---
title: LinkedIn Interview Preparation Guide (2026): Rounds & Questions
description: A 2026 guide to the LinkedIn software engineer interview: the coding rounds, system design at scale, the host/behavioral round, and how to prepare for LinkedIn's culture.
url: https://usegreenroom.app/blog/linkedin-interview-preparation
last_updated: 2026-06-19
---

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# LinkedIn interview preparation guide

June 19, 2026 · 9 min read

![LinkedIn interview preparation guide — cover from Greenroom, the AI mock interviewer](/assets/blog/linkedin-interview-preparation-hero.webp)

LinkedIn runs a polished, FAANG-tier interview: strong data-structure and algorithm rounds, system design at social-network scale, and a behavioral round that maps to its culture. The bar is high but the structure is predictable. Here's how to prepare.

## The LinkedIn interview process

- **Recruiter screen** — background and logistics.
- **Technical phone screen** — coding on a shared editor.
- **On-site loop** — two to three coding rounds, a system design round, and a "host"/behavioral round.

## LinkedIn coding questions

- Arrays, strings, hash maps — two-pointer, sliding window, intervals.
- Trees and graphs — BFS/DFS, which fit LinkedIn's social-graph domain.
- Heaps and recursion — top-K, merge problems.
- Clear narration expected (our guide).

![LinkedIn interview loop — coding, scale system design, host/behavioral](/assets/blog/pool-system-design.webp)

LinkedIn pairs strong coding with social-graph-scale system design.

## LinkedIn system design

Expect scale-flavored prompts: design a news feed, a "people you may know" service, a messaging system, or a notification service. They want requirements, data modeling, scaling (sharding, caching), and trade-offs. See our system design guide.

## LinkedIn behavioral ("host") round

Expect questions on collaboration, impact, handling conflict, and a project you're proud of. Answer in STAR and quantify impact.

**The core truth:** LinkedIn is a FAANG-tier loop with a friendly culture. Solid coding, social-graph-flavored system design narrated clearly, and impact-driven behavioral stories cover it.

## How to prepare

System design and behavioral are spoken skills. Practise narrating designs and telling impact stories out loud. Greenroom runs spoken interviews with live follow-ups and feedback. Pair it with our FAANG prep guide.

## Frequently asked questions

### What is the LinkedIn interview process?

LinkedIn's process includes a recruiter screen, a technical phone screen with coding on a shared editor, and an on-site loop of two to three coding rounds, a system design round, and a 'host' behavioral round. It's a FAANG-tier loop with a high but predictable bar.

### What system design questions does LinkedIn ask?

LinkedIn favors scale-flavored prompts drawn from its product: design a news feed, a 'people you may know' service, a messaging system, or a notification service. Interviewers want clear requirements, data modeling, a scaling plan (sharding, caching) and an honest discussion of trade-offs at social-network scale.

### What coding questions does LinkedIn ask?

LinkedIn asks arrays, strings and hash map problems (two-pointer, sliding window, intervals), trees and graphs (BFS/DFS, fitting its social-graph domain), and heap and recursion problems like top-K and merges. Clear narration of your approach is expected throughout the coding rounds.

### How should I prepare for a LinkedIn interview?

Practise data-structure and algorithm problems with clear narration, rehearse social-graph-flavored system design, and prepare impact-driven behavioral stories in STAR format. Since system design and behavioral are spoken skills, practising them out loud with a voice-based mock interview that gives live follow-ups closely matches LinkedIn's loop.

LinkedIn is a FAANG-tier loop won partly out loud. Greenroom lets you rehearse system design and behavioral stories with live follow-ups. Free to start.