LinkedIn Software Engineer Interview Questions
30 real practice questions for the mid-level Software Engineer role at LinkedIn (Social/Technology), spanning behavioral, technical, system design, leadership, and problem solving. Design, develop, and maintain software applications. The first 3 questions below include what LinkedIn interviewers actually listen for, plus likely follow-ups.
- Questions
- 30
- Categories
- Behavioral (6), Technical (6), System Design (6), Leadership (6), Problem Solving (6)
- Difficulty mix
- 10 easy · 10 medium · 10 hard
- Avg. answer time
- ~4 min
Behavioral Questions (6)
1.Tell me about a time you gave someone feedback that was hard to hear. What was the feedback and how did they react?
easy~3 minWhat interviewers look for
- Demonstrates comfort with direct, constructive feedback aligned with Be Open, Honest, and Constructive
- Shows consideration for timing, delivery, and the recipient's perspective
- Focused on behavior and impact rather than personal attacks
- Followed up to ensure feedback was understood and acted upon
Likely follow-ups
- How did you decide this feedback needed to be given?
- What was your relationship with this person before and after the conversation?
Company context
LinkedIn's Be Open, Honest, and Constructive principle expects engineers to provide direct feedback to help teammates grow. The company's culture of transparency and continuous improvement depends on individuals being comfortable with difficult conversations that drive better outcomes.
2.Describe a time you took ownership of a problem that wasn't technically your responsibility. What was the problem and how did you handle it?
easy~4 minWhat interviewers look for
- Shows proactive ownership beyond defined scope aligned with LinkedIn's Act Like an Owner principle
- Demonstrates end-to-end accountability for outcomes rather than just task completion
- Coordinated effectively with other teams or stakeholders to resolve the issue
- Prevented similar issues through process improvements or system changes
Likely follow-ups
- How did you decide this problem was worth your time even though it wasn't your job?
- Did anyone push back on you taking ownership of this issue?
Company context
LinkedIn's Act Like an Owner principle expects engineers to think beyond their immediate scope and take accountability for member and business outcomes. In LinkedIn's complex microservices environment, problems often span multiple teams, requiring engineers who will step up to drive resolution regardless of org boundaries.
3.Tell me about a time you pushed back on a product feature or requirement because you felt it wouldn't serve users well. What was the feature and how did you handle the pushback?
medium~4 minWhat interviewers look for
- Demonstrates clear user-centric thinking aligned with LinkedIn's Members First principle
- Shows ability to articulate user impact with data or research to support their position
- Handled disagreement constructively while maintaining relationships with product partners
- Proposed alternative solutions or compromises that better served user needs
Likely follow-ups
- How did you gather evidence that the feature wouldn't serve users well?
- What was the reaction from your product manager when you pushed back?
- Looking back, do you think you made the right call? Why or why not?
Company context
LinkedIn's Members First principle requires engineers to prioritize member value over feature velocity or business metrics. This question assesses whether candidates can identify when technical decisions conflict with member interests and have the courage to advocate for users, even when it creates friction with stakeholders.
4.Walk me through a time you raised the engineering bar on your team. What standards were you trying to improve and how did you drive the change?
medium~4 min5.Describe a time you had to work with someone difficult to get something shipped. Who was this person, what made them difficult, and how did you build the relationship?
hard~5 min6.Tell me about a technical bet you made that didn't pan out. What was the decision, why did it fail, and what did you learn?
hard~5 min
Technical Questions (6)
7.You need to build a search feature for LinkedIn Recruiter that finds candidates based on skills, location, and experience. How would you structure the data and implement the search functionality?
easy~4 min8.Write a function that merges two sorted arrays representing LinkedIn connection lists, where each array contains user IDs in ascending order. Return the merged list without duplicates.
easy~3 min9.You're building a feature for LinkedIn Feed that requires real-time updates when a user's connections post new content. How would you design this system to handle LinkedIn's scale of hundreds of millions of users?
medium~5 min10.LinkedIn uses trunk-based development with continuous deployment. You've written code that passes all tests locally but breaks the canary deployment at 1% traffic. How would you debug this issue?
medium~4 min11.Walk me through how you'd implement a rate limiter for LinkedIn's API that serves both our mobile app and third-party developers. What algorithms would you use and how would you handle different client types?
hard~5 min12.LinkedIn Jobs needs to send millions of job recommendation emails daily. The current system is taking 6 hours to process, but product wants to reduce this to under 1 hour. How would you approach this optimization?
hard~5 min
System Design Questions (6)
13.Design the backend system for LinkedIn Learning's video streaming service. Users watch thousands of courses simultaneously, and we need to optimize for global delivery while tracking detailed progress analytics.
easy~3 min14.You're tasked with building LinkedIn's professional event recommendation system. It needs to suggest relevant virtual and in-person events to members based on their industry, connections' attendance, and career interests.
easy~3 min15.Design a system that allows LinkedIn members to collaborate on posts before publishing. Multiple people need to edit, review, and approve content in real-time, similar to Google Docs but optimized for professional content creation.
medium~4 min16.Build a fraud detection system for LinkedIn Recruiter that identifies fake job postings and suspicious recruiter behavior in real-time. The system needs to protect both job seekers and legitimate recruiters while minimizing false positives.
medium~4 min17.Design the infrastructure for LinkedIn's A/B testing platform that needs to serve experiment assignments to billions of requests per day while maintaining statistical validity and allowing for complex targeting criteria.
hard~5 min18.Design a system that personalizes LinkedIn Sales Navigator's prospect recommendations for each sales rep based on their territory, industry focus, past outreach success, and current deal pipeline. The system needs to refresh recommendations as market conditions and rep performance change.
hard~5 min
Leadership Questions (6)
19.Tell me about a time you mentored a junior engineer or intern through a challenging technical problem. What was your approach?
easy~3 min20.Tell me about a time you had to deliver difficult news to stakeholders about a project timeline or technical limitation. How did you handle that conversation?
easy~3 min21.Tell me about a time you had to influence a more senior engineer or tech lead to change their technical approach. What was at stake and how did you navigate that conversation?
medium~4 min22.Walk me through a time you convinced your team to adopt a new technology or practice that you believed would improve our engineering quality. How did you drive that change?
medium~4 min23.Describe a time you had to get multiple teams aligned on a technical decision when they had competing priorities. How did you build consensus?
hard~5 min24.Describe a situation where you had to make a judgment call about member privacy or data handling when the product requirements were unclear. How did you approach that decision?
hard~5 min
Problem Solving Questions (6)
25.LinkedIn Feed serves billions of impressions daily, but our machine learning model latency increased by 50ms during peak hours. Estimate the business impact if we don't fix this within a month.
easy~4 min26.LinkedIn wants to estimate the potential member engagement impact of adding voice messages to our messaging platform. How would you size this opportunity and what key assumptions would drive your analysis?
easy~4 min27.Sales Navigator's lead generation feature isn't performing well in our European markets compared to North America. Walk me through how you'd diagnose what's causing the performance gap.
medium~5 min28.If LinkedIn Learning wanted to expand into live instructor-led training sessions, estimate how many concurrent sessions we could support with our current video infrastructure before hitting capacity limits.
medium~5 min29.LinkedIn's weekly active user growth rate dropped from 3% to 1.5% month-over-month across all regions. No major product changes shipped and there were no outages. How would you approach investigating this decline?
hard~5 min30.A LinkedIn Recruiter client complains that our candidate search results have become less relevant over the past month. No search algorithm changes were deployed. Estimate how you'd quantify and investigate this relevance decline.
hard~5 min