Scale Engineer

Software Engineer

Software EngineerSenior SWEHard

This interview process is designed to assess candidates for a Senior Software Engineer position at Nike. It evaluates technical proficiency, problem-solving skills, system design capabilities, leadership potential, and cultural fit within Nike's innovative and collaborative environment.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·180 min

Evaluation

What they measure.

  • Technical depth and breadth in relevant programming languages and frameworks.
  • Problem-solving approach and analytical skills.
  • System design and architectural thinking.
  • Ability to write clean, maintainable, and efficient code.
  • Understanding of data structures and algorithms.
  • Experience with testing methodologies and practices.

Preparation

How to prepare.

Tips

  1. Review core computer science fundamentals, including data structures and algorithms.
  2. Practice system design problems, focusing on scalability, reliability, and trade-offs.
  3. Prepare to discuss your past projects in detail, highlighting your contributions and challenges.
  4. Research Nike's products, services, and recent news to understand our business context.
  5. Brush up on behavioral interview techniques, using the STAR method (Situation, Task, Action, Result).
  6. Understand Nike's company culture and values.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and practice (medium/hard).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, sorting, searching, and dynamic programming. Practice problems on platforms like LeetCode, HackerRank, and AlgoExpert, aiming for medium to hard difficulty.

Questions

Commonly asked.

  • Design a system to handle real-time inventory updates for Nike.com.
  • How would you optimize the performance of a large-scale distributed caching system?
  • Describe a time you had to deal with a major production incident. What was your role and what did you learn?
  • Tell me about a project where you had to make significant technical trade-offs. How did you decide?
  • How do you approach mentoring junior engineers and fostering their growth?
  • What are your thoughts on microservices vs. monolithic architectures for a growing e-commerce platform?
  • How would you design a system to personalize product recommendations for Nike customers?
  • Describe your experience with building and maintaining CI/CD pipelines.
  • How do you ensure code quality and maintainability in a large codebase?
  • What are the key challenges in building a global e-commerce platform, and how would you address them?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Beaverton, OR

Interview focus

Deep dive into distributed systems and cloud architecture.Leadership and mentorship capabilities.Understanding of e-commerce best practices and challenges.Ability to drive technical strategy and influence product roadmaps.

Common questions

  • How would you design a scalable recommendation system for Nike's e-commerce platform, considering user behavior and product catalog size?
  • Describe a time you had to influence a team to adopt a new technology or process. What was the outcome?
  • In our Beaverton, OR headquarters, there's a strong emphasis on cross-functional collaboration. How do you ensure effective communication with product managers and designers?
  • Discuss your experience with cloud-native architectures and microservices, particularly in the context of high-traffic retail applications.

Tips

  • Be prepared to discuss specific examples of leading complex projects.
  • Familiarize yourself with Nike's recent technological advancements and business strategies.
  • Highlight experience with A/B testing and data-driven decision-making.
  • Emphasize your ability to mentor junior engineers and foster a positive team culture.

Rounds

Round-by-round.

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

Med

Technical Interview (Coding) · 45 min · Software Engineer

This round focuses on your fundamental 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 write clean, efficient, and correct code, as well as your problem-solving approach and communication during the process.

What they look for

Ability to translate a problem into working code.Clean and well-structured code.Understanding of time and space complexity.Ability to debug and test code.

Evaluation

  • Coding proficiency.
  • Problem-solving approach.
  • Understanding of data structures and algorithms.
  • Code clarity and efficiency.

Sample questions

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

    ArrayDynamic ProgrammingKadane's Algorithm

  • Implement a function to reverse a linked list.

    Linked ListPointers

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

    Binary Search TreeTree TraversalRecursion

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  2. 02Focus on understanding the underlying data structures and algorithms.
  3. 03Practice explaining your thought process out loud while coding.
  4. 04Be prepared to discuss time and space complexity (Big O notation).

Common rejection reasons

  • ×Lack of clear communication.
  • ×Inability to articulate thought process.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Inability to solve even basic coding problems.

DSA

Coding questions at Nike.

Frequently reported on Nike loops

View all at Nike

Other guides

More at Nike.