# Software Engineer
**Role:** Software Engineer · **Level:** L2
**Company:** [LINE](https://scaleengineer.com/companies/line)
**Difficulty:** Medium
**Salary:** US$90000 - US$120000
**Experience:** 2 - 5
**Timeline:** ~14 days
This interview process is for a Software Engineer (L2) position at LINE. It aims to assess technical proficiency, problem-solving skills, and cultural fit.
Canonical: https://scaleengineer.com/interviews/line/l2-software-engineer
---
## Overall evaluation

- Technical Skills
- Communication
- Cultural Fit

## Questions asked

- Tell me about a challenging technical problem you solved.
- How do you approach designing a scalable system?
- Describe a time you had a conflict with a teammate and how you resolved it.
- What are your strengths and weaknesses as a software engineer?
- How do you stay updated with new technologies?
- Explain the concept of RESTful APIs.
- What is the difference between a process and a thread?
- How would you design a system to handle real-time notifications for millions of users?
- Describe a project you are particularly proud of and your role in it.
- Why are you interested in working at LINE?

## Preparation tips

### lists

- Review fundamental data structures and algorithms.
- Practice coding problems on platforms like LeetCode, HackerRank, or Codewars.
- Study system design principles and common architectural patterns.
- Prepare for behavioral questions by reflecting on past experiences using the STAR method.
- Research LINE's products, services, and company culture.
- Understand the specific technologies and languages mentioned in the job description.
- Practice explaining your thought process clearly and concisely.
- Prepare questions to ask the interviewer about the role, team, and company.

### studyPlan

- {"title":"Data Structures and Algorithms Fundamentals","longDescription":"Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice problems related to these topics on platforms like LeetCode (Easy/Medium).","shortDescription":"Weeks 1-2: Data Structures & Algorithms (Easy/Medium)."}
- {"title":"Advanced Problem Solving","longDescription":"Weeks 3-4: Dive into more advanced algorithms and problem-solving techniques. Explore topics like graph traversal, recursion, backtracking, and bit manipulation. Continue practicing Medium/Hard LeetCode problems. Begin exploring basic system design concepts.","shortDescription":"Weeks 3-4: Advanced Algorithms & Intro to System Design."}
- {"title":"System Design","longDescription":"Weeks 5-6: Focus on system design. Study concepts like scalability, availability, databases (SQL vs. NoSQL), caching, load balancing, message queues, and API design. Practice designing common systems (e.g., URL shortener, Twitter feed).","shortDescription":"Weeks 5-6: System Design."}
- {"title":"Behavioral Preparation","longDescription":"Week 7: Prepare for behavioral and situational questions. Reflect on your past projects and experiences using the STAR method (Situation, Task, Action, Result). Research LINE's company values and culture.","shortDescription":"Week 7: Behavioral & Cultural Fit."}
- {"title":"Final Preparation","longDescription":"Week 8: Mock interviews, review weak areas, and finalize any questions you want to ask the interviewers. Ensure you are comfortable discussing your resume and projects in detail.","shortDescription":"Week 8: Mock Interviews & Final Review."}

## Location differences

- {"location":"Global (Remote)","differences":{"tips":["Be prepared to discuss specific projects where you dealt with scalability challenges.","Familiarize yourself with common cloud provider services (AWS, GCP, Azure).","Practice explaining complex technical concepts clearly and concisely.","Research LINE's tech stack and recent product launches."],"interviewFocus":["Deep understanding of distributed systems and scalability.","Experience with large-scale data processing.","Familiarity with cloud-native technologies (e.g., Kubernetes, Docker).","Strong problem-solving skills applied to real-world scenarios."],"commonQuestions":["How would you optimize a database query for a high-traffic social media platform?","Describe a challenging bug you encountered and how you debugged it.","What are your thoughts on microservices vs. monolithic architecture for a new product?","How do you ensure code quality and maintainability in a team environment?"]}}
- {"location":"Japan (Tokyo)","differences":{"tips":["Showcase your mobile development portfolio or personal projects.","Be ready to discuss your experience with specific mobile SDKs and frameworks.","Understand the differences between native, hybrid, and cross-platform development.","Prepare to talk about your experience with app store submission processes."],"interviewFocus":["Proficiency in mobile development (Android/iOS).","Understanding of mobile UI/UX principles.","Experience with mobile performance optimization.","Knowledge of mobile security best practices."],"commonQuestions":["Tell me about your experience with Java/Kotlin for Android development.","How do you handle background tasks and threading in mobile applications?","Describe your approach to testing mobile applications (unit, integration, UI tests).","What are the key considerations when designing a user interface for a mobile app?"]}}

## Round 1: Technical Coding Round 1
**Type:** Data Structures and Algorithms Interview · **Difficulty:** Medium · **Duration:** 45 min
Assess core coding and problem-solving skills through coding challenges.
This round focuses on your core technical skills, primarily data structures and algorithms. You will be given coding problems to solve, and you'll need to explain your thought process, discuss trade-offs, and write clean, efficient code. The interviewer will assess your problem-solving abilities and your understanding of fundamental computer science concepts.
**Interviewers look for:** Logical thinking; Ability to break down complex problems; Clean and efficient coding practices; Understanding of fundamental CS concepts
**Evaluation criteria:** Problem-solving approach; Correctness of solution; Code efficiency and readability; Understanding of time and space complexity
**Common rejection reasons:** Inability to articulate thought process.; Poor understanding of fundamental data structures and algorithms.; Code contains significant bugs or is inefficient.; Lack of problem-solving skills.; Poor communication.
## Questions

- Given an array of integers, find the contiguous subarray with the largest sum.
- Implement a function to reverse a linked list.
- Find the kth smallest element in a binary search tree.

## Preparation tips

- Practice coding on a whiteboard or a shared editor.
- Think out loud and explain your approach before coding.
- Consider edge cases and test your solution thoroughly.
- Be prepared to discuss the time and space complexity of your solution.

## Round 2: System Design Round
**Type:** System Design Interview · **Difficulty:** Medium · **Duration:** 60 min
Assess ability to design scalable and robust systems.
This round evaluates your ability to design scalable, reliable, and maintainable systems. You will be presented with a high-level problem (e.g., design a URL shortener, design a social media feed) and asked to propose a system architecture. The interviewer will probe your design choices, discuss trade-offs, and assess your understanding of distributed systems principles.
**Interviewers look for:** Ability to design complex systems; Understanding of distributed systems concepts; Knowledge of various architectural patterns; Pragmatic approach to problem-solving; Ability to justify design decisions
**Evaluation criteria:** Scalability of the proposed solution; Availability and reliability considerations; Choice of appropriate technologies and data stores; Trade-off analysis; Clarity and completeness of the design
**Common rejection reasons:** Lack of understanding of system design principles.; Inability to handle scale and performance considerations.; Poor trade-off analysis.; Not considering failure scenarios.; Difficulty in communicating design choices.
## Questions

- Design a system like Twitter's news feed.
- Design a URL shortening service like Bitly.
- How would you design a system for real-time analytics?

## Preparation tips

- Review common system design patterns (e.g., microservices, load balancing, caching).
- Understand different types of databases and when to use them.
- Practice designing systems for scale.
- Be prepared to draw diagrams and explain your design clearly.

## Round 3: Behavioral and Managerial Round
**Type:** Behavioral Interview · **Difficulty:** Easy · **Duration:** 30 min
Assess cultural fit, teamwork, and motivation.
This round focuses on your behavioral and situational responses, as well as your overall fit with the team and LINE's culture. The hiring manager will ask questions about your past experiences, how you handle challenges, your motivations, and your career goals. Be prepared to share specific examples using the STAR method.
**Interviewers look for:** Positive attitude; Good communication skills; Team player mentality; Genuine interest in LINE; Self-awareness
**Evaluation criteria:** Alignment with company values; Teamwork and collaboration skills; Motivation and passion for the role; Communication and interpersonal skills; Career aspirations
**Common rejection reasons:** Poor cultural fit.; Lack of enthusiasm or interest in the role/company.; Inability to provide specific examples for behavioral questions.; Negative attitude.; Unrealistic salary expectations.
## Questions

- Tell me about a time you worked effectively under pressure.
- Describe a situation where you had to collaborate with a difficult colleague.
- Why are you interested in this role at LINE?

## Preparation tips

- Prepare examples for common behavioral questions (teamwork, conflict resolution, leadership, failure).
- Research LINE's mission, values, and culture.
- Be enthusiastic and show genuine interest in the role.
- Ask thoughtful questions about the team and work environment.
