McKinsey's Software Engineer I interview process is designed to assess a candidate's foundational technical skills, problem-solving abilities, and cultural fit within the firm. The process typically involves multiple rounds, starting with an initial screening and progressing through technical assessments and behavioral interviews.
Rounds·3
Timeline·~14d
Experience·0 - 2 yrs
Comp band·US$75000 - US$95000
Interview time·150 min
Evaluation
Preparation
Tips
Study plan
Fig · Study plan — 04 phases
01 / 04Phase 01 of 04
Weeks 1-2: Data Structures & Basic Algorithms. Practice problems on LeetCode Easy/Medium.
Weeks 1-2: Focus on Data Structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables) and their common operations and time complexities. Practice problems related to each data structure. Begin reviewing basic algorithms like sorting and searching.
Phase 02 of 04
Weeks 3-4: Advanced Algorithms (DP, Greedy, Graphs). Focus on problem-solving strategies.
Weeks 3-4: Deep dive into Algorithms (Dynamic Programming, Greedy Algorithms, Graph Traversal - BFS/DFS, Recursion). Understand different algorithmic paradigms and their applications. Solve a variety of medium-difficulty problems for each algorithm type.
Phase 03 of 04
Week 5: System Design Basics & Behavioral Prep. Practice STAR method.
Week 5: Prepare for System Design basics relevant to entry-level roles, focusing on concepts like API design, database choices (SQL vs. NoSQL), caching, and load balancing at a high level. Also, start preparing for behavioral questions using the STAR method.
Phase 04 of 04
Week 6: Mock Interviews and Review. Refine communication and address weak areas.
Week 6: Mock interviews, focusing on both technical problem-solving and behavioral questions. Refine your communication style and ability to articulate your thought process. Review any weak areas identified during practice.
Questions
Locations
Fig · Regions — 02 locations
01 / 02Location
Interview focus
Common questions
Tips
Location
Interview focus
Common questions
Tips
Rounds
Expand a step for evaluation criteria, sample questions, and prep notes.
Technical Interview (Coding) · 45 min · Software Engineer or Senior Software Engineer
This round focuses on assessing your core programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your ability to understand the problem, devise an efficient solution, write clean code, and explain your reasoning. Expect to write code in a shared editor or on a whiteboard.
What they look for
Evaluation
Sample questions
Implement a function to find the kth smallest element in an unsorted array.
Given a binary tree, determine if it is a valid binary search tree.
Prep for this round
Common rejection reasons
System Design / Technical Discussion · 60 min · Senior Software Engineer or Engineering Manager
This round evaluates your ability to design and think about software systems. For an entry-level role, this might involve discussing the design of a simpler system or components of a larger system. You'll be expected to discuss trade-offs, scalability, and potential challenges. Focus on demonstrating a structured approach to design.
What they look for
Evaluation
Sample questions
Design a basic rate limiter.
How would you design a system to track the most popular items on a website?
Prep for this round
Common rejection reasons
Behavioral Interview · 45 min · Hiring Manager or Senior Team Member
This round assesses your behavioral competencies and cultural fit. You'll be asked questions about your past experiences, focusing on teamwork, leadership, problem-solving, and how you handle challenging situations. Use the STAR method (Situation, Task, Action, Result) to structure your answers and provide specific examples.
What they look for
Evaluation
Sample questions
Tell me about a time you failed and what you learned from it.
Describe a situation where you had to work with a difficult team member.
Why are you interested in McKinsey?
Prep for this round
Common rejection reasons
DSA
Frequently reported on McKinsey loops
Other guides
