Scale Engineer

Software Engineer

Software EngineerSoftware Engineer IIMedium to Hard

The Software Engineer II interview at ZipRecruiter 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 assessments, behavioral questions, and a discussion with a hiring manager.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$110000 - US$150000

Interview time·150 min

Evaluation

What they measure.

  • Technical skills (coding, algorithms, data structures)
  • Problem-solving approach
  • System design capabilities
  • Communication and collaboration skills
  • Cultural fit and alignment with ZipRecruiter values
  • Experience and past performance

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts, including data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte.
  3. Study system design principles and common architectural patterns.
  4. Prepare to discuss your past projects and technical challenges in detail.
  5. Research ZipRecruiter's products, mission, and values.
  6. Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Formulate thoughtful questions to ask the interviewers.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice implementations and complexity analysis.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language and analyze their time and space complexity.

Questions

Commonly asked.

  • Tell me about a time you had to deal with ambiguity in a project.
  • How would you design a URL shortening service?
  • Write a function to find the kth largest element in an unsorted array.
  • Describe your experience with cloud platforms (AWS, Azure, GCP).
  • What are the trade-offs between SQL and NoSQL databases?
  • How do you stay updated with new technologies?
  • Tell me about a time you failed and what you learned from it.
  • Design a system to handle real-time notifications for a social media platform.
  • Explain the concept of RESTful APIs.
  • What are your strengths and weaknesses as a software engineer?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote

Interview focus

Problem-solving skillsTechnical depth in core programming languages (e.g., Python, Java, Go)Understanding of data structures and algorithmsSystem design principlesCollaboration and communication skills

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 teammate.
  • What are your thoughts on microservices vs. monolith architecture?
  • How do you ensure the scalability and performance of your code?

Tips

  • Be prepared to discuss specific projects and your contributions in detail.
  • Practice explaining technical concepts clearly and concisely.
  • Research ZipRecruiter's tech stack and recent product developments.
  • Prepare questions about the team, projects, and company culture.

Rounds

Round-by-round.

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

Med

Technical Interview (Coding) · 45 min · Software Engineer (Peer)

This round focuses on assessing your fundamental coding 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 your ability to write clean, working code. Expect to explain your thought process throughout the problem-solving session.

What they look for

Clean and efficient code.Logical and structured approach to problem-solving.Understanding of algorithmic complexity.Ability to communicate technical ideas effectively.

Evaluation

  • Correctness of code
  • Efficiency of solution (time and space complexity)
  • Code readability and maintainability
  • Problem-solving approach
  • Ability to handle edge cases and constraints

Sample questions

  • Given a binary tree, find its inorder traversal.

    Data StructuresTreesRecursion

  • Implement a function to check if a string is a palindrome.

    StringsTwo Pointers

  • Find the first non-repeating character in a string.

    StringsHash Maps

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, focusing on medium-difficulty questions.
  2. 02Be comfortable explaining your code and its complexity.
  3. 03Review common data structures (arrays, linked lists, trees, hash maps) and algorithms (sorting, searching, dynamic programming).

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Incorrect or inefficient algorithm implementation.
  • ×Lack of understanding of fundamental data structures.
  • ×Poor problem-solving approach.
  • ×Inability to handle follow-up questions or edge cases.

DSA

Coding questions at ZipRecruiter.

Frequently reported on ZipRecruiter loops

View all at ZipRecruiter

Other guides

More at ZipRecruiter.