HomeCoursesLinkedIn Coding Interview Questions

LinkedIn Coding Interview Questions

Tackle coding problems modeled after the systems, scale, and speed that power LinkedIn, the world's largest professional network.

Overview

Content

Reviews

LinkedIn’s engineering interviews reward more than just correct answers—they test how you write scalable code, break down complex systems, and communicate clearly under time pressure. These questions are built to mirror real interview themes at LinkedIn, from traversing massive connection graphs to processing millions of data events with low latency. You’ll solve coding problems grounded in practical use cases: designing features around LinkedIn’s graph, optimizing performance for large-scale data operations, and maintaining clarity in logic even under constraints. This isn’t just a prep set; it’s a simulation of how LinkedIn thinks about engineering at scale. Every question gives you the chance to practice coding while explaining trade-offs, edge cases, and design decisions, just like you would in a real LinkedIn technical screen.

LinkedIn’s engineering interviews reward more than just correct answers—they test how you write scalable code, break down comple...Show More

WHAT YOU'LL LEARN

Designing algorithms to navigate connection graphs, messaging paths, and feed updates.

Writing performant, readable code that reflects real system constraints.

Debugging logic for large-scale input sets and user-driven interaction flows.

Balancing clarity and efficiency while solving under time pressure.

Communicating design reasoning and technical decisions in the way LinkedIn engineers are expected to.

Designing algorithms to navigate connection graphs, messaging paths, and feed updates.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 2.9 million developers working at companies

"These are high-quality courses. Trust me the price is worth it for the content quality. Educative came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"

Anthony Walker

@_webarchitect_

"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"

Evan Dunbar

ML Engineer

"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Software Developer

Carlos Matias La Borde

"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"

Souvik Kundu

Front-end Developer

"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."

Vinay Krishnaiah

Software Developer

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Free Resources

FOR TEAMS

Interested in this course for your business or team?

Unlock this course (and 1,000+ more) for your entire org with DevPath

Frequently Asked Questions

What does the LinkedIn coding interview focus on?

Pragmatic problem-solving with clean, efficient code. Expect data structures and algorithms, edge-case thinking, and clear communication about complexity and trade-offs.

Are the LinkedIn coding interview questions the same for all roles?

Not always. General software engineering roles focus on algorithms and design, while specialized roles (like mobile or data engineering) include domain-specific challenges alongside standard coding tasks.

What kind of behavioral questions come up during a LinkedIn interview?

Expect questions about collaboration, conflict resolution, handling feedback, and working under deadlines. LinkedIn values cultural fit as much as technical skill.

Are LinkedIn’s coding questions similar to LeetCode problems?

Yes, many follow common patterns on LeetCode, such as sliding windows, tree traversal, and dynamic programming challenges.

Which topics show up most for LinkedIn interviews?

Arrays/strings, hashing, heaps/priority queues, graphs (BFS/DFS, shortest paths, connectivity), trees/tries, greedy/DP at a medium–hard level, plus real-world scenarios (pagination, rate-limits, streaming).

Do LinkedIn interviews include debugging or refactoring?

Sometimes you’ll fix a broken snippet or optimize an existing solution. Show methodical reasoning, fast repro, minimal changes, and add tests.

What’s a LinkedIn-flavored example prompt?

Given a stream of posts (id, score, timestamp), design a function to return the top-K posts per user session with freshness and tie-break rules. Discuss data structures, pagination, and rate-limits.

What are some tips for remote/virtual LinkedIn interviews?

Use an editor you know, practice typing/voice narration, test mic/latency, and keep a quick checklist (complexity, tests, edge cases) visible.

Learn in-demand tech skills in half the time