トレンド企業

Airbnb
Airbnb

Belong anywhere.

Software Engineer, Infrastructure

職種エンジニアリング
経験ミドル級
勤務地Brazil
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Java

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.

Search is at the core of the Airbnb marketplace that connects our guests and hosts. It helps guests find the best homes and experiences to fit their needs and wants. We collaborate with cross-functional partners to revolutionize the Airbnb search experience and advance Airbnb's mission to help anyone feel like they can belong anywhere.

The Difference You Will Make:

  • Contribute to strengthening Airbnb’s Open Search ecosystem by actively participating in development, innovation, and upkeep.

  • Build systems that drive reliability, performance, and cost-efficiency in our Open Search infrastructure.

  • Develop tooling that enhances the developer experience for all Open Search users at Airbnb.

  • Collaborate and share improvements with the Open Search open source community.

A Typical Day:

  • Participate in design workshops focused on shaping the future of Airbnb’s search platform.

  • Dedicate significant focus time to building and improving tooling for Elastic Search/Open Search upgrades, using state-of-the-art language models as powerful engineering aides.

  • Engage in 1:1 mentoring sessions with experienced staff engineers to develop technical and professional skills.

  • Connect with team members and partners during in-person gatherings to align on goals and foster collaboration.

Your Expertise:

  • Proficiency with Java for building scalable, maintainable systems

  • BS, MS, or PhD in Computer Science, a related field, or equivalent work experience.

  • 4+ years of industry experience with a bachelor’s or master’s degree. No prior industry experience required for candidates with a PhD.

  • Familiarity with Elastic Search or Open Search is a plus.

  • Strong communication skills with a demonstrated ability to collaborate effectively across teams and stakeholders.

  • Professional proficiency in English (reading, writing, and speaking).

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.

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Airbnbについて

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

従業員数

San Francisco

本社所在地

$75B

企業価値

レビュー

10件のレビュー

3.7

10件のレビュー

ワークライフバランス

3.2

報酬

3.5

企業文化

4.1

キャリア

3.0

経営陣

2.8

68%

知人への推奨率

良い点

Great team culture and colleagues

Flexible work arrangements and remote options

Good benefits and perks

改善点

Work-life balance challenges

Communication issues and lack of direction

Fast-paced and stressful environment

給与レンジ

37件のデータ

L2

L6

Mid/L4

Senior/L5

L3

L4

L5

L2 · Financial Analyst L2

0件のレポート

$211,250

年収総額

基本給

$84,500

ストック

$105,625

ボーナス

$21,125

$147,875

$274,625

面接レビュー

レビュー2件

難易度

3.5

/ 5

期間

14-28週間

内定率

50%

体験

ポジティブ 50%

普通 50%

ネガティブ 0%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Behavioral Interview

7

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit