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.

DSA

Coding questions at Yext.

Frequently reported on Yext loops

View all at Yext

Other guides

More at Yext.