Scale Engineer

Software Engineer

Software EngineerL6Hard

This interview process for a Software Engineer (L6) at DRW is designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit within the company. The process is rigorous and aims to identify individuals who can contribute significantly to our trading and technology solutions.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$150000 - US$200000

Interview time·210 min

Evaluation

What they measure.

  • Technical proficiency in relevant programming languages and tools.
  • Depth of knowledge in data structures, algorithms, and system design.
  • Problem-solving and analytical capabilities.
  • Ability to design scalable, performant, and reliable systems.
  • Understanding of software development best practices.
  • Communication and collaboration skills.
  • Cultural fit and alignment with DRW's values.

Preparation

How to prepare.

Tips

  1. Review core computer science fundamentals: data structures, algorithms, operating systems, and networking.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
  3. Study system design principles and common architectural patterns.
  4. Understand the basics of financial markets and trading if applying for a trading-related role.
  5. Prepare to discuss your past projects and technical contributions in detail.
  6. Research DRW's business, culture, and recent news.
  7. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  8. Prepare thoughtful questions to ask the interviewers.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and practice (Arrays, Trees, Graphs, DP, Sorting, Searching).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, heaps, sorting, searching, dynamic programming, and graph traversal algorithms. Practice implementing these in your preferred language and analyze their time and space complexity.

Questions

Commonly asked.

  • Tell me about a challenging technical problem you solved.
  • How would you design a distributed caching system?
  • Describe your experience with concurrency and multithreading.
  • What are the trade-offs between different database technologies?
  • How do you approach performance optimization?
  • Explain a complex algorithm you've implemented.
  • Tell me about a time you disagreed with a team member.
  • How do you handle tight deadlines?
  • What are your strengths and weaknesses?
  • Why are you interested in DRW?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Chicago

Interview focus

Deep understanding of low-latency systems and performance optimization.Experience with C++ or Java in a high-performance computing environment.Knowledge of financial markets and trading systems is a plus.Ability to design scalable and resilient distributed systems.Strong analytical and problem-solving skills.Effective communication and collaboration.

Common questions

  • How would you design a low-latency order matching engine?
  • Discuss your experience with distributed systems and consensus algorithms.
  • Explain the trade-offs between different database technologies for high-frequency trading data.
  • Describe a complex bug you debugged in a production environment, focusing on the tools and techniques used.
  • How do you approach performance optimization in a C++ trading system?
  • What are your thoughts on event-driven architectures in finance?
  • Tell me about a time you had to influence a technical decision within a team.
  • How do you stay updated with the latest advancements in financial technology and software engineering?

Tips

  • Be prepared to discuss specific examples of your work on high-performance systems.
  • Familiarize yourself with common trading concepts and terminology.
  • Highlight any experience with real-time data processing and low-latency requirements.
  • Emphasize your ability to work under pressure and deliver robust solutions.
  • Showcase your understanding of concurrency and multithreading.
  • Be ready to whiteboard complex algorithms and data structures.

Rounds

Round-by-round.

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

DSA

Coding questions at DRW.

Frequently reported on DRW loops

View all at DRW

Other guides

More at DRW.