Software EngineerSoftware Engineer IIMedium to Hard
The Trade Desk is looking for a Software Engineer II to join our dynamic team. This role involves designing, developing, and maintaining scalable software solutions that power our advertising platform. You will collaborate with cross-functional teams to deliver high-quality products and contribute to the continuous improvement of our systems.
01Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, hash maps, heaps).
02Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
03Study system design principles, including scalability, availability, consistency, and common design patterns (e.g., load balancing, caching, message queues).
04Understand distributed systems concepts and trade-offs.
05Prepare to discuss your past projects in detail, focusing on your contributions, challenges, and learnings.
06Research The Trade Desk's business and technology stack to understand the context of the role.
07Prepare STAR method (Situation, Task, Action, Result) answers for common behavioral questions.
08Practice explaining your thought process clearly and concisely, especially for coding and system design problems.
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 2-3 problems/day.
Weeks 1-2: Focus on core data structures and algorithms. Practice problems related to arrays, strings, linked lists, trees, and hash maps. Understand time and space complexity analysis. Aim for 2-3 coding problems per day.
02
Phase 02 of 04
Advanced Algorithms and System Design Introduction
Weeks 3-4: Advanced Algorithms & System Design basics. Practice medium problems.
Weeks 3-4: Deep dive into more advanced algorithms (graphs, dynamic programming, greedy algorithms) and practice coding problems of medium difficulty. Start exploring system design concepts like load balancing, caching, and databases. Read system design case studies.
03
Phase 03 of 04
System Design and Behavioral Preparation
Weeks 5-6: System Design practice & Behavioral prep. Focus on distributed systems.
Weeks 5-6: Focus heavily on system design. Practice designing scalable systems for common scenarios (e.g., URL shortener, social media feed, chat system). Understand distributed system concepts like CAP theorem, consensus algorithms, and microservices. Review behavioral questions and prepare STAR answers.
04
Phase 04 of 04
Mock Interviews and Final Review
Week 7: Mock interviews, review weak areas, research TTD.
Week 7: Mock interviews with peers or mentors. Focus on refining communication, problem-solving approach, and time management. Review weak areas identified during practice and mock interviews. Research The Trade Desk's specific challenges and technologies.
Questions
Commonly asked.
Tell me about yourself.
Describe a challenging project you worked on.
How do you handle tight deadlines?
What are your strengths and weaknesses?
Design a system for [specific problem, e.g., a real-time notification service].
Write a function to [specific coding task, e.g., find the kth largest element in an array].
Explain the difference between TCP and UDP.
How would you optimize the performance of a web application?
What is your experience with cloud platforms?
How do you approach code reviews?
Tell me about a time you disagreed with a teammate.
Why are you interested in The Trade Desk?
Locations
Regional differences.
Fig · Regions — 03 locations
01 / 03
Location
San Francisco, CA
Interview focus
System Design: Emphasis on distributed systems, scalability, and fault tolerance.Problem-Solving: Ability to break down complex problems and propose efficient solutions.Coding Proficiency: Clean, efficient, and well-tested code.Behavioral: Teamwork, communication, and adaptability.
Common questions
How would you design a system to handle real-time bidding for ad impressions?
Describe a challenging technical problem you solved and how you approached it.
Explain the trade-offs between different database technologies for a high-throughput system.
How do you ensure the scalability and reliability of your code?
What are your thoughts on microservices vs. monolithic architectures in the context of ad tech?
Tips
For San Francisco: Be prepared for in-depth system design questions related to large-scale data processing and real-time systems.
For New York: Expect a strong focus on algorithmic problem-solving and data structures, with an emphasis on practical application.
For Remote: Demonstrate strong communication skills and the ability to articulate your thought process clearly, as collaboration might be more distributed.
Location
New York, NY
Interview focus
API Design: Focus on creating robust and scalable APIs.Performance Optimization: Ability to identify and resolve performance bottlenecks.Cloud Technologies: Familiarity with cloud services and best practices.Problem-Solving: Analytical approach to debugging and issue resolution.
Common questions
Design an API for a real-time analytics dashboard.
How would you optimize a query that is taking too long to execute?
Discuss your experience with cloud platforms like AWS, Azure, or GCP.
What are the principles of RESTful API design?
How do you approach debugging a production issue?
Tips
For New York: Be ready to discuss specific examples of optimizing code and systems for performance.
For San Francisco: Highlight experience with distributed caching, message queues, and high-volume data pipelines.
For Remote: Showcase your ability to work independently and manage your time effectively, with clear communication on progress and challenges.
Location
Remote
Interview focus
Code Quality: Emphasis on writing clean, maintainable, and testable code.Collaboration & Mentorship: Ability to work effectively in a team and guide others.Continuous Learning: Proactive approach to skill development.Problem-Solving: Logical thinking and ability to articulate solutions.
Common questions
How do you ensure code quality and maintainability?
Describe a time you had to mentor a junior engineer.
What are your strategies for staying up-to-date with new technologies?
How do you handle disagreements within a team?
Explain the concept of idempotency in distributed systems.
Tips
For Remote: Emphasize your ability to collaborate effectively in a remote setting and your proactive communication style.
For San Francisco: Be prepared to discuss your contributions to open-source projects or significant technical initiatives.
For New York: Highlight your experience with agile methodologies and your ability to adapt to changing project requirements.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
This round focuses on your fundamental coding skills and problem-solving abilities. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will assess how you approach the problem, your coding style, and your ability to explain your solution and its complexity.
What they look for
Ability to translate a problem into code.Clear and logical thinking.Proficiency in at least one programming language.Understanding of time and space complexity.
Evaluation
Problem-solving approach
Coding correctness
Understanding of data structures and algorithms
Communication of thought process
Sample questions
Given an array of integers, return indices of the two numbers such that they add up to a specific target.
ArrayHash TableTwo Pointers
Implement a function to reverse a linked list.
Linked ListRecursionIteration
Find the kth smallest element in a binary search tree.
TreeBinary Search TreeIn-order Traversal
Prep for this round
01Practice coding problems on platforms like LeetCode, focusing on medium difficulty.
02Be prepared to explain your code and its time/space complexity.
03Think out loud and communicate your thought process clearly.
04Ask clarifying questions if the problem statement is ambiguous.
Common rejection reasons
×Poor communication of thought process.
×Inability to solve basic coding problems correctly.
×Lack of understanding of fundamental data structures.
×Not asking clarifying questions.
Hard
System Design Interview · 60 min · Senior Software Engineer / Architect
This round evaluates your ability to design large-scale, distributed systems. You'll be presented with a high-level problem and asked to design a system to solve it, considering aspects like scalability, availability, data storage, and performance. You'll need to discuss various components, their interactions, and the trade-offs involved.
What they look for
Ability to design complex, scalable systems.Knowledge of various system components (databases, caches, load balancers, message queues).Understanding of trade-offs between different design choices.Ability to handle failure and ensure reliability.
Evaluation
System design capabilities
Scalability and performance considerations
Understanding of distributed systems
Trade-off analysis
Problem decomposition
Sample questions
Design a URL shortening service like Bitly.
System DesignScalabilityDatabase DesignAPI Design
Design a system to track user activity on a website in real-time.
System DesignReal-time ProcessingData PipelinesScalability
Design a distributed cache system.
System DesignDistributed SystemsCachingConsistency
Prep for this round
01Study system design principles and common patterns.
02Practice designing systems for various scenarios.
03Be prepared to discuss databases, caching strategies, load balancing, and message queues.
04Think about scalability, reliability, and maintainability.
05Clearly articulate your design choices and the reasoning behind them.
Common rejection reasons
×Inability to design a scalable system.
×Lack of understanding of distributed systems concepts.
×Poor trade-off analysis.
×Not considering edge cases or failure scenarios.
Med
Behavioral And Managerial Interview · 45 min · Hiring Manager / Team Lead
This round focuses on your behavioral aspects, past experiences, and how you fit within the team and company culture. You'll be asked questions about your career, how you handle specific situations, and your motivations. The interviewer wants to understand your working style, your ability to collaborate, and your potential to grow within the company.
What they look for
How you work with others.Your ability to handle challenging situations.Your motivation and career goals.Alignment with The Trade Desk's values.
Evaluation
Communication skills
Teamwork and collaboration
Problem-solving approach
Past experiences and learnings
Cultural alignment
Sample questions
Tell me about a time you faced a conflict with a coworker and how you resolved it.
BehavioralConflict ResolutionTeamwork
Describe a project where you had to learn a new technology quickly.
BehavioralLearning AgilityAdaptability
What are your career goals for the next 3-5 years?
BehavioralCareer GoalsMotivation
Why are you interested in The Trade Desk and this specific role?
BehavioralMotivationCompany Fit
Prep for this round
01Prepare STAR method answers for common behavioral questions.
02Be ready to discuss your resume and past projects in detail.
03Think about your strengths, weaknesses, and career aspirations.
04Research The Trade Desk's values and culture.
05Ask thoughtful questions about the team, role, and company.
Common rejection reasons
×Poor communication skills.
×Lack of collaboration or teamwork.
×Negative attitude or lack of enthusiasm.
×Inability to articulate past experiences effectively.