Scale Engineer

Software Engineer

Software EngineerL7Hard

This interview process is for a Software Engineer (L7) position at LINE. It is designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit within the company.

Rounds·4

Timeline·~14d

Experience·7 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·210 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Code quality and efficiency

Preparation

How to prepare.

Tips

  1. Thoroughly review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
  3. Study system design concepts, including scalability, reliability, and trade-offs.
  4. Prepare to discuss your past projects in detail, highlighting your contributions and the impact you made.
  5. Understand LINE's products and services, and think about potential technical challenges and solutions.
  6. Prepare for behavioral questions by reflecting on your experiences with teamwork, leadership, problem-solving, and conflict resolution.
  7. Research common interview questions for L7 Software Engineers at major tech companies.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 3-5 problems/day.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice implementing these from scratch and analyze their time and space complexity. Aim for 3-5 problems per day.

Questions

Commonly asked.

  • Design a distributed caching system.
  • How would you design a system to detect duplicate files in a large file system?
  • Explain the concept of eventual consistency and provide an example.
  • Tell me about a time you had to deal with a production issue under pressure.
  • What are the trade-offs between monolithic and microservices architectures?
  • How do you approach code reviews to ensure quality and knowledge sharing?
  • Describe a challenging technical problem you solved and your approach.
  • How would you design a real-time analytics dashboard?
  • What are your thoughts on containerization and orchestration technologies like Docker and Kubernetes?
  • Tell me about a time you disagreed with a technical decision. How did you handle it?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Seoul, South Korea

Interview focus

Deep dive into distributed systems design and scalability.Emphasis on leadership and mentoring capabilities.Understanding of specific technologies relevant to the local market (e.g., cloud platforms prevalent in the region).

Common questions

  • How would you design a real-time notification system for a messaging app like LINE?
  • Describe a complex system you designed and the challenges you faced.
  • How do you handle large-scale data processing and storage?
  • What are your strategies for ensuring code quality and maintainability in a large team?
  • Tell me about a time you had to mentor junior engineers. What was your approach?

Tips

  • Research the specific tech stack and projects prevalent in the LINE office you are applying to.
  • Prepare examples that showcase your experience with large-scale systems and leadership.
  • Be ready to discuss your contributions to open-source projects or significant technical initiatives.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at LINE.

Frequently reported on LINE loops

View all at LINE

Other guides

More at LINE.