L4

Software EngineerSoftware Engineer IIMedium to Hard

This interview process is designed to assess candidates for the Software Engineer II (L4) position at UiPath. It evaluates technical proficiency, problem-solving skills, collaboration abilities, and cultural fit.

Rounds·3

Timeline·~10d

Experience·3 - 7 yrs

Comp band·US$110000 - US$140000

Interview time·150 min

Evaluation

What they measure.

  • Technical depth and breadth in relevant programming languages and technologies.
  • Problem-solving skills and analytical thinking.
  • Ability to design and architect scalable and robust solutions.
  • Understanding of software development best practices (testing, CI/CD, code reviews).
  • Communication skills and ability to articulate technical concepts clearly.

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, focusing on medium to hard difficulty.
  3. Study system design principles and common architectural patterns.
  4. Understand UiPath's products, mission, and recent developments.
  5. Prepare behavioral examples using the STAR method (Situation, Task, Action, Result).
  6. Research common interview questions for Software Engineer roles at similar companies.
  7. Practice explaining your thought process clearly and concisely.
  8. 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 & Algorithms

Weeks 1-2: Data Structures & Algorithms (Arrays, Trees, Graphs, DP, Sorting, Searching).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash maps, heaps, sorting, searching, dynamic programming, and graph traversal algorithms. Practice implementing these and analyzing their time and space complexity.

Questions

Commonly asked.

  • Tell me about yourself.
  • Describe a challenging technical problem you faced and how you solved it.
  • How do you approach learning a new technology?
  • What are your strengths and weaknesses?
  • Describe a time you worked on a team project that failed. What did you learn?
  • How do you handle constructive criticism?
  • Design a system for [specific problem, e.g., a URL shortener, a social media feed].
  • Write code to solve [specific algorithm problem, e.g., find the kth largest element in an array].
  • What interests you about UiPath?
  • Where do you see yourself in 5 years?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Bucharest, Romania

Interview focus

Understanding of UiPath's core products and their impact on the market.Ability to articulate contributions to team success and company goals.Demonstrated leadership potential and mentorship capabilities.Adaptability to UiPath's specific engineering culture and values.

Common questions

  • Tell me about a challenging project you worked on at UiPath.
  • How do you handle conflicting priorities in a fast-paced environment?
  • Describe a time you had to mentor a junior engineer. What was your approach?
  • What are your thoughts on the current state of RPA and AI at UiPath?
  • How do you stay updated with the latest technologies relevant to UiPath's products?

Tips

  • Research UiPath's recent product launches and strategic initiatives.
  • Prepare specific examples of how you've contributed to team success and mentored others.
  • Be ready to discuss your understanding of the RPA and AI landscape.
  • Showcase your enthusiasm for UiPath's mission and technology.

Rounds

Round-by-round.

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

Med

Technical Interview - Coding · 45 min · Software Engineer / Senior Software Engineer

This round focuses on assessing your core programming skills and problem-solving abilities. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your approach, the efficiency of your solution, and the clarity of your code. Expect to write code in a shared editor and explain your thought process throughout.

What they look for

Strong understanding of fundamental algorithms and data structures.Ability to write clean, efficient, and bug-free code.Clear communication of problem-solving strategy.Ability to adapt to feedback and improve the solution.

Evaluation

  • Correctness of the solution.
  • Efficiency of the solution (time and space complexity).
  • Code clarity and readability.
  • Problem-solving approach and ability to break down complex problems.
  • Communication of thought process.

Sample questions

  • Given an array of integers, return indices of the two numbers such that they add up to a specific target.

    ArrayHash MapTwo Pointers
  • Implement a function to reverse a linked list.

    Linked ListPointers
  • Find the kth smallest element in a binary search tree.

    TreeBinary Search TreeRecursion
  • Given a string, find the length of the longest substring without repeating characters.

    StringSliding WindowHash Map

Prep for this round

  1. 01Practice coding problems regularly.
  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 before coding.

Common rejection reasons

  • ×Inability to articulate thought process.
  • ×Lack of fundamental knowledge in data structures or algorithms.
  • ×Poor coding practices (e.g., no error handling, inefficient solutions).
  • ×Inability to solve the given problem within the time limit.

DSA

Coding questions at UiPath.

Frequently reported on UiPath loops

Other guides

More at UiPath.