Airbnb Staff Software Engineer Interview Preparation Guide
Airbnb's Staff Software Engineer interview process is comprehensive and evaluates technical mastery, system design expertise, code quality judgment, and leadership capability. The process spans 3-6 weeks and includes a recruiter screening, technical phone screen, and 5 onsite interview rounds conducted at Airbnb's offices or virtually. For Staff level candidates, the process emphasizes architectural thinking, mentoring and team impact, strategic decision-making, and the ability to influence cross-functional initiatives. Interviewers assess both technical depth and leadership qualities essential for a senior individual contributor role.
Interview Rounds
Recruiter Screening
What to Expect
An initial informal discussion with an Airbnb recruiter to understand your professional background, motivation for joining Airbnb, and alignment with the Staff Software Engineer role. This round assesses your technical background, years of experience, and cultural fit with Airbnb's values. The recruiter will discuss the role's scope, the engineering team you might join, and answer questions about Airbnb's technology stack and engineering culture. For Staff level, recruiters evaluate your leadership experience, cross-functional collaboration history, and strategic thinking. This is an opportunity to demonstrate ownership mentality and understanding of large-scale problems.
Tips & Advice
Research Airbnb's mission and core values before this call. Prepare 3-4 specific examples of projects where you owned architecture decisions or mentored junior engineers. Ask about the team structure, current technical challenges, and how Staff engineers impact the organization. Highlight experiences with scaling systems, cross-functional partnerships, and technical leadership. Communicate your interest in working on complex problems and growing engineers around you. Be authentic about what motivates you.
Focus Topics
Understanding of Airbnb's Technology and Scale
Basic knowledge of Airbnb's products (search, payments, hosting, trust), their technical stack, and scale challenges they face. Understanding of distributed systems challenges in a global platform.
Practice Interview
Study Questions
Questions for the Recruiter
Prepare thoughtful questions about the team, current technical initiatives, scope of the Staff role, growth opportunities, and impact of past Staff engineers. Ask about team composition, challenges, and what success looks like.
Practice Interview
Study Questions
Motivation for Airbnb and Role Understanding
Articulate why you're interested in Airbnb specifically, what excites you about the Staff Software Engineer role, and how it aligns with your career goals. Research Airbnb's technical challenges in scaling, global operations, and trust/safety.
Practice Interview
Study Questions
Alignment with Airbnb Values
Understanding and embodiment of Airbnb's core values: Belong Anywhere, Be a Host, Champion the Host, Every Frame a Painting, Don't Go There. Provide examples of how you've demonstrated these values or similar cultural principles in past roles.
Practice Interview
Study Questions
Cross-Functional Leadership and Mentoring
Examples of how you've worked with product, design, and other engineering teams. Stories about mentoring junior and mid-level engineers, growing team capabilities, and driving technical culture improvements. For Staff level, this is critical.
Practice Interview
Study Questions
Technical Background and Experience Summary
Clear articulation of your 12+ years of software engineering experience, specializations, and career progression. Highlight roles where you've had architectural ownership, led technical initiatives, or managed complex systems. For Staff level, emphasize breadth of experience across multiple domains, languages, and architectural patterns.
Practice Interview
Study Questions
Technical Phone Screen
What to Expect
A 60-90 minute technical assessment conducted via phone or video, typically using HackerRank or similar platform. You'll solve 2-3 algorithmic problems focused on core data structures and algorithms. This round evaluates your problem-solving approach, coding ability, code quality, and communication skills. For Staff level, interviewers expect clean, efficient code with thoughtful optimization. You'll be asked to discuss complexity trade-offs and should demonstrate knowledge of algorithm optimization techniques. The screen also tests your ability to think through edge cases and robustness of your solutions. This is a filter round where Airbnb assesses foundational coding skills before moving to system design.
Tips & Advice
Practice 25-30 medium to hard LeetCode problems focusing on arrays, strings, trees, graphs, and dynamic programming. For Staff level, practice explaining your thought process clearly and discussing multiple solution approaches with different complexity trade-offs. Write clean, readable code with proper error handling. Test your code mentally for edge cases before declaring it complete. Communicate your approach before coding. If you're stuck, think out loud and ask clarifying questions. Focus on correctness first, then optimization. Practice under time constraints to build speed and confidence.
Focus Topics
Real-World Problem Solving
Solving problems that mirror real Airbnb scenarios: filtering listings based on criteria, resolving booking conflicts, managing asynchronous messaging, recommendation systems. Understanding product context and UX implications of algorithmic choices.
Practice Interview
Study Questions
Code Quality and Edge Case Handling
Writing clean, well-structured code with meaningful variable names and clear logic. Identifying and handling edge cases: empty inputs, single elements, boundary conditions, negative numbers, duplicates. Testing solutions systematically.
Practice Interview
Study Questions
Communication and Explanation
Clear articulation of problem understanding, solution approach, complexity analysis, and design decisions. Ability to explain trade-offs between different solutions. For Staff level, explaining why certain optimizations matter in production contexts.
Practice Interview
Study Questions
Core Data Structures Mastery
Deep proficiency with arrays, linked lists, stacks, queues, trees (binary trees, BSTs, balanced trees), graphs, heaps, and hash tables. Understanding of when to use each structure, trade-offs between them, and implementation details. For Staff level, knowledge of advanced variations and optimization techniques.
Practice Interview
Study Questions
Algorithm Design and Optimization
Proficiency with key algorithms: sorting, searching, graph traversal (DFS, BFS), dynamic programming, greedy algorithms, and recursion. Understanding optimization techniques like memoization, pruning, and early termination.
Practice Interview
Study Questions
Algorithm Complexity Analysis
Strong understanding of Big-O notation, time and space complexity analysis. Ability to analyze algorithms, identify bottlenecks, and articulate complexity trade-offs between different approaches. For Staff level, understanding amortized complexity and practical performance implications.
Practice Interview
Study Questions
Onsite - Coding Round 1
What to Expect
First of two technical coding rounds during the onsite interview loop, conducted by a senior Airbnb engineer. This 60-minute session involves solving 1-2 coding problems similar in nature to the phone screen but potentially more complex or nuanced. The interviewer evaluates your problem-solving approach, code quality, optimization skills, and communication. For Staff level, this round assesses whether you can handle complex algorithms confidently and discuss trade-offs thoughtfully. You'll be expected to identify optimal solutions and explain why certain approaches are better than others. This round also tests your ability to handle feedback and adjust your approach mid-problem if needed.
Tips & Advice
For Staff level, prioritize understanding the problem deeply before jumping to code. Ask clarifying questions about constraints, scale, and edge cases. Present multiple solution approaches with different complexity trade-offs before settling on one. Write clean, modular code that you could refactor if needed. Test edge cases thoroughly. When optimizing, explain the reasoning behind each optimization step. Be prepared to handle interviewer interruptions and feedback gracefully. If stuck, communicate your thinking and ask for hints rather than struggling silently. For Staff level, showing strong fundamentals and clear thinking matters more than raw speed.
Focus Topics
Handling Feedback and Mid-Interview Adjustments
Gracefully receiving interviewer feedback, understanding alternative perspectives, and adjusting approach if needed. Showing flexibility and coachability while maintaining confidence.
Practice Interview
Study Questions
Performance Optimization for Scale
Optimizing algorithms for different scale scenarios. Understanding how to handle edge cases at scale (large inputs, memory constraints). Discussing practical performance implications beyond Big-O notation.
Practice Interview
Study Questions
Complex Algorithm Implementation
Implementation of medium to hard algorithms involving multiple data structures, complex logic, or intricate state management. Handling problems that combine multiple algorithmic concepts (e.g., graphs + dynamic programming).
Practice Interview
Study Questions
Code Architecture and Maintainability
Writing code that's not just correct but well-structured, readable, and maintainable. Using clear variable names, appropriate abstraction levels, and logical organization. For Staff level, considering how code would need to evolve.
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Study Questions
Multi-Approach Solution Design
Ability to generate multiple solution approaches with different complexity characteristics. Brute force approach first, then progressively optimized approaches. Clear articulation of trade-offs: time vs. space, simplicity vs. performance, etc.
Practice Interview
Study Questions
Problem Analysis and Constraint Identification
Ability to deeply understand problem requirements, identify key constraints, and recognize patterns. Understanding what inputs are feasible, what optimizations matter most, and where trade-offs occur. For Staff level, distinguishing between constraints that matter and those that don't.
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Study Questions
Onsite - Coding Round 2
What to Expect
Second technical coding round during onsite, conducted by another senior Airbnb engineer. Similar format to Coding Round 1 (60 minutes, 1-2 problems) but potentially covering different problem categories or asking deeper optimization questions. This round provides a second data point on your coding ability and problem-solving skills. Different interviewers often focus on different aspects of problem-solving. For Staff level, this round may probe how you approach novel problems you haven't seen before, how you adapt your thinking, and how well you can explain advanced optimization techniques. You'll be expected to demonstrate consistent high-quality problem-solving across different problem types.
Tips & Advice
Treat this as an independent assessment, not a repetition of Round 1. Come in fresh and apply the same rigorous problem-solving process. Different interviewers may have different styles; adapt to their communication. If you solve the first problem efficiently, the interviewer may provide a harder variant or ask deeper questions about optimization. Stay calm and maintain your problem-solving discipline. Focus on clarity and correctness over speed. For Staff level, discussing trade-offs and design decisions is often valued more than just getting to a solution. If this round covers a different algorithmic domain than Round 1, it's okay to be a bit slower while thinking through unfamiliar territory.
Focus Topics
Technical Communication and Teaching
Explaining complex solutions in ways that help the interviewer understand your thinking. Walking through your code for someone who hasn't seen it before. For Staff level, this is also about your ability to teach others.
Practice Interview
Study Questions
Robustness and Error Handling
Comprehensive handling of edge cases and error conditions. Defensive programming practices. For Staff level, writing code that won't break under unexpected inputs or conditions.
Practice Interview
Study Questions
Solution Verification and Testing
Systematic approach to verifying solutions: walking through examples, testing boundary cases mentally, considering failure modes. For Staff level, thinking like a QA engineer about potential breakpoints.
Practice Interview
Study Questions
Advanced Optimization Techniques
Beyond basic optimization: advanced data structures (segment trees, fenwick trees, tries), advanced algorithm techniques (divide and conquer, NP-hard problem approximations), and understanding when optimizations have diminishing returns.
Practice Interview
Study Questions
Adaptive Problem-Solving Under Uncertainty
Handling novel or unfamiliar problem types confidently. Asking good clarifying questions when problem context is ambiguous. Iterating on solutions when initial approach isn't optimal. For Staff level, knowing when to pivot versus persist.
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Study Questions
Pattern Recognition Across Problem Domains
Ability to identify common algorithmic patterns across different problem types. Recognizing when graph problems need DFS/BFS, when problems are DP-suitable, when greedy works, etc. Applying successful techniques from one problem to another.
Practice Interview
Study Questions
Onsite - System Design
What to Expect
A 60-minute deep-dive into system architecture and design conducted by a senior or staff-level engineer. You'll be asked to design a scalable system similar to Airbnb's core services (e.g., property listing search, booking system, payments, messaging). The interviewer will present a problem, and you'll design a complete end-to-end system architecture considering scale, availability, consistency, and trade-offs. For Staff level, this round emphasizes strategic architectural thinking, understanding real-world constraints at Airbnb's scale, and ability to make informed design decisions with clear reasoning. You'll be expected to ask clarifying questions about scale, traffic patterns, consistency requirements, and business constraints. The focus is on your architectural judgment, ability to balance competing concerns, and understanding of distributed systems principles. This is a key round for Staff level assessment.
Tips & Advice
Start by asking clarifying questions about scale (DAU, QPS, data volume), latency requirements, consistency needs, and business constraints before designing. Outline your high-level architecture first: client, API gateway, microservices, data layer, caching, messaging, etc. For each component, discuss trade-offs and justify choices. Consider both functional and non-functional requirements. Be prepared to dive deeper into specific components (database sharding strategy, caching logic, API design). Discuss monitoring, scaling strategies, and handling failures. For Staff level, think beyond obvious solutions and discuss sophisticated patterns: CQRS, event sourcing, eventual consistency, etc. Show knowledge of technologies (databases, caches, queues, frameworks) but emphasize principles over specific products. Be ready to handle follow-up challenges like adding new requirements or handling failures gracefully.
Focus Topics
Business Context and Strategic Thinking
Understanding business drivers behind technical requirements. Recognizing when technical perfection must yield to business timelines. For Staff level, making architectural decisions that serve long-term business goals while remaining pragmatic.
Practice Interview
Study Questions
API Design and Data Modeling
Designing RESTful or gRPC APIs that are intuitive, versioning-friendly, and performant. Database schema design considering queries, indexing, and growth. For Staff level, considering API evolution and backward compatibility.
Practice Interview
Study Questions
Technology Stack and Component Selection
Knowledge of appropriate technologies for different system components: databases (SQL, NoSQL), caching layers, message queues, API frameworks, etc. Understanding trade-offs between options. Familiarity with Airbnb's actual technology stack where possible.
Practice Interview
Study Questions
Monitoring, Observability, and Operational Excellence
Incorporating monitoring, logging, and alerting into system design. Understanding how to debug production issues. For Staff level, designing systems that are operationally excellent and understandable to future maintainers.
Practice Interview
Study Questions
Scalability and Distributed System Principles
Understanding how to scale systems to handle Airbnb-level traffic. Knowledge of sharding, partitioning, replication, load balancing, and caching strategies. Understanding horizontal vs. vertical scaling trade-offs. For Staff level, applying these principles to complex, multi-layered systems.
Practice Interview
Study Questions
High Availability and Fault Tolerance
Designing systems that continue operating despite failures. Understanding redundancy, failover strategies, eventual consistency, and graceful degradation. For Staff level, reasoning about failure modes and mitigation strategies comprehensively.
Practice Interview
Study Questions
Data Consistency Models and Trade-offs
Understanding different consistency models (strong, eventual, causal, etc.) and when each is appropriate. CAP theorem and practical implications. Handling consistency in distributed systems. For Staff level, knowing when to accept consistency trade-offs vs. when to insist on strong consistency.
Practice Interview
Study Questions
Onsite - Code Review
What to Expect
A 60-minute round where you review real code (either pseudo-code or simplified production code) and provide feedback. This round evaluates your ability to critique code constructively, identify issues, suggest improvements, and communicate feedback clearly. For Staff level, this is critical as senior engineers spend significant time reviewing others' code. The interview tests your understanding of code quality principles, best practices, architectural thinking, and your ability to improve code while maintaining the original intent. You'll be asked to identify bugs, suggest optimizations, evaluate architectural choices, and discuss trade-offs. For Staff level, interviewers assess whether you elevate team code quality through thoughtful, constructive reviews. Your feedback style and ability to explain reasoning matters as much as finding issues.
Tips & Advice
Approach the code systematically: first understand what it's trying to do, then evaluate correctness, then consider design and optimization. Distinguish between critical issues (correctness, security, performance at scale) and style preferences. Be constructive and respectful in feedback, framing suggestions as improvements rather than criticism. For Staff level, discuss trade-offs in code design rather than just pointing out problems. Explain why certain patterns are better in given contexts. Ask clarifying questions if code intent is unclear. Consider maintainability and testability, not just correctness. Discuss how the code fits into a larger system. Show that you understand different perspectives and that code review is collaborative. Prioritize feedback impact: focus on high-impact improvements.
Focus Topics
Trade-off Analysis and Strategic Thinking
Recognizing when code represents deliberate trade-offs (pragmatism vs. perfection, features vs. performance, etc.). For Staff level, discussing whether trade-offs are appropriate given context.
Practice Interview
Study Questions
Architectural and Design Pattern Evaluation
Assessing whether architectural choices are sound, patterns are applied appropriately, and designs follow best practices. Suggesting architectural improvements where applicable. For Staff level, discussing architectural trade-offs thoughtfully.
Practice Interview
Study Questions
Testing and Testability
Evaluating test coverage, test quality, and testability of code. Suggesting improvements to make code easier to test. For Staff level, discussing testing strategy and confidence level provided by tests.
Practice Interview
Study Questions
Code Quality and Maintainability
Evaluating clarity, readability, naming conventions, modularity, and adherence to style guides. Suggesting improvements to make code easier to maintain and understand. For Staff level, considering future engineers' perspective when reading this code.
Practice Interview
Study Questions
Correctness and Bug Identification
Ability to identify bugs, logic errors, off-by-one errors, race conditions, and edge case failures. Understanding code flow and spotting subtle issues. For Staff level, identifying problems that only manifest under specific conditions or scale.
Practice Interview
Study Questions
Constructive Feedback Communication
Delivering feedback that improves code without demoralizing the author. Explaining reasoning behind suggestions. For Staff level, teaching through code review rather than just criticizing.
Practice Interview
Study Questions
Performance and Optimization Review
Identifying performance issues: inefficient algorithms, N+1 queries, unnecessary allocations, poor caching strategies. Suggesting optimizations with clear reasoning. For Staff level, understanding performance implications at production scale.
Practice Interview
Study Questions
Onsite - Behavioral and Leadership
What to Expect
Final 60-minute round assessing cultural fit, leadership capabilities, teamwork, and alignment with Airbnb's values. Conducted by senior engineers or engineering managers. This round explores your past experiences, how you handle challenges, your leadership style, mentoring approach, and how you embody Airbnb's values like 'Belong Anywhere' and 'Be a Host.' For Staff level, focus is on cross-functional influence, strategic thinking, how you've grown engineers, driven technical initiatives, and handled complex interpersonal situations. You'll be asked situational questions about conflicts, failures, successes, and how you approach ambiguous problems. Interviewers assess whether you can work effectively across the organization, handle ambiguity, and elevate team capability. This round evaluates cultural fit and whether you'll thrive in Airbnb's collaborative environment.
Tips & Advice
Prepare stories using the STAR method (Situation, Task, Action, Result) that demonstrate Staff-level qualities: technical leadership, mentoring, cross-functional collaboration, handling failures productively, and driving significant projects. Choose stories from different phases of your career showing progression toward Staff level impact. Prepare for questions about conflicts you've resolved, mistakes you've learned from, and how you've influenced teams beyond direct authority. Research Airbnb's values and give examples of how you embody similar principles. Be authentic and humble; acknowledge failures and what you learned. Ask thoughtful questions about team culture, values, and how technical excellence is recognized. For Staff level, discuss your philosophy on mentoring, code quality, and engineering excellence. Talk about how you've scaled your impact as you've grown. Show genuine interest in Airbnb's mission.
Focus Topics
Alignment with Airbnb Values
Understanding and embodiment of Airbnb's core values: Belong Anywhere, Be a Host, Champion the Host, Every Frame a Painting. Concrete examples of how you've demonstrated these values or similar principles in your work and interactions.
Practice Interview
Study Questions
Handling Ambiguity and Complex Tradeoffs
Stories about navigating unclear requirements, conflicting priorities, or complex technical/business trade-offs. How you gather information, involve stakeholders, and make decisions. For Staff level, handling situations where there's no clear right answer.
Practice Interview
Study Questions
Learning from Failure and Continuous Improvement
Honest discussion of a significant failure: what went wrong, what you learned, and how you've applied those lessons. Stories showing resilience and growth mindset. For Staff level, learning from failures that affected systems or teams.
Practice Interview
Study Questions
Communication and Executive Presence
Ability to communicate technical concepts clearly to non-technical stakeholders. Presence and poise in high-stakes discussions. For Staff level, influencing through clear communication and thoughtful arguments.
Practice Interview
Study Questions
Cross-Functional Collaboration and Influence
Examples of working effectively with product, design, data science, and operations teams. Stories of influencing technical decisions through collaboration rather than authority. For Staff level, examples of driving organizational improvements across teams.
Practice Interview
Study Questions
Technical Leadership and Ownership
Examples of driving significant technical projects end-to-end. Taking ownership beyond individual code contributions. Defining architectural direction, making technical decisions, and being accountable for outcomes. For Staff level, stories showing how you've shaped technical direction of teams or organizations.
Practice Interview
Study Questions
Mentoring and Team Growth
Concrete examples of how you've grown other engineers: junior engineers you've mentored, career progression you've influenced, skills you've taught. Stories showing patience, clear communication, and genuine investment in others' growth.
Practice Interview
Study Questions
Frequently Asked Software Engineer Interview Questions
Sample Answer
def popcount_naive(n: int) -> int:
# assume 0 <= n < 2**64
count = 0
for i in range(64):
if (n >> i) & 1:
count += 1
return count
def popcount_kernighan(n: int) -> int:
count = 0
while n:
n &= n - 1 # clear lowest set bit
count += 1
return count
# builtin (Python 3.8+)
def popcount_builtin(n: int) -> int:
return n.bit_count()#include <cstdint>
int popcount_naive(uint64_t n) {
int count = 0;
for (int i = 0; i < 64; ++i) {
if ((n >> i) & 1ULL) ++count;
}
return count;
}
int popcount_kernighan(uint64_t n) {
int count = 0;
while (n) {
n &= n - 1;
++count;
}
return count;
}
// builtin (GCC/Clang)
int popcount_builtin(uint64_t n) {
return __builtin_popcountll(n);
}Sample Answer
Sample Answer
// measure map lookup overhead with string keys
auto now = []{ return std::chrono::steady_clock::now(); };
std::unordered_map<std::string,int> m;
for (auto &s: keys) m.emplace(s,1);
auto t0 = now();
for (int i=0;i<N;i++){
volatile int v = m.find(keys[i%keys.size()])->second;
}
auto t1 = now();
std::cout << std::chrono::duration_cast<std::chrono::microseconds>(t1-t0).count();Sample Answer
public class BoundedQueue<T> {
private final Object lock = new Object();
private final Object[] buf;
private int head = 0, tail = 0, count = 0;
private volatile boolean shutdown = false;
public BoundedQueue(int capacity) {
if (capacity <= 0) throw new IllegalArgumentException("capacity>0");
buf = new Object[capacity];
}
public void shutdown() {
shutdown = true;
synchronized (lock) {
lock.notifyAll(); // unblock waiters
}
}
public void enqueue(T item, long timeoutMillis) throws InterruptedException {
if (item == null) throw new NullPointerException();
long deadline = timeoutMillis <= 0 ? 0 : System.currentTimeMillis() + timeoutMillis;
synchronized (lock) {
while (count == buf.length && !shutdown) {
if (timeoutMillis <= 0) lock.wait();
else {
long now = System.currentTimeMillis();
long wait = deadline - now;
if (wait <= 0) throw new IllegalStateException("enqueue timed out");
lock.wait(wait);
}
}
if (shutdown) throw new IllegalStateException("queue shutdown");
buf[tail] = item;
tail = (tail + 1) % buf.length;
count++;
lock.notifyAll();
}
}
@SuppressWarnings("unchecked")
public T dequeue(long timeoutMillis) throws InterruptedException {
long deadline = timeoutMillis <= 0 ? 0 : System.currentTimeMillis() + timeoutMillis;
synchronized (lock) {
while (count == 0 && !shutdown) {
if (timeoutMillis <= 0) lock.wait();
else {
long now = System.currentTimeMillis();
long wait = deadline - now;
if (wait <= 0) throw new IllegalStateException("dequeue timed out");
lock.wait(wait);
}
}
if (count == 0 && shutdown) throw new IllegalStateException("queue shutdown");
@SuppressWarnings("unchecked")
T item = (T) buf[head];
buf[head] = null;
head = (head + 1) % buf.length;
count--;
lock.notifyAll();
return item;
}
}
}Sample Answer
// reservoirSampling(stream, k) -> Promise<Array>
async function reservoirSampling(stream, k) {
if (k <= 0) return [];
const reservoir = [];
let i = 0;
const pushItem = (item) => {
if (i < k) {
reservoir.push(item);
} else {
// random integer in [0, i]
const j = Math.floor(Math.random() * (i + 1));
if (j < k) reservoir[j] = item;
}
i++;
};
if (stream[Symbol.asyncIterator]) {
for await (const item of stream) pushItem(item);
} else if (stream[Symbol.iterator]) {
for (const item of stream) pushItem(item);
} else {
throw new TypeError('stream must be iterable or async iterable');
}
// If fewer than k items were seen, reservoir contains all seen items
return reservoir;
}Sample Answer
def first_occurrence(nums, target):
"""
Return index of first occurrence of target in sorted nums, or -1.
"""
l, r = 0, len(nums) - 1
result = -1
while l <= r: # invariant: target in [l, r] if present
mid = l + (r - l) // 2
if nums[mid] < target:
l = mid + 1
else:
if nums[mid] == target:
result = mid
r = mid - 1 # move left to find earlier instance
return resultSample Answer
Sample Answer
Sample Answer
Sample Answer
public class LRUCache<K,V> {
private final int capacity;
private final Map<K, Node<K,V>> map;
private Node<K,V> head, tail;
private static class Node<K,V> {
K key; V value;
Node<K,V> prev, next;
Node(K k, V v){ key=k; value=v; }
}
public LRUCache(int capacity){
this.capacity = capacity;
this.map = new HashMap<>(capacity*2);
}
public V get(K key){
Node<K,V> n = map.get(key);
if(n==null) return null;
moveToHead(n);
return n.value;
}
public void put(K key, V value){
Node<K,V> n = map.get(key);
if(n!=null){ n.value = value; moveToHead(n); return; }
n = new Node<>(key,value);
map.put(key,n);
addToHead(n);
if(map.size() > capacity) {
map.remove(tail.key);
removeTail();
}
}
// helper methods: addToHead, moveToHead, removeNode, removeTail (omitted for brevity)
}Recommended Additional Resources
- LeetCode Premium - Practice 25-30 medium to hard problems focusing on arrays, strings, trees, graphs, and dynamic programming
- System Design Interview by Alex Xu - Comprehensive guide to system design patterns, scalability, and architectural thinking
- Designing Data-Intensive Applications by Martin Kleppmann - Deep dive into distributed systems, consistency models, and scalability principles
- The System Design Primer on GitHub - Open-source resource covering system design concepts with practical examples
- Airbnb Engineering Blog - Follow their technical posts to understand their technology stack and architectural challenges
- Levels.fyi and Blind - Research interview experiences from other Airbnb candidates to understand recent question trends
- Grokking the System Design Interview on Educative - Structured system design learning with interactive problems
- FAANG Interview Resources - Mock interview practice with experienced engineers from top tech companies
- Clean Code by Robert Martin - Essential reading for understanding code quality principles you'll apply in code reviews
- The Art of Computer Programming by Donald Knuth - Reference for algorithm depth (advanced preparation)
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This comprehensive guide will provide you with insights into Airbnb's interview process, the essential skills required, and strategies to help you excel.
This interview preparation guide was generated using AI-powered research from the sources listed above. While we strive for accuracy, we recommend verifying critical information from official company sources.
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