Research Scientist 4 - Globalization

Netflix

You are given an array of time intervals (start, end) for meetings. Merge the overlapping intervals and return an array of non-overlapping intervals representing the consolidated meeting times. For example: Given the intervals [[1,3],[2,6],[8,10],[15,18]], the expected output is [[1,6],[8,10],[15,18]]. The intervals [1,3] and [2,6] overlap and are merged into [1,6]. Given the intervals [[1,4],[4,5]], the expected output is [[1,5]]. The intervals [1,4] and [4,5] overlap and are merged into [1,5]. Given the intervals [[1,4],[0,4]], the expected output is [[0,4]]. The intervals [1,4] and [0,4] overlap and are merged into [0,4]. Given the intervals [[1,4],[0,2],[3,5]], the expected output is [[0,5]]. The intervals [1,4] and [0,2] overlap and are merged into [0,4]. Then [0,4] and [3,5] are merged into [0,5]. Explain your approach. Write a function that takes a list of intervals and returns a list of merged intervals. What is the time and space complexity of your solution?

Netflix

High-Level Design for Zero-Downtime Live Production Systems Imagine you're tasked with designing a live production system that requires zero downtime during deployments and updates. This system handles a large volume of requests and is critical to the business. Let's consider a scenario: Scenario: You are building a service that provides real-time stock quotes to users. The service needs to be highly available and scalable to handle peak loads. Deployments must not interrupt the service, ensuring users always receive the latest data. Questions to address in your design: High-Level Architecture: Describe the overall architecture of the system. Include key components, their responsibilities, and how they interact. Deployment Strategy: Detail the deployment strategy you would use to achieve zero downtime. Explain the steps involved in deploying new versions of the service. Load Balancing: How would you distribute traffic across different instances of the service to ensure high availability and prevent overload? Monitoring and Rollback: What monitoring tools and metrics would you use to detect issues during deployment? Describe the rollback strategy in case of a failed deployment. Data Consistency: How would you ensure data consistency across different instances of the service during updates? Scaling: How would you scale the system horizontally to handle increased traffic? Explain each of these areas with consideration to both the design and the practical steps required for running such a system in live production. Consider specific technologies and tools where appropriate to illustrate your understanding. This question aims to assess your understanding of designing and operating highly available systems, your knowledge of deployment strategies, and your ability to handle real-world challenges in a production environment.

Netflix

Tell me about the most challenging product you've ever worked on. To fully explain the challenges, please address the following points: Describe the product: What was its purpose? Who was the target audience? What key features did it have? Explain the challenges: What specific technical or non-technical hurdles did you face during its development or maintenance? For example, did you struggle with scalability, performance, security, ambiguous requirements, tight deadlines, or limited resources? Be specific. Discuss your role: What were your responsibilities within the team? How did your skills and experience contribute to overcoming these challenges? Explain the solutions: What strategies or techniques did you employ to address these challenges? Did you have to learn new technologies, implement innovative solutions, or collaborate with other teams to succeed? Provide concrete examples. Describe the outcome: What was the result of your efforts? Did you successfully overcome the challenges? What impact did the product have on the users or the business? What lessons did you learn from this experience? For instance, imagine you were developing a real-time data analytics platform for a financial institution. A significant challenge was processing and analyzing massive volumes of data with low latency. You might discuss how you implemented distributed computing techniques, optimized database queries, and worked with data scientists to develop efficient algorithms. Or perhaps you were building a mobile app for a healthcare provider, and you struggled with ensuring patient data privacy and security. You could explain how you implemented end-to-end encryption, followed strict security protocols, and conducted thorough security audits. Or maybe you were tasked with modernizing a legacy system, and you encountered compatibility issues and resistance to change. You could describe how you carefully planned the migration process, communicated the benefits of the new system to stakeholders, and provided training to users.