Focus: Demonstrate your foundational skills with multiple-choice questions on system design, object-oriented programming, and simple algorithms, plus a language-independent coding exercise. Concentrate on how these core concepts are applied in real-world scenarios—depth of understanding matters more than knowing everything.

Focus: This stage is about getting to know you better - no technical questions - just a conversation to understand your background, motivations, career interests, and preferences.

Focus: This interview will assess your understanding of data structures and algorithms, using tasks similar to our team’s real work. You’re welcome to use any programming language you prefer. We’ll use CoderPad for live coding, focusing on how you approach problems and translate ideas into code.

How to Prepare: 

• Plan before coding: clarify requirements, consider edge cases, and outline your approach. 
• Write clean, well-structured code: use meaningful names and follow language best practices. 
• Review computer science fundamentals and basic concepts. 
• Be prepared to talk through your choices and reasoning behind your solution. 

Focus: Problem-solving and core system knowledge. We’re interested in how you understand requirements, explore different solutions, and balance technical trade-offs. Feel free to ask clarifying questions - perfection isn’t the goal! 

How to Prepare: 

• Review concurrency concepts: threads, processes, locks, and synchronization. Understand how to write and reason about concurrent code, as well as common pitfalls like race conditions and deadlocks.  
• Understand parallelism: familiarize yourself with how tasks can be executed in parallel, and the differences between concurrency and parallelism. Consider examples where parallel processing improves performance.  
• Study system constraints: be ready to discuss how system resources - CPU, memory, and I/O - can impact application performance. Think about how to identify and troubleshoot bottlenecks.  
• Practice problem-solving: try coding exercises that involve concurrent or parallel tasks, and review how you optimize code for resource constraints.  
• Be ready to explain: prepare to clearly communicate your thought process and the reasoning behind your solutions, both in code and in discussion 

Focus: Designing and scaling large systems, plus communication and collaboration skills. Think of it as a collaborative conversation - ask questions, share your ideas, and enjoy the discussion!  

How to Prepare:

• Practice designing real-world systems: try sketching out architectures for common backend problems—like designing an API, a messaging system, or a file storage service.
• Understand key components: be familiar with databases (SQL/NoSQL), caching, load balancing, queues, microservices, and APIs. Know when and why to use each.
• Think about bottlenecks: practice identifying and addressing potential performance issues—such as slow database queries, network latency, or high traffic loads.
• Review distributed systems principles: concepts like consistency, partition tolerance, replication, sharding, and eventual consistency are important.
• Communicate your thought process: practice explaining your decisions, trade-offs, and alternative solutions clearly. Interviewers value clear and structured thinking.
• Ask clarifying questions: don’t be afraid to ask for requirements or constraints during the interview. This shows collaboration and real-world problem solving.

Focus: Review of resume, motivations, experience. We’re interested in hearing about the technical challenges you’ve faced in the past and how you approach problem-solving. While some prior knowledge is expected, we’re looking at how you reason, take feedback, and learn from new situations.  Expect a final coding challenge where you’ll work with the hiring manager on a typical day-to-day problem. 

How to Prepare:

• Summarize your journey: prepare a brief overview of your professional experience, your motivations for seeking a new opportunity, and what you hope to find in your next role.
• Highlight key contributions: think of examples where you went above and beyond your standard responsibilities. 
• Review complex projects: reflect on any challenging technical projects from the past few years, focusing on your problem-solving approach and outcomes.
• Revisit the fundamentals: basic and core concepts relevant to your background. Refresh your knowledge of filesystem APIs, systems concepts, hashes and hash functions, basic probability, and optimization techniques.
• Show your adaptability: be open to hints and feedback during the interview and demonstrate how you approach new or unfamiliar problems.