Scale Engineer

Software Engineer

Software EngineerP7.2Hard

This interview process is designed to assess candidates for a Software Engineer position at OKX, specifically at the P7.2 level. It evaluates technical proficiency, problem-solving skills, system design capabilities, and cultural fit within the company.

Rounds·4

Timeline·~14d

Experience·7 - 10 yrs

Comp band·US$150000 - US$200000

Interview time·225 min

Evaluation

What they measure.

  • Technical depth and breadth in relevant programming languages and frameworks.
  • Problem-solving skills and analytical thinking.
  • System design and architectural capabilities.
  • Understanding of data structures and algorithms.
  • Communication and collaboration skills.
  • Cultural fit and alignment with OKX values.

Preparation

How to prepare.

Tips

  1. Review core computer science concepts: 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 distributed systems.
  4. Research OKX's products, services, and recent news to understand the business context.
  5. Prepare to discuss your past projects and experiences in detail, highlighting your contributions and learnings.
  6. Understand the fundamentals of blockchain technology and cryptocurrencies.
  7. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and practice.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, sorting, searching, dynamic programming, and greedy algorithms. Practice at least 5-10 problems per topic.

Questions

Commonly asked.

  • Design a rate limiter for an API gateway.
  • How would you design a distributed unique ID generator?
  • Explain the CAP theorem and its implications for distributed systems.
  • What are the differences between microservices and monolithic architectures?
  • Describe a time you had to debug a complex production issue. What was your process?
  • How do you approach testing in a microservices environment?
  • What are the key components of a blockchain?
  • Discuss your experience with performance optimization.
  • Tell me about a project you are particularly proud of and why.
  • How do you stay updated with new technologies in the software engineering and blockchain space?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Singapore

Interview focus

Deep understanding of distributed systems and consensus algorithms.Experience with large-scale data processing and analytics.Knowledge of blockchain fundamentals and smart contract development.Leadership and team collaboration skills.

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 your approach.
  • How do you ensure scalability and reliability in microservices architecture?
  • What are your thoughts on the latest trends in blockchain technology and their potential impact on financial services?
  • Tell me about a time you had to mentor junior engineers. What was your approach?

Tips

  • Emphasize experience with blockchain-related projects or a strong understanding of the technology.
  • Be prepared to discuss specific examples of optimizing performance in distributed systems.
  • Highlight any experience with financial trading systems or platforms.
  • Showcase your ability to lead technical discussions and mentor team members.

Rounds

Round-by-round.

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

DSA

Coding questions at OKX.

Frequently reported on OKX loops

View all at OKX

Other guides

More at OKX.