Staff Level Software Engineer Interview Preparation Guide (FAANG Standards)
This guide is based on general FAANG interview practices and may not reflect specific company procedures.
The Staff-level software engineer interview process at FAANG companies is comprehensive and rigorous, designed to evaluate not just coding proficiency but architectural thinking, leadership capability, and strategic influence. The process typically consists of 8 rounds spanning 8-12 weeks, beginning with a recruiter screen and progressing through multiple technical rounds (coding and advanced system design), behavioral evaluation, and hiring manager assessment. Staff-level candidates are expected to demonstrate mastery of software engineering fundamentals, expertise in designing scalable distributed systems, technical leadership through mentorship and code reviews, and alignment with company engineering culture. The interview loop evaluates candidates on deep technical knowledge, architectural decision-making, cross-functional impact, and ability to influence engineering direction.
Interview Rounds
Recruiter Screen
What to Expect
Your initial conversation with a recruiter is designed to validate your background, qualifications, and career trajectory. For Staff-level positions, recruiters assess your experience level, technical accomplishments, leadership contributions, and cultural alignment. This is a key opportunity to establish your narrative: what major projects have you led, what scale have you operated at, and how have you influenced engineering culture? The recruiter will also discuss role expectations, team structure, and answer preliminary questions you have about the company and position.
Tips & Advice
Prepare a concise career narrative highlighting staff-level accomplishments (major system architectures you've designed, teams you've led, technical initiatives that drove impact). Clearly articulate why you're interested in this specific role at this stage of your career. Ask thoughtful questions about the team's engineering challenges, technical direction, and growth opportunities—this shows you're thinking strategically. Be honest about your background and accomplishments; exaggeration will surface immediately in technical rounds.
Focus Topics
Leadership and Mentorship Experience
Articulate your experience mentoring junior and mid-level engineers, conducting code reviews at scale, and contributing to technical hiring and onboarding. Discuss how you've helped engineers grow and promoted a culture of technical excellence.
Practice Interview
Study Questions
Motivation and Role Fit
Clearly articulate why this specific role, team, and company align with your career goals at this stage. Go beyond 'interesting work'—discuss what problems excite you, what kind of team environment you thrive in, and how your expertise matches the role's needs.
Practice Interview
Study Questions
Career Narrative and Impact
Develop a compelling story of your career progression to Staff level, emphasizing growth in technical depth, breadth, and influence. Highlight 2-3 major projects where you made significant architectural decisions, led large technical initiatives, or drove engineering practices adoption. Show progression from individual contributor to someone who influences across teams.
Practice Interview
Study Questions
Technical Phone Screen - Coding
What to Expect
This 45-60 minute live coding session via CoderPad/similar platform tests your foundational algorithmic problem-solving ability. You'll typically solve 1-2 medium-to-hard problems in your language of choice. Unlike junior levels, Staff interviewers expect not just correct solutions but elegant, well-explained code with attention to edge cases and optimization. The focus is on your problem-solving approach, communication clarity, and ability to discuss trade-offs. Many problems will have follow-up questions asking for optimization, alternative approaches, or how you'd extend the solution.
Tips & Advice
Choose your preferred language and be expert-level proficient in it—no syntax errors or hesitation. Read problems carefully and ask clarifying questions before coding. Walk through your approach verbally before implementing. Write clean, well-structured code with meaningful variable names. Test edge cases manually as you code. If you get stuck, explain your thinking process and explore approaches aloud—interviewers value your problem-solving methodology over a perfect solution. For follow-ups, discuss multiple solutions and trade-offs (time complexity vs. space complexity, readability vs. optimization, etc.).
Focus Topics
Code Communication and Trade-offs
Ability to articulate your approach clearly, explain why you chose specific structures or algorithms, and discuss trade-offs (simplicity vs. performance, readability vs. optimization, time vs. space). Talk through your reasoning as you code so the interviewer can follow your thought process.
Practice Interview
Study Questions
Edge Case and Testing Awareness
Proactively identify edge cases (empty inputs, single elements, duplicates, negative numbers, overflow, etc.) without prompting. Think like a tester and consider how your solution might break. Validate assumptions and test mentally as you code.
Practice Interview
Study Questions
Problem Decomposition
Ability to break complex problems into manageable subproblems, identify core algorithmic patterns, and build solutions incrementally. For Staff candidates, show how you'd scale solutions or extend them for edge cases.
Practice Interview
Study Questions
Algorithm Design and Analysis
Master sorting, searching, dynamic programming, recursion, backtracking, greedy algorithms, graph algorithms (BFS, DFS, shortest paths, topological sort), string algorithms. Understand Big-O analysis deeply and can discuss why a solution achieves certain complexity. For Staff level, think about scalability and how algorithms behave at large scale.
Practice Interview
Study Questions
Data Structures Mastery
Deep knowledge of arrays, linked lists, trees (binary, BST, balanced), graphs, hash tables, heaps, stacks, queues. Understand time/space complexity of operations, when to use each structure, and how they interact in complex systems. At Staff level, you should see how data structures apply to real system problems (e.g., consistent hashing for distributed systems, B-trees for databases).
Practice Interview
Study Questions
On-site Round 1: Algorithm & Data Structures Deep Dive
What to Expect
In this 60-minute on-site round, you'll solve hard algorithmic problems that may test multiple topics or require deep optimization. This round is conducted by a senior engineer (often Staff or principal level) and goes deeper than the phone screen. Expect problems that require not just a working solution but thoughtful optimization, consideration of multiple approaches, and discussion of real-world constraints. You may be asked to code on a whiteboard or use a laptop. The emphasis is on your depth of algorithmic knowledge and your ability to reason about correctness and efficiency rigorously.
Tips & Advice
This is your chance to show mastery of algorithms and data structures. Don't rush to code—spend time understanding the problem fully and designing your approach. For hard problems, there's usually a pattern or insight that unlocks efficiency; take time to find it. After proposing a solution, discuss why it works, analyze complexity, and proactively suggest optimizations. Be comfortable discussing multiple approaches with their trade-offs. If you run into trouble, think aloud and ask for hints—interviewers appreciate your problem-solving process. Be ready to modify your solution based on follow-up constraints (e.g., memory limit, real-time requirements).
Focus Topics
Bit Manipulation and Math
Bit operations, number theory, combinatorics basics. Problems that require creative approaches using bit manipulation, modular arithmetic, or mathematical insight.
Practice Interview
Study Questions
String Algorithms and Pattern Matching
Pattern matching algorithms (KMP, Rabin-Karp, suffix arrays), string manipulation, parsing. Understand the algorithms' efficiency and when to apply them. Knowledge of suffix structures useful for Staff-level work with logs, text search, and data analysis.
Practice Interview
Study Questions
Optimization and Complexity Analysis
Deep understanding of asymptotic analysis, Big-O/Big-Omega/Big-Theta notation. Ability to analyze complex algorithms and prove their correctness. Understand space-time trade-offs and how to optimize solutions. For Staff level, think about optimization in production contexts (cache efficiency, memory locality, parallelization potential).
Practice Interview
Study Questions
Advanced Dynamic Programming
Complex DP problems involving multi-dimensional states, optimization, or state compression. Understand memoization vs. tabulation, how to define states correctly, and optimization techniques. At Staff level, think about how DP patterns apply to system optimization (caching strategies, load optimization, resource allocation).
Practice Interview
Study Questions
Graph Algorithms and Tree Problems
Complex graph traversal, shortest path algorithms (Dijkstra, Bellman-Ford), minimum spanning trees, topological sorting, cycle detection, union-find. Tree problems involving complex traversals, serialization, or optimization. Understand when to apply each algorithm and their complexity characteristics.
Practice Interview
Study Questions
On-site Round 2: System Design - Core Concepts
What to Expect
This 60-minute interview evaluates your ability to design scalable, reliable systems from high-level requirements. You'll typically be given an ambiguous requirement (e.g., 'design Instagram', 'design a URL shortener', 'design a chat system') and asked to design the system end-to-end. This round focuses on your ability to ask clarifying questions, make reasonable assumptions, estimate scale, define APIs, choose appropriate storage and caching strategies, and discuss trade-offs. You're expected to think about scalability, availability, consistency, and operational concerns. Your approach and communication matter as much as the final design.
Tips & Advice
Start by asking clarifying questions about requirements, scale, and constraints (users, QPS, data size, latency requirements, consistency needs). State your assumptions explicitly. Propose a high-level architecture early, then dive into specific components. For each component (storage, caching, load balancing, messaging), discuss options and trade-offs. Estimate capacity requirements (servers needed, storage, bandwidth). Be ready to drill deep into any component—if asked about database choice, explain sharding strategy; if asked about caching, discuss invalidation and consistency. Discuss scaling bottlenecks and how to address them. Think about operation concerns: monitoring, alerting, disaster recovery. At Staff level, interviewers expect systems thinking—understanding how components interact, cascade failures, and mitigation strategies.
Focus Topics
Load Balancing and API Design
Load balancing strategies (round-robin, least-loaded, hash-based), geographic distribution, API design principles (versioning, rate limiting, pagination). Understanding how to distribute traffic and design APIs for scale and usability.
Practice Interview
Study Questions
Reliability and Fault Tolerance
Redundancy, failover mechanisms, circuit breakers, retry strategies, graceful degradation, disaster recovery planning. Understanding how systems remain reliable despite component failures.
Practice Interview
Study Questions
Caching Strategies and Consistency
Caching layers (in-memory caches like Redis/Memcached), cache invalidation strategies (TTL, LRU, write-through, write-behind), consistency between cache and database, cache stampede prevention. Understanding when caching helps vs. complicates systems.
Practice Interview
Study Questions
Data Storage and Database Design
Understanding SQL vs. NoSQL trade-offs, indexing strategies, schema design, data consistency models (ACID, BASE, eventual consistency), replication and sharding, query optimization. Knowledge of different database types: relational databases, document stores, key-value stores, search engines, time-series databases.
Practice Interview
Study Questions
Scalability and Performance Optimization
Understanding scalability constraints and optimization strategies: horizontal vs. vertical scaling, caching layers, read replicas, sharding strategies, CDN usage, rate limiting, and load distribution. Ability to estimate capacity (QPS, storage, bandwidth requirements) and design systems to handle expected scale without over-engineering.
Practice Interview
Study Questions
On-site Round 3: System Design - Advanced Architecture
What to Expect
This 60-minute interview explores your expertise in designing complex distributed systems with sophisticated requirements. You might be asked to design a system with specific constraints (e.g., design a system with sub-10ms latency, design a distributed database, design a real-time analytics pipeline). This round tests deeper architectural thinking, knowledge of advanced technologies, and your ability to handle sophisticated trade-offs. You're expected to discuss non-functional requirements like latency, throughput, consistency models, and operational considerations. Interviewers may probe your knowledge of specific architectural patterns (microservices, event-driven, CQRS, etc.) or specific technologies (Kafka, Cassandra, Spark, etc.) relevant to the problem.
Tips & Advice
This round builds on system design fundamentals but expects deeper expertise. Be ready to discuss sophisticated trade-offs: consistency vs. availability vs. partition tolerance (CAP theorem), strong vs. eventual consistency, synchronous vs. asynchronous communication. Know specific technologies beyond the basics—for a distributed system, discuss Raft or Paxos for consensus; for analytics, discuss batch vs. stream processing trade-offs. Think about operational aspects: monitoring, alerting, debugging in distributed systems, capacity planning. Be comfortable discussing your experience with similar systems. If you don't know something, admit it but show you understand the problem space. At Staff level, interviewers want to see that you've thought deeply about architecture and can make principled decisions.
Focus Topics
Advanced Caching and Data Pipeline Design
Distributed caching, cache coherency, specialized stores (search engines, column stores, time-series databases). Data pipeline architecture: batch processing, stream processing, ETL design. Understanding Lambda and Kappa architectures.
Practice Interview
Study Questions
Observability and Operational Concerns
Monitoring, metrics, logging, tracing, alerting in distributed systems. Understanding how to design systems that are observable and debuggable. Discussing SLAs, SLOs, and error budgets. Capacity planning and cost optimization.
Practice Interview
Study Questions
Message Queues and Event-Driven Architecture
Asynchronous communication patterns, message queues (Kafka, RabbitMQ, SQS), event-driven architecture, event sourcing, CQRS pattern. Understanding when to use async vs. sync communication and implications for system design.
Practice Interview
Study Questions
Microservices and Service-Oriented Architecture
Microservices patterns, service discovery, inter-service communication (REST, gRPC, message queues), API versioning, backward compatibility, monitoring and tracing across services. Understanding when microservices are beneficial vs. premature complexity.
Practice Interview
Study Questions
Distributed Systems Fundamentals
Core concepts: consistency models (strong, causal, eventual), availability vs. partition tolerance (CAP theorem), consensus algorithms (Raft, Paxos, Zookeeper), distributed transactions, synchronization and clock skew, Byzantine fault tolerance. Understanding these fundamentals is necessary for advanced system design.
Practice Interview
Study Questions
On-site Round 4: Technical Leadership and Code Quality
What to Expect
This 60-minute round evaluates your leadership capability as a Staff engineer. Rather than pure technical depth, this round assesses how you elevate the entire engineering organization. You'll discuss code review philosophy, how you've improved code quality at scale, your approach to technical debt and refactoring, how you ensure engineering best practices are followed, and how you've mentored engineers. You might be given a code snippet with issues and asked to provide feedback as if you were reviewing it. Alternatively, you might discuss a complex technical decision you made—not just what you chose, but why, how you got buy-in from others, and how you communicated it. This round values communication, judgment, and your ability to influence engineering culture.
Tips & Advice
Prepare concrete examples of code reviews you've given, architectural decisions you've made and convinced others to adopt, and technical initiatives you've led. Be ready to discuss your philosophy on code quality, testing, documentation, and technical debt. When reviewing code, think holistically: correctness, performance, readability, maintainability, testability, and alignment with company standards. Discuss how you've helped junior engineers improve. Show that you think about the long-term health of the codebase and team, not just immediate functionality. Demonstrate strong communication by explaining technical concepts clearly and considering different perspectives. For Staff level, interviewers want to see that you've scaled your impact through others.
Focus Topics
Technical Debt Management
Identifying technical debt, prioritizing refactoring efforts, making the business case for paying down debt, preventing new debt from accumulating. Understanding how to balance new features with maintaining system health. Using metrics (test coverage, code complexity, build time) to track code health.
Practice Interview
Study Questions
Architecture Decision Documentation and Communication
How to document architectural decisions (ADRs, design docs), communicate decisions across teams, get buy-in from stakeholders, and evolve decisions as requirements change. Ability to explain complex technical decisions to both engineers and non-technical stakeholders.
Practice Interview
Study Questions
Testing Strategy and Quality Assurance
Automated testing approaches: unit testing, integration testing, end-to-end testing, performance testing. Test coverage strategies and trade-offs. Debugging techniques for complex issues. How to ensure quality at scale. Understanding when to test and balance speed with thoroughness.
Practice Interview
Study Questions
Code Review Philosophy and Practice
Approach to effective code reviews: what to look for (correctness, design, complexity, testing, performance, maintainability, consistency), how to give constructive feedback, how to balance thoroughness with velocity. Understanding how to unblock reviewees and maintain team morale. Using code reviews as opportunities for mentoring and spreading knowledge.
Practice Interview
Study Questions
Clean Code and Best Practices
Principles from 'Clean Code': meaningful naming, small functions, DRY, SOLID principles, error handling, code formatting and style. Understanding language-specific idioms and conventions. Advocating for consistency across the codebase. Making trade-offs between theoretical perfection and pragmatism.
Practice Interview
Study Questions
On-site Round 5: Behavioral & Leadership Principles
What to Expect
This 60-minute behavioral interview evaluates how you embody the company's values and leadership principles. You'll discuss your experiences demonstrating leadership (ownership, driving impact, influencing others), collaboration across teams, how you handle ambiguity and make decisions, examples of learning and growth, and how you handle setbacks or conflicts. The focus is on your judgment, emotional intelligence, ability to influence without authority, and alignment with company culture. For Staff level, questions probe deeper into your strategic thinking, how you've influenced technical direction, and how you've contributed to company culture.
Tips & Advice
Prepare 6-8 strong examples using the STAR framework (Situation, Task, Action, Result) that showcase different facets of leadership. For Staff level, emphasize examples where you influenced others, drove change, built consensus, or made consequential decisions. Relate your examples to the company's stated values and principles. Be honest and reflective—discuss what you learned from failures, how you've grown, and how you adjust your approach. Show self-awareness about your strengths and development areas. Demonstrate how you've helped your team and organization succeed, not just individual accomplishments. Listen carefully to questions and answer them directly. Avoid sounding rehearsed; be authentic and conversational.
Focus Topics
Cross-functional Collaboration
Examples of working effectively with product managers, designers, operations teams, and other functions. How you balance engineering considerations with business needs. Discussing how you've built relationships across the organization.
Practice Interview
Study Questions
Innovation and Continuous Improvement
Examples of driving improvements or innovations: new processes, technologies, or practices you've introduced. How you stay current with technology trends. Examples of learning from failures and using them for improvement.
Practice Interview
Study Questions
Mentorship and Developing Others
Specific examples of mentoring or developing team members, from junior engineers to senior peers. Discussing how you've helped people grow, overcome challenges, and develop their skills. Examples of creating opportunities for others.
Practice Interview
Study Questions
Ownership and Accountability
Examples of taking end-to-end ownership of complex projects, making decisions with incomplete information, following through on commitments, and holding yourself accountable for outcomes. Discussing how you handle situations where things don't go as planned and how you take responsibility.
Practice Interview
Study Questions
Influence and Persuasion
Examples of convincing others to adopt your technical approach or decision when you didn't have direct authority. How you handle disagreement and build consensus. Discussing your approach to influencing stakeholders with different priorities (engineers, product, leadership).
Practice Interview
Study Questions
Hiring Manager Round
What to Expect
This 45-60 minute final round with the hiring manager is less about testing and more about alignment and discussion of expectations. The hiring manager wants to understand your motivations, what you're looking for in the role, how you see your contribution to the team, and whether there's mutual fit. This is your opportunity to ask detailed questions about the team's technical challenges, growth opportunities, and how you'd work with your manager. The tone is conversational, but the hiring manager is assessing whether you're truly excited about this role and whether they believe you'll succeed and stay. This is also where compensation and details are often discussed.
Tips & Advice
Go into this meeting with genuine enthusiasm for the role and thoughtful questions about the team, technical challenges, and vision. Ask about the team's culture, how success is measured, what challenges exist, and where the hiring manager sees growth opportunities. Discuss your career aspirations and how this role aligns with them. Be authentic about what you're looking for—what kind of problems excite you, what environment helps you do your best work. The hiring manager is also evaluating whether you'll be a good fit for the team and company culture, so let them see your genuine self. Be prepared to discuss expectations: What would success look like in the first 90 days? How does the team currently operate? What's the biggest challenge the team faces?
Focus Topics
Growth and Career Development
Understanding opportunities for growth in the role, how performance is evaluated, and what advancement looks like. Discussing what would make you successful and what support you'd have.
Practice Interview
Study Questions
Technical Vision and Direction
Understanding the team's technical priorities, architecture direction, and key initiatives. Discussing what excites the hiring manager about the technical work. Exploring how you could contribute to the team's technical strategy.
Practice Interview
Study Questions
Team and Organization Fit
Understanding the team composition, dynamics, and culture. How the team operates, communicates, and makes decisions. Understanding the broader organization and how your team fits in. Assessing whether the team culture and values align with yours.
Practice Interview
Study Questions
Role Clarity and Expectations
Understanding the specific responsibilities, team structure, reporting relationships, and how success is measured in this role. Discussing the technical challenges the team faces and what problems you'd focus on. Clarifying ambiguity about the role scope.
Practice Interview
Study Questions
Frequently Asked Software Engineer Interview Questions
Sample Answer
Sample Answer
Sample Answer
import java.util.concurrent.*;
import java.util.concurrent.atomic.*;
class LockFreeLRUCache<K,V> {
final int capacity;
final ConcurrentHashMap<K, Node> map = new ConcurrentHashMap<>();
final ConcurrentLinkedDeque<Node> deque = new ConcurrentLinkedDeque<>();
final AtomicInteger size = new AtomicInteger(0);
class Node {
final K key;
volatile V value;
final AtomicBoolean alive = new AtomicBoolean(true);
Node(K k, V v){ key=k; value=v; }
}
public V get(K key){
Node n = map.get(key);
if(n==null || !n.alive.get()) return null;
// refresh recency: append to tail
deque.addLast(n);
return n.value;
}
public void put(K key, V value){
Node newNode = new Node(key, value);
Node prev = map.put(key, newNode);
if(prev != null){
// mark previous dead; size unchanged
if(prev.alive.getAndSet(false)) {
// prev is logically removed from recency; new node becomes representative
}
} else {
size.incrementAndGet();
}
deque.addLast(newNode);
evictIfNeeded();
}
private void evictIfNeeded(){
while(size.get() > capacity){
Node candidate = deque.pollFirst(); // non-blocking
if(candidate==null) return;
if(!candidate.alive.get()) continue; // already replaced
// try to remove from map only if it's the same instance
boolean removed = map.remove(candidate.key, candidate);
if(removed){
candidate.alive.set(false);
size.decrementAndGet();
return;
}
// else someone replaced it concurrently; loop
}
}
}Sample Answer
class NumMatrix:
def __init__(self, matrix):
if not matrix or not matrix[0]:
self.P = [[0]]
return
n, m = len(matrix), len(matrix[0])
# P dimensions (n+1) x (m+1)
self.P = [[0]*(m+1) for _ in range(n+1)]
for i in range(n):
row_sum = 0
for j in range(m):
row_sum += matrix[i][j]
# P[i+1][j+1] = P[i][j+1] + row_sum
self.P[i+1][j+1] = self.P[i][j+1] + row_sum
def sumRegion(self, r1, c1, r2, c2):
# validate bounds if needed
return (self.P[r2+1][c2+1]
- self.P[r1][c2+1]
- self.P[r2+1][c1]
+ self.P[r1][c1])Sample Answer
Sample Answer
Sample Answer
def remove_duplicates(nums):
"""
Remove duplicates in-place from sorted list nums.
Returns new length. O(1) extra space.
"""
if not nums:
return 0
write = 1 # index to write the next unique element
for read in range(1, len(nums)):
if nums[read] != nums[write - 1]:
nums[write] = nums[read]
write += 1
return write
# Example:
# nums = [1,1,2]
# new_len = remove_duplicates(nums) # new_len == 2, nums[:2] == [1,2]def remove_k_duplicates(nums, k):
if k <= 0:
return 0
write = 0
for read in range(len(nums)):
if write < k or nums[read] != nums[write - k]:
nums[write] = nums[read]
write += 1
return writeSample Answer
Sample Answer
import sys
sys.setrecursionlimit(1000000)
def reroot_mis(n, edges):
g = [[] for _ in range(n)]
for u,v in edges:
g[u].append(v); g[v].append(u)
parent = [-1]*n
order = []
# build parent and order (postorder)
stack = [0]
parent[0] = -2
while stack:
v = stack.pop()
order.append(v)
for w in g[v]:
if parent[w] == -1:
parent[w] = v
stack.append(w)
# dp_sub[v] = (exclude, include)
dp_ex = [0]*n
dp_in = [0]*n
for v in reversed(order):
inc = 1 # include v
exc = 0 # exclude v
for w in g[v]:
if w == parent[v]: continue
inc += dp_ex[w] # if v included, children must be excluded
exc += max(dp_ex[w], dp_in[w]) # if v excluded, child may choose best
dp_in[v] = inc
dp_ex[v] = exc
# Now reroot: compute ans[v] = best MIS for whole tree when rooted at v
ans = [0]*n
# We'll do a DFS from root 0, passing contribution from parent as (par_ex, par_in)
# For each node v, combine contributions from all neighbors:
def dfs_reroot(v, p, up_ex, up_in):
# up_ex/up_in are contributions from parent-side subtree treated as a child
# Combine all children contributions including parent-side into arrays
children = [w for w in g[v] if w != p]
m = len(children)
# For each child w, we need pair (dp_ex[w], dp_in[w])
left_exc = [0]*(m+1) # prefix for exclude-case
left_inc = [0]*(m+1) # prefix for include-case
for i,w in enumerate(children):
left_inc[i+1] = left_inc[i] + dp_ex[w]
left_exc[i+1] = left_exc[i] + max(dp_ex[w], dp_in[w])
right_inc = [0]*(m+1)
right_exc = [0]*(m+1)
for i in range(m-1, -1, -1):
w = children[i]
right_inc[i] = right_inc[i+1] + dp_ex[w]
right_exc[i] = right_exc[i+1] + max(dp_ex[w], dp_in[w])
# total excluding v: combine all children and parent-side (up contributes as a child)
total_ex = left_exc[m] + max(up_ex, up_in)
total_in = left_inc[m] + 1 + 0 # include v: children must be excluded; parent-side must be excluded
# but parent-side if present must be excluded -> add up_ex
total_in = (left_inc[m] + 1) + up_ex
ans[v] = max(total_ex, total_in)
# Now propagate to each child: compute up_ex_child and up_in_child for child w
for i,w in enumerate(children):
# contributions from other children (excluding w)
other_inc = left_inc[i] + right_inc[i+1]
other_exc = left_exc[i] + right_exc[i+1]
# treat v as the "parent-side" subtree for child w:
# if v is excluded in child view, v excluded best = max(other_exc, max(up_ex,up_in) + other from siblings)
up_ex_w = other_exc + max(up_ex, up_in)
# if v is included in child's view (i.e., v included), v contributes 1 and its other children must be excluded,
# and parent-side must be excluded:
up_in_w = 1 + other_inc + up_ex
dfs_reroot(w, v, up_ex_w, up_in_w)
# start reroot dfs with parent-side zero (no nodes): up_ex=0 (parent excluded), up_in=-inf (cannot include non-existent parent)
NEG = -10**9
dfs_reroot(0, -1, 0, NEG)
return ans
# Example usage:
# n=5, edges = [(0,1),(1,2),(1,3),(3,4)]
# print(reroot_mis(n, edges))Sample Answer
class Node:
def __init__(self, ch):
self.ch = ch
self.left = None
self.mid = None
self.right = None
self.is_word = False
class TernarySearchTree:
def __init__(self):
self.root = None
def insert(self, word):
if not word: return
self.root = self._insert(self.root, word, 0)
def _insert(self, node, word, i):
ch = word[i]
if node is None:
node = Node(ch)
if ch < node.ch:
node.left = self._insert(node.left, word, i)
elif ch > node.ch:
node.right = self._insert(node.right, word, i)
else:
if i + 1 == len(word):
node.is_word = True
else:
node.mid = self._insert(node.mid, word, i + 1)
return node
def search(self, word):
if not word: return False
node = self._search(self.root, word, 0)
return bool(node and node.is_word)
def _search(self, node, word, i):
if node is None: return None
ch = word[i]
if ch < node.ch:
return self._search(node.left, word, i)
elif ch > node.ch:
return self._search(node.right, word, i)
else:
if i + 1 == len(word):
return node
return self._search(node.mid, word, i + 1)
def traverse_prefix(self, prefix):
if not prefix: return []
node = self._search(self.root, prefix, 0)
results = []
if node is None: return results
# if prefix itself is a word
if node.is_word and len(prefix) == 1 and node.ch == prefix[0]:
results.append(prefix)
# collect from mid subtree (if prefix ended exactly at node)
self._collect(node.mid, prefix, results)
return results
def _collect(self, node, path, results):
if node is None: return
self._collect(node.left, path, results)
new_path = path + node.ch
if node.is_word:
results.append(new_path)
self._collect(node.mid, new_path, results)
self._collect(node.right, path, results)Recommended Additional Resources
- Cracking the Coding Interview by Gayle Laakmann McDowell - Comprehensive guide for technical interview preparation
- System Design Interview by Alex Xu - Detailed system design interview preparation with real examples
- Designing Data-Intensive Applications by Martin Kleppmann - Deep dive into distributed systems, databases, and scalability
- LeetCode - Platform for coding interview practice with thousands of problems categorized by difficulty and topic
- System Design Primer (github.com/donnemartin/system-design-primer) - Free resource covering scalability, system design principles, and distributed systems
- AWS Well-Architected Framework - Understanding cloud architecture patterns and best practices
- Clean Code by Robert C. Martin - Essential reading on code quality and best practices
- The Pragmatic Programmer by David Thomas and Andrew Hunt - Practical wisdom for software development
- Designing Machine Learning Systems by Chip Huyen - For staff engineers working with ML systems
- Building Secure and Reliable Systems by Heidi Adkins and Betsy Beyer (Google) - Production operations and reliability
- HackerRank, CodeSignal - Platforms for algorithmic practice and assessment
- Pramp (pramp.com) - Platform for practicing technical interviews with real people
- Interview.io - Anonymous technical mock interviews to get feedback from professional engineers
Search Results
Amazon Software Engineer Interview Guide (2025) – Process + ...
Get ready for the Amazon software engineer interview with this in-depth guide. Learn the 2025 hiring process, coding questions, system design tips, ...
Top 50+ Software Engineering Interview Questions and Answers
Alpha testing involves both white box and black box testing. Beta testing commonly uses black-box testing. Alpha testing is performed by testers who are usually ...
Meta Software Engineer Interview (questions, process, prep)
Ace the Meta software engineer interviews with this preparation guide. See updates to the interview process, example coding interview questions and ...
OpenAI Software Engineer Interview Guide: Process, Questions, and ...
OpenAI Software Engineer Interview Guide reveals candidate patterns and practical prep for algorithms, system design, ML rounds, and team-fit interviews.
Uber Software Engineer Interview Guide - Educative.io
The Uber software engineer interview process consists of four rounds: phone screening, on-site interviews, take-home assessments (if required), and a ...
Formation
Read about the interviews you'll be prepared for → Get unlimited mock interviews, mentorship and coaching amongst a network of senior and staff-level mentors ...
Software and Tech Interview Questions - HireCade
Explore crowdsourced interview questions for software engineering, tech roles, startups, banking, and consulting. Prepare with real-world examples, ...
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.
Want to create your own tailored preparation guide using our deep research?
Get Started for FreeInterview-Ready Courses
Visual-first, interactive, structured learning paths
Browse Software Engineer jobs
AI-enriched listings across hundreds of company career pages
Explore Jobs