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JobsAirbnb

Software Engineer, Search Infrastructure

Airbnb

Software Engineer, Search Infrastructure

Airbnb

Barra do Garças, Brazil

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Equity

Bonus

Employee Travel Credits

Equity

Required Skills

Java

System design

Communication

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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About Airbnb

Airbnb

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

5,001-10,000

Employees

San Francisco

Headquarters

$75B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

4.2

Compensation

4.0

Culture

4.1

Career

3.0

Management

4.0

78%

Recommend to a Friend

Pros

Flexibility and work-life balance

Good pay and compensation

Great leadership and bosses

Cons

Dealing with difficult guests

Guest-related damages and messes

Stressful situations with complaints

Salary Ranges

16 data points

L2

L3

L4

L5

L6

Senior/L5

L2 · Financial Analyst L2

0 reports

$211,250

total / year

Base

$84,500

Stock

$105,625

Bonus

$21,125

$147,875

$274,625

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 44%

Neutral 34%

Negative 22%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit