Scale Engineer

Staff Software Engineer

Software EngineerG10Hard

The Staff Software Engineer (G10) interview at Airbnb is a rigorous process designed to assess a candidate's technical depth, leadership capabilities, and alignment with Airbnb's culture and values. It typically involves multiple rounds focusing on system design, coding, problem-solving, and behavioral aspects. Candidates are expected to demonstrate a high level of expertise and the ability to influence technical direction and mentor other engineers.

Rounds·4

Timeline·~21d

Experience·8 - 15 yrs

Comp band·US$180000 - US$250000

Interview time·225 min

Evaluation

What they measure.

  • Technical Depth: Mastery of computer science fundamentals, algorithms, data structures, and system design principles.
  • Problem Solving: Ability to break down complex problems, analyze trade-offs, and propose effective solutions.
  • Leadership & Influence: Capacity to lead technical initiatives, mentor engineers, and drive consensus.
  • Communication: Clarity and effectiveness in articulating technical ideas and collaborating with others.
  • Cultural Alignment: Demonstrated understanding and embodiment of Airbnb's values (e.g., Belong Anywhere, Champion the Mission, Embrace the Adventure, etc.).
  • Impact: Proven track record of delivering significant technical contributions and driving business value.

Preparation

How to prepare.

Tips

  1. Deeply understand Airbnb's products, business, and technical challenges.
  2. Review core computer science concepts: data structures, algorithms, operating systems, databases, networking.
  3. Practice system design extensively, focusing on scalability, availability, and consistency.
  4. Prepare behavioral stories using the STAR method (Situation, Task, Action, Result) for common leadership and collaboration scenarios.
  5. Familiarize yourself with distributed systems concepts like consensus, caching, load balancing, and message queues.
  6. Research Airbnb's engineering blog and tech talks to understand their technology stack and challenges.
  7. Practice coding problems, especially those involving complex data structures and algorithms.
  8. Think about how you would mentor and guide other engineers.
  9. Be prepared to discuss your past projects in detail, highlighting your contributions and impact.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and practice (LeetCode Medium/Hard).

Weeks 1-2: Focus on core Data Structures and Algorithms. Review arrays, linked lists, trees, graphs, hash maps, heaps, sorting, searching, dynamic programming, and graph traversal algorithms. Practice problems on platforms like LeetCode (Medium/Hard).

Questions

Commonly asked.

  • Design a system to manage Airbnb Experiences bookings.
  • How would you design a recommendation engine for Airbnb listings?
  • Describe a time you had to deal with a major production incident. What did you learn?
  • How do you balance technical debt with feature delivery?
  • Tell me about a time you mentored a junior engineer. What was their growth trajectory?
  • Design a distributed rate limiter.
  • What are the trade-offs between different database technologies for a social graph?
  • How would you improve the performance of Airbnb's search functionality?
  • Describe a situation where you had to influence a team with a different technical opinion.
  • How do you stay updated with new technologies and trends?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Global

Interview focus

System Design: Emphasis on scalability, reliability, and maintainability of complex distributed systems.Leadership & Influence: Ability to drive technical initiatives, mentor junior engineers, and influence cross-functional teams.Problem Solving: Deep dive into complex technical problems and evaluating trade-offs.Behavioral: Assessing cultural fit, collaboration, and communication skills.

Common questions

  • How would you design a distributed caching system for Airbnb's listing service?
  • Discuss a time you had to influence a team to adopt a new technology. What was the outcome?
  • Describe a complex technical challenge you faced and how you overcame it.
  • How do you approach performance optimization in a large-scale system?
  • Tell me about a time you disagreed with a technical decision made by your manager or team. How did you handle it?

Tips

  • For US-based interviews, be prepared for in-depth discussions on distributed systems and cloud architecture (AWS, GCP).
  • Highlight experience with large-scale data processing and real-time systems.
  • Demonstrate leadership in past projects, focusing on impact and mentorship.
  • Practice articulating complex technical concepts clearly and concisely.
  • For international offices (e.g., Dublin, India), there might be a slightly higher emphasis on core data structures and algorithms, alongside system design.

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.