Software Engineer

Software EngineerL5Hard

DRW is a leading principal trading firm that employs sophisticated technology and quantitative methods to manage risk and provide liquidity in global markets. Our Software Engineers are instrumental in developing and maintaining the high-performance, low-latency trading systems that are critical to our success. This interview process for an L5 Software Engineer is designed to assess a candidate's technical depth, problem-solving abilities, system design skills, and cultural fit within our fast-paced, 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 proficiency in core computer science concepts.
  • Ability to design scalable, efficient, and robust systems.
  • Problem-solving skills and analytical thinking.
  • Communication skills and ability to articulate technical ideas.
  • Cultural fit, including collaboration, adaptability, and drive.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: data structures, algorithms, operating systems, networking.
  2. Practice coding problems, focusing on efficiency and edge cases.
  3. Study system design principles and common architectural patterns.
  4. Understand distributed systems concepts like CAP theorem, consensus, and fault tolerance.
  5. Research DRW's business, culture, and the technologies they use.
  6. Prepare to discuss your past projects and technical challenges in detail.
  7. Practice explaining complex technical topics clearly and concisely.
  8. Be ready to discuss your career goals and why you are interested in DRW.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Algorithms (Easy/Medium). Focus on implementation and complexity analysis.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language and analyze their time and space complexity. Solve problems on platforms like LeetCode (Easy/Medium).

Questions

Commonly asked.

  • Given a stream of data, design a system to find the top K frequent elements.
  • How would you design a URL shortening service like bit.ly?
  • Explain the difference between a process and a thread.
  • Describe a situation where you had to deal with a difficult stakeholder. How did you handle it?
  • What are the trade-offs when choosing between SQL and NoSQL databases?
  • How would you design a distributed cache?
  • Tell me about a time you failed. What did you learn from it?
  • Implement a function to find the median of a data stream.
  • How do you ensure high availability and fault tolerance in a distributed system?
  • Describe your experience with performance tuning.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Chicago

Interview focus

Deep understanding of distributed systems and concurrency.Experience with performance optimization and low-latency design.Familiarity with financial markets and trading systems is a plus.Ability to articulate complex technical concepts clearly.

Common questions

  • Describe a complex system you designed and the trade-offs you made.
  • How would you optimize a distributed system for latency?
  • Discuss your experience with high-frequency trading systems or similar low-latency environments.
  • Explain the CAP theorem and its implications for distributed systems.
  • How do you approach debugging a production issue in a distributed system?

Tips

  • Emphasize experience with C++, Java, or other high-performance languages.
  • Be prepared to discuss specific examples of optimizing systems for speed and efficiency.
  • Research DRW's business and the types of technologies we use.
  • Highlight any experience with real-time data processing or financial technologies.

Rounds

Round-by-round.

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

Hard

Data Structures And Algorithms Interview · 45 min · Senior Software Engineer or Staff Engineer

This round focuses on your core computer science knowledge. You will be presented with one or two coding problems that require you to implement solutions using appropriate data structures and algorithms. The interviewer will assess your ability to analyze the problem, devise an efficient solution, write clean and correct code, and discuss the time and space complexity of your approach. Expect follow-up questions to test your understanding of edge cases and potential optimizations.

What they look for

Strong grasp of fundamental data structures and algorithms.Ability to translate a problem into efficient code.Clear communication of thought process.Attention to detail and ability to consider edge cases.

Evaluation

  • Correctness of the solution.
  • Efficiency of the solution (time and space complexity).
  • Code quality, readability, and maintainability.
  • Ability to handle edge cases and constraints.
  • Problem-solving approach and thought process.

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 kth smallest element in a Binary Search Tree.

    TreeBinary Search TreeRecursion
  • Design a data structure that supports insert, delete, search, and getRandom in O(1) average time.

    Hash TableArrayData Structure Design

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. 03Write clean, well-commented code.
  4. 04Be prepared to explain your thought process step-by-step.
  5. 05Practice discussing time and space complexity.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Suboptimal algorithmic solutions.
  • ×Code with significant bugs or poor style.
  • ×Lack of understanding of time/space complexity.
  • ×Inability to handle follow-up questions or edge cases.

DSA

Coding questions at DRW.

Frequently reported on DRW loops

Other guides

More at DRW.