At Veho, a Software Engineer does not just write code; they build the digital backbone of a modern, tech-enabled logistics platform. Veho is redefining the last-mile delivery experience by combining cutting-edge technology with an asset-light driver marketplace and highly efficient warehouse operations. As a engineer here, your work directly impacts the real-time routing engines, driver mobile applications, and warehouse management systems that ensure packages are delivered on time, every time.

The engineering team at Veho solves complex, high-scale physical and digital challenges. You will work on distributed systems that process massive amounts of location, routing, and inventory data. Whether you are optimizing a machine learning model for route efficiency, scaling an event-driven microservices architecture on AWS, or improving the user experience for independent delivery drivers, your contributions will have a visible and immediate impact on the company’s operational efficiency and customer satisfaction.

This role requires a unique blend of deep technical expertise, operational empathy, and a passion for solving real-world logistics problems. Veho values engineers who are collaborative, highly analytical, and capable of navigating ambiguity in a fast-growing startup environment. If you thrive on seeing your code orchestrate real-world actions—like a driver successfully delivering a package to a customer's doorstep—this position offers an incredibly rewarding and challenging career path.

To help you prepare effectively, we have compiled a list of representative interview questions based on real candidate experiences at Veho. These questions are grouped into key thematic categories to help you identify patterns and structure your preparation.

Coding & Problem Solving

These questions evaluate your algorithmic thinking, data structure knowledge, and ability to write clean, executable code under time constraints.

• Implement an algorithm to optimize a delivery driver's route given a list of stops and time windows.
• Design a parser that processes nested JSON payloads containing package tracking data and extracts specific status updates.

Preparing for an interview at Veho requires a balanced approach that covers technical mastery, architectural thinking, and cultural alignment. You should approach your preparation not as a memorization exercise, but as an opportunity to demonstrate how you solve complex, ambiguous problems in a collaborative environment.

To stand out, focus on demonstrating strength across these key evaluation criteria:

Technical Proficiency – You must show a deep understanding of core software engineering principles, including data structures, algorithms, and clean code practices. Be prepared to write clean, readable, and efficient code in your preferred language, while keeping TypeScript and Node.js patterns in mind if that is your target stack.

System Design & Scalability – You will be evaluated on your ability to design robust, distributed systems. Focus on demonstrating how you handle common distributed systems challenges, such as data consistency, high availability, rate limiting, and event-driven architectures using AWS services.

Operational Empathy & Problem Solving – Veho operates at the intersection of software and physical logistics. Candidates who show an understanding of how their technical decisions affect real-world operations—such as warehouse workers and independent drivers—will perform exceptionally well.

Cultural Alignment & Values – Veho looks for engineers who are humble, collaborative, and highly communicative. Be ready to discuss how you navigate team dynamics, handle feedback, and align your technical work with broader business objectives.

The interview process at Veho is structured to evaluate your technical capabilities, architectural thinking, and cultural fit through a series of progressive stages. Candidates generally find the process to be rigorous but highly collaborative, with prompt communication from the recruiting team.

The journey begins with an initial recruiter phone screen, focusing on your background, career aspirations, and high-level alignment with Veho's mission. Following a successful screen, you will move to a technical assessment. This technical screen is typically conducted either through a third-party platform like Karat or as a hands-on coding challenge via CoderPad or CodingGame, focusing on core algorithmic problem-solving and basic system design concepts.

If you pass the technical screen, you will progress to the final round panel interview. This comprehensive loop is designed to simulate a typical day as a Software Engineer at Veho and consists of multiple focused sessions.

The timeline above outlines the standard progression from your initial application to the final offer decision. You should use this visual roadmap to pace your preparation, ensuring you allocate sufficient time to practice both coding and system design before advancing to the final loop. While the exact duration can vary based on team and candidate availability, the entire process is typically completed within three to four weeks.

To excel in the Veho interview loop, you must understand exactly what is expected of you in each core technical evaluation area.

Coding & Debugging

The coding and debugging rounds are designed to test your hands-on implementation skills. Interviewers want to see how you translate logical requirements into clean, production-grade code.

Be ready to go over:

• Asynchronous Programming – Handling concurrent operations, promises, and event loops, particularly in Node.js environments.
• Data Manipulation – Filtering, transforming, and aggregating complex nested data structures efficiently.
• Error Handling & Edge Cases – Writing resilient code that gracefully handles unexpected inputs, network timeouts, or malformed payloads.
• Testing & Maintainability – Structuring your code so that it is modular, easy to read, and straightforward to write unit tests for.

Example scenarios:

• Refactoring a legacy, synchronous data processing script to run asynchronously and handle API rate limits.
• Writing a utility function to merge overlapping delivery windows for a driver's schedule.
• Identifying and fixing a memory leak or a race condition in a provided multi-threaded or asynchronous code snippet.

System Design

The system design interview evaluates your ability to build scalable, reliable, and cost-effective cloud architectures. You should focus on trade-offs and practical solutions over purely theoretical designs.