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트렌딩 기업

트렌딩 기업

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채용Uber

Sr Network Engineer

Uber

Sr Network Engineer

Uber

San Francisco, CA

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Parental leave

Flexible work arrangements

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

필수 스킬

Python

JavaScript

TypeScript

About the Role (Only Bay Area)

The Uber Global Network Infrastructure team is looking for someone with a passion in developing intelligent network infrastructures and embedding adaptive AI-driven decision-making while operating these cloud and on-prem networks. This role will combine a strong background in on-prem and cloud networking engineering and operations - and their many challenges and triumphs - and take that understanding and expertise in creating a resilient, high-performance network.

If you value simplicity, work comfortably in a collaborative, fast paced environment, and are excited to both teach and learn, we'd love to talk to you.

1. Design, build and operate all facets of our next-generation network solutions, to include cloud, transit, backbone and on-prem networks in a 24/7 environment that powers Uber's business.
2. Responsible for ensuring network availability, performance and future scalability through automation.
3. Embrace cross-team collaboration. You'll work closely with people across multiple Engineering and Business organizations to develop and implement network-based solutions that support our global growth.
4. Apply your intellectual curiosity and research new technologies; figure out their practical applications within our principles and then bring it to life in our production networks.

What the Candidate Will Do ----:

1. Identify and work with stakeholders to drive new production designs and deployments for POP, backbone, transit or Cloud networking.
2. Provide production on-prem and cloud networking support (GCP, OCI), interconnects, and VPC creation.
3. Collaborate with internal and external teams and stakeholders for projects, new functionality, or troubleshooting operational issues.
4. Participate in a 24/7/365 global on-call rotation.

---- Basic Qualifications ----

Basic Qualifications:

1. 5+ years of Network engineering and operational experience in production environments with proficiency in one or more programming/scripting languages (Python, Go) for network automation and tooling.

---- Preferred Qualifications ----

1. Experience leading large-scale green or brownfield architecture, designs, and deployments for global or national enterprise or Service Providers in backbone or data center network fabrics.
2. Domain expertise in one or more of the following areas: AWS, OCI, GCP, Backbone network design and architecture, large scale on premise data center networking, network automation and observability, Large scale distributed systems
3. Hands-on experience designing, deploying and/or operating Cloud networking in either AWS, OCI or GCP environments (Direct peering, VPC networking, Security controls).
4. Proven ability to lead operational excellence through best-practice change management, outage mitigation and blameless post-mortem processes.
5. You have great interpersonal skills, deep technical ability, and a portfolio of successful execution. You are open-minded to discuss various technical approaches and able to drive consensus across various stakeholders at Uber.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$180,000 per year**

  • USD**$200,000 per year**.

  • For Sunnyvale, CA-based roles: The base salary range for this role is USD**$180,000 per year**

  • USD**$200,000 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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Uber 소개

Uber

Uber

Public

Uber 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