Mercari is looking for a talented Software Engineer at the MG2 level to join our dynamic team. This role involves designing, developing, and maintaining scalable and high-quality software solutions that power our e-commerce platform. You will collaborate with cross-functional teams to deliver innovative features and contribute to the continuous improvement of our engineering practices.
Rounds·3
Timeline·~14d
Experience·5 - 8 yrs
Comp band·US$110000 - US$150000
Interview time·150 min
Evaluation
What they measure.
Technical proficiency in relevant programming languages and frameworks.
Ability to design and implement scalable and robust solutions.
Strong problem-solving and analytical skills.
Effective communication and collaboration abilities.
Understanding of software development best practices and methodologies.
Cultural fit and alignment with Mercari's values.
System design capabilities, including scalability, reliability, and maintainability.
Experience with distributed systems and microservices architecture.
Knowledge of cloud platforms and services.
Proficiency in data structures and algorithms.
Code quality, testing, and debugging skills.
Behavioral competencies, such as teamwork, communication, and adaptability.
Leadership potential and ability to mentor others.
Proactiveness and ownership of tasks.
Alignment with Mercari's mission and values.
Preparation
How to prepare.
Tips
01Review core computer science concepts, including data structures, algorithms, and complexity analysis.
02Practice coding problems on platforms like LeetCode, HackerRank, or similar.
03Study system design principles and common architectural patterns.
04Prepare to discuss your past projects in detail, focusing on your contributions and technical challenges.
05Research Mercari's products, services, and engineering culture.
06Prepare questions to ask the interviewers about the role, team, and company.
07Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
Study plan
Fig · Study plan — 04 phases
01 / 04
01
Phase 01 of 04
Data Structures & Algorithms
Weeks 1-2: DSA fundamentals and practice.
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 related to each topic, aiming for optimal solutions.
02
Phase 02 of 04
System Design
Weeks 3-4: System Design principles and patterns.
Weeks 3-4: Dive into System Design. Study concepts like scalability, availability, reliability, load balancing, caching, databases (SQL vs. NoSQL), message queues, and API design. Work through common system design interview questions.
03
Phase 03 of 04
Behavioral & Situational
Week 5: Behavioral questions and STAR method.
Week 5: Prepare for Behavioral and Situational questions. Reflect on your past experiences and prepare examples using the STAR method. Understand Mercari's values and how your experiences align with them.
04
Phase 04 of 04
Project Review & Tech Stack
Week 6: Project deep dive and tech stack review.
Week 6: Review your projects and prepare to discuss them in detail. Brush up on specific technologies relevant to Mercari's stack (e.g., Go, Java, Python, AWS, Kubernetes). Practice mock interviews.
Questions
Commonly asked.
Describe a complex system you designed or contributed to. What were the key challenges and how did you overcome them?
How would you design a URL shortening service like bit.ly?
Given a large dataset, how would you find the top K most frequent elements?
Tell me about a time you disagreed with a technical decision made by your team. How did you handle it?
How do you ensure the scalability and reliability of your code?
What are the trade-offs between different database technologies (e.g., SQL vs. NoSQL)?
Explain the concept of eventual consistency.
How would you optimize the performance of a web application?
Describe your experience with CI/CD pipelines.
What are your thoughts on microservices vs. monolithic architectures?
Locations
Regional differences.
Fig · Regions — 02 locations
01 / 02
Location
Remote/Hybrid
Interview focus
Deep understanding of distributed systems and scalability.Experience with cloud platforms (AWS, GCP, Azure).Proficiency in backend development languages (e.g., Go, Java, Python).Strong problem-solving skills in a high-traffic environment.
Common questions
How would you handle a sudden surge in traffic on our platform?
Describe a time you had to optimize a slow-performing database query.
What are your strategies for ensuring code quality and maintainability in a large codebase?
Discuss your experience with cloud-native architectures (e.g., microservices, serverless).
Tips
Be prepared to discuss specific examples of scaling challenges you've faced.
Familiarize yourself with Mercari's tech stack and common architectural patterns.
Highlight any experience with performance tuning and optimization.
Showcase your ability to work effectively in a remote or hybrid team setting.
Location
On-site (Tokyo)
Interview focus
System design and architectural thinking.Problem-solving and analytical skills.Collaboration and communication within a team.Understanding of software development lifecycle and best practices.
Common questions
How do you approach designing a new feature from scratch?
Describe a challenging technical problem you solved and your thought process.
What are your thoughts on testing strategies for microservices?
How do you stay updated with the latest industry trends and technologies?
Tips
Prepare to walk through your design process for a complex system.
Be ready to articulate your reasoning behind technical decisions.
Emphasize your ability to mentor junior engineers.
Showcase your understanding of Mercari's business domain and user needs.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
Med
Data Structures And Algorithms Interview · 45 min · Software Engineer
This round focuses on your fundamental programming skills. You will be asked to solve one or two coding problems that test your knowledge of data structures and algorithms. The interviewer will assess your ability to write clean, efficient, and correct code, as well as your approach to problem-solving and your communication skills.
What they look for
Strong grasp of DSA.Clean and efficient coding practices.Problem-solving approach.Ability to communicate technical ideas.
Evaluation
Correctness of the solution.
Efficiency of the algorithm (time and space complexity).
Code clarity and readability.
Ability to explain the thought process.
Handling of edge cases.
Sample questions
Given an array of integers, find the contiguous subarray with the largest sum.
ArrayDynamic Programming
Implement a function to reverse a linked list.
Linked List
Find the kth smallest element in a binary search tree.
TreeBinary Search Tree
Prep for this round
01Practice coding problems regularly.
02Understand the time and space complexity of your solutions.
03Be prepared to explain your approach before you start coding.
04Test your code with various inputs, including edge cases.
Common rejection reasons
×Inability to articulate thought process clearly.
×Lack of understanding of fundamental data structures and algorithms.
×Inefficient or incorrect code implementation.
×Poor time management during the coding exercise.
Hard
System Design Interview · 60 min · Senior Software Engineer / Engineering Manager
In this round, you will be presented with a high-level system design problem. You'll need to design a scalable and reliable system, discussing various components, their interactions, and potential bottlenecks. The focus is on your ability to think critically about system architecture, trade-offs, and how to build for scale.
What they look for
Strong system design thinking.Knowledge of distributed systems.Ability to handle ambiguity.Pragmatic approach to problem-solving.
Evaluation
Clarity and completeness of the system design.
Scalability and performance considerations.
Reliability and fault tolerance.
Understanding of trade-offs between different design choices.
Ability to justify design decisions.
Sample questions
Design a system to handle real-time analytics for a website.
System DesignScalabilityReal-time
Design a distributed key-value store.
System DesignDistributed SystemsDatabases
Design a notification service.
System DesignMicroservices
Prep for this round
01Study common system design patterns.
02Practice designing large-scale systems like Twitter feed, URL shortener, etc.
03Think about scalability, availability, consistency, and latency.
04Be prepared to discuss database choices, caching strategies, and load balancing.
Common rejection reasons
×Inability to design a scalable and robust system.
×Lack of consideration for trade-offs and constraints.
×Poor understanding of distributed systems concepts.
×Failure to address potential failure points.
Med
Behavioral Interview · 45 min · Engineering Manager / Senior Team Member
This round assesses your behavioral and situational competencies. You'll be asked questions about your past experiences, how you handle challenges, work in teams, and your motivations. The goal is to understand your working style, your ability to collaborate, and how you align with Mercari's culture and values.
What they look for
Collaboration and teamwork.Ownership and accountability.Adaptability and resilience.Alignment with Mercari's culture.
Evaluation
Teamwork and collaboration skills.
Communication effectiveness.
Problem-solving approach in past projects.
Adaptability and learning agility.
Cultural fit with Mercari's values.
Sample questions
Tell me about a time you faced a significant technical challenge. How did you approach it, and what was the outcome?
BehavioralProblem Solving
Describe a situation where you had to work with a difficult team member. How did you manage the relationship?
BehavioralTeamwork
Why are you interested in Mercari and this specific role?
BehavioralMotivation
Prep for this round
01Prepare examples using the STAR method.
02Be honest and authentic in your responses.
03Show enthusiasm for the role and the company.
04Ask thoughtful questions about the team and culture.
Common rejection reasons
×Poor communication or interpersonal skills.
×Lack of alignment with company values.
×Inability to provide specific examples of past experiences.