Software Engineer

Software EngineerP2Medium to Hard

This interview process is designed to assess candidates for a Software Engineer position at UKG, focusing on technical proficiency, problem-solving skills, and cultural fit. The process is structured to evaluate candidates across various aspects of software development, from core algorithms to system design and collaborative abilities.

Rounds·3

Timeline·~14d

Experience·3 - 7 yrs

Comp band·US$110000 - US$140000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving approach and logical thinking.
  • Data structures and algorithms knowledge.
  • Code quality, efficiency, and readability.
  • System design and architectural thinking.
  • Communication and collaboration skills.
  • Behavioral fit and alignment with UKG's values.

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, sorting, searching).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte.
  3. Understand core computer science concepts (operating systems, databases, networking).
  4. Study system design principles for scalability, reliability, and maintainability.
  5. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result).
  6. Research UKG's products, values, and recent news.
  7. Be ready to discuss your past projects in detail, highlighting your contributions and learnings.
  8. Practice explaining your thought process clearly and concisely.
  9. Prepare questions to ask the interviewer about the role, team, and company culture.

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 5-10 problems per topic.

Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, hash maps) and algorithms (sorting, searching, recursion, dynamic programming). Practice implementing these from scratch and analyze their time and space complexity. Aim for at least 5-10 problems per data structure/algorithm type.

Questions

Commonly asked.

  • Write a function to reverse a linked list.
  • Given an array of integers, find the two numbers that add up to a specific target.
  • Design a system to handle real-time notifications for a large user base.
  • Tell me about a time you disagreed with a technical decision and how you handled it.
  • How would you optimize a slow database query?
  • Explain the difference between a process and a thread.
  • Describe a situation where you had to deal with ambiguity in requirements.
  • What are the trade-offs between SQL and NoSQL databases?
  • How do you ensure the quality of your code?
  • What are your career aspirations?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Global

Interview focus

Adaptability to local market trends and technologies.Understanding of regional compliance and best practices.Collaboration with geographically distributed teams.

Common questions

  • Describe a challenging project you worked on and how you overcame obstacles.
  • How do you approach debugging complex issues?
  • Tell me about a time you had to work with a difficult team member.

Tips

  • Research UKG's presence and projects in this specific region.
  • Be prepared to discuss how your experience aligns with local industry demands.
  • 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 UKG.

Frequently reported on UKG loops

Other guides

More at UKG.