Scale Engineer

Software Engineer

Software EngineerMG3Medium to Hard

Mercari's Software Engineer MG3 interview process is designed to assess a candidate's technical expertise, problem-solving abilities, and cultural fit for a mid-level engineering role. The process typically involves multiple rounds, including technical assessments, system design discussions, and behavioral interviews, to ensure a comprehensive evaluation.

Rounds·3

Timeline·~14d

Experience·4 - 8 yrs

Comp band·US$130000 - US$180000

Interview time·150 min

Evaluation

What they measure.

  • Technical Proficiency: Depth of knowledge in relevant programming languages, data structures, algorithms, and system design.
  • Problem-Solving Skills: Ability to analyze problems, devise effective solutions, and articulate the thought process.
  • System Design: Capability to design scalable, reliable, and maintainable systems.
  • Communication: Clarity in explaining technical concepts, ideas, and solutions.
  • Collaboration & Teamwork: Ability to work effectively with others and contribute to a team environment.
  • Cultural Fit: Alignment with Mercari's values and principles, including ownership, innovation, and customer focus.

Preparation

How to prepare.

Tips

  1. Review core computer science concepts, including data structures, algorithms, and operating systems.
  2. Practice coding problems, focusing on efficiency and clarity.
  3. Study system design principles and common architectural patterns.
  4. Prepare examples of past projects, highlighting your contributions and the impact.
  5. Understand Mercari's business, products, and engineering culture.
  6. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Prepare thoughtful questions to ask the interviewers.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: DSA fundamentals and practice (LeetCode Easy/Medium).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, sorting, searching, dynamic programming, and greedy algorithms. Practice problems on LeetCode (Easy/Medium).

Questions

Commonly asked.

  • Describe a time you had to deal with a difficult stakeholder. How did you manage the situation?
  • How would you design a URL shortening service like bit.ly?
  • What are the trade-offs between using a monolithic architecture versus a microservices architecture?
  • Write a function to find the kth largest element in an unsorted array.
  • Tell me about a project you are particularly proud of and your role in it.
  • How do you approach debugging a complex issue in a production environment?
  • Explain the concept of eventual consistency.
  • How would you optimize the performance of a slow-running database query?
  • Describe a situation where you disagreed with your team's technical direction. What did you do?
  • Design a system to handle real-time analytics for a popular e-commerce platform.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Global (Remote/On-site)

Interview focus

Deep understanding of distributed systems and microservices architecture.Proficiency in cloud platforms (AWS, GCP, Azure).Experience with large-scale data processing and analytics.Strong problem-solving and debugging skills in a production environment.Ability to lead technical discussions and mentor junior engineers.

Common questions

  • How would you design a system to handle real-time notifications for a large user base?
  • Describe a challenging technical problem you faced and how you solved it.
  • Explain the trade-offs between different database technologies for a specific use case.
  • How do you ensure the scalability and reliability of your code?
  • Tell me about a time you had to mentor a junior engineer.

Tips

  • Familiarize yourself with Mercari's tech stack and common architectural patterns.
  • Prepare detailed examples of your contributions to complex projects.
  • Be ready to discuss your experience with performance optimization and scalability challenges.
  • Practice explaining technical concepts clearly and concisely.
  • Research Mercari's recent technical blog posts or open-source contributions.

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.