Scale Engineer

Software Engineer

Software EngineerT4Medium to Hard

The Software Engineer T4 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 interviews focusing on data structures, algorithms, system design, and behavioral aspects. The goal is to identify engineers who can contribute effectively to Yext's innovative projects and collaborative environment.

Rounds·3

Timeline·~10d

Experience·4 - 8 yrs

Comp band·US$120000 - US$160000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency and best practices
  • System design capabilities
  • Communication skills
  • Teamwork and collaboration
  • Cultural fit and alignment with Yext values

Preparation

How to prepare.

Tips

  1. Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
  3. Study system design principles, including scalability, availability, consistency, and common design patterns (e.g., load balancing, caching, databases).
  4. Prepare to discuss your past projects in detail, highlighting your contributions and technical challenges.
  5. Research Yext's products, services, and company culture to understand their business and how your skills can contribute.
  6. Prepare questions to ask the interviewers about the role, team, and company.
  7. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).

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 coding.

Weeks 1-2: Focus on core data structures and algorithms. Practice implementing them and solving problems related to time and space complexity. Cover topics like arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and basic dynamic programming.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system to handle real-time notifications for a large user base.
  • Explain the concept of RESTful APIs and their principles.
  • How would you design a distributed cache?
  • Tell me about a time you had to deal with a production issue. What was your approach?
  • What are the differences between processes and threads?
  • How do you ensure the scalability of a web application?
  • Describe a situation where you had to mentor a junior engineer.
  • What is Big O notation and why is it important?
  • Design a rate limiter.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

New York

Interview focus

System Design: Emphasis on scalability, reliability, and trade-offs.Problem-Solving: Ability to break down complex problems and articulate solutions.Coding Proficiency: Clean, efficient, and well-documented code.Collaboration: Teamwork and communication skills.

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.
  • How do you handle concurrency in your applications?
  • Tell me about a time you disagreed with a teammate and how you resolved it.

Tips

  • For New York: Be prepared for a strong emphasis on system design and distributed systems, given the concentration of senior engineering roles.
  • For Remote/Other Locations: While core technical skills are paramount, highlight your ability to work independently and communicate effectively in a distributed team setting.

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 typically involves a coding challenge, often presented as a problem to solve on a shared editor or whiteboard. The interviewer will assess your ability to translate a problem into working code, focusing on correctness, efficiency, and code quality. You'll be expected to explain your thought process, discuss trade-offs, and handle follow-up questions or modifications to the problem.

What they look for

Strong grasp of data structures and algorithms.Ability to write clean, efficient, and bug-free code.Clear communication of their approach.Consideration of edge cases and constraints.

Evaluation

  • Correctness of the solution.
  • Efficiency of the solution (time and space complexity).
  • Code quality (readability, maintainability, modularity).
  • Problem-solving approach and ability to break down the problem.
  • Communication of the thought process.

Sample questions

  • Given a binary tree, invert the tree.

    Data StructuresAlgorithmsRecursionTrees

  • Find the kth smallest element in a sorted matrix.

    Data StructuresAlgorithmsBinary SearchMatrices

Prep for this round

  1. 01Practice coding problems extensively.
  2. 02Focus on explaining your thought process out loud.
  3. 03Write clean, well-commented code.
  4. 04Be prepared to discuss time and space complexity.
  5. 05Ask clarifying questions if the problem is unclear.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Poor coding practices (e.g., unreadable, inefficient code).
  • ×Lack of understanding of fundamental data structures and algorithms.
  • ×Failure to consider edge cases or constraints.

DSA

Coding questions at Yext.

Frequently reported on Yext loops

View all at Yext

Other guides

More at Yext.