Nike

U Band

Software EngineerSWE IIMedium to Hard

This interview process is for a Software Engineer (SWE II, U Band) at Nike. It assesses technical skills, problem-solving abilities, and cultural fit within the company.

Rounds

3

Timeline

~14 days

Experience

2 - 5 yrs

Salary Range

US$95000 - US$130000

Total Duration

150 min

Overall Evaluation Criteria

Technical and Behavioral Assessment

Technical Proficiency: Depth of knowledge in relevant programming languages, data structures, algorithms, and system design.
Problem-Solving Skills: Ability to analyze complex problems, devise efficient solutions, and articulate the thought process.
Behavioral Competencies: Teamwork, communication, adaptability, leadership potential, and alignment with Nike's values.
Cultural Fit: How well the candidate aligns with Nike's mission, values, and collaborative work environment.

Performance Metrics

Code Quality: Readability, efficiency, and maintainability of the code written during coding challenges.
System Design: Ability to design scalable, reliable, and maintainable systems, considering trade-offs.
Communication: Clarity and effectiveness in explaining technical concepts and solutions.
Learning Agility: Willingness and ability to learn new technologies and adapt to changing requirements.

Preparation Tips

1Understand Nike's mission, values, and recent business strategies.
2Brush up on core computer science fundamentals: data structures, algorithms, operating systems, and databases.
3Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
4Prepare for system design questions, thinking about scalability, reliability, and trade-offs.
5Review behavioral interview questions using the STAR method (Situation, Task, Action, Result).
6Research common interview questions for Software Engineers at Nike.
7Prepare thoughtful questions to ask the interviewer about the role, team, and company culture.

Study Plan

1

Core Computer Science Fundamentals

Weeks 1-2: Data Structures & Algorithms. Practice coding problems.

Weeks 1-2: Focus on Data Structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and Algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice coding problems on these topics daily. Review Big O notation for time and space complexity.

2

System Design

Weeks 3-4: System Design. Study scalability, databases, microservices.

Weeks 3-4: Dive into System Design concepts. Study topics like scalability, load balancing, caching, databases (SQL vs. NoSQL), microservices, and API design. Work through common system design case studies relevant to e-commerce and large-scale applications.

3

Behavioral Preparation

Week 5: Behavioral Interview Prep. Use STAR method.

Week 5: Prepare for behavioral interviews. Reflect on past experiences and prepare stories using the STAR method for common questions related to teamwork, problem-solving, leadership, and handling challenges. Understand Nike's core values.

4

Mock Interviews and Review

Week 6: Mock Interviews. Practice and get feedback.

Week 6: Mock interviews. Conduct mock interviews with peers or mentors to simulate the actual interview environment. Get feedback on technical answers, communication, and overall presentation. Review any weak areas identified.

Commonly Asked Questions

Tell me about a challenging project you worked on and how you overcame obstacles.
How would you design a system to handle Nike's global product catalog?
Given an array of integers, find the contiguous subarray with the largest sum.
Describe a time you disagreed with a teammate or manager. How did you handle it?
How do you ensure the scalability and reliability of your code?
What are your thoughts on test-driven development (TDD)?
Explain the concept of a distributed cache and its use cases.
How would you optimize a slow-performing database query?
Tell me about a time you failed. What did you learn from it?
Design an API for a feature like Nike's 'Run Club' activity tracking.

Location-Based Differences

USA

Interview Focus

Understanding of scalable systems relevant to retail and sports.Ability to adapt to fast-paced, data-driven environments.Knowledge of cloud technologies and their application in a global business.

Common Questions

How would you design a system to handle Nike's global inventory management?

Describe a time you had to optimize a process for a large-scale application.

What are your thoughts on the latest trends in e-commerce technology relevant to Nike?

Tips

Research Nike's recent technological initiatives and product launches.
Be prepared to discuss how your skills can contribute to Nike's digital transformation.
Highlight any experience with large-scale data processing or e-commerce platforms.

Europe

Interview Focus

Proficiency in data structures and algorithms.Experience with distributed systems and microservices architecture.Strong problem-solving and debugging skills.

Common Questions

How would you approach building a recommendation engine for Nike's product catalog?

Discuss a challenging technical problem you solved in a team environment.

What are your strategies for ensuring code quality and maintainability in a large codebase?

Tips

Practice coding problems related to arrays, strings, trees, and graphs.
Review common algorithms like sorting, searching, and dynamic programming.
Be ready to explain your thought process clearly and concisely.

Asia

Interview Focus

Understanding of software development lifecycle (SDLC).Experience with agile methodologies (Scrum, Kanban).Collaboration and communication skills.

Common Questions

How would you design a mobile application for Nike's fitness tracking features?

Describe a situation where you had to collaborate with cross-functional teams.

What are your thoughts on agile development methodologies and how they apply to Nike's workflow?

Tips

Familiarize yourself with Nike's mobile app ecosystem.
Be prepared to discuss your experience with version control systems like Git.
Showcase your ability to work effectively in a team setting.

Process Timeline

1
Data Structures and Algorithms45m
2
System Design60m
3
Behavioral and Managerial45m

Interview Rounds

3-step process with detailed breakdown for each round

1

Data Structures and Algorithms

Solve coding problems focusing on data structures and algorithms.

Technical Interview (Coding)Medium
45 minSoftware Engineer (Peer)

This round focuses on your fundamental computer science knowledge. You will be asked to solve one or two coding problems, typically involving 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 debugging.

What Interviewers Look For

Strong understanding of data structures and algorithms.Ability to translate requirements into working code.Clear communication of thought process.Attention to detail in coding.

Evaluation Criteria

Correctness of the solution.
Efficiency of the solution (time and space complexity).
Code clarity and style.
Problem-solving approach.
Communication of the solution.

Questions Asked

Given a binary tree, invert the binary tree.

TreeRecursionIteration

Find the kth largest element in an unsorted array.

ArraySortingHeap

Implement a function to check if a string is a palindrome.

StringTwo Pointers

Preparation Tips

1Practice coding problems on platforms like LeetCode, HackerRank.
2Focus on common data structures (arrays, linked lists, trees, graphs) and algorithms (sorting, searching, dynamic programming).
3Be prepared to explain your time and space complexity analysis.
4Practice writing code on a whiteboard or in a shared editor.

Common Reasons for Rejection

Inability to articulate thought process clearly.
Lack of fundamental data structures and algorithms knowledge.
Poorly written or inefficient code.
Not asking clarifying questions.
2

System Design

Design a scalable system for a given problem.

System Design InterviewHard
60 minSenior Software Engineer / Architect

This round assesses your ability to design and architect software systems. You'll be given an open-ended problem, such as designing a specific feature or a large-scale system (e.g., a URL shortener, a social media feed, or Nike's inventory management system). The focus is on your ability to break down the problem, identify components, consider scalability, reliability, and make informed design choices.

What Interviewers Look For

Experience designing complex systems.Deep understanding of system design principles.Ability to think critically about trade-offs.Knowledge of distributed systems and cloud technologies.

Evaluation Criteria

Scalability of the proposed solution.
Reliability and fault tolerance.
Understanding of trade-offs (e.g., consistency vs. availability).
Knowledge of relevant technologies (databases, caching, messaging queues).
Clarity and structure of the design.
Ability to handle ambiguity and edge cases.

Questions Asked

Design a system to handle Nike's global inventory management.

System DesignScalabilityDatabasesConcurrency

Design a URL shortening service like bit.ly.

System DesignScalabilityHashingDatabases

Design a news feed system for a social media platform.

System DesignScalabilityCachingDatabasesAPIs

Preparation Tips

1Study common system design patterns and concepts.
2Review case studies of popular systems (e.g., Twitter feed, Netflix streaming).
3Practice designing systems for scale, considering databases, caching, load balancing, and APIs.
4Be prepared to discuss trade-offs and justify your design decisions.

Common Reasons for Rejection

Inability to design scalable and reliable systems.
Ignoring trade-offs in design decisions.
Lack of understanding of distributed systems concepts.
Poor communication of design choices.
3

Behavioral and Managerial

Discuss past experiences and behavioral competencies.

Behavioral InterviewMedium
45 minHiring Manager / Team Lead

This round focuses on your behavioral and situational responses. You'll be asked questions about your past experiences, how you handle specific situations, and your motivations. The goal is to understand your work style, how you collaborate with others, and whether you align with Nike's culture and values.

What Interviewers Look For

Evidence of collaboration and teamwork.Ability to handle conflict and difficult situations.Examples of initiative and ownership.Cultural fit with Nike's environment.Passion for sports and Nike's brand.

Evaluation Criteria

Teamwork and collaboration skills.
Problem-solving approach in past situations.
Communication clarity and effectiveness.
Adaptability and resilience.
Alignment with Nike's values (e.g., innovation, integrity, teamwork).
Motivation and passion for the role and company.

Questions Asked

Tell me about a time you had to work with a difficult team member. How did you handle it?

BehavioralTeamworkConflict Resolution

Describe a project where you took initiative. What was the outcome?

BehavioralInitiativeOwnership

How do you stay updated with the latest technologies in software development?

BehavioralLearningAdaptability

Why are you interested in working at Nike?

BehavioralMotivationCompany Fit

Preparation Tips

1Prepare examples using the STAR method (Situation, Task, Action, Result) for common behavioral questions.
2Research Nike's mission, vision, and values.
3Be ready to discuss your strengths, weaknesses, and career aspirations.
4Show enthusiasm for Nike and the role.

Common Reasons for Rejection

Poor communication skills.
Lack of self-awareness.
Inability to provide specific examples.
Not demonstrating alignment with company values.
Negative attitude or lack of enthusiasm.

Commonly Asked DSA Questions

Frequently asked coding questions at Nike

View all
Longest Substring Without Repeating CharactersMEDIUMValid ParenthesesEASYNext PermutationMEDIUMMaximum SubarrayMEDIUMBest Time to Buy and Sell Stock IIMEDIUMMin StackMEDIUMHappy NumberEASYDiagonal TraverseMEDIUMCan Place FlowersEASYDesign Graph With Shortest Path CalculatorHARD