Code Walkthrough & Collaborative PR Review
This stage replaces traditional algorithmic whiteboard testing with a highly practical evaluation of your day-to-day engineering skills. You will either walk through a production-ready project you have previously built or collaborate with Splice engineers to review a simulated Pull Request.
The goal is to understand how you write, analyze, and discuss code. Interviewers want to see how you evaluate code quality, identify edge cases, and discuss architectural trade-offs.
Be ready to go over:
- Code Readability and Standards – Spotting code smells, ensuring idiomatic language patterns, and organizing code logically.
- Testing Strategies – Evaluating if a change is adequately tested and identifying missing unit or integration tests.
- Performance and Safety – Identifying potential concurrency issues, memory leaks, or inefficient database queries in the code.
- Advanced concepts (less common) – Bullet list:
- Idiomatic concurrency patterns in Go (such as goroutines and channels).
- Advanced state management and rendering optimizations in frontend frameworks.
Example questions or scenarios:
- "Let's look at this Pull Request together. What feedback would you leave for the author regarding readability, security, and performance?"
- "Walk me through this specific module of your past project. Why did you choose this design pattern, and how would you refactor it if you had to scale it 10x?"
System Design & Scalability
The system design interview assesses your ability to architect scalable, reliable, and maintainable systems. At Splice, this often revolves around handling large media assets, real-time data synchronization, and high-throughput metadata searches.
The focus is on your thought process, communication, and how you handle progressively difficult constraints. There is no single "correct" answer; instead, the emphasis is on how you justify your architectural choices.
Be ready to go over:
- Data Modeling and Storage – Choosing between SQL and NoSQL databases and designing efficient schemas for complex metadata.
- Caching and Content Delivery – Utilizing CDNs and caching layers (like Redis) to deliver media assets globally with minimal latency.
- API Design – Designing clean, intuitive RESTful or gRPC APIs that support real-time communication and efficient payload delivery.
- Advanced concepts (less common) – Bullet list:
- Event-driven architectures using message brokers like Kafka or RabbitMQ.
- Strategies for zero-downtime database migrations on high-volume tables.
Example questions or scenarios:
- "Design a system that allows millions of users to search, preview, and download audio samples instantly."
- "How would you architect a backend service to synchronize local desktop DAW states with our cloud platform, ensuring conflict resolution when offline changes occur?"
Behavioral & Culture Fit
Splice places an exceptionally high value on cultural alignment and collaborative skills. This stage evaluates how you handle feedback, navigate ambiguity, and work with cross-functional partners like product managers and designers.