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Airbnb
Airbnb

Belong anywhere.

Engineering Manager, Network Infrastructure (Cloud)

직무엔지니어링 매니저
경력리드급
위치United States
근무원격
고용정규직
게시2개월 전
지원하기

필수 스킬

AWS

GCP

Azure

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.

The Networking team within Airbnb’s Cloud Infrastructure org owns the entire Airbnb production network infrastructure. The group is responsible for designing, building and operating the software and solutions that connect Airbnb users and services, such as traffic proxy and load balancer, service mesh, VPCs and cross-region connectivity, network monitoring and security systems etc. With users around the world, reliability, scalability, efficiency and high availability are our team’s core concerns.

The Difference You Will Make:

As an engineering manager, you’ll lead a diverse team of talented software engineers to build, operate and improve our Airbnb core networking capabilities. This will include day-to-day operations, building the team by hiring top talent, coaching and growing engineers, technical deep dives, community engagement, and strategic planning. You will work closely with peers across Cloud Infra, Security, Reliability, and many other partner teams across the company to deliver an Airbnb network platform that is flexible, efficient, always available, and scales with the needs of the business.

A Typical Day:

  • Work with tech leads, peers, and partners to define and execute on a coherent vision and roadmap for Airbnb’s cloud network infrastructure and related components

  • Build a robust team by attracting top talent, coaching individuals and team

  • Nurture a culture of technical quality from design, through code review, to production

  • Build strong partnership and alignment with teams across engineering

  • Nurture relationships with open source communities and external service partners

Your Expertise:

  • 3+ years of engineering management experience, with 6+ years of relevant software development experience in a fast paced tech environment

  • Experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings

  • Experience running large scale networking systems and software (e.g. proxies, CDN, DNS, gateways)

  • Experience with Istio service mesh, k8s and cloud native technologies is a plus

  • Excellent communication skills and the ability to work well with teams across the engineering organization (e.g. reliability, compute, security, etc.)

  • Strong problem-solving skills and experience leading teams on-call for production infrastructure

  • Passionate about efficiency, availability, technical quality and system quality

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range**$204,000—$255,000 USD**

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Airbnb 소개

Airbnb

Airbnb

Public

An online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet.

5,001-10,000

직원 수

San Francisco

본사 위치

$75B

기업 가치

리뷰

10개 리뷰

3.7

10개 리뷰

워라밸

3.2

보상

3.5

문화

4.1

커리어

3.0

경영진

2.8

68%

지인 추천률

장점

Great team culture and colleagues

Flexible work arrangements and remote options

Good benefits and perks

단점

Work-life balance challenges

Communication issues and lack of direction

Fast-paced and stressful environment

연봉 정보

37개 데이터

L2

L6

Mid/L4

Senior/L5

L3

L4

L5

L2 · Financial Analyst L2

0개 리포트

$211,250

총 연봉

기본급

$84,500

주식

$105,625

보너스

$21,125

$147,875

$274,625

면접 후기

후기 2개

난이도

3.5

/ 5

소요 기간

14-28주

합격률

50%

경험

긍정 50%

보통 50%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Behavioral Interview

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit