# IC2
**Role:** Software Engineer · **Level:** Software Engineer
**Company:** [LinkedIn](https://scaleengineer.com/companies/linkedin)
**Difficulty:** Medium to Hard
**Salary:** US$110000 - US$150000
**Experience:** 2 - 5
**Timeline:** ~14 days
The IC2 Software Engineer interview at LinkedIn is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. It typically involves multiple rounds, including technical screenings, coding challenges, system design, and behavioral interviews.
Canonical: https://scaleengineer.com/interviews/linkedin/software-engineer-software-engineer
---
## Overall evaluation

- Technical Skills
- Communication
- Behavioral and Cultural Fit

## Questions asked

- Given an array of integers, find the contiguous subarray with the largest sum.
- Design a system to count the number of unique visitors to a website.
- Tell me about a time you had to deal with ambiguity.
- How would you implement a Least Recently Used (LRU) cache?
- Describe a challenging project you worked on and your role in it.
- What are the trade-offs between SQL and NoSQL databases?
- How do you handle merge conflicts in Git?
- Explain the concept of CAP theorem.
- Describe a situation where you had to influence a decision.
- Write a function to reverse a linked list.

## Preparation tips

### lists

- Master fundamental data structures and algorithms.
- Practice coding problems on platforms like LeetCode, HackerRank, and Educative.
- Study system design concepts, including scalability, reliability, and trade-offs.
- Review common behavioral interview questions and prepare STAR method responses.
- Understand LinkedIn's products, mission, and values.
- Prepare questions to ask the interviewer.
- Mock interviews can be very beneficial.

### studyPlan

- {"title":"Data Structures and Algorithms","longDescription":"Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables) and their common algorithms (Sorting, Searching, Traversal). Practice implementing these from scratch and analyze their time and space complexity.","shortDescription":"Weeks 1-2: Data Structures & Algorithms Fundamentals."}
- {"title":"Advanced Algorithms and System Design Basics","longDescription":"Weeks 3-4: Dive into advanced algorithms like Dynamic Programming, Greedy Algorithms, and graph algorithms. Practice problems that require combining multiple concepts. Start exploring basic system design principles.","shortDescription":"Weeks 3-4: Advanced Algorithms & Intro to System Design."}
- {"title":"System Design","longDescription":"Weeks 5-6: Deepen your understanding of system design. Cover topics like database design, caching, load balancing, message queues, and distributed systems. Practice designing common applications.","shortDescription":"Weeks 5-6: System Design Principles and Practice."}
- {"title":"Behavioral Preparation","longDescription":"Week 7: Prepare for behavioral interviews. Reflect on your past experiences and prepare STAR method answers for common questions related to teamwork, challenges, failures, and successes. Research LinkedIn's culture and values.","shortDescription":"Week 7: Behavioral Interview Preparation."}
- {"title":"Mock Interviews and Review","longDescription":"Week 8: Conduct mock interviews, focusing on both technical and behavioral aspects. Get feedback and identify areas for improvement. Review any weak areas identified during practice.","shortDescription":"Week 8: Mock Interviews and Final Review."}

## Location differences

- {"location":"Global","differences":{"tips":["Research common technologies used in the specific region.","Be prepared to discuss projects relevant to the local industry.","Highlight experience working with diverse, international teams."],"interviewFocus":["Adaptability to local market trends and technologies.","Understanding of regional engineering challenges.","Collaboration with geographically distributed teams."],"commonQuestions":["Discuss a challenging technical problem you solved at your previous company.","How do you approach debugging a complex issue?","Describe a time you had to work with a difficult teammate.","What are your thoughts on the latest trends in cloud computing?","How would you design a URL shortener service?"]}}
- {"location":"Silicon Valley","differences":{"tips":["Brush up on algorithms, data structures, and system design principles.","Prepare to discuss your contributions to significant projects.","Be ready to articulate your thought process clearly and concisely."],"interviewFocus":["Deep understanding of large-scale systems and performance optimization.","Proficiency in specific programming languages and frameworks prevalent in Silicon Valley.","Experience with agile development methodologies."],"commonQuestions":["Tell me about your experience with distributed systems in a high-traffic environment.","How do you ensure scalability and reliability in your code?","Describe a time you disagreed with a technical decision and how you handled it.","What are your favorite data structures and why?","Design an API for a social media feed."]}}
- {"location":"Europe","differences":{"tips":["Showcase your ability to write clean, maintainable, and well-documented code.","Be prepared to discuss your experience with different software development lifecycles.","Highlight any experience working in international teams or projects."],"interviewFocus":["Emphasis on collaborative coding practices and code quality.","Understanding of European market needs and regulations.","Experience with cross-cultural communication."],"commonQuestions":["How do you approach code reviews to ensure quality and maintainability?","Describe a project where you had to optimize performance.","What are your thoughts on microservices architecture?","How do you stay updated with new technologies?","Design a system to handle real-time notifications."]}}

## Round 1: Initial Screening
**Type:** Recruiter/Hiring Manager Screen · **Difficulty:** Medium · **Duration:** 45 min
Initial screening to assess basic qualifications and fit.
This initial screening round is typically conducted by a recruiter or a junior engineer. It aims to assess your basic qualifications, communication skills, and understanding of fundamental computer science concepts. You might be asked about your resume, career goals, and some introductory technical questions.
**Interviewers look for:** A systematic approach to problem-solving.; Ability to translate requirements into code.; Understanding of basic algorithms and data structures.; Clear communication of thought process.
**Evaluation criteria:** Problem-solving approach; Correctness of code; Efficiency of solution (time and space complexity); Clarity of explanation
**Common rejection reasons:** Inability to articulate thought process.; Poor understanding of fundamental data structures.; Inefficient or incorrect code.; Lack of problem-solving approach.
## Questions

- Tell me about yourself and your experience.
- Why are you interested in this role at LinkedIn?
- What is a hash map and how does it work?
- Write a function to check if a string is a palindrome.

## Preparation tips

- Be ready to discuss your resume in detail.
- Practice explaining your projects and technical contributions clearly.
- Review fundamental data structures and algorithms.
- Prepare answers for common behavioral questions.

## Round 2: Coding Interview
**Type:** Technical Phone Screen / Coding Interview · **Difficulty:** Hard · **Duration:** 60 min
Assess coding skills and problem-solving abilities with algorithmic challenges.
This round focuses on your core technical skills, primarily through coding challenges. You'll likely be asked to solve one or two algorithmic problems on a shared coding platform. The interviewer will assess your ability to write efficient, bug-free code and explain your thought process.
**Interviewers look for:** Proficiency in coding and problem-solving.; Understanding of time and space complexity.; Ability to write clean, maintainable code.; Systematic approach to debugging.
**Evaluation criteria:** Algorithmic thinking; Data structure implementation; Code correctness and efficiency; Ability to debug and test code; Problem-solving strategy
**Common rejection reasons:** Incorrect or inefficient algorithms.; Inability to handle edge cases.; Poor coding style or syntax errors.; Difficulty in debugging code.; Lack of clear communication about the solution.
## Questions

- Given two sorted arrays, merge them into a single sorted array.
- Find the kth smallest element in a binary search tree.
- Implement a function to find the longest common prefix among a list of strings.

## Preparation tips

- Practice coding problems extensively on platforms like LeetCode.
- Focus on understanding time and space complexity (Big O notation).
- Be prepared to explain your code line by line.
- Practice thinking out loud while solving problems.

## Round 3: System Design
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Assess ability to design scalable and robust software systems.
This round evaluates your ability to design complex, scalable systems. You'll be given an open-ended problem (e.g., design Twitter's feed, design a URL shortener) and expected to discuss various components, data models, APIs, and trade-offs. Focus on clarity, scalability, and robustness.
**Interviewers look for:** Ability to design scalable and robust systems.; Understanding of trade-offs in system design.; Knowledge of distributed systems concepts (databases, caching, load balancing).; Clear communication of design choices.
**Evaluation criteria:** System design principles; Scalability and performance; Reliability and availability; Trade-off analysis; Understanding of distributed systems concepts
**Common rejection reasons:** Lack of understanding of distributed systems.; Inability to handle scale and performance considerations.; Poor trade-off analysis.; Vague or incomplete system design.; Failure to consider failure scenarios.
## Questions

- Design a URL shortening service like bit.ly.
- Design the Twitter feed system.
- How would you design a rate limiter?

## Preparation tips

- Study system design concepts thoroughly (e.g., Grokking the System Design Interview).
- Practice designing common large-scale systems.
- Understand trade-offs between different technologies and approaches.
- Be prepared to discuss databases, caching, load balancing, and message queues.

## Round 4: Behavioral Interview
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Assess behavioral competencies and cultural fit.
This round focuses on your behavioral aspects and how you fit into the team and company culture. You'll be asked questions about past experiences, how you handle specific situations (e.g., conflict resolution, dealing with failure), and your motivations. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
**Interviewers look for:** How you handle challenges and conflicts.; Your ability to work in a team.; Your alignment with LinkedIn's culture and values.; Your motivation and career aspirations.
**Evaluation criteria:** Teamwork and collaboration; Problem-solving in team contexts; Adaptability and learning; Communication and interpersonal skills; Cultural fit with LinkedIn
**Common rejection reasons:** Lack of alignment with company values.; Poor communication or interpersonal skills.; Negative attitude or lack of enthusiasm.; Inability to provide specific examples for behavioral questions.; Mismatch in career goals or expectations.
## Questions

- Tell me about a time you failed. What did you learn from it?
- Describe a situation where you had to work with a difficult colleague.
- How do you prioritize your work when you have multiple deadlines?
- What are your career aspirations for the next 3-5 years?

## Preparation tips

- Prepare STAR method answers for common behavioral questions.
- Research LinkedIn's mission, values, and culture.
- Reflect on your strengths, weaknesses, and career goals.
- Be enthusiastic and genuine in your responses.