Scale Engineer

Software Engineer

Software EngineerMG6Hard

Mercari's MG6 Software Engineer interview process is designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit. The process is rigorous and aims to identify individuals who can contribute significantly to Mercari's engineering challenges and uphold its values.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·225 min

Evaluation

What they measure.

  • Technical Proficiency: Depth and breadth of knowledge in relevant technologies.
  • Problem-Solving: Ability to analyze problems, devise solutions, and articulate them.
  • System Design: Capacity to design scalable, reliable, and maintainable systems.
  • Collaboration & Communication: Effectiveness in working with others and conveying ideas.
  • Cultural Fit: Alignment with Mercari's values and working style.

Preparation

How to prepare.

Tips

  1. Thoroughly review data structures and algorithms, focusing on time and space complexity.
  2. Practice system design problems, considering scalability, availability, and trade-offs.
  3. Understand Mercari's business, products, and engineering culture.
  4. Prepare to discuss your past projects in detail, highlighting your contributions and learnings.
  5. Brush up on your knowledge of distributed systems, databases, and cloud technologies.
  6. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Engage with Mercari's engineering blog and open-source contributions if available.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA Fundamentals (LeetCode Medium)

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice coding problems on platforms like LeetCode, aiming for medium difficulty.

Questions

Commonly asked.

  • Describe a time you had to deal with a significant technical debt. How did you approach it?
  • How would you design a URL shortening service like bit.ly?
  • What are the trade-offs between SQL and NoSQL databases for a large-scale e-commerce platform?
  • Explain the concept of eventual consistency and when it's appropriate to use.
  • Tell me about a project where you had to make a significant architectural decision. What was your reasoning?
  • How do you ensure the security of a web application?
  • What are your thoughts on containerization technologies like Docker and Kubernetes?
  • Describe a situation where you disagreed with a technical decision made by your team. How did you handle it?
  • How would you optimize the performance of a slow-running database query?
  • Design a system for real-time notifications for a social media platform.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Tokyo

Interview focus

Deep understanding of distributed systems and cloud-native technologies (AWS, Kubernetes).Experience with large-scale data processing and analytics.Strong grasp of microservices architecture and best practices.Ability to design for high availability and fault tolerance.Proficiency in at least one major cloud platform.

Common questions

  • How would you design a system to handle real-time inventory updates for a large e-commerce platform?
  • Describe a complex technical challenge you faced and how you overcame it.
  • How do you ensure scalability and reliability in distributed systems?
  • What are your thoughts on microservices vs. monolith architectures in the context of Mercari's business?
  • How do you approach performance optimization for high-traffic applications?

Tips

  • Familiarize yourself with Mercari's tech stack and recent engineering blog posts.
  • Prepare to discuss your experience with AWS services relevant to e-commerce.
  • Be ready to whiteboard complex system designs.
  • Highlight experience with performance tuning and scalability challenges.
  • Understand Mercari's business model and how technology supports it.

Rounds

Round-by-round.

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

DSA

Coding questions at Mercari.

Frequently reported on Mercari loops

View all at Mercari

Other guides

More at Mercari.