Interview questions for McKinsey & Company Software Engineer
Hi everyone, this topic is for sharing Preparation guidelines and interview experience for McKinsey & Company Software Engineer
The Software Engineer at McKinsey & Company involves a multi-stage assessment and interview process, designed to evaluate both technical skills and business proficiency. Below is a summary of the process and key points from the interviews you provided:
Interview Process Overview
Variant A (3 rounds, Dec 2023)
Round 1: Technical – Focused on Angular lifecycle hooks and SOLID principles.
Round 5: Final Interview – Mix of behavioral, technical, and situational questions.
Technical/Software Engineering
Explain Angular lifecycle hooks. Describe each hook and its purpose.
Explain the SOLID principles with practical examples.
SQL: Write or explain queries to retrieve and manipulate data for common scenarios.
SQL: Explain different types of JOINs and when to use each.
SQL: How do you optimize SQL queries? Discuss techniques such as indexing, query structure, and analyzing execution plans.
In-depth technical follow-ups on your software engineering experience and how you apply your skills to real-world problems.
HR/Personality/Behavioral
Introduce yourself / Tell me about yourself.
Walk me through your background and experience.
What are your career aspirations?
Why do you want to join McKinsey?
Describe a challenging situation you faced and how you overcame it. What was the impact?
Are you open to relocation? (as applicable)
Situational/Case Study/Decision-Making
Work through a case study to assess problem-solving and technical knowledge. Structure your approach, state assumptions, communicate your thought process, and propose a solution.
Final-round mixed scenarios: respond to situational prompts that test judgment, prioritization, and communication under ambiguity.
Interview Preparation Tips
Focus on core technical topics highlighted in the interviews: Angular lifecycle hooks, SOLID principles, and SQL (queries, joins, optimization).
Practice explaining concepts clearly and concisely; narrate your thought process.
Prepare for behavioral interviews using the STAR method (Situation, Task, Action, Result).
Align your motivation and career goals with McKinsey’s values and mission; articulate your “why McKinsey.”
In case studies, break problems down systematically and communicate assumptions and trade-offs.
Be authentic; showcase both technical depth and teamwork/communication skills.
Be aware that communications may be bilingual depending on location (e.g., interviews in Portuguese, HR communications in English).
Reflect on logistics such as relocation and be ready to discuss constraints candidly.
If you have attended the process from your campus, pls share your experiences here; Please follow [guidelines](https://discuss.boardinfinity.com/t/interview-transcript-guidelines/22428?u=abhay-gupta-ebaf4123)
Application Process: I was interviewed in December 2023. The process consisted of 3 rounds: 2 technical rounds and 1 HR round.
Interview Rounds:
Round 1 - Technical Round:
Questions Asked:
Lifecycle hooks of Angular.
SOLID principles.
Your Approach: For the Angular question, I explained the different lifecycle hooks and their purposes. For SOLID principles, I provided examples of each principle in the context of software development.
Outcome: Passed this round.
Round 2 - Technical Round:
Questions Asked:
Questions on SQL.
Your Approach: I discussed various SQL concepts, including queries, joins, and optimization techniques.
Outcome: Passed this round.
Round 3 - HR Round:
Questions Asked:
Introduction and basic questions.
Your Approach: I introduced myself, discussed my background, and answered behavioral questions confidently.
Outcome: Passed this round.
Preparation Tips:
Focus on core technical topics like Angular, SOLID principles, and SQL.
Practice explaining concepts clearly and concisely.
Be prepared for behavioral questions in the HR round.
Conclusion:
The interview process was smooth and well-structured. I felt confident in my technical rounds, but I could have prepared more for the HR round to articulate my experiences better. My advice to future candidates is to thoroughly understand the fundamentals and practice explaining them in simple terms.
Application Process: [Application process details not provided]
Interview Rounds:
Round 1 - Technical Round:
Questions Asked:
Introduce yourself.
How to reverse a sentence using Stream API?
Your Approach:
For the introduction, I briefly summarized my background, education, and relevant experience.
For the Stream API question, I explained the steps to split the sentence into words, reverse the order, and then join them back using the Stream API.
Outcome: [Outcome not specified]
Preparation Tips:
Focus on core Java concepts, especially Stream API and collections.
Practice coding problems related to string manipulation and data structures.
Be prepared to explain your thought process clearly during the interview.
Conclusion:
The interview was a good learning experience, especially the technical round. I realized the importance of being thorough with Java Stream API and string operations. For future candidates, I’d recommend practicing similar problems and being confident in explaining your solutions.
Application Process: The application process involved submitting a resume for shortlisting, followed by a coding test and a technical interview round.
Interview Rounds:
Round 1 - Resume Shortlist:
Details: The first round was a resume shortlist where the recruiters reviewed my resume to assess my qualifications and experience.
Outcome: My resume was shortlisted for the next round.
Round 2 - Coding Test:
Questions Asked: The coding test included basic coding problems related to C and C++, along with SQL queries.
Your Approach: I practiced coding problems beforehand and ensured I was comfortable with SQL queries.
Outcome: I performed well and advanced to the next round.
Round 3 - Technical Interview:
Questions Asked: The interviewer asked detailed questions about the projects I had mentioned in my resume, focusing on areas of my interest and expertise.
Your Approach: I explained my projects clearly, highlighting my contributions and the technologies used. I also discussed my problem-solving approach and learnings from each project.
Outcome: The interview went well, and I received positive feedback.
Preparation Tips:
Keep your resume concise and tailored to the role. Highlight projects and skills relevant to the position.
Practice coding problems, especially in languages like C and C++, and be comfortable with SQL queries.
Be prepared to discuss your projects in detail, focusing on your role, challenges faced, and solutions implemented.
Conclusion:
Overall, the interview process was thorough but fair. I felt well-prepared, and the key was to stay confident and articulate my experiences clearly. For future candidates, I’d recommend focusing on resume clarity, coding practice, and project discussions to ace the interview.
Application Process: Applied via LinkedIn and was interviewed in May 2024.
Interview Rounds:
Round 1 - Coding Test:
Questions Asked: Not specified.
Your Approach: The candidate mentioned it was good but did not provide details.
Outcome: Passed.
Round 2 - Group Discussion:
Questions Asked: “Tell me about yourself.”
Your Approach: The candidate did not elaborate on their response.
Outcome: Not specified.
Preparation Tips:
Topics to prepare: Strings.
Recommended skills: SQL, Data Modeling, Python, Agile, Coding, GIT, Javascript, Software Development Life Cycle.
Conclusion:
The candidate did not provide a detailed conclusion but shared a light-hearted note about writing the experience for access to website features.
Application Process: I applied through a recruitment consultant and was interviewed in December 2023.
Interview Rounds:
Round 1 - Technical Round:
Questions Asked:
How does the team work in your project?
Your Approach: I explained the collaborative dynamics of my team, highlighting roles, communication channels, and agile methodologies we follow.
Outcome: The round went well, and I received positive feedback on my clarity and understanding of team workflows.
Preparation Tips:
Brush up on team dynamics and agile methodologies.
Be ready to discuss your project experiences in detail.
Practice explaining technical concepts clearly and concisely.
Conclusion:
Overall, the interview was a great learning experience. I felt confident in my responses, but I could have prepared more examples of teamwork challenges and solutions. My advice for future candidates is to thoroughly understand their projects and be ready to discuss team collaboration in depth.
Application Process: Applied through an online application process.
Interview Rounds:
Round 1 - Phone Screen:
Questions Asked:
Walked through my resume in detail.
Discussed past projects, focusing on my contributions and challenges faced.
Your Approach:
Prepared by reviewing my resume thoroughly and practicing concise explanations of my projects.
Tried to highlight problem-solving skills and teamwork.
Outcome:
The call had multiple interviewers, and the poor connection caused awkward delays. I believe this affected the flow of the conversation. Did not advance to the next round.
Conclusion:
Overall, the experience was insightful but challenging due to technical issues. For future candidates, I’d recommend ensuring a stable internet connection and practicing clear, concise communication to avoid misunderstandings during phone screens.
Application Process: Applied through campus placement.
Interview Rounds:
Round 1 - One-on-one Technical Interview:
Questions Asked:
Detailed discussion on everything mentioned in my resume.
Questions on DBMS, OOPs concepts, and React.
Your Approach:
Prepared thoroughly on all topics listed in my resume.
Revised core concepts of DBMS and OOPs, and brushed up on React fundamentals.
Outcome: Cleared the round successfully.
Preparation Tips:
Focus on your resume and be ready to explain every detail.
Revise core technical subjects like DBMS and OOPs.
Practice React concepts if it’s part of your skill set.
Conclusion:
The interview was quite detailed and focused on my resume and technical skills. Being well-prepared on my resume and core subjects helped me clear the round. For future candidates, I’d recommend thorough preparation on resume-based questions and strong fundamentals in relevant technologies.
Application Process: Applied through university placement for McKinsey Digital Labs. The process consisted of 5 rounds.
Interview Rounds:
Round 1 - Online Coding Assessment (HackerRank):
Questions Asked: 6 coding questions divided into Easy, Medium, and Hard levels. There was a cutoff of 2 questions.
Your Approach: Focused on solving as many questions as possible, prioritizing accuracy and efficiency.
Outcome: Passed this round.
Round 2 - Pair Coding Round:
Questions Asked: Coding problems where we had to discuss the problem-solving approach with a McKinsey team member.
Your Approach: Emphasized clear communication and logical thinking while discussing solutions.
Outcome: Passed this round; the focus was on approach rather than output.
Round 3 - Technical Interview (Face-to-Face):
Questions Asked: Database design, schema modeling in Java/C++, and project-related questions.
Your Approach: Tried to explain my thought process clearly and linked answers to my project experience.
Outcome: Eliminated in this round. The interviewers were polite and professional.
Round 4 - Technical Interview:
Questions Asked: [Details not provided]
Your Approach: [Details not provided]
Outcome: Did not proceed to this round.
Round 5 - HR Interview:
Questions Asked: [Details not provided]
Your Approach: [Details not provided]
Outcome: Did not proceed to this round.
Preparation Tips:
Practice coding problems on platforms like HackerRank, focusing on all difficulty levels.
Work on explaining your thought process clearly, as communication is key in pair coding rounds.
Revise database design and schema modeling concepts, especially if applying for a software engineering role.
Conclusion:
Overall, the interview process was well-structured and challenging. The interviewers were supportive, but I realized I could have prepared better for the technical rounds, especially database-related questions. For future candidates, I’d recommend thorough preparation in coding, system design, and clear communication.
Application Process: I applied through my college campus selection. There were 150 applicants in the first round, 20 were shortlisted for the second round, and 10 made it to the third round. The interview panel consisted of 6 people, most of whom were very relaxed except for one interviewer.
Interview Rounds:
Round 1 - Technical Screening:
Questions Asked: The questions were primarily focused on data structures, algorithms, and problem-solving. Some specific topics included graph traversal, dynamic programming, and system design basics.
Your Approach: I practiced extensively on coding platforms and reviewed core CS concepts beforehand. During the interview, I made sure to explain my thought process clearly before jumping into coding.
Outcome: I was among the 20 candidates shortlisted for the next round.
Round 2 - Technical Deep Dive:
Questions Asked: This round involved more complex algorithmic problems and a deeper dive into system design. Questions like “Design a scalable URL shortening service” and “Optimize a given database query” were asked.
Your Approach: I focused on breaking down the problems into smaller components and discussed trade-offs for each design decision. I also emphasized scalability and efficiency.
Outcome: I advanced to the final round, where only 10 candidates remained.
Round 3 - Behavioral and Panel Interview:
Questions Asked: This round was a mix of behavioral questions (e.g., “Tell me about a time you faced a challenge in a team project”) and technical questions from the panel. The stricter interviewer grilled me on my past projects and asked for detailed explanations.
Your Approach: I prepared by reviewing my resume thoroughly and practicing the STAR method for behavioral questions. For technical questions, I stayed calm and answered as clearly as possible.
Outcome: The panel seemed satisfied with my responses, and I received positive feedback.
Preparation Tips:
Focus on mastering data structures and algorithms, as they form the core of the technical rounds.
Practice explaining your thought process aloud while solving problems.
Review system design principles and be ready to discuss trade-offs.
Prepare for behavioral questions using the STAR method to structure your answers.
Conclusion:
Overall, the interview process was rigorous but fair. The panel was professional, and the questions were challenging but manageable with proper preparation. If I could do anything differently, I would spend more time on system design scenarios. My advice to future candidates is to stay calm, think aloud, and practice consistently.
Application Process: Applied online, followed by a coding challenge and subsequent phone interviews.
Interview Rounds:
Round 1 - Coding Challenge:
Questions Asked: Coding challenge with problem-solving tasks.
Your Approach: Focused on writing clean, efficient code and ensuring the solution was optimal.
Outcome: Passed the round and proceeded to the next stage.
Round 2 - Phone Interview (Behavioral):
Questions Asked: Behavioral questions about my experience and thought process during the coding challenge.
Your Approach: Prepared by reflecting on past projects and how they aligned with the role. Walked the interviewer through my code and explained my reasoning.
Outcome: Successfully advanced to the next round.
Round 3 - Phone Interview (Technical):
Questions Asked: Further discussion about my coding challenge solution and additional technical questions.
Your Approach: Clarified my thought process and addressed any feedback or questions the interviewer had.
Outcome: Awaiting final results.
Preparation Tips:
Practice coding challenges on platforms like LeetCode or HackerRank.
Review behavioral questions and prepare concise, relevant examples from past experiences.
Be ready to explain your code clearly and justify your decisions.
Conclusion:
The interview process was smooth and well-structured. The coding challenge was a good test of problem-solving skills, and the behavioral rounds were conversational. I would recommend practicing coding under time constraints and being prepared to discuss your thought process in detail.
Application Process: Applied online and received a coding challenge on HackerRank with 3 questions. The challenge had a noticeable emphasis on geometrical-type problems.
Interview Rounds:
Round 1 - Coding Challenge:
Questions Asked: 3 geometrical-type coding problems on HackerRank.
Your Approach: Focused on solving the problems efficiently, leveraging knowledge of geometry and algorithms.
Outcome: Performance was good, especially for those comfortable with geometrical challenges.
Preparation Tips:
Brush up on geometrical algorithms and problem-solving techniques.
Practice coding challenges with a focus on geometry to build confidence.
Conclusion:
The coding challenge was straightforward if you’re well-prepared for geometrical problems. Practicing similar questions beforehand would be highly beneficial for future candidates.
Application Process: I applied via Naukri.com and was interviewed in February 2024.
Interview Rounds:
Round 1 - Technical Round:
Questions Asked: Problem-solving using JavaScript, asynchronous JavaScript, CSS, and Angular.
Your Approach: I focused on explaining my thought process clearly while solving the problem, ensuring I covered all edge cases and optimized the solution.
Outcome: Passed this round.
Round 2 - Technical Round:
Questions Asked: Design a UI for an application.
Your Approach: I started by understanding the requirements, sketched a wireframe, and then discussed the design choices, including responsiveness and user experience.
Outcome: Passed this round.
Round 3 - HR Round:
Questions Asked: Scenario-based questions.
Your Approach: I answered honestly, providing examples from past experiences to demonstrate my problem-solving and teamwork skills.
Outcome: Passed this round.
Preparation Tips:
Brush up on core JavaScript concepts, especially asynchronous programming.
Practice designing UIs and be ready to justify your design decisions.
Prepare for behavioral questions by reflecting on past experiences.
Conclusion:
Overall, the interview process was smooth, and the interviewers were supportive. I felt well-prepared, but I could have practiced more on Angular-specific questions. My advice to future candidates is to focus on problem-solving and clear communication during technical rounds.
Application Process: I applied online. A week later, I received an interview request with one of the engineers working at the company.
Interview Rounds:
Round 1 - Technical Interview:
Questions Asked:
Questions about my previous experience and areas of interest.
A coding question (described as not too hard).
Your Approach:
I discussed my past projects and interests in detail.
For the coding question, I took a structured approach, breaking it down into smaller steps.
Outcome:
The interview went well, and I felt confident about my responses.
Preparation Tips:
Brush up on your past projects and be ready to discuss them in detail.
Practice coding problems, even if they seem simple, to ensure clarity and efficiency in your solutions.
Conclusion:
Overall, the interview was a positive experience. The questions were fair, and the interviewer was friendly. I would advise future candidates to be thorough in explaining their thought process and to stay calm during the interview.
Application Process: Applied via the company website and was interviewed in May 2022.
Interview Rounds:
Round 1 - Resume Shortlist:
Outcome: Resume was shortlisted for further rounds.
Round 2 - Aptitude Test:
Questions Asked:
Quantitative ability, logical ability, and language MCQs.
Technical MCQs on DBMS, OS, Networks, and DSA.
Two coding questions: one on Bit Manipulation and the other on DFS.
Outcome: Cleared the test.
Round 3 - One-on-one Round:
Questions Asked:
A question on BFS very similar to Leetcode 924.
Your Approach: Discussed and arrived at an optimized solution with the interviewer within the given one hour.
Outcome: Advanced to the next round.
Round 4 - Technical Round:
Questions Asked:
Search an element in a sorted and rotated array.
SQL query on left join.
Questions on C++ memory management.
Questions related to projects done.
Outcome: Progressed to the next stage.
Round 5 - Technical Round:
Questions Asked:
Propose a system for a popular media stream service.
Questions related to Fullstack Tech Stacks.
Outcome: Moved forward in the process.
Round 6 - Case Study Round:
Questions Asked:
Guesstimate on the number of Reddit users in India.
Your Approach: Used a bottom-to-top approach, focusing on quantifying teenagers with internet access and specific interests. Estimated around ~1 million users annually.
Outcome: Cleared the round.
Round 7 - HR Round:
Questions Asked:
“Where do you see yourself at McKinsey?”
Outcome: Final outcome pending.
Preparation Tips:
Topics to prepare: DSA, DBMS, Web Development.
Show leadership potential and be honest in your responses.
For software profiles, preparation is similar to other companies, but McKinsey is highly selective.
Conclusion:
The interview process was rigorous but a great learning experience. The key was to stay calm and think logically. For future candidates, focus on problem-solving and system design, and always be prepared to justify your answers.
Application Process: Applied through the company’s career portal.
Interview Rounds:
Round 1 - Coding Round:
Questions Asked: 3 coding questions.
Your Approach: Focused on solving the problems efficiently, ensuring optimal time and space complexity.
Outcome: Passed to the next round.
Round 2 - Code Pairing Round:
Questions Asked: 1 coding question where I had to explain the logic before coding.
Your Approach: Explained my thought process clearly and then implemented the solution step-by-step.
Outcome: Advanced to the next stage.
Round 3 - Technical Round 1:
Questions Asked: In-depth technical questions related to algorithms and system design.
Your Approach: Discussed various approaches and trade-offs for the given problems.
Outcome: Successfully cleared the round.
Round 4 - Technical Round 2:
Questions Asked: More advanced technical questions, including real-world problem-solving scenarios.
Your Approach: Used practical examples and past experiences to justify my solutions.
Outcome: Moved forward to the final round.
Round 5 - HR Round:
Questions Asked: Behavioral and situational questions to assess cultural fit.
Your Approach: Answered honestly, aligning my responses with the company’s values.
Outcome: Received positive feedback.
Preparation Tips:
Practiced coding problems on platforms like LeetCode and HackerRank.
Reviewed system design concepts and case studies.
Prepared for behavioral questions by reflecting on past experiences.
Conclusion:
The interview process was thorough but well-structured. I felt prepared for the technical rounds, but the HR round was a good reminder to always be genuine. My advice to future candidates is to focus on both technical and soft skills, as McKinsey values a holistic approach.
Your Approach: Focused on clear communication and problem-solving skills while working with the interviewer.
Outcome: Advanced to the next round.
Round 3 - Personal Interview (Resume & DSA):
Questions Asked: Questions based on my resume and basic knowledge of Data Structures and Algorithms.
Your Approach: Reviewed my resume thoroughly and brushed up on core DSA concepts.
Outcome: Successfully cleared the round.
Round 4 - HR Round:
Questions Asked: General HR questions about my background, interests, and fit for the company.
Your Approach: Answered honestly and confidently, aligning my responses with the company’s values.
Outcome: Received positive feedback.
Preparation Tips:
Practice coding problems on platforms like HackerRank to prepare for the coding rounds.
Review your resume thoroughly and be prepared to discuss any project or experience mentioned.
Brush up on core DSA concepts for the technical interview.
Prepare for HR questions by researching the company’s values and culture.
Conclusion:
The overall interview experience was smooth and well-structured. Practicing coding problems and being thorough with my resume helped me perform well. For future candidates, I’d recommend focusing on problem-solving skills and clear communication during the pairing round, as collaboration is key.
Application Process: Applied through campus placement.
Interview Rounds:
Round 1 - Coding Round:
Questions Asked:
Two observational problems.
One dynamic programming (DP) problem.
Your Approach: Focused on understanding the problem constraints first, then moved to optimize the solution for the DP problem. For the observational problems, I tried to break them down into smaller parts.
Outcome: Cleared the round.
Round 2 - Code Pairing Round:
Questions Asked: A coding problem to solve collaboratively with a McKinsey Digital employee.
Your Approach: Communicated clearly and divided the problem into manageable parts, ensuring both of us contributed equally.
Outcome: Successfully solved the problem and moved to the next round.
Round 3 - Technical Interview:
Questions Asked:
Database-related questions.
Designing an ER diagram.
Your Approach: Explained the concepts clearly and walked through the ER diagram design step-by-step.
Outcome: Performed well and advanced to the HR round.
Round 4 - HR Interview:
Questions Asked: General HR questions about my background, motivation, and fit for the role.
Your Approach: Answered honestly and aligned my responses with the company’s values.
Outcome: Received positive feedback.
Preparation Tips:
Practice coding problems, especially DP and observational ones.
Brush up on database concepts and ER diagram design.
Work on communication skills for collaborative rounds.
Conclusion:
The interview process was thorough but well-structured. Collaborating in the code pairing round was a unique experience. I could have prepared more for the database questions, but overall, it was a great learning opportunity. For future candidates, focus on problem-solving and clear communication.
Application Process: Applied online through the company’s career portal. The first step was a HackerRank challenge.
Interview Rounds:
Round 1 - HackerRank Challenge:
Questions Asked:
Coding Question: A problem requiring algorithmic thinking and implementation.
SQL Query: A query to extract specific data from a given database schema.
HTTP GET Request Code: A task to write code for making an HTTP GET request to an API endpoint.
Short Email Writing: A scenario-based question to draft a professional email.
Your Approach:
For the coding question, I started by understanding the problem statement thoroughly and then broke it down into smaller sub-problems. I used pseudocode before writing the actual code to ensure clarity.
The SQL query required knowledge of joins and aggregations, so I reviewed these concepts beforehand.
For the HTTP GET request, I recalled the basics of REST APIs and used Python’s requests library.
The email writing was straightforward; I focused on clarity, brevity, and professionalism.
Outcome: Cleared the round and moved to the next stage of the interview process.
Preparation Tips:
Coding: Practice algorithmic problems on platforms like LeetCode or HackerRank. Focus on time complexity and edge cases.
SQL: Brush up on joins, subqueries, and aggregations.
HTTP Requests: Understand how REST APIs work and practice making requests in your preferred programming language.
Communication: For email writing, practice drafting concise and professional emails for various scenarios.
Conclusion:
The HackerRank challenge was a good test of both technical and communication skills. Time management was crucial, so I recommend practicing under timed conditions. Overall, the experience was smooth, and I felt well-prepared thanks to consistent practice.
Application Process:
I was invited to participate in the interview process, which was conducted in Portuguese for the interviews and in English for the HR communications. The process was thorough and evaluated not just my professional experience but also my life and career journey.
Interview Rounds:
Round 1 - Initial Screening:
Questions Asked: General questions about my background, career aspirations, and why I wanted to join McKinsey.
Your Approach: I focused on aligning my personal and professional goals with the company’s values and mission.
Outcome: Passed to the next round.
Round 2 - Behavioral Interview:
Questions Asked: Questions about my past experiences, challenges I faced, and how I overcame them.
Your Approach: I used the STAR method to structure my answers, ensuring clarity and relevance.
Outcome: Advanced to the next stage.
Round 3 - Case Study Interview:
Questions Asked: A case study to assess problem-solving skills and technical knowledge.
Your Approach: I broke down the problem systematically and communicated my thought process clearly.
Outcome: Moved forward in the process.
Round 4 - Technical Interview:
Questions Asked: More in-depth technical questions related to software engineering.
Your Approach: I demonstrated my technical expertise and linked it to real-world applications.
Outcome: Progressed to the final round.
Round 5 - Final Interview:
Questions Asked: A mix of behavioral, technical, and situational questions.
Your Approach: I remained authentic and focused on showcasing my fit for the role and company culture.
Outcome: Although I didn’t get the offer (they were looking for a more technical profile), I received positive feedback and was added to their talent pool.
Conclusion:
This was the best interview process I’ve ever participated in. The communication was clear, the interviewers were respectful, and the process was holistic. While I wasn’t selected due to a mismatch in the technical profile they were seeking, I’m grateful for the experience and the feedback. For future candidates, I’d advise being authentic and thoroughly preparing for both technical and behavioral aspects. Also, consider personal circumstances, as relocating wasn’t an option for me at the time.