# Software Engineer
**Role:** Software Engineer · **Level:** L7
**Company:** [Optiver](https://scaleengineer.com/companies/optiver)
**Difficulty:** Hard
**Salary:** US$180000 - US$250000
**Experience:** 8 - 15
**Timeline:** ~21 days
The Software Engineer L7 interview at Optiver is a rigorous process designed to assess candidates for their advanced technical skills, problem-solving abilities, and leadership potential. This role requires a deep understanding of computer science fundamentals, experience in designing and implementing complex systems, and the ability to mentor junior engineers. The interview process typically involves multiple rounds, including technical assessments, system design discussions, and behavioral evaluations, to ensure a comprehensive evaluation of the candidate's fit for the role and the company culture.
Canonical: https://scaleengineer.com/interviews/optiver/l7-software-engineer
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## Overall evaluation

- Technical Proficiency
- Problem Solving & Design
- Leadership & Collaboration
- Cultural Fit & Motivation

## Questions asked

- Describe a complex system you designed and the trade-offs you considered.
- How would you optimize a system for low latency?
- Discuss a time you disagreed with a technical decision and how you handled it.
- Explain the principles of eventual consistency.
- How do you approach debugging a distributed system?
- Tell me about a time you mentored a junior engineer.
- Design a rate limiter for an API.
- What are the challenges of building a real-time data processing pipeline?
- How would you ensure the security of a trading platform?
- Describe your experience with performance testing and profiling.

## Preparation tips

### lists

- Review core computer science concepts: data structures, algorithms, operating systems, networking.
- Practice system design problems, focusing on scalability, reliability, and performance.
- Study distributed systems concepts: consensus, replication, fault tolerance.
- Prepare for behavioral questions by reflecting on past experiences related to leadership, teamwork, and problem-solving.
- Understand the basics of financial markets and trading if you are new to the domain.
- Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium to hard difficulty.
- Research Optiver's business, technology stack, and culture.
- Prepare thoughtful questions to ask the interviewers.

### studyPlan

- {"title":"Data Structures & Algorithms","longDescription":"Weeks 1-2: Focus on Data Structures and Algorithms. Cover advanced topics like graphs, dynamic programming, and complexity analysis. Practice implementing these in your preferred language. Aim for 2-3 medium/hard problems per day.","shortDescription":"Weeks 1-2: DSA - Advanced topics, implementation practice (2-3 problems/day)."}
- {"title":"System Design","longDescription":"Weeks 3-4: Dive into System Design. Study common design patterns, architectural styles (microservices, monolithic), database choices (SQL vs. NoSQL, trade-offs), caching strategies, load balancing, and message queues. Work through case studies of designing large-scale systems.","shortDescription":"Weeks 3-4: System Design - Patterns, architectures, databases, caching, load balancing."}
- {"title":"Distributed Systems & Concurrency","longDescription":"Week 5: Concentrate on Distributed Systems and Concurrency. Understand concepts like CAP theorem, eventual consistency, distributed transactions, consensus algorithms (Paxos, Raft), and thread synchronization primitives. Read relevant papers or blog posts.","shortDescription":"Week 5: Distributed Systems - CAP theorem, consistency, consensus, concurrency."}
- {"title":"Behavioral & Leadership","longDescription":"Week 6: Prepare for Behavioral and Leadership Questions. Reflect on your career experiences using the STAR method (Situation, Task, Action, Result). Prepare examples demonstrating leadership, problem-solving, teamwork, and handling conflict. Research Optiver's values.","shortDescription":"Week 6: Behavioral - STAR method, leadership examples, Optiver values."}
- {"title":"Mock Interviews & Refinement","longDescription":"Week 7: Mock Interviews and Refinement. Conduct mock interviews with peers or mentors covering both technical and behavioral aspects. Identify weak areas and refine your answers and explanations. Review any specific technologies or domains relevant to Optiver's work.","shortDescription":"Week 7: Mock Interviews - Technical & Behavioral, identify weaknesses, refine answers."}

## Location differences

- {"location":"Amsterdam","differences":{"tips":["Be prepared to discuss specific examples of leading technical projects.","Familiarize yourself with common financial market data structures and protocols.","Practice explaining complex system designs clearly and concisely.","Highlight experience with performance tuning and optimization in production environments."],"interviewFocus":["Deep dive into distributed systems and concurrency.","Emphasis on system design for financial applications.","Evaluation of leadership and mentorship capabilities.","Understanding of low-latency and high-throughput systems."],"commonQuestions":["Discuss a challenging technical problem you solved in a distributed system.","How would you design a real-time trading system for a specific asset class?","Explain the trade-offs between different database technologies for high-frequency data.","Describe a time you had to influence a team's technical direction.","How do you approach performance optimization in a large-scale application?"]}}
- {"location":"Chicago","differences":{"tips":["Showcase experience with AWS, Azure, or GCP services relevant to financial trading.","Prepare to discuss your approach to disaster recovery and business continuity.","Be ready to articulate your leadership philosophy and how you foster team growth.","Understand the nuances of building and operating systems in a regulated industry."],"interviewFocus":["Cloud architecture and microservices.","Scalability and resilience of financial systems.","Problem-solving under pressure and incident management.","Team leadership and technical mentorship."],"commonQuestions":["Design a scalable microservices architecture for a new trading platform.","How would you ensure data consistency in a globally distributed trading system?","Discuss your experience with cloud-native technologies and their application in finance.","Describe a situation where you had to resolve a major production issue under pressure.","What are your strategies for mentoring and developing mid-level engineers?"]}}
- {"location":"Singapore","differences":{"tips":["Deep dive into C++ performance optimization techniques.","Be prepared to discuss specific algorithms and data structures used in trading.","Highlight any experience with hardware acceleration (e.g., FPGAs).","Demonstrate a proactive approach to learning and staying current in the field."],"interviewFocus":["Low-latency system design and implementation.","Performance optimization and profiling.","Algorithmic trading system architecture.","Decision-making and strategic thinking."],"commonQuestions":["How would you design a high-frequency trading engine from scratch?","Discuss the challenges of low-latency programming and how you address them.","Explain your experience with performance profiling and optimization tools.","Describe a time you had to make a difficult technical decision with incomplete information.","How do you stay updated with the latest advancements in trading technology?"]}}

## Round 1: System Design Interview
**Type:** System Design · **Difficulty:** Hard · **Duration:** 60 min
Design a complex software system, discussing requirements, architecture, and trade-offs.
This round focuses on your ability to design complex software systems. You will be presented with a high-level problem statement (e.g., design a distributed caching system, a real-time analytics platform, or a trading execution system) and expected to discuss requirements, identify components, define APIs, choose technologies, and analyze trade-offs. The interviewer will probe deeply into your design decisions and explore potential failure points and scalability concerns.
**Interviewers look for:** Ability to design scalable, reliable, and performant systems.; Sound reasoning behind design choices.; Understanding of trade-offs.; Ability to handle ambiguity and complexity.
**Evaluation criteria:** System design skills; Problem-solving approach; Technical depth; Communication clarity
**Common rejection reasons:** Inability to articulate design choices and trade-offs.; Lack of depth in understanding distributed systems concepts.; Poor problem-solving approach.; Inability to handle follow-up questions or edge cases.; Unclear or disorganized communication.
## Questions

- Design a distributed key-value store.
- How would you design a system to track stock prices in real-time for millions of users?
- Design a notification service.

## Preparation tips

- Practice system design case studies.
- Understand common architectural patterns and technologies.
- Be prepared to draw diagrams and explain your thought process.
- Think about scalability, reliability, availability, and performance.

## Round 2: Coding and Algorithms Interview
**Type:** Technical / Coding Interview · **Difficulty:** Hard · **Duration:** 60 min
Solve challenging coding problems, demonstrating algorithmic knowledge and coding proficiency.
This round involves solving one or two challenging coding problems. You'll typically be expected to write code in a shared editor or on a whiteboard. The focus is on your ability to apply data structures and algorithms to solve problems efficiently and correctly. Expect questions that test your understanding of complexity, edge cases, and clean coding practices.
**Interviewers look for:** Correctness and efficiency of the solution.; Clean, readable, and maintainable code.; Ability to think through edge cases.; Understanding of time and space complexity.
**Evaluation criteria:** Algorithmic knowledge; Coding proficiency; Problem-solving skills; Code quality and efficiency; Debugging skills
**Common rejection reasons:** Incorrect or inefficient algorithms.; Bugs in the code.; Inability to explain the code or approach.; Poor time complexity management.; Difficulty translating a problem into code.
## Questions

- Given a list of stock trades, find the maximum profit that can be made.
- Implement a function to find the k-th largest element in an unsorted array.
- Design and implement a data structure that supports insertion, deletion, and getRandom O(1) time complexity.

## Preparation tips

- Practice coding problems regularly.
- Master common data structures and algorithms.
- Understand time and space complexity analysis (Big O notation).
- Practice writing clean, well-commented code.
- Be prepared to explain your thought process as you code.

## Round 3: Behavioral and Leadership Interview
**Type:** Behavioral & Leadership Interview · **Difficulty:** Medium · **Duration:** 45 min
Discuss past experiences related to leadership, teamwork, and problem-solving.
This round assesses your behavioral competencies, leadership potential, and cultural fit. You'll be asked questions about your past experiences, focusing on how you've handled challenges, worked in teams, led projects, and dealt with conflicts. The interviewer aims to understand your working style, motivations, and how you align with Optiver's collaborative and high-performance environment.
**Interviewers look for:** Evidence of leadership and initiative.; Ability to work effectively in a team.; Strong communication and interpersonal skills.; Alignment with Optiver's values.; Motivation and passion.
**Evaluation criteria:** Leadership potential; Teamwork and collaboration; Communication skills; Problem-solving approach in past situations; Cultural fit
**Common rejection reasons:** Lack of leadership or initiative.; Poor communication or interpersonal skills.; Inability to provide specific examples of past experiences.; Mismatch with company values or culture.; Lack of enthusiasm or engagement.
## Questions

- Tell me about a time you had to lead a team through a difficult technical challenge.
- Describe a situation where you had a conflict with a colleague and how you resolved it.
- How do you stay updated with new technologies and industry trends?

## Preparation tips

- Prepare examples using the STAR method.
- Reflect on your strengths and weaknesses.
- Think about your career goals and motivations.
- Research Optiver's culture and values.
- Be ready to discuss your leadership experiences and how you mentor others.

## Round 4: Managerial and Strategic Fit Interview
**Type:** Managerial / Executive Interview · **Difficulty:** Medium · **Duration:** 45 min
Discuss strategic thinking, business alignment, and career aspirations with a senior leader.
This final round, often with a senior leader, focuses on your strategic thinking, understanding of the business context, and long-term career aspirations. You'll discuss how technology aligns with business objectives, your vision for technical leadership, and your career goals. This is also an opportunity for you to ask high-level questions about the company's direction and culture.
**Interviewers look for:** Ability to think strategically about technology and its impact on business.; Understanding of the financial industry's demands.; Strong communication and influencing skills.; Alignment of personal goals with company opportunities.
**Evaluation criteria:** Strategic thinking; Business acumen; Domain knowledge (optional but beneficial); Communication and influence; Career aspirations
**Common rejection reasons:** Lack of strategic thinking.; Inability to connect technical solutions to business goals.; Poor understanding of the financial domain.; Resistance to feedback or alternative viewpoints.; Lack of clarity on career aspirations.
## Questions

- What is your vision for the future of trading technology?
- How do you see technology impacting the financial markets in the next 5 years?
- Where do you see yourself in 5 years, and how does Optiver fit into that plan?

## Preparation tips

- Understand Optiver's business model and market position.
- Think about how technology drives value in the financial industry.
- Prepare to discuss your long-term career goals.
- Formulate insightful questions for the senior interviewer.