# Software Engineer 2
**Role:** Software Engineer · **Level:** L2
**Company:** [Clari](https://scaleengineer.com/companies/clari)
**Difficulty:** Medium
**Salary:** US$110000 - US$150000
**Experience:** 2 - 5
**Timeline:** ~7 days
The Software Engineer 2 (L2) interview at Clari is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit for a mid-level engineering role. The process typically involves multiple rounds, focusing on data structures, algorithms, system design, and behavioral aspects.
Canonical: https://scaleengineer.com/interviews/clari/l2-software-engineer
---
## Overall evaluation

- Technical Skills
- Communication
- Behavioral and Cultural Fit

## Questions asked

- Given an array of integers, find the contiguous subarray with the largest sum.
- Design a system to handle real-time notifications for a social media platform.
- Describe a situation where you disagreed with a team member and how you resolved it.
- How would you optimize a slow database query?
- Implement a function to reverse a linked list.
- What are the trade-offs between SQL and NoSQL databases?
- Tell me about a time you failed and what you learned from it.

## Preparation tips

### lists

- Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
- Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium-difficulty problems.
- Study system design concepts, including scalability, reliability, databases, caching, load balancing, and APIs.
- Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
- Understand Clari's products, mission, and recent news to tailor your answers and demonstrate interest.
- Prepare questions to ask the interviewer about the role, team, and company culture.

### studyPlan

- {"title":"Data Structures and Algorithms Fundamentals","longDescription":"Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, trees, graphs, hash tables) and their common operations and time complexities. Practice implementing these structures and solving problems involving them. Cover basic algorithms like sorting (quicksort, mergesort) and searching (binary search).","shortDescription":"Weeks 1-2: Data Structures & Basic Algorithms. Practice implementations and problem-solving."}
- {"title":"Advanced Algorithms and System Design Basics","longDescription":"Weeks 3-4: Dive deeper into algorithms, including dynamic programming, greedy algorithms, graph algorithms (BFS, DFS, Dijkstra's), and string manipulation. Work on medium-level LeetCode problems related to these topics. Start exploring system design concepts like scalability, load balancing, and database choices.","shortDescription":"Weeks 3-4: Advanced Algorithms & Intro to System Design. Focus on DP, graphs, and basic system concepts."}
- {"title":"System Design and Behavioral Preparation","longDescription":"Weeks 5-6: Concentrate on system design. Study common design patterns, trade-offs in distributed systems, caching strategies, message queues, and API design. Practice designing scalable systems like Twitter feed, URL shorteners, or chat applications. Simultaneously, prepare for behavioral questions by recalling specific examples using the STAR method.","shortDescription":"Weeks 5-6: System Design Deep Dive & Behavioral Prep. Practice designing systems and STAR method."}
- {"title":"Final Review and Mock Interviews","longDescription":"Week 7: Final review of all topics. Do mock interviews (technical and behavioral) to simulate the interview environment. Refine your answers and ensure you can clearly articulate your thought process. Research Clari's recent developments and prepare insightful questions for the interviewers.","shortDescription":"Week 7: Mock Interviews & Final Review. Practice and research Clari."}

## Location differences

- {"location":"San Francisco Bay Area","differences":{"tips":["Be prepared to discuss trade-offs in system design choices.","Practice explaining complex concepts in a concise manner.","Research Clari's product and recent technical challenges."],"interviewFocus":["System design for scalability and reliability.","Deep understanding of core computer science concepts.","Ability to articulate technical decisions clearly."],"commonQuestions":["How would you design a URL shortener service?","Explain the difference between a process and a thread.","Describe a challenging technical problem you solved and how you approached it."]}}
- {"location":"New York","differences":{"tips":["Focus on writing clean and efficient code.","Be ready to discuss your experience with cloud platforms (AWS, Azure, GCP).","Highlight instances where you mentored junior engineers."],"interviewFocus":["Practical application of algorithms and data structures.","Understanding of distributed systems principles.","Collaboration and teamwork skills."],"commonQuestions":["How would you implement a caching mechanism for a web application?","What are the advantages of using microservices?","Tell me about a time you had to deal with ambiguity in a project."]}}

## Round 1: Technical Coding Round 1
**Type:** Data Structures and Algorithms Interview · **Difficulty:** Medium · **Duration:** 45 min
Coding challenge focused on data structures and algorithms.
This round focuses on your ability to solve coding problems using data structures and algorithms. You will be given one or two coding challenges and asked to implement a solution in a shared coding environment. The interviewer will assess your approach to problem-solving, your understanding of algorithmic concepts, and the quality of your code.
**Interviewers look for:** Ability to translate a problem into code.; Understanding of time and space complexity.; Clean and well-structured code.; Ability to test and debug code.
**Evaluation criteria:** Correctness of the solution; Efficiency of the solution (time and space complexity); Code readability and maintainability; Problem-solving approach
**Common rejection reasons:** Inability to solve coding problems within the given time.; Poor code quality or efficiency.; Lack of understanding of fundamental data structures and algorithms.
## Questions

- Given a binary tree, find its maximum depth.
- Implement a function to check if a string is a palindrome.

## Preparation tips

- Practice coding on a whiteboard or in a simple text editor to simulate interview conditions.
- Clearly articulate your thought process as you solve the problem.
- Consider edge cases and test your solution thoroughly.

## Round 2: System Design Round
**Type:** System Design Interview · **Difficulty:** Medium-Hard · **Duration:** 60 min
Design a scalable system and discuss architectural choices.
This round assesses your ability to design scalable and robust systems. You'll be presented with a high-level problem (e.g., design a social media feed, a URL shortener) and expected to propose a system architecture. The interviewer will probe your design choices, discuss trade-offs, and evaluate your understanding of distributed systems concepts.
**Interviewers look for:** Ability to design complex systems from scratch.; Knowledge of distributed systems principles.; Understanding of database choices and trade-offs.; Ability to handle scale and performance requirements.
**Evaluation criteria:** Scalability of the design; Reliability and fault tolerance; Choice of technologies and data stores; Understanding of trade-offs; Clarity of explanation
**Common rejection reasons:** Inability to design scalable and reliable systems.; Lack of understanding of distributed systems concepts.; Poor communication of design choices and trade-offs.
## Questions

- Design a system like Twitter's news feed.
- How would you design a rate limiter?

## Preparation tips

- Study common system design patterns and architectures.
- Be prepared to discuss databases, caching, load balancing, and message queues.
- Practice explaining your design choices and the reasoning behind them.

## Round 3: Behavioral and Managerial Round
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Behavioral questions to assess teamwork, problem-solving, and cultural fit.
This round focuses on your behavioral and cultural fit. The interviewer will ask questions about your past experiences, how you handle challenges, work in teams, and your career aspirations. The goal is to understand how you operate and if you would be a good addition to the Clari engineering team.
**Interviewers look for:** Evidence of collaboration and teamwork.; Ability to handle conflict and ambiguity.; Proactiveness and ownership.; Alignment with Clari's mission and values.
**Evaluation criteria:** Teamwork and collaboration skills; Problem-solving approach in past projects; Adaptability and learning agility; Cultural fit with Clari's values; Communication and interpersonal skills
**Common rejection reasons:** Lack of alignment with company values.; Poor communication or interpersonal skills.; Inability to provide specific examples of past experiences.; Lack of enthusiasm or interest in the role/company.
## Questions

- Tell me about a time you had to work with a difficult colleague.
- Describe a project you are particularly proud of and your role in it.
- How do you stay updated with new technologies?

## Preparation tips

- Prepare specific examples using the STAR method for common behavioral questions.
- Be ready to discuss your strengths, weaknesses, and career goals.
- Show enthusiasm for Clari and the role.