Scale Engineer

Software Engineer

Software EngineerG8Medium to Hard

The Airbnb G8 Software Engineer interview process is designed to assess a candidate's technical proficiency, problem-solving abilities, cultural fit, and potential for growth within the company. It typically involves multiple rounds, including technical interviews, behavioral interviews, and a hiring manager interview, with a focus on practical application of computer science fundamentals and Airbnb's core values.

Rounds·4

Timeline·~14d

Experience·4 - 8 yrs

Comp band·US$140000 - US$180000

Interview time·195 min

Evaluation

What they measure.

  • Problem-solving skills: Ability to break down complex problems, devise efficient solutions, and analyze trade-offs.
  • Technical depth: Strong understanding of data structures, algorithms, system design, and relevant programming languages.
  • Coding proficiency: Ability to write clean, efficient, and maintainable code.
  • Communication skills: Clarity in explaining technical concepts, thought processes, and collaborating with others.
  • Cultural fit: Alignment with Airbnb's values (e.g., Belong Anywhere, Champion the Mission, Embrace the Adventure, Be a Host) and ability to work collaboratively.
  • Experience and impact: Demonstrated ability to deliver impactful results in previous roles.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: Data Structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables), Algorithms (Sorting, Searching, Dynamic Programming, Graph Traversal), Time and Space Complexity (Big O notation).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium to hard difficulty.
  3. Study system design principles: Scalability, availability, reliability, consistency, load balancing, caching, databases (SQL vs. NoSQL), message queues, microservices.
  4. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result). Think of specific examples from your past experiences that demonstrate Airbnb's core values.
  5. Understand Airbnb's business and product: Familiarize yourself with their offerings, target audience, and recent news.
  6. Research common interview questions for Software Engineers at Airbnb and similar tech companies.
  7. Prepare thoughtful questions to ask the interviewer about the role, team, and company culture.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms. Practice 2-3 problems daily.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, heaps), graphs, hash tables. Practice algorithms like sorting (quicksort, mergesort), searching (binary search), dynamic programming, graph traversal (BFS, DFS), and greedy algorithms. Aim to solve 2-3 problems per day, focusing on understanding the underlying concepts and optimizing for time and space complexity.

Questions

Commonly asked.

  • Design a system to handle real-time pricing updates for Airbnb listings.
  • How would you implement a feature like 'wishlists' for Airbnb?
  • Describe a time you had to debug a production issue under pressure.
  • What are the trade-offs between using a relational database and a NoSQL database for Airbnb's user data?
  • How would you design a recommendation engine for Airbnb?
  • Tell me about a time you mentored a junior engineer.
  • How do you stay updated with new technologies and best practices?
  • Explain the concept of eventual consistency.
  • How would you design a system to detect fraudulent bookings?
  • Describe a situation where you had to influence a decision within your team.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Global (General)

Interview focus

Emphasis on distributed systems design and scalability, given the global nature of Airbnb's operations.Behavioral questions often probe for collaboration and communication skills, crucial for a global team.Technical depth in areas relevant to the specific team (e.g., search, payments, trust & safety).

Common questions

  • How would you design a system to handle real-time notifications for Airbnb bookings?
  • Discuss a time you had to deal with a difficult stakeholder. How did you manage the situation?
  • Describe a complex technical challenge you faced and how you overcame it.
  • What are your thoughts on microservices vs. monolithic architecture in the context of Airbnb's platform?
  • How do you ensure the scalability and reliability of your code?
  • Tell me about a time you disagreed with your team's technical direction. What did you do?

Tips

  • Research Airbnb's engineering blog to understand their tech stack and challenges.
  • Be prepared to discuss your experience with large-scale systems and distributed computing.
  • Understand Airbnb's mission and values, and be ready to articulate how you align with them.
  • Practice explaining complex technical concepts clearly and concisely.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Airbnb.

Frequently reported on Airbnb loops

View all at Airbnb

Other guides

More at Airbnb.