This interview process is for a Software Engineer II (L3) position at Criteo. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company.
Rounds·3
Timeline·~10d
Experience·2 - 5 yrs
Comp band·US$100000 - US$130000
Interview time·150 min
Evaluation
What they measure.
Problem-solving skills
Algorithmic thinking
Data structures knowledge
Code quality and efficiency
System design capabilities
Communication skills
Teamwork and collaboration
Cultural fit
Ability to articulate thought process
Clarity of explanations
Active listening
Constructive feedback
Alignment with Criteo's values
Proactiveness and initiative
Adaptability and learning agility
Preparation
How to prepare.
Tips
01Review fundamental data structures and algorithms.
02Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte.
03Study system design principles and common architectural patterns.
05Prepare for behavioral questions by reflecting on past experiences using the STAR method.
06Research Criteo's products, services, and company culture.
07Be ready to discuss your resume in detail.
Study plan
Fig · Study plan — 04 phases
01 / 04
01
Phase 01 of 04
Data Structures and Algorithms
Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 5-7 problems/week.
Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, recursion). Practice implementing these in your preferred language. Aim for at least 5-7 problems per week.
02
Phase 02 of 04
System Design
Weeks 3-4: System Design principles and common patterns. Practice designing systems.
Weeks 3-4: Dive into system design. Study concepts like scalability, availability, consistency, load balancing, caching, databases (SQL vs. NoSQL), and message queues. Review common system design interview questions and practice designing systems like Twitter feed, URL shortener, etc.
03
Phase 03 of 04
Behavioral & Situational Questions
Week 5: Behavioral questions preparation using STAR method. Reflect on past experiences.
Week 5: Prepare for behavioral and situational questions. Reflect on your past projects and experiences, identifying examples that demonstrate leadership, teamwork, problem-solving, and handling challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
04
Phase 04 of 04
Final Review and Criteo Specifics
Week 6: Review, mock interviews, Criteo research, and prepare questions.
Week 6: Consolidate your learning. Review all topics, practice mock interviews, and research Criteo's specific technologies and culture. Prepare questions to ask the interviewer.
Questions
Commonly asked.
Given an array of integers, find the contiguous subarray with the largest sum.
Design a system to store and retrieve user preferences.
Tell me about a time you had to deal with a difficult stakeholder.
How would you optimize a slow database query?
Explain the concept of microservices and their advantages/disadvantages.
Describe a situation where you had to learn a new technology quickly.
What are the trade-offs between using a relational database and a NoSQL database?
How would you design a rate limiter for an API?
Tell me about a project you are particularly proud of.
What is the difference between concurrency and parallelism?
Locations
Regional differences.
Fig · Regions — 02 locations
01 / 02
Location
Paris
Interview focus
Strong emphasis on distributed systems and scalability.Deep dive into system design principles.Understanding of Criteo's specific tech stack (e.g., Java, Scala, distributed caching).
Common questions
How would you design a URL shortener service?
Explain the difference between SQL and NoSQL databases.
Describe a challenging technical problem you solved and how you approached it.
Tips
Familiarize yourself with common distributed system patterns.
Be prepared to discuss trade-offs in system design choices.
Research Criteo's engineering blog and recent technical publications.
Location
New York
Interview focus
Focus on data engineering and large-scale data processing.Understanding of machine learning concepts and their application.Experience with big data technologies (e.g., Spark, Hadoop).
Common questions
How would you implement a real-time bidding system?
Discuss the challenges of handling large-scale data processing.
Describe your experience with cloud platforms like AWS or GCP.
Tips
Review concepts related to data pipelines and ETL processes.
Be ready to explain your experience with cloud-native services.
Understand the basics of ad-tech and its underlying technologies.
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 fundamental programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your ability to write clean, efficient, and correct code, as well as your problem-solving approach and communication skills. You'll be expected to explain your thought process throughout the coding exercise.
What they look for
Clean, well-organized code.Logical and systematic approach to problem-solving.Understanding of time and space complexity.Ability to explain the solution and its trade-offs.
Evaluation
Correctness of the solution
Efficiency of the solution (time and space complexity)
Code readability and maintainability
Problem-solving approach
Sample questions
Given a binary tree, find its inorder traversal.
Data StructuresTreesRecursion
Implement a function to find the kth smallest element in an unsorted array.
AlgorithmsSortingQuickselect
Write a function to check if a string is a palindrome, ignoring non-alphanumeric characters and case.
StringsTwo Pointers
Prep for this round
01Practice coding problems focusing on arrays, strings, linked lists, trees, graphs, and hash maps.
02Understand common algorithms like sorting, searching, dynamic programming, and recursion.
03Be comfortable analyzing the time and space complexity of your solutions.
04Practice explaining your code and thought process out loud.
Common rejection reasons
×Inability to articulate thought process clearly.
×Poorly structured or inefficient code.
×Lack of understanding of fundamental data structures and algorithms.
×Inability to solve coding problems within the given time.
Hard
System Design Interview · 60 min · Senior Software Engineer / Architect
This round evaluates your ability to design complex software systems. You will be presented with a high-level problem (e.g., design a URL shortener, a social media feed, or a distributed cache) and asked to propose a solution. The focus is on your understanding of scalability, availability, data storage, APIs, and trade-offs. You should be prepared to discuss different components, their interactions, and potential bottlenecks.
What they look for
Ability to design scalable and reliable systems.Understanding of distributed systems concepts.Knowledge of various architectural patterns and trade-offs.Effective communication of complex ideas.
Evaluation
System design approach
Scalability and performance considerations
Choice of technologies and data stores
Handling of edge cases and failure scenarios
Clarity and structure of the design
Sample questions
Design a system like Twitter's news feed.
System DesignScalabilityDistributed Systems
Design a distributed key-value store.
System DesignDistributed SystemsDatabases
How would you design an API for a ride-sharing service?
System DesignAPI DesignMicroservices
Prep for this round
01Study common system design patterns (e.g., load balancing, caching, database sharding, message queues).
02Review distributed systems concepts (CAP theorem, consistency models).
03Practice designing various systems, considering different requirements and constraints.
04Be prepared to justify your design choices and discuss alternatives.
Common rejection reasons
×Lack of clarity in system design.
×Failure to consider scalability and edge cases.
×Poor understanding of trade-offs in design choices.
×Inability to communicate design effectively.
Med
Behavioral Interview · 45 min · Hiring Manager / Team Lead
This interview focuses on your behavioral and situational responses. The hiring manager will ask questions about your past experiences to understand how you handle various work scenarios, such as teamwork, conflict resolution, dealing with failure, and leadership. The goal is to assess your cultural fit and how you align with Criteo's values and working style. Prepare specific examples using the STAR method.
What they look for
Evidence of collaboration and teamwork.Ability to handle conflict and challenges constructively.Proactiveness and ownership.Enthusiasm for Criteo and the role.
Evaluation
Teamwork and collaboration skills
Problem-solving approach in past situations
Adaptability and learning agility
Communication and interpersonal skills
Alignment with Criteo's values
Sample questions
Tell me about a time you disagreed with a teammate. How did you resolve it?
BehavioralTeamworkConflict Resolution
Describe a challenging project you worked on and how you overcame obstacles.
BehavioralProblem SolvingResilience
How do you prioritize your work when you have multiple competing deadlines?
BehavioralTime ManagementPrioritization
Prep for this round
01Review your resume and identify key projects and accomplishments.
02Prepare specific examples using the STAR method for common behavioral questions (teamwork, conflict, failure, success, leadership).
03Research Criteo's company culture and values.
04Think about why you want to work at Criteo and what you can contribute.
Common rejection reasons
×Lack of self-awareness.
×Negative attitude or poor cultural fit.
×Inability to provide specific examples for behavioral questions.
×Lack of enthusiasm or interest in the role/company.