Software Engineer

Software EngineerT6Hard

This interview process is for a Software Engineer (T6) role at Yext. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company.

Rounds·4

Timeline·~7d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·180 min

Evaluation

What they measure.

  • Technical proficiency in relevant programming languages and frameworks.
  • Problem-solving and analytical skills.
  • System design and architecture capabilities.
  • Communication and collaboration skills.
  • Cultural fit and alignment with Yext's values.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts (data structures, algorithms, operating systems, databases).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  3. Study system design principles and common architectural patterns.
  4. Prepare to discuss your past projects and contributions in detail.
  5. Research Yext's products, services, and company culture.
  6. Prepare questions to ask the interviewers about the role, team, and company.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms. Practice 2-3 problems/day.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash maps, heaps, sorting, and searching algorithms. Practice implementing these and analyzing their time and space complexity. Aim for at least 2-3 coding problems per day.

Questions

Commonly asked.

  • Tell me about a challenging project you worked on and your role in it.
  • How would you design a system to handle X concurrent users?
  • Describe a time you had to debug a production issue under pressure.
  • What are your strengths and weaknesses as a software engineer?
  • How do you approach learning new technologies?
  • Explain the concept of eventual consistency.
  • What is the difference between a process and a thread?
  • How do you handle disagreements within a team?
  • Describe a situation where you had to make a trade-off between technical debt and feature delivery.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

New York

Interview focus

Deep understanding of distributed systems and cloud architecture.Experience with large-scale data processing and management.Leadership potential and ability to mentor others.Adaptability to new technologies and industry trends.

Common questions

  • Describe a complex technical challenge you faced and how you overcame it.
  • How do you approach designing a scalable system for X (e.g., a URL shortener, a social media feed)?
  • Tell me about a time you had to mentor a junior engineer.
  • What are your thoughts on the latest trends in cloud computing and distributed systems?

Tips

  • Emphasize experience with AWS/GCP/Azure services relevant to large-scale deployments.
  • Be prepared to discuss trade-offs in system design decisions.
  • Showcase examples of leading technical initiatives or teams.
  • Research Yext's specific technology stack and recent product launches.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Hard

Technical Interview - Data Structures And Algorithms · 45 min · Software Engineer (Peer)

This round focuses on assessing your core computer science knowledge and coding abilities. You will be presented with one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your approach to solving the problem, the efficiency of your solution, and the quality of your code. You'll be expected to explain your thought process, discuss trade-offs, and write clean, working code, often in a shared editor.

What they look for

Strong grasp of algorithms and data structures.Ability to translate a problem into working code.Clear communication of thought process.Attention to detail and edge case handling.

Evaluation

  • Correctness of the solution.
  • Efficiency of the algorithm (time and space complexity).
  • Code quality (readability, maintainability, modularity).
  • Problem-solving approach and ability to handle edge cases.

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 kth smallest element in a binary search tree.

    TreeBinary Search TreeRecursion

Prep for this round

  1. 01Practice coding problems extensively.
  2. 02Focus on understanding the time and space complexity of your solutions.
  3. 03Be prepared to explain your code line by line.
  4. 04Think out loud and communicate your approach to the interviewer.

Common rejection reasons

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

DSA

Coding questions at Yext.

Frequently reported on Yext loops

Other guides

More at Yext.