Scale Engineer

Software Engineer

Software EngineerT8Medium to Hard

The Software Engineer (T8) interview at Yext is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit for the company. The process typically involves multiple rounds, including technical assessments, behavioral interviews, and a final discussion with a hiring manager or senior leadership. The goal is to identify candidates who can contribute effectively to Yext's innovative and collaborative environment.

Rounds·4

Timeline·~10d

Experience·4 - 8 yrs

Comp band·US$110000 - US$150000

Interview time·180 min

Evaluation

What they measure.

  • Problem-solving skills
  • Technical depth and breadth
  • Coding proficiency
  • System design capabilities
  • Communication skills
  • Teamwork and collaboration
  • Adaptability and learning agility
  • Cultural 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 Coderbyte, focusing on medium to hard difficulty.
  3. Prepare for system design questions by studying common architectural patterns and trade-offs.
  4. Reflect on your past projects and experiences to prepare for behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research Yext's products, services, and company culture.
  6. Prepare thoughtful questions to ask the interviewer about the role, team, and company.
  7. Understand Yext's core values and how your experiences align with them.

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 5-7 problems/week.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary, BST, AVL), graphs, hash tables, heaps. Practice implementing and analyzing time/space complexity for common algorithms like sorting (quicksort, mergesort), searching (binary search), graph traversal (BFS, DFS), dynamic programming. Aim for 5-7 problems per week.

Questions

Commonly asked.

  • Write a function to find the kth largest element in an unsorted array.
  • Design a system to handle real-time analytics for a website.
  • Tell me about a time you disagreed with a teammate and how you resolved it.
  • How would you optimize a slow database query?
  • Explain the concept of RESTful APIs.
  • Describe a project you are particularly proud of and your role in it.
  • How do you approach testing your code?
  • What are the trade-offs between monolithic and microservices architectures?
  • How do you handle production incidents?
  • What motivates you to work at Yext?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

New York

Interview focus

Adaptability to local market challenges and opportunities.Understanding of regional technology trends.Collaboration with geographically distributed teams.

Common questions

  • Describe a challenging technical problem you solved at your previous role.
  • How do you approach debugging a complex issue?
  • Tell me about a time you had to work with a difficult stakeholder.
  • What are your thoughts on the current state of cloud computing?
  • How do you stay updated with new technologies?

Tips

  • Research Yext's presence and projects in this specific region.
  • Be prepared to discuss how your skills align with local industry needs.
  • Highlight any experience working with international or remote teams.

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.