Move Software Engineer Interview Guide

Getting ready for a Software Engineer interview at Move? The Move Software Engineer interview process typically spans several question topics and evaluates skills in areas like system design, data structures and algorithms, scalable application development, and stakeholder communication. Interview preparation is especially important for this role at Move, as engineers are expected to build robust solutions for high-volume data environments, collaborate on cross-functional projects, and drive improvements in user experience and technical efficiency.

In preparing for the interview, you should:

• Understand the core skills necessary for Software Engineer positions at Move.
• Gain insights into Move’s Software Engineer interview structure and process.
• Practice real Move Software Engineer interview questions to sharpen your performance.

At Interview Query, we regularly analyze interview experience data shared by candidates. This guide uses that data to provide an overview of the Move Software Engineer interview process, along with sample questions and preparation tips tailored to help you succeed.

Move is a technology company specializing in developing innovative software solutions for real estate professionals and consumers. As a leading player in the real estate technology industry, Move operates platforms and tools that streamline property search, transactions, and client management. The company is committed to enhancing transparency and efficiency within the real estate market through advanced digital products. As a Software Engineer at Move, you will contribute to building scalable applications that empower users to make informed property decisions and drive the digital transformation of real estate services.

As a Software Engineer at Move, you will be responsible for designing, developing, and maintaining scalable software solutions that support the company’s digital products and services. You will collaborate with cross-functional teams, including product managers, designers, and QA engineers, to deliver high-quality features and enhancements aligned with business goals. Key tasks include writing clean, efficient code, participating in code reviews, troubleshooting issues, and contributing to system architecture decisions. This role is integral to ensuring Move’s platforms remain reliable, user-friendly, and innovative, directly supporting the company’s mission to provide seamless digital experiences for its users.

2.1 Stage 1: Application & Resume Review

The process at Move begins with a thorough review of your application and resume, focusing on your experience with core software engineering concepts such as data structures, algorithms, and system design. The hiring team looks for evidence of hands-on experience in building scalable systems, proficiency in languages commonly used at Move, and a track record of delivering robust, maintainable software. To prepare, ensure your resume clearly highlights relevant technical projects, system design experience, and quantifiable outcomes.

2.2 Stage 2: Recruiter Screen

If your application stands out, you’ll be contacted by a recruiter for a 20–30 minute phone conversation. This stage is designed to gauge your motivation for joining Move, your understanding of the company’s mission, and your fit for the software engineering role. Expect to discuss your background, key projects, and why you are interested in Move. Preparation should include a concise narrative of your experience, familiarity with Move’s products, and clarity on your career goals.

2.3 Stage 3: Technical/Case/Skills Round

The technical round typically consists of one or more interviews, either virtual or in-person, where you’ll be asked to solve algorithmic problems, work through coding exercises, and possibly complete a take-home assignment. You may encounter questions involving data structures (linked lists, trees, graphs), algorithms (sorting, searching, shortest path), and practical coding challenges (such as modifying large datasets or implementing a priority queue). System design interviews may require you to architect features like a parking application system or a digital classroom service. Preparation should focus on practicing whiteboard coding, reviewing system design principles, and being ready to discuss trade-offs in scalability, maintainability, and performance.

2.4 Stage 4: Behavioral Interview

This stage assesses your soft skills, collaboration style, and alignment with Move’s values. You’ll be asked to reflect on past experiences—such as overcoming project hurdles, communicating complex technical concepts to non-technical stakeholders, and navigating team dynamics. Be prepared to discuss how you handle feedback, resolve conflicts, and contribute to a positive engineering culture. Use the STAR method (Situation, Task, Action, Result) to structure your responses, and be ready to provide examples that demonstrate adaptability, leadership, and empathy.

2.5 Stage 5: Final/Onsite Round

The final round often consists of a series of in-depth interviews with senior engineers, engineering managers, and cross-functional partners. Expect a mix of technical deep-dives (such as designing data pipelines, optimizing for performance, or improving search functionality), system architecture discussions, and behavioral assessments. You may also be asked to present your approach to technical debt reduction or communicate insights from complex data to a diverse audience. This is your opportunity to demonstrate holistic problem-solving, technical leadership, and your ability to collaborate across disciplines.

2.6 Stage 6: Offer & Negotiation

If you successfully navigate the earlier rounds, you’ll receive an offer from Move. The recruiter will walk you through the compensation package, benefits, and answer any questions about the team or company culture. Be prepared to discuss your expectations and negotiate aspects of the offer as needed. This final stage is typically handled by the recruiter and, in some cases, the hiring manager.

2.7 Average Timeline

The Move Software Engineer interview process typically spans 3–5 weeks from application to offer. Fast-track candidates with highly relevant experience or strong internal referrals may complete the process in as little as two weeks, while the standard pace involves about a week between each stage to accommodate scheduling and feedback loops. Take-home assignments and onsite rounds may add a few extra days depending on candidate and interviewer availability.

Next, let’s break down the types of interview questions you can expect at each stage of the Move Software Engineer process.

3.1. Algorithms & Data Structures

Expect questions that test your core understanding of algorithms and data structures, often with a focus on efficiency and scalability. You’ll need to demonstrate not just the ability to solve problems, but to communicate your reasoning and handle edge cases.

3.1.1 Implementing a priority queue used linked lists.
Explain the logic for maintaining order in a linked list while supporting efficient insertion and removal of highest-priority elements. Discuss time complexity and potential optimizations.

3.1.2 The task is to implement a shortest path algorithm (like Dijkstra's or Bellman-Ford) to find the shortest path from a start node to an end node in a given graph. The graph is represented as a 2D array where each cell represents a node and the value in the cell represents the cost to traverse to that node.
Describe your approach for traversing the graph, handling edge costs, and ensuring optimal path selection. Highlight how you would handle large or sparse graphs.

3.1.3 Search for a value in log(n) over a sorted array that has been shifted.
Lay out your binary search adaptation for rotated arrays, discussing pivot detection and edge case handling.

3.1.4 Create your own algorithm for the popular children's game, "Tower of Hanoi".
Walk through the recursive solution, base case identification, and how you would generalize to n disks.

3.1.5 Given a string, write a function to determine if it is palindrome or not.
Describe your method for checking palindromicity, considering both iterative and recursive approaches, and how to handle case sensitivity or special characters.

3.2. System & Application Design

These questions assess your ability to design robust, scalable systems and applications. Be ready to discuss trade-offs, data flow, and how you’d ensure reliability and maintainability.

3.2.1 Design the system supporting an application for a parking system.
Outline the architecture, database schema, and key modules. Address concurrency, payment integration, and failure handling.

3.2.2 System design for a digital classroom service.
Discuss user roles, real-time communication, data storage, and scalability. Consider security and privacy for student data.

3.2.3 Design a data warehouse for a new online retailer.
Explain your approach to schema design, ETL processes, and supporting analytics queries efficiently.

3.2.4 Design an end-to-end data pipeline to process and serve data for predicting bicycle rental volumes.
Describe the ingestion, transformation, storage, and model serving stages. Discuss monitoring and error handling.

3.3. Data Processing & Quality

Move values engineers who can work with large, messy datasets and maintain high data quality. Expect questions on cleaning, profiling, and organizing data for downstream use.

3.3.1 Describing a real-world data cleaning and organization project
Share your approach to profiling, cleaning, and validating data, including tools and frameworks you use for reproducibility.

3.3.2 Challenges of specific student test score layouts, recommended formatting changes for enhanced analysis, and common issues found in "messy" datasets.
Explain how you’d restructure data for analysis, automate repetitive cleaning, and address common data entry errors.

3.3.3 How would you approach improving the quality of airline data?
Discuss strategies for identifying, quantifying, and prioritizing data quality issues, and how to prevent them in the future.

3.3.4 Ensuring data quality within a complex ETL setup
Describe methods for monitoring ETL pipelines, reconciling source discrepancies, and alerting on failures.

3.4. Product, Metrics & Experimentation

You may be asked to analyze product changes, design experiments, or interpret business metrics. Show your ability to connect technical work to business outcomes.

3.4.1 What kind of analysis would you conduct to recommend changes to the UI?
Describe how you’d map user flows, identify pain points, and use data to prioritize UI improvements.

3.4.2 How would you evaluate whether a 50% rider discount promotion is a good or bad idea? How would you implement it? What metrics would you track?
Lay out your experiment design, key metrics (e.g., conversion, retention), and how you’d measure incremental impact.

3.4.3 How would you find out if an increase in user conversion rates after a new email journey is casual or just part of a wider trend?
Explain how you’d design a controlled experiment or use statistical methods to isolate the effect.

3.4.4 How to model merchant acquisition in a new market?
Discuss your approach to feature selection, modeling, and evaluation, considering both data and market factors.

3.5. Communication & Stakeholder Management

Move expects engineers to collaborate cross-functionally and explain technical concepts clearly. Be prepared to demonstrate how you tailor your communication style for different audiences.

3.5.1 How to present complex data insights with clarity and adaptability tailored to a specific audience
Describe your process for understanding your audience, selecting key takeaways, and using visuals to aid comprehension.

3.5.2 Demystifying data for non-technical users through visualization and clear communication
Share techniques for simplifying technical content and fostering data literacy among stakeholders.

3.5.3 Strategically resolving misaligned expectations with stakeholders for a successful project outcome
Explain your approach to aligning goals, surfacing trade-offs, and maintaining trust through transparent updates.

3.6. Behavioral Questions

3.6.1 Tell me about a time you used data to make a decision.
Describe how you identified a business problem, analyzed relevant data, and influenced the outcome with your recommendation. Share the impact your analysis had on the team or organization.

3.6.2 Describe a challenging data project and how you handled it.
Discuss the technical and organizational hurdles you faced, your problem-solving process, and what you learned from the experience.

3.6.3 How do you handle unclear requirements or ambiguity?
Explain your process for clarifying goals, asking the right questions, and iterating with stakeholders to define a clear solution path.

3.6.4 Tell me about a time you had trouble communicating with stakeholders. How were you able to overcome it?
Share a specific example, how you adapted your communication style, and the steps you took to ensure alignment.

3.6.5 Give an example of how you balanced short-term wins with long-term data integrity when pressured to ship a dashboard quickly.
Describe your prioritization strategy, how you communicated trade-offs, and ensured quality while meeting deadlines.

3.6.6 Tell me about a situation where you had to influence stakeholders without formal authority to adopt a data-driven recommendation.
Highlight your persuasion skills, use of evidence, and how you built consensus across teams.

3.6.7 Describe a time you delivered critical insights even though a significant portion of the dataset had nulls. What analytical trade-offs did you make?
Discuss your approach to handling missing data, how you communicated uncertainty, and the business impact of your findings.

3.6.8 How do you prioritize multiple deadlines? Additionally, how do you stay organized when you have multiple deadlines?
Share your time management techniques, use of tools, and how you communicate priorities with your team.

3.6.9 Tell me about a project where you had to make a tradeoff between speed and accuracy.
Explain the context, how you weighed the options, and the decision you ultimately made.

3.6.10 Describe a situation where you relied on an engineering team that was overloaded—how did you manage the dependency?
Discuss your approach to cross-team collaboration, setting expectations, and finding creative solutions to keep the project moving.

4.1 Company-specific tips:

Familiarize yourself with Move’s core products and platforms, including their property search tools and client management solutions. Take time to understand how Move leverages technology to streamline real estate transactions and improve user experience for both professionals and consumers. This will enable you to contextualize your technical answers and demonstrate genuine interest in the business.

Research recent initiatives and technical advancements at Move, such as new features, integrations, or data-driven services. Be prepared to discuss how your skills can contribute to Move’s mission of enhancing transparency and efficiency in real estate through innovative software.

Demonstrate an understanding of the real estate industry’s unique challenges, such as data privacy, scalability for high-volume property searches, and integration with third-party services. Relating your experience to these industry-specific needs will help you stand out as a candidate who can hit the ground running.

4.2 Role-specific tips:

Master data structures and algorithms, especially those relevant to high-volume, real-world applications.
Practice implementing and optimizing core algorithms such as shortest path (Dijkstra’s, Bellman-Ford), binary search in rotated arrays, and recursive solutions like Tower of Hanoi. Be ready to discuss time and space complexity, edge cases, and how your choices impact scalability and reliability in Move’s platforms.

Sharpen your system design skills with a focus on scalable, fault-tolerant architectures.
Prepare to design systems like parking applications or digital classroom services, outlining key components such as database schemas, concurrency handling, and failure recovery strategies. Explain trade-offs between scalability, maintainability, and performance—especially in the context of Move’s data-intensive environment.

Demonstrate proficiency in data processing and quality assurance for large, messy datasets.
Be ready to share examples of real-world data cleaning projects, your approach to profiling and validating data, and strategies for automating repetitive tasks. Highlight your experience with ETL pipelines and your methods for monitoring, reconciling discrepancies, and ensuring high data quality.

Showcase your ability to connect technical solutions to business impact through product metrics and experimentation.
Discuss how you would analyze user journeys, recommend UI changes, and design experiments to evaluate promotions or feature updates. Be prepared to identify key metrics, measure incremental impact, and distinguish between causal and correlative trends in user behavior.

Highlight your communication and stakeholder management skills.
Prepare to describe how you tailor technical explanations for non-technical audiences, use data visualizations to simplify complex insights, and foster cross-functional collaboration. Share examples of resolving misaligned expectations, building consensus, and maintaining transparency throughout project lifecycles.

Practice behavioral storytelling using the STAR method.
Reflect on experiences where you handled ambiguous requirements, managed competing deadlines, or influenced stakeholders without formal authority. Structure your responses to clearly convey the situation, task, actions you took, and the results achieved—demonstrating adaptability, leadership, and a commitment to Move’s values.

Prepare for technical deep-dives and code reviews.
Expect to walk through code you’ve written, explain your design decisions, and respond to feedback from senior engineers. Be ready to discuss how you ensure code quality, troubleshoot issues, and contribute to system architecture decisions that align with Move’s standards for robust, maintainable software.

Demonstrate a holistic approach to problem-solving and technical leadership.
In final rounds, be prepared to present your approach to technical debt reduction, optimizing performance, and communicating complex data insights to diverse audiences. Show that you can collaborate across disciplines and drive improvements that support Move’s mission and business goals.

5.1 How hard is the Move Software Engineer interview?
The Move Software Engineer interview is rigorous and multi-faceted. You’ll be evaluated on your technical mastery—especially in system design, algorithms, and scalable application development—as well as your ability to communicate and collaborate effectively. Move’s emphasis on robust, high-volume data environments and cross-functional teamwork means the interview will challenge both your coding skills and your strategic thinking. Candidates who prepare thoroughly and can connect their experience to real estate technology will find themselves well-positioned to succeed.

5.2 How many interview rounds does Move have for Software Engineer?
Typically, the Move Software Engineer interview process consists of 5 to 6 rounds. You’ll start with an application and resume review, followed by a recruiter screen. Next, you’ll face technical interviews (including coding and system design), a behavioral interview, and a final onsite or virtual round with senior engineers and managers. Each stage is designed to assess different aspects of your technical expertise, problem-solving approach, and cultural fit.

5.3 Does Move ask for take-home assignments for Software Engineer?
Yes, it’s common for Move to include a take-home assignment in the technical round. These assignments usually focus on coding challenges or small system design problems that simulate real scenarios you’d encounter at Move. The goal is to evaluate your practical skills, problem-solving process, and ability to deliver maintainable, efficient solutions.

5.4 What skills are required for the Move Software Engineer?
Key skills for the Move Software Engineer role include strong proficiency in data structures, algorithms, and scalable system design. You’ll need hands-on experience building robust software for high-volume data environments, expertise in at least one major programming language, and a solid understanding of application architecture. Move also values collaboration, clear communication, and the ability to translate technical solutions into business impact—especially in the context of real estate technology.

5.5 How long does the Move Software Engineer hiring process take?
The hiring process at Move typically spans 3 to 5 weeks from application to offer. Fast-track candidates may complete the process in as little as two weeks, while most candidates will experience about a week between each stage to allow for scheduling and feedback. Take-home assignments and onsite interviews may add a few days depending on candidate and interviewer availability.

5.6 What types of questions are asked in the Move Software Engineer interview?
Expect a blend of technical and behavioral questions. Technical questions cover algorithms, data structures, system design (such as parking systems or digital classroom services), and data quality challenges. You’ll also encounter coding exercises, practical application scenarios, and product metrics analysis. Behavioral questions focus on collaboration, communication, stakeholder management, and your approach to ambiguity and prioritization.

5.7 Does Move give feedback after the Software Engineer interview?
Move typically provides feedback through recruiters, especially after final rounds. While detailed technical feedback may be limited, you can expect high-level insights into your performance and areas for improvement. Move values transparency and aims to support candidates in understanding their strengths and next steps.

5.8 What is the acceptance rate for Move Software Engineer applicants?
Move Software Engineer roles are highly competitive, with an estimated acceptance rate of 3–5% for qualified applicants. The company seeks candidates who not only excel technically but also demonstrate a strong understanding of Move’s mission and the unique challenges of real estate technology.

5.9 Does Move hire remote Software Engineer positions?
Yes, Move does offer remote Software Engineer positions. Some roles may require occasional visits to the office for team collaboration, but Move supports flexible work arrangements to attract top engineering talent regardless of location.

• Related guides:
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  • Software Engineer interview guide
  • Top data engineer interview tips

Ready to ace your Move Software Engineer interview? It’s not just about knowing the technical skills—you need to think like a Move Software Engineer, solve problems under pressure, and connect your expertise to real business impact. That’s where Interview Query comes in with company-specific learning paths, mock interviews, and curated question banks tailored toward roles at Move and similar companies.

With resources like the Move Software Engineer Interview Guide and our latest case study practice sets, you’ll get access to real interview questions, detailed walkthroughs, and coaching support designed to boost both your technical skills and domain intuition.

Take the next step—explore more case study questions, try mock interviews, and browse targeted prep materials on Interview Query. Bookmark this guide or share it with peers prepping for similar roles. It could be the difference between applying and offering. You’ve got this!