Scale Engineer

Software Engineer

Software EngineerSWE IIIMedium to Hard

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.

Rounds·3

Timeline·~14d

Experience·5 - 8 yrs

Comp band·US$130000 - US$165000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills: Ability to break down complex problems into manageable parts.
  • Technical proficiency: Depth of knowledge in relevant programming languages, data structures, and algorithms.
  • System design: Ability to design scalable, reliable, and maintainable systems.
  • Behavioral and cultural fit: Alignment with Nike's values, teamwork, communication, and leadership potential.
  • Communication skills: Clarity and effectiveness in explaining technical concepts and thought processes.

Preparation

How to prepare.

Tips

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

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 2-3 problems/day.

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.

Questions

Commonly 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)?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

USA (e.g., Beaverton, OR; New York, NY)

Interview focus

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.

Common questions

  • 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.

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.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Med

Technical Interview (Coding) · 45 min · Software Engineer (Peer)

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.

What they 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

  • 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.

Sample questions

  • Given an array of integers, find the contiguous subarray with the largest sum.

    ArrayDynamic ProgrammingAlgorithm

  • Implement a function to reverse a linked list.

    Linked ListPointersAlgorithm

  • Find the k-th smallest element in a binary search tree.

    TreeBinary Search TreeAlgorithm

Prep for this round

  1. 01Practice coding problems regularly.
  2. 02Focus on understanding the underlying algorithms and data structures.
  3. 03Practice explaining your thought process out loud.
  4. 04Be prepared to discuss trade-offs of different approaches.

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.

DSA

Coding questions at Nike.

Frequently reported on Nike loops

View all at Nike

Other guides

More at Nike.