LinkedIn Interview Questions To Help You Ace The Interview

What You Should Know About LinkedIn

Founded in 2003, LinkedIn is the world’s largest online platform that connects professionals. The networking company has its headquarters in Sunnyvale, CA and is widely known for the variety of employment-oriented services. Individuals can use LinkedIn to build and grow their professional connections. It’s also a great place to search for the right job or internship as well as acquire the skills needed for a successful career. Companies can use the platform to post jobs and hire candidates. 

You can get started by creating a LinkedIn profile and sharing your unique professional story through experience, skills and knowledge. You can also create events, post updates, join groups, post photos and videos, and write blogs that can be read by millions worldwide. You can access LinkedIn via desktop, mobile app, mobile web experience or LinkedIn Lite Android app.

A Snapshot of the LinkedIn Interview Process

• Interview Process

LinkedIn hires software engineers for both freshers and experienced job roles. Interested candidates can apply either through the careers section of their website, on-campus if they’re hiring from your college or through referral via any current employee at LinkedIn. 

The LinkedIn software engineer interview process generally consists of 5-6 rounds, with the number of rounds depending on the role you apply for. 

• Interview Rounds

• Online Coding Round

This round is generally conducted on the Hackerrank platform and includes 3-4 programming questions that need to be solved in 2 hours. The coding round is generally meant for freshers and on-campus hires; experienced professionals are not required to take this round – they can directly appear for an interview.  

The level of questions asked is medium to hard. Besides coding questions, there can be MCQs on DBMS, operating systems, object oriented programming, networking, data structure and Unix. 

• Technical Interview Round 1

Once you clear the online coding round, you will need to appear for onsite face-to-face interviews on data structures and algorithms. The round lasts for an hour and includes your introduction to the interviewer plus coding questions to be implemented and explained. They might also ask you questions related to your past experiences, projects that you worked on, your preferred technologies, etc. The difficulty level of LinkedIn common interview questions is easy to medium. 

3. Technical Interview Round 2  

Another face-to-face coding round to test your problem solving skills in data structures and algorithms. Here, you’ll get some coding problems in addition to questions on problem-solving with data structures and algorithms, projects, skills, internships, past experiences, and more. The duration is flexible, according to the interviewer’s preference. The level of difficulty of one coding question is easy to medium, while the other one is medium to hard. 

4. System Design Round

This round is generally for experienced candidates and lasts for about an hour. You can be given a problem where you have to design a shared drive file system, including its database design, high level architecture, tackling problems about scaling up, etc. the aim is to test your skills and expertise in software design.  

5. Managerial Round

Once you clear all the technical rounds, you’ll need to appear for the managerial round taken by the team manager who you’ll work with if you’re hired. This is the most interesting and interactive round – conducted mainly to assess if you’re fit for the team and the project for which you are being considered. 

The questions can be about the challenges you faced in previous projects, your contribution, and other exciting questions. You might also be asked to give real-time suggestions for LinkedIn. 

If you clear all these rounds, you’ll get an offer letter along with the LinkedIn Welcome Kit. 

A List of LinkedIn Coding Questions

1. How to implement a queue using two stacks?
2. Maximum gap problem – (You’re given an unsorted array, find the maximum difference between successive elements in its sorted form)
3. Design a data structure with O (1) time complexity.
4. Find the first and last index of a given integer in a sorted array
5. Implement a data structure that includes Add, Subtract and Remove features.   
6. Design a meeting calendar.
7. Write a program having a string and the line length T as inputs. The program should return the string such that it is in justified form with all lines of length T.
8. Write an algorithm to choose the top three largest numbers from a list.
9. Write a function to select the top 3 largest numbers from a given list.
10. How would you calculate greatest depth in a binary search tree?
11. Get the N closest elements in a binary search tree.
12.  Write a program that perform s union of two linked lists.
13. Write a program to invert a binary tree.
14. Check if a given graph is Bipartite or not by using DFS
15. Write a program to calculate (x^n) 
16. Find the largest and smallest number in an unsorted integer array with minimum complexity.
17. Convert a nested list into a normal list with the elements in the same order as in the nested list. 
18. How do you implement a linked list and write functions to add, deduct, and remove elements?
19. Write a function to perform binary search on a given array. 
20. When is it practical to use the DFS and BFS algorithms?
21. Evaluate the value of a given expression containing characters and operators in Reverse Polish notation.
22. Determine the union of two given lists.
23.  Find the shortest path from the given 2D matrix
24. How would you perform inorder traversal in a given tree?

Topics to Prepare Before the Technical LinkedIn Interview

The questions in the technical rounds of LinkedIn interviews are mainly based on data structures and algorithms. 

Data Structures – Prepare Questions on Topics Like:

• Arrays
• Linked lists
• Stacks
• Queues
• Trees
• Graphs
• Heaps
• Hash sets
• Hash maps

Algorithms – Prepare Questions On:

• Depth-first search
• Breadth-first search
• Binary search
• Quicksort
• Merge sort
• Dynamic programming
• Divide and conquer 

LinkedIn Interview Questions

Behavioral Interview Questions

1. Why do you want to work here?
2. Tell us about your dream job.
3. How do you build relationships?
4. What is your learning style?
5. Describe your greatest failure. What did you learn from it?
6. What other companies are you interviewing with?
7. How would you describe your ideal manager?
8. What academic courses did you like the most/least?
9. Are you planning to continue your education? 
10. Assuming that you’re selected, what will be your strategy for the next 30-60-90 days? 

Tips for LinkedIn Interview Preparation

• Revise your fundamentals and learn the basics of programming, operating systems, DBMS, etc.
• Polish your data structure and algorithm skills. Practice all types of coding questions before attending the interview.
• Go over all previously asked LinkedIn interview questions, and of course, Frequently Asked questions.
• Take mock interviews online/offline before appearing for the actual interview. 

LinkedIn Interview Questions FAQs 

1. How much does a software engineer or a senior software engineer make at LinkedIn?

According to Glassdoor, the average Software Engineer salary at LinkedIn is ₹22,83,827 per year, and the average LinkedIn Senior Software Engineer salary is ₹28,34,698 per year. LinkedIn Senior Software Engineer salaries can range from ₹24,73,030 - ₹45,61,280 per year. 

2. Are LinkedIn interviews hard?

The coding interviews at LinkedIn are really challenging, with the questions asked being medium to hard, specific to LinkedIn and covering a varied range of topics.  The interviewers expect candidates to have good coding skills and in-depth knowledge of software.

3. What are the top five questions to ask when interviewing at LinkedIn?

The top five questions would be:

• Tell us about yourself
• What is your greatest strength? 
• What is your greatest weakness? 
• Why should we hire you? 
• Why do you want to work here? 

4. Is it ethical to check the Interviewer’s LinkedIn profile before an interview?

There’s no harm in checking your interviewer on LinkedIn before your interview. After all, you’ll get a sense of who you’ll be meeting. Moreover, there’s even a possibility the interviewer might go through your LinkedIn profile while interviewing. 

5. How are the work-life balance and working hours at LinkedIn?

LinkedIn provides a reasonably good work-life balance and takes good care of its employees. The pace of work is comfortably fast and flexible work hours are available. Employees generally work 8 hours maximum on a given day. The company does not promote or encourage the practice of overtime work. 

6. Does the interviewer check my LinkedIn profile before the interview?

Although not all interviewers check the LinkedIn profile of candidates to be interviewed, there's a high chance they might look at your LinkedIn profile while interviewing you. Ensure that your profile is up to date and the relevant details mentioned in your profile match your resume. 

We hope these LinkedIn interview questions and tips help you crack your interview and get hired by one of the world’s top tech giants. Visit our blog to find more resources on interview questions for the most in-demand IT and non-IT roles as well as guides on some of the most sought-after skills in the market today. Register with us at Simplilearn to access our industry-leading online bootcamp courses, certifications, and career-advancing masters programs in collaboration with the world’s top universities.

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Conclusion

We hope this article has been helpful for understanding the process of interviews at LinkedIn and which questions are the best ones to prepare for. If you want to master software development, you can check out Simplilearn’s amazing Post Graduate programs such as Post Graduate Program in Full Stack Web Development.

The program was built in collaboration with Caltech and has been ranked #1 Best Coding Bootcamp by Career Karma. In this course, you’ll start off with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC.