about leveraging software to automate network management, improve network observability, and remediate problems before they impact production.
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Experience with Go or Python for network automation tooling, infrastructure-as-code, and CI/CD pipelines targeting network infrastructure.
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Experience with network observability tooling (streaming telemetry, gNMI, custom dashboards, alerting).
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Proven ability to lead operational excellence through best-practice change management, outage mitigation, and blameless post-mortem processes.
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Great interpersonal skills, deep technical ability, and a portfolio of successful execution. Open-minded to various technical approaches and able to drive consensus across diverse stakeholders.
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For Sunnyvale, CA-based roles: The base salary range for this role is USD**$211,000 per year**
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USD**$234,000 per year**.
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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Uber 소개

Uber
PublicUber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10,001+
직원 수
San Francisco
본사 위치
$120B
기업 가치
리뷰
3.7
10개 리뷰
워라밸
3.2
보상
4.0
문화
4.1
커리어
3.4
경영진
2.8
68%
친구에게 추천
장점
Good compensation and pay
Flexible hours and schedule
Great team culture and colleagues
단점
Long hours and tight deadlines
High pressure and stressful environment
Poor management and lack of support
연봉 정보
15,354개 데이터
Mid/L4
Mid/L4 · Data Analyst
3개 리포트
$209,300
총 연봉
기본급
$161,000
주식
-
보너스
-
$203,580
$209,300
면접 경험
5개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
40%
경험
긍정 80%
보통 20%
부정 0%
면접 과정
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
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
뉴스 & 버즈
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News
·
3d ago
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News
·
3d ago
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News
·
4d ago