Novo curso: Como conseguir vagas remotas em empresas que pagam $120k+/ano
NaGringa
Guia da empresa

Como se preparar para entrevistas na LinkedIn

Reunimos aqui as perguntas públicas já associadas à LinkedIn para te ajudar a estudar com mais contexto, entender o tipo de cobrança e priorizar melhor sua preparação.

Perguntas reais

Use este recorte para sair do estudo genérico e praticar com exemplos que já apareceram em processos reais.

Foco de preparação

Veja rapidamente quais tipos de pergunta aparecem mais e organize seu treino com mais intenção.

Próximos comparativos

Depois de estudar esta empresa, compare com empresas parecidas para evitar preparação estreita demais.

Perguntas de entrevistas da empresa

O que já apareceu em processos da LinkedIn

Use esta página como ponto de partida para estudar a empresa. O ideal é praticar essas perguntas e depois expandir para variações parecidas.

DoorDash
Meta
Salesforce
Amazon
+15
BehavioralMid-level

Tell me about a time you had a conflict with a coworker. How did you resolve it?

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

19 empresas
Ver detalhes
Meta
DoorDash
LinkedIn
Wise
+14
BehavioralMid-level

What project are you most proud of?

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

18 empresas
Ver detalhes
Robinhood
DoorDash
NVIDIA
Okta
+10
System DesignSenior

Design a Job Scheduler

Design a distributed job scheduler that can handle high-throughput job processing (10,000+ jobs per second), support both scheduled (cron-based) and ad-hoc job execution, include retry mechanisms for failed jobs, and maintain execution history for up to one year.

O que treinar

Treine requisitos, arquitetura e decisões de escala.

14 empresas
Ver detalhes
Rippling
DoorDash
Glovo
Microsoft
+9
BehavioralSenior

Describe your most impactful project

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

13 empresas
Ver detalhes
Meta
DoorDash
Amazon
LinkedIn
+7
BehavioralSenior

Give me an example of a tough or critical piece of feedback you received.

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

11 empresas
Ver detalhes
Meta
DoorDash
Google
Microsoft
+6
BehavioralMid-level

Tell me about a conflict you had at work.

The interviewer focused on a conflict that comes from different perspectives or ideas on how to execute a certain task.

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

10 empresas
Ver detalhes
Meta
Amazon
Microsoft
Atlassian
+6
System DesignSenior

Design a Top-K System

Design a system that efficiently retrieves top-k items (songs, videos, hashtags, etc.) based on user activity or engagement metrics within specified time windows. The system should handle real-time data aggregation and support queries like "top 10 songs in the last 7 days" or "trending hashtags in the past 24 hours."

O que treinar

Treine requisitos, arquitetura e decisões de escala.

10 empresas
Ver detalhes
Netflix
Meta
Uber
Monzo
+5
BehavioralSenior

Describe experience working on a complex project

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

9 empresas
Ver detalhes
DoorDash
OpenAI
Rippling
LinkedIn
+5
System DesignSenior

Design a Metrics Aggregator

Design a metrics aggregation system that collects count-based metrics (like user signups, system errors, ad clicks) from services via a client library and displays them as histogram data on a dashboard. The system should support querying aggregated metrics within specific time frames for monitoring and analytics purposes.

O que treinar

Treine requisitos, arquitetura e decisões de escala.

9 empresas
Ver detalhes
Netflix
Amazon
Microsoft
Oracle
+5
CodingSenior

Leetcode 146. LRU Cache

Implement an LRUCache that supports O(1) average-time get(key) returning the value or -1 and put(key, value) which inserts or updates a key and, if capacity is exceeded, evicts the least-recently-used key. The core challenge is maintaining key-value storage together with recency ordering to enable constant-time access, updates, and eviction.

O que treinar

Estruture solução, trade-offs e complexidade com clareza.

9 empresas
Ver detalhes
DoorDash
Meta
Amazon
Uber
+4
BehavioralMid-level

What was a situation where you didn't agree with your manager or superior's decision?

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

8 empresas
Ver detalhes
Spotify
Meta
LinkedIn
Amazon
+4
BehavioralMid-level

Give an example of a situation where you had to overcome a significant setback or obstacle to achieve a goal

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

8 empresas
Ver detalhes
DoorDash
Meta
Atlassian
Oracle
+4
BehavioralMid-level

Describe a time you failed and how you managed the situation

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

8 empresas
Ver detalhes
Microsoft
Airbnb
Reddit
Uber
+4
System DesignSenior

Design a Notification System

Design a scalable notification system that supports both individual and bulk notifications to multiple users. The system should handle different types of notifications including critical time-sensitive messages (like 1:1 chat) and promotional content (like system-generated recommendations) with appropriate delivery mechanisms. Consider scalability requirements (up to 1M notifications/second), expiration logic for different notification types, and the typical 80/20 distribution between critical and promotional notifications where promotional messages can target thousands of users simultaneously.

O que treinar

Treine requisitos, arquitetura e decisões de escala.

8 empresas
Ver detalhes
Meta
Apple
LinkedIn
Google
+3
CodingStaff+

Leetcode 20. Valid Parentheses

Check whether a string of parentheses/brackets is valid by ensuring every closing bracket matches the most recent unmatched opening bracket and the types and nesting order are correct. This is typically solved by tracking openings (e.g., with a stack) and verifying matching pairs.

O que treinar

Estruture solução, trade-offs e complexidade com clareza.

7 empresas
Ver detalhes
Meta
Uber
LinkedIn
Google
+2
BehavioralStaff+

Can you share an example where you resolved a significant conflict between different teams or departments in your organization?

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

6 empresas
Ver detalhes
DoorDash
Meta
Bloomberg
Microsoft
+2
BehavioralMid-level

What is the hardest challenge you've overcome at work?

O que treinar

Prepare histórias concretas com contexto, ação e resultado.

6 empresas
Ver detalhes
DoorDash
Apple
Meta
Amazon
+2
CodingSenior

Leetcode 210. Course Schedule II

Given numCourses and prerequisite pairs, return any ordering of courses that satisfies all prerequisites or an empty array if impossible — this is essentially computing a topological sort of a directed graph and detecting cycles.

O que treinar

Estruture solução, trade-offs e complexidade com clareza.

6 empresas
Ver detalhes
Oracle
Meta
Amazon
TikTok
+2
CodingMid-level

Leetcode 200. Number of Islands

Count the number of islands (4-directionally connected components of '1's) in an m×n binary grid. This is a connected-components/flood-fill problem typically solved with DFS/BFS or Union-Find in O(mn) time (m,n ≤ 300).

O que treinar

Estruture solução, trade-offs e complexidade com clareza.

6 empresas
Ver detalhes
Meta
Canva
Amazon
LinkedIn
+1
CodingMid-level

Leetcode 236. Lowest Common Ancestor of a Binary Tree

Given a binary tree and two nodes p and q, find their lowest common ancestor — the deepest node that has both p and q as descendants (a node can be a descendant of itself). The tree can be large (up to 2e5 nodes), nodes are unique and p and q are guaranteed to exist.

O que treinar

Estruture solução, trade-offs e complexidade com clareza.

5 empresas
Ver detalhes
Meta
Salesforce
LinkedIn
NVIDIA
+1
System DesignStaff+

Design LeetCode

Design an online coding judge system for programming competitions where users can submit solutions, view real-time leaderboards, and participate in timed contests with automatic code evaluation.

O que treinar

Treine requisitos, arquitetura e decisões de escala.

5 empresas
Ver detalhes
LinkedIn
Uber
Microsoft
Meta
CodingMid-level

Leetcode 53. Maximum Subarray

Find the contiguous subarray within an integer array that yields the maximum possible sum and return that sum. This is typically solved in O(n) with Kadane's algorithm (with an alternative divide-and-conquer approach as a follow-up).

O que treinar

Estruture solução, trade-offs e complexidade com clareza.

4 empresas
Ver detalhes
Meta
Lyft
LinkedIn
Amazon
CodingSenior

Leetcode 76. Minimum Window Substring

Find the smallest substring of s that contains all characters of t (including duplicates), or return "" if none exists. This is typically solved with a sliding-window + frequency-count approach to track coverage and achieve O(m+n) time.

O que treinar

Estruture solução, trade-offs e complexidade com clareza.

4 empresas
Ver detalhes
Meta
LinkedIn
TikTok
Amazon
System DesignSenior

Design a System Metrics Monitoring and Alerting Platform

Design a metrics monitoring platform that collects performance data (CPU, memory, throughput) from hundreds of thousands of servers, allows users to set threshold-based alerts, and provides dashboards for visualization and notifications when alerts are triggered.

O que treinar

Treine requisitos, arquitetura e decisões de escala.

4 empresas
Ver detalhes
Empresas relacionadas

Explore empresas parecidas

Continue explorando o banco completo para LinkedIn

No app você amplia a busca com mais perguntas, compara empresas parecidas e continua a preparação com filtros mais precisos.