# Software Engineer
**Role:** Software Engineer · **Level:** SWE III
**Company:** [Nike](https://scaleengineer.com/companies/nike)
**Difficulty:** Medium to Hard
**Salary:** US$130000 - US$165000
**Experience:** 5 - 8
**Timeline:** ~14 days
This interview process is for a Software Engineer III position at Nike, focusing on assessing technical skills, problem-solving abilities, and cultural fit within the company.
Canonical: https://scaleengineer.com/interviews/nike/swe-iii-software-engineer
---
## Overall evaluation

- Technical and Behavioral Assessment

## Questions asked

- Design a system to handle real-time inventory updates for Nike's global supply chain.
- Given a large dataset of customer purchase history, how would you build a feature to recommend new products?
- Describe a challenging technical problem you faced and how you solved it.
- How would you optimize the performance of a web application experiencing high traffic?
- Tell me about a time you disagreed with a teammate or manager. How did you handle it?
- What are the trade-offs between SQL and NoSQL databases for a retail analytics platform?
- How do you ensure the quality and reliability of your code?
- Explain the concept of eventual consistency in distributed systems.
- How would you approach debugging a performance issue in a production environment?
- What are your thoughts on test-driven development (TDD)?

## Preparation tips

### lists

- Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, sorting, searching).
- Practice coding problems on platforms like LeetCode, HackerRank, or similar.
- Study system design principles, focusing on scalability, availability, and performance.
- Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result).
- Research Nike's products, mission, and recent news to understand the business context.
- Brush up on your preferred programming language(s) and relevant frameworks.
- Understand distributed systems concepts like caching, load balancing, and message queues.

### studyPlan

- {"title":"Data Structures and Algorithms","longDescription":"Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, trees, hash maps) and algorithms (sorting, searching, recursion, dynamic programming). Practice 2-3 problems daily. Review Big O notation for time and space complexity.","shortDescription":"Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 2-3 problems/day."}
- {"title":"System Design","longDescription":"Weeks 3-4: Dive into system design concepts. Study topics like database design, caching strategies, load balancing, API design, microservices vs. monoliths, and distributed systems. Read case studies and practice designing common systems (e.g., URL shortener, Twitter feed).","shortDescription":"Weeks 3-4: System Design principles. Study databases, caching, load balancing, APIs."}
- {"title":"Behavioral Preparation","longDescription":"Week 5: Prepare for behavioral questions. Identify key projects and experiences that demonstrate leadership, teamwork, problem-solving, and conflict resolution. Practice answering using the STAR method. Research Nike's values and culture.","shortDescription":"Week 5: Behavioral questions prep. Use STAR method. Research Nike values."}
- {"title":"Mock Interviews and Review","longDescription":"Week 6: Mock interviews. Conduct mock interviews with peers or mentors, focusing on both technical and behavioral aspects. Get feedback on your communication and problem-solving approach. Review any weak areas identified.","shortDescription":"Week 6: Mock interviews. Focus on technical and behavioral. Get feedback."}

## Location differences

- {"location":"USA (e.g., Beaverton, OR; New York, NY)","differences":{"tips":["Be prepared to discuss specific examples of scaling challenges you've overcome.","Familiarize yourself with Nike's tech stack and recent innovations if possible.","Emphasize collaboration and leadership qualities."],"interviewFocus":["Deep understanding of distributed systems and cloud-native technologies (AWS/GCP/Azure).","Experience with large-scale data processing and analytics relevant to retail and consumer behavior.","Ability to mentor junior engineers and contribute to architectural decisions."],"commonQuestions":["How would you optimize a distributed caching system for a high-traffic e-commerce platform like Nike.com?","Describe a time you had to deal with a significant technical debt. How did you approach it?","Discuss the trade-offs between microservices and a monolithic architecture in the context of a large-scale retail application."]}}
- {"location":"Europe (e.g., Amsterdam, Netherlands)","differences":{"tips":["Highlight projects where you've had a significant impact on product features or system performance.","Be ready to articulate your thought process clearly and concisely.","Showcase your ability to adapt to new technologies and learn quickly."],"interviewFocus":["Proficiency in backend development (Java/Python/Node.js) and experience with relevant frameworks.","Knowledge of data structures and algorithms, with an emphasis on practical application.","Understanding of agile methodologies and software development best practices."],"commonQuestions":["How would you design a recommendation engine for Nike's product catalog, considering user preferences and purchase history?","Explain your experience with CI/CD pipelines and how you've improved deployment efficiency.","Discuss a complex bug you encountered and your systematic approach to debugging and resolution."]}}

## Round 1: Coding and Algorithms Assessment
**Type:** Technical Interview (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Coding challenge focused on data structures and algorithms.
This round focuses on your core programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise an efficient solution, write clean code, and explain your reasoning. Expect questions that test your knowledge of arrays, strings, linked lists, trees, graphs, sorting, and searching.
**Interviewers look for:** A systematic approach to problem-solving.; Proficiency in coding in at least one major language.; Understanding of time and space complexity.; Ability to write clean, maintainable code.
**Evaluation criteria:** Correctness of the algorithm.; Efficiency of the solution (time and space complexity).; Code clarity and readability.; Ability to handle edge cases and constraints.; Communication of the thought process.
**Common rejection reasons:** Inability to articulate thought process clearly.; Lack of fundamental understanding of data structures and algorithms.; Poorly optimized code solutions.; Failure to consider edge cases or constraints.
## Questions

- Given an array of integers, find the contiguous subarray with the largest sum.
- Implement a function to reverse a linked list.
- Find the k-th smallest element in a binary search tree.

## Preparation tips

- Practice coding problems regularly.
- Focus on understanding the underlying algorithms and data structures.
- Practice explaining your thought process out loud.
- Be prepared to discuss trade-offs of different approaches.

## Round 2: System Design and Architecture
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Design a scalable, distributed system.
This round assesses your ability to design large-scale, distributed systems. You'll be presented with an open-ended problem (e.g., design a URL shortener, a social media feed, or an e-commerce checkout system) and expected to outline a high-level architecture. Focus on identifying requirements, defining APIs, choosing appropriate data stores, considering scalability, availability, and potential bottlenecks. Discuss trade-offs and justify your decisions.
**Interviewers look for:** Experience in designing complex, distributed systems.; Knowledge of various architectural patterns.; Ability to think about system constraints and requirements.; Pragmatic approach to problem-solving.; Understanding of databases, caching, and networking.
**Evaluation criteria:** Scalability of the proposed design.; Reliability and fault tolerance.; Performance considerations.; Clarity and justification of design choices.; Understanding of trade-offs.; Ability to handle large-scale data and traffic.
**Common rejection reasons:** Inability to design scalable and robust systems.; Lack of understanding of distributed systems concepts.; Poor consideration of trade-offs and failure modes.; Inadequate communication of design choices.
## Questions

- Design a system like Twitter's news feed.
- Design a rate limiter for an API.
- Design a distributed cache system.

## Preparation tips

- Study common system design patterns and principles.
- Practice designing various systems.
- Understand concepts like CAP theorem, eventual consistency, and database sharding.
- Be prepared to draw diagrams and explain your design clearly.

## Round 3: Behavioral and Managerial Fit
**Type:** Behavioral and Managerial Interview · **Difficulty:** Medium · **Duration:** 45 min
Assesses cultural fit, teamwork, and past experiences.
This interview focuses on your behavioral and cultural fit within Nike. You'll be asked questions about your past experiences, how you handle specific situations (e.g., conflict resolution, dealing with ambiguity, managing priorities), and your motivations. Use the STAR method (Situation, Task, Action, Result) to provide clear, concise, and impactful answers. Be prepared to discuss your career goals and why you're interested in Nike.
**Interviewers look for:** Examples of collaboration and teamwork.; How you handle challenges and failures.; Your approach to learning and growth.; Your understanding of the role and Nike's mission.; Enthusiasm and positive attitude.
**Evaluation criteria:** Alignment with Nike's values (Innovation, Community, Integrity, etc.).; Teamwork and collaboration skills.; Problem-solving approach in past projects.; Leadership potential.; Communication and interpersonal skills.; Motivation and passion for the role and company.
**Common rejection reasons:** Poor communication skills.; Lack of self-awareness or inability to reflect on past experiences.; Inability to demonstrate alignment with company values.; Negative attitude or lack of enthusiasm.; Failure to provide specific examples.
## Questions

- Tell me about a time you had to work with a difficult teammate. How did you handle it?
- Describe a project where you faced a significant technical challenge. How did you overcome it?
- Why are you interested in working at Nike?
- How do you stay updated with new technologies?

## Preparation tips

- Prepare specific examples using the STAR method.
- Research Nike's mission, values, and culture.
- Think about your strengths and weaknesses in a professional context.
- Be ready to articulate why you want to work at Nike.
- Show enthusiasm and genuine interest.