The Software Engineer L2 interview at Criteo is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. It typically involves multiple rounds, including technical assessments, behavioral questions, and a discussion about past projects and experiences. The goal is to identify candidates who can contribute effectively to Criteo's engineering teams and uphold the company's values.
Rounds·3
Timeline·~7d
Experience·2 - 5 yrs
Comp band·US$100000 - US$130000
Interview time·150 min
Evaluation
What they measure.
Problem-solving skills
Technical knowledge (data structures, algorithms, system design)
Coding proficiency
Communication skills
Teamwork and collaboration
Cultural fit and alignment with Criteo's values
Ability to articulate thought process
Clarity of explanations
Active listening
Constructive feedback
Past project experience
Learning agility
Adaptability
Motivation and passion for technology
Preparation
How to prepare.
Tips
01Review fundamental computer science concepts (data structures, algorithms, complexity analysis).
02Practice coding problems on platforms like LeetCode or HackerRank, focusing on medium-difficulty problems.
03Prepare to discuss your past projects in detail, highlighting your contributions and the challenges you faced.
04Brush up on system design principles, especially those relevant to Criteo's business (e.g., ad tech, real-time bidding, large-scale data processing).
05Understand Criteo's company culture, values, and recent news.
06Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
07Think about questions you want to ask the interviewer about the role, team, and company.
Study plan
Fig · Study plan — 04 phases
01 / 04
01
Phase 01 of 04
Data Structures and Algorithms
Weeks 1-2: DSA fundamentals and practice (2-3 problems/day).
Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, heaps, sorting, searching, dynamic programming, and greedy algorithms. Practice problems related to each topic, aiming for 2-3 problems per day. Understand time and space complexity analysis.
02
Phase 02 of 04
System Design
Weeks 3-4: System Design principles and case studies.
Weeks 3-4: System Design and Scalability. Study concepts like load balancing, caching, database design (SQL vs. NoSQL), message queues, microservices architecture, and API design. Read case studies and practice designing scalable systems. Focus on trade-offs and justifications.
03
Phase 03 of 04
Behavioral and Project Experience
Week 5: Behavioral questions (STAR method) and resume project review.
Week 5: Behavioral and Project Deep Dive. Prepare to discuss your resume projects in detail. Use the STAR method to structure your answers for behavioral questions related to teamwork, problem-solving, conflict resolution, and leadership. Reflect on your career goals and motivations.
04
Phase 04 of 04
Mock Interviews and Refinement
Week 6: Mock interviews and final review.
Week 6: Mock Interviews and Refinement. Conduct mock interviews with peers or mentors to simulate the actual interview environment. Focus on improving communication, clarity of thought, and time management. Review any weak areas identified during practice.
Questions
Commonly asked.
Write a function to find the kth largest element in an unsorted array.
Design a URL shortening service like bit.ly.
Tell me about a time you disagreed with a technical decision made by your team. What did you do?
How would you optimize a slow database query?
Explain the difference between a process and a thread.
Describe a situation where you had to mentor a junior engineer.
How do you handle production issues under pressure?
Design a system to handle real-time analytics for a website.
What are the trade-offs between monolithic and microservices architectures?
Tell me about a bug you introduced and how you fixed it.
Locations
Regional differences.
Fig · Regions — 02 locations
01 / 02
Location
Paris
Interview focus
Emphasis on practical problem-solving and debugging skills.Assessment of collaboration and communication within a team.Understanding of distributed systems and scalability principles.
Common questions
Describe a challenging technical problem you solved at your previous company.
How do you approach debugging a complex issue?
Tell me about a time you had to work with a difficult team member.
What are your thoughts on microservices architecture?
How do you ensure the scalability of your code?
Tips
Be prepared to discuss specific examples from your past projects.
Clearly articulate your thought process when solving problems.
Showcase your ability to work effectively in a team environment.
Research Criteo's tech stack and recent projects.
Location
New York
Interview focus
Evaluation of adaptability and learning agility.Assessment of self-awareness and professional development.Understanding of fundamental web technologies and best practices.
Common questions
How do you handle tight deadlines and pressure?
Describe a situation where you had to adapt to a new technology quickly.
What are your strengths and weaknesses as a software engineer?
How do you stay updated with the latest industry trends?
Explain the concept of RESTful APIs.
Tips
Provide concrete examples to support your answers.
Demonstrate a proactive approach to learning and problem-solving.
Be honest about your strengths and weaknesses, and show how you are working on them.
Highlight any experience with large-scale systems or high-traffic applications.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
Med
Technical Interview (Coding) · 45 min · Software Engineer
This round focuses on assessing your core technical skills through coding challenges. You will be asked to solve 1-2 problems related to data structures and algorithms. The interviewer will evaluate your ability to understand the problem, devise an efficient solution, write clean code, and explain your approach. Expect questions on arrays, strings, linked lists, trees, graphs, dynamic programming, and sorting/searching algorithms.
What they look for
Strong grasp of DSAAbility to translate requirements into codeLogical thinking and systematic approachClear communication of thought process
Evaluation
Correctness of the solution
Efficiency of the solution (time and space complexity)
Code quality and readability
Problem-solving approach
Communication of the solution
Sample questions
Given a binary tree, find its inorder traversal.
TreeRecursionIteration
Implement a function to check if a string is a palindrome, ignoring non-alphanumeric characters and case.
StringTwo Pointers
Find the first non-repeating character in a string.
StringHash Map
Prep for this round
01Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte.
02Focus on understanding the underlying algorithms and data structures.
03Practice explaining your thought process out loud while solving problems.
04Write clean, well-commented code.
05Be prepared to discuss time and space complexity.
Common rejection reasons
×Inability to solve coding problems within the given time.
×Poor understanding of fundamental data structures and algorithms.
×Lack of clarity in explaining the thought process.
×Inability to write clean, efficient, and bug-free code.
Med
System Design Interview · 60 min · Senior Software Engineer / Architect
This round evaluates your ability to design and architect software systems. You'll be presented with a high-level problem (e.g., design a URL shortener, a social media feed, or a rate limiter) and asked to propose a solution. The focus is on scalability, reliability, performance, and trade-offs. You should be prepared to discuss database choices, caching strategies, API design, and potential bottlenecks.
What they look for
System thinkingKnowledge of distributed systemsAbility to design for scalePragmatic approach to problem-solving
Evaluation
Ability to design scalable and reliable systems
Understanding of system components (databases, caches, load balancers, APIs)
Trade-off analysis and justification
Handling of edge cases and failure scenarios
Clarity of design and communication
Sample questions
Design a system to count the number of views for a given YouTube video.
System DesignScalabilityDatabases
Design a distributed cache system.
System DesignDistributed SystemsCaching
How would you design a system to detect duplicate uploads of images?
System DesignHashingScalability
Prep for this round
01Study common system design patterns and concepts.
02Read system design case studies and blogs.
03Practice designing systems for scale.
04Be prepared to justify your design choices and discuss trade-offs.
05Consider different components like databases, caches, load balancers, message queues, and CDNs.
Common rejection reasons
×Lack of understanding of system design principles.
×Inability to handle scale and performance considerations.
×Poor trade-off analysis.
×Difficulty in breaking down complex problems into manageable components.
Med
Behavioral Interview · 45 min · Hiring Manager / Senior Team Member
This round focuses on your past experiences, behavioral competencies, and cultural fit. You'll be asked questions about how you've handled specific situations in previous roles, such as dealing with conflict, managing challenging projects, or working in a team. The interviewer wants to understand your working style, your strengths and weaknesses, and how you align with Criteo's values. Be prepared to share specific examples using the STAR method.
What they look for
Teamwork and collaboration skillsProblem-solving approach in real-world scenariosAdaptability and resilienceCultural alignmentPassion and drive