Software Engineer

Software EngineerP7.1High

This interview process is for a Software Engineer position at OKX, specifically at the P7.1 level. It is designed to assess a candidate's technical proficiency, problem-solving skills, system design capabilities, and cultural fit within the company.

Rounds·3

Timeline·~14d

Experience·7 - 10 yrs

Comp band·US$150000 - US$200000

Interview time·165 min

Evaluation

What they measure.

  • Technical depth and breadth
  • Problem-solving approach
  • System design and architecture skills
  • Coding proficiency and best practices
  • Communication and collaboration skills
  • Leadership potential and mentorship ability
  • Cultural alignment with OKX values

Preparation

How to prepare.

Tips

  1. Review core computer science fundamentals (data structures, algorithms, operating systems, databases).
  2. Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
  3. Study system design principles and common patterns for scalable applications.
  4. Prepare to discuss your past projects in detail, focusing on your contributions and technical challenges.
  5. Research OKX's business, products, and recent news to understand our context.
  6. Prepare questions to ask the interviewer about the role, team, and company culture.
  7. Brush up on behavioral interview techniques using the STAR method (Situation, Task, Action, Result).

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms (DSA). Practice 5-7 problems daily.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, heaps, sorting, searching, dynamic programming, and greedy algorithms. Practice implementing these and analyzing their time and space complexity. Aim for 5-7 problems per day.

Questions

Commonly asked.

  • Tell me about a time you had to deal with a difficult stakeholder. How did you manage the situation?
  • Design a URL shortening service like bit.ly.
  • What are the trade-offs between SQL and NoSQL databases?
  • How would you optimize the performance of a web application?
  • Describe a situation where you disagreed with your manager. What did you do?
  • Design a system to handle real-time stock price updates for a trading platform.
  • What is your experience with asynchronous programming?
  • How do you stay updated with the latest technologies?
  • Tell me about a project you are particularly proud of and why.
  • How would you design a distributed rate limiter?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Singapore

Interview focus

Deep dive into distributed systems and microservices architecture.Emphasis on practical experience with large-scale systems.Assessment of leadership potential and team collaboration.Understanding of operational excellence and SRE principles.

Common questions

  • How would you design a distributed caching system for a high-traffic e-commerce platform?
  • Describe a challenging technical problem you solved recently and the impact it had.
  • How do you ensure the scalability and reliability of microservices?
  • What are your strategies for mentoring junior engineers?
  • Discuss your experience with cloud-native architectures (e.g., Kubernetes, Docker).

Tips

  • Be prepared to discuss specific examples of systems you've designed or significantly contributed to.
  • Familiarize yourself with OKX's tech stack and recent projects.
  • Showcase your ability to think about trade-offs in system design.
  • Highlight any experience with financial technology or blockchain-related systems.

Rounds

Round-by-round.

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

High

Data Structures And Algorithms Interview · 60 min · Senior Software Engineer or Tech Lead

This round focuses on your fundamental computer science knowledge, particularly data structures and algorithms. You will be asked to solve coding problems, often involving algorithmic challenges. The interviewer will assess your ability to analyze problems, devise efficient solutions, write clean and maintainable code, and explain your reasoning clearly. Expect questions that test your understanding of time and space complexity.

What they look for

Strong grasp of data structures and algorithms.Ability to translate requirements into working code.Logical thinking and systematic approach to problem-solving.Clear communication of thought process.

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Code quality and readability
  • Ability to test the code
  • Problem-solving approach

Sample questions

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

    ArrayDynamic Programming
  • Implement a function to reverse a linked list.

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

    TreeBinary Search TreeRecursion
  • Given a string, find the length of the longest substring without repeating characters.

    StringSliding WindowHash Table

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
  2. 02Review common algorithms and data structures.
  3. 03Practice explaining your thought process out loud while coding.
  4. 04Be prepared to discuss trade-offs of different approaches.

Common rejection reasons

  • ×Lack of fundamental knowledge in core CS concepts.
  • ×Inability to write clean, efficient, and bug-free code.
  • ×Poor problem-solving approach.
  • ×Difficulty in explaining thought process.

DSA

Coding questions at OKX.

Frequently reported on OKX loops

Other guides

More at OKX.