Scale Engineer

Software Engineer

Software EngineerT3Medium

The Software Engineer T3 interview at Yext 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.

Rounds·3

Timeline·~7d

Experience·3 - 5 yrs

Comp band·US$110000 - US$140000

Interview time·150 min

Evaluation

What they measure.

  • Technical Skills: Proficiency in programming languages, data structures, algorithms, and system design.
  • Problem-Solving: Ability to analyze problems, devise effective solutions, and articulate the thought process.
  • Experience: Relevance and depth of experience in software development, including past projects and accomplishments.
  • Cultural Fit: Alignment with Yext's values, teamwork, and communication style.
  • Communication: Clarity and effectiveness in conveying technical concepts and ideas.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts, including data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, graph traversal).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or similar sites, focusing on medium-difficulty problems.
  3. Brush up on system design principles, including scalability, reliability, and performance optimization.
  4. Prepare to discuss your resume in detail, highlighting key projects, your role, and the technologies used.
  5. Anticipate behavioral questions and prepare STAR method (Situation, Task, Action, Result) answers for common scenarios.
  6. Research Yext's products, services, and company culture to tailor your responses and questions.
  7. Understand common software development methodologies (Agile, Scrum) and your experience with them.
  8. Be ready to discuss your preferred programming languages and frameworks, and why.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms. Practice coding problems.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, AVL trees), graphs, hash tables. Study common algorithms like sorting (quicksort, mergesort), searching (binary search), graph traversal (BFS, DFS), dynamic programming. Practice implementing these structures and algorithms and solving related problems.

Questions

Commonly asked.

  • Describe a time you disagreed with a technical decision and how you handled it.
  • How would you design a system to handle real-time notifications for a web application?
  • Write a function to find the kth smallest element in a binary search tree.
  • Tell me about a project you are particularly proud of and why.
  • How do you approach testing your code?
  • What are the trade-offs between SQL and NoSQL databases?
  • Explain the concept of polymorphism.
  • How do you handle production issues and debugging?
  • Describe a situation where you had to mentor a junior engineer.
  • What are your thoughts on continuous integration and continuous deployment (CI/CD)?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

New York

Interview focus

Problem-solving skillsTechnical depth in core programming languages (e.g., Java, Python, JavaScript)Understanding of data structures and algorithmsSystem design principlesCollaboration and communication skills

Common questions

  • Tell me about a challenging technical problem you solved at your previous company.
  • How do you approach debugging a complex issue?
  • Describe a time you had to work with a difficult team member.
  • What are your thoughts on microservices vs. monolith architecture?
  • How do you ensure the scalability and performance of your code?

Tips

  • Be prepared to discuss specific examples from your past projects.
  • Clearly articulate your thought process when solving problems.
  • Research Yext's products and services to understand how your skills can contribute.
  • Ask insightful questions about the team, technology stack, and company culture.

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 programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will observe how you approach the problem, write code, test it, and explain your solution. Expect to discuss time and space complexity.

What they look for

Clean, well-structured, and efficient code.A systematic approach to problem-solving.Ability to explain the time and space complexity of solutions.Understanding of edge cases and error handling.

Evaluation

  • Coding proficiency
  • Algorithmic thinking
  • Problem-solving approach
  • Code clarity and efficiency

Sample questions

  • Given an array of integers, find the contiguous subarray with the largest sum.

    ArrayDynamic Programming

  • Implement a function to reverse a linked list.

    Linked ListPointers

  • Find the first non-repeating character in a string.

    StringHash Map

Prep for this round

  1. 01Practice coding on a whiteboard or a shared editor.
  2. 02Think out loud and explain your approach before coding.
  3. 03Test your code with various inputs, including edge cases.
  4. 04Be prepared to discuss alternative solutions and their trade-offs.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of fundamental understanding of data structures and algorithms.
  • ×Poor coding practices or inefficient solutions.
  • ×Inability to debug code effectively.

DSA

Coding questions at Yext.

Frequently reported on Yext loops

View all at Yext

Other guides

More at Yext.