# Software Engineer
**Role:** Software Engineer · **Level:** MTS 2
**Company:** [eBay](https://scaleengineer.com/companies/ebay)
**Difficulty:** Medium to Hard
**Salary:** US$110000 - US$150000
**Experience:** 3 - 7
**Timeline:** ~14 days
This interview process for a Software Engineer (MTS 2) at eBay is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. The process typically involves multiple rounds, starting with an initial HR screening, followed by technical interviews focusing on data structures, algorithms, and system design, and concluding with a behavioral or managerial interview.
Canonical: https://scaleengineer.com/interviews/ebay/mts-2-software-engineer
---
## Overall evaluation

- Technical Skills
- Communication
- Cultural Fit

## Questions asked

- Given an array of integers, find the contiguous subarray with the largest sum.
- Design a system to handle real-time notifications for a social media platform.
- Explain the difference between a process and a thread.
- How would you implement a Least Recently Used (LRU) cache?
- Describe a situation where you had a conflict with a teammate and how you resolved it.
- What are the trade-offs when choosing between microservices and a monolithic architecture?
- Write a function to reverse a linked list.
- How do you ensure the scalability of your applications?
- Tell me about a time you failed. What did you learn from it?
- Design an API for a simple e-commerce product catalog.

## Preparation tips

### lists

- Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
- Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks, focusing on medium to hard difficulty.
- Study system design concepts, including scalability, load balancing, caching, databases, and distributed systems.
- Prepare to discuss your past projects in detail, highlighting your contributions and technical challenges.
- Understand object-oriented programming (OOP) principles and design patterns.
- Research eBay's products, services, and company culture.
- Prepare answers to common behavioral questions using the STAR method (Situation, Task, Action, Result).

### studyPlan

- {"title":"Foundational Data Structures and Algorithms","longDescription":"Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables) and their common operations. Practice basic algorithms like sorting (Merge Sort, Quick Sort) and searching (Binary Search). Cover time and space complexity analysis (Big O notation).","shortDescription":"Weeks 1-2: Data Structures & Basic Algorithms. Big O."}
- {"title":"Advanced Algorithms","longDescription":"Weeks 3-4: Dive deeper into algorithms such as Dynamic Programming, Greedy Algorithms, Graph Algorithms (BFS, DFS, Dijkstra's), and String Manipulation. Practice problems related to these topics.","shortDescription":"Weeks 3-4: Advanced Algorithms (DP, Greedy, Graphs)."}
- {"title":"System Design","longDescription":"Weeks 5-6: Begin system design preparation. Study concepts like API design, database choices (SQL vs. NoSQL), caching strategies, load balancing, message queues, and distributed system patterns. Work through common system design case studies.","shortDescription":"Weeks 5-6: System Design Fundamentals & Case Studies."}
- {"title":"Behavioral Preparation","longDescription":"Week 7: Focus on behavioral preparation. Review your resume and identify key projects and experiences. Prepare stories using the STAR method for common behavioral questions related to teamwork, problem-solving, leadership, and handling failure.","shortDescription":"Week 7: Behavioral Questions (STAR Method)."}
- {"title":"Mock Interviews and Refinement","longDescription":"Week 8: Mock interviews and final review. Practice coding and system design problems under timed conditions. Refine your explanations and ensure you can articulate your thought process clearly. Review any weak areas identified during practice.","shortDescription":"Week 8: Mock Interviews & Final Review."}

## Location differences

- {"location":"United States","differences":{"tips":["For US-based roles, be prepared for in-depth system design discussions and coding challenges.","Familiarize yourself with common distributed system patterns.","Practice explaining your thought process clearly.","Research eBay's specific tech stack and recent projects."],"interviewFocus":["System Design: Emphasis on scalability, reliability, and distributed systems.","Problem-Solving: Ability to break down complex problems and devise efficient solutions.","Coding Proficiency: Clean, efficient, and well-tested code.","Behavioral: Teamwork, communication, and adaptability."],"commonQuestions":["How would you design a URL shortener service?","Discuss a challenging technical problem you faced and how you solved it.","Explain the concept of eventual consistency.","What are the trade-offs between SQL and NoSQL databases?","Describe your experience with cloud platforms like AWS or Azure."]}}
- {"location":"India","differences":{"tips":["For India-based roles, expect a strong focus on DSA and coding.","Be ready to write code on a whiteboard or shared editor.","Understand time and space complexity thoroughly.","Prepare examples of how you've contributed to team success."],"interviewFocus":["Coding Skills: Strong emphasis on algorithms and data structures.","Technical Depth: Understanding of core computer science concepts.","Collaboration: Ability to work effectively in a team environment.","Adaptability: Willingness to learn and adapt to new technologies."],"commonQuestions":["How would you optimize a database query?","Describe a project where you had to work with legacy code.","What are the principles of RESTful API design?","Explain the difference between concurrency and parallelism.","How do you approach testing your code?"]}}

## Round 1: Data Structures and Algorithms (DSA) Round 1
**Type:** Technical Phone Screen / Online Assessment · **Difficulty:** Medium · **Duration:** 45 min
Coding challenge focused on data structures and algorithms.
This round typically involves a coding challenge, often presented as a problem to solve on a shared online editor or whiteboard. The interviewer will assess your ability to understand the problem, devise an algorithm, implement it efficiently, and analyze its time and space complexity. Expect questions related to data structures and algorithms.
**Interviewers look for:** Ability to translate a problem into code.; Clean, readable, and efficient code.; Understanding of edge cases and error handling.; Clear explanation of the solution and its complexity.
**Evaluation criteria:** Problem-solving approach; Coding proficiency; Understanding of data structures and algorithms; Time and space complexity analysis
**Common rejection reasons:** Poor communication of thought process.; Inability to write correct or efficient code.; Lack of understanding of fundamental data structures and algorithms.; Not asking clarifying questions.
## Questions

- Given a binary tree, find its inorder traversal.
- Find the kth smallest element in an unsorted array.
- Implement a function to check if a string is a palindrome.

## Preparation tips

- Practice coding problems focusing on arrays, strings, linked lists, trees, and graphs.
- Be comfortable with common algorithms like sorting, searching, and recursion.
- Practice explaining your code and complexity analysis out loud.

## Round 2: System Design Round
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Design a scalable system based on a given problem statement.
This round focuses on your ability to design scalable, reliable, and maintainable software systems. You'll be given an open-ended problem (e.g., design Twitter's feed, design a URL shortener) and expected to discuss various components, data models, APIs, and trade-offs. This is a crucial round for assessing your architectural thinking.
**Interviewers look for:** Ability to design complex systems from scratch.; Knowledge of various architectural patterns.; Consideration for non-functional requirements (availability, latency, consistency).; Ability to justify design decisions.
**Evaluation criteria:** System design principles; Scalability and performance; Trade-off analysis; Understanding of distributed systems; Clarity of design choices
**Common rejection reasons:** Inability to design scalable and reliable systems.; Lack of understanding of distributed system concepts.; Poor trade-off analysis.; Not considering failure scenarios.
## Questions

- Design a rate limiter.
- Design a web crawler.
- Design a notification service.

## Preparation tips

- Study common system design patterns and concepts.
- Practice designing well-known systems.
- Be prepared to discuss databases, caching, load balancing, and message queues.
- Think about scalability, availability, and fault tolerance.

## Round 3: Behavioral and Managerial Round
**Type:** Behavioral / Managerial Interview · **Difficulty:** Medium · **Duration:** 45 min
Behavioral questions to assess cultural fit and past experiences.
This round assesses your behavioral competencies and how you align with eBay's culture. You'll be asked questions about your past experiences, focusing on teamwork, conflict resolution, handling challenges, leadership, and learning. The interviewer wants to understand how you operate within a team and contribute to the overall work environment.
**Interviewers look for:** Evidence of collaboration and teamwork.; Ownership and accountability for work.; Ability to learn from mistakes and challenges.; Alignment with eBay's core values.; Good communication and interpersonal skills.
**Evaluation criteria:** Behavioral competencies; Teamwork and collaboration; Problem-solving approach in past projects; Communication skills; Cultural fit
**Common rejection reasons:** Lack of clarity in explaining past experiences.; Inability to provide specific examples using the STAR method.; Poor alignment with team values or company culture.; Negative attitude or lack of enthusiasm.
## Questions

- Tell me about a time you had to work with a difficult colleague.
- Describe a project where you took initiative beyond your defined role.
- How do you handle tight deadlines and pressure?

## Preparation tips

- Prepare specific examples using the STAR method for common behavioral questions.
- Reflect on your strengths, weaknesses, and career goals.
- Be ready to discuss your contributions to past projects and team dynamics.
- Show enthusiasm for eBay and the role.

## Round 4: Technical Deep Dive Round
**Type:** Advanced Technical Interview · **Difficulty:** Medium to Hard · **Duration:** 60 min
In-depth technical discussion and problem-solving.
This round often serves as a deeper dive into your technical expertise, potentially focusing on specific areas relevant to the team you're interviewing for (e.g., backend development, distributed systems, specific programming languages). It might involve more complex coding problems, debugging scenarios, or in-depth discussions about your past technical contributions.
**Interviewers look for:** Deep understanding of the technologies used at eBay.; Practical experience in building and shipping software.; Ability to troubleshoot and debug complex issues.; Passion for technology and continuous learning.
**Evaluation criteria:** Technical depth in relevant areas (e.g., backend, frontend, specific languages).; Problem-solving skills applied to specific technologies.; Understanding of software development lifecycle.; Ability to discuss past technical decisions and their impact.
**Common rejection reasons:** Significant gaps in technical knowledge.; Inability to articulate design choices or justify trade-offs.; Lack of depth in specific technical areas relevant to the role.; Poor communication during the interview.
## Questions

- Explain the internals of a garbage collector in Java/Python.
- How would you optimize a slow-performing API endpoint?
- Discuss the challenges of maintaining a large codebase.

## Preparation tips

- Brush up on the specific technologies mentioned in the job description.
- Be prepared to discuss the architecture and technical challenges of your previous projects in detail.
- Review advanced concepts related to the role (e.g., concurrency, performance optimization, database internals).