AI Interview Notes Generator
```htmlInterview Preparation: Principal Software Engineer - Test at Meta
Interview Preparation: Principal Software Engineer - Test
Candidate: Choppa Vivek Krishna
Email: Vivekkrishna1993@gmail.com
Phone: +1-2066659665
Current Employer: Amazon
Location: Seattle, Washington, USA
Round 1: Behavioral Interview
1. Describe a time when you proposed an innovative solution at work.
Situation: Our team at Amazon needed a more efficient way to handle UI testing, as the existing process was too manual and time-consuming.
Task: I was tasked with finding a solution to improve the overall UI testing process, ensuring it was more automated and scalable across the organization.
Action: I proposed, convinced, and built Amazon’s first Low Code UI Automation Solution called CUTE. I gathered requirements, built a proof of concept, and demonstrated the benefits to key stakeholders. I presented the solution at DevCons in Dublin and Seattle in 2022.
Result: CUTE was adopted across the organization for UI testing purposes, significantly reducing the time and effort needed for UI automation, and ensuring consistent, high-quality results.
Round 2: Technical Coding Interview
1. Given the head of a singly linked list, reverse the list, and return the reversed list.
class Node: def __init__(self, value): self.value = value self.next = Nonedef reverseLinkedList(head): prev = None curr = head while curr is not None: nextTemp = curr.next curr.next = prev prev = curr curr = nextTemp return prev# Time Complexity: O(n)# Space Complexity: O(1) Round 3: System Design Interview
1. Design a low-latency, scalable test automation framework suitable for a large-scale e-commerce platform like Amazon.
High Level:
Low Level:
- Microservices Architecture: Break down the test automation framework into microservices for scalability and ease of management.
- Distributed Execution: Employ a distributed execution model to enable parallel testing across multiple machines or containers.
- Reporting & Monitoring: Use a centralized logging and monitoring system to track test execution and results in real-time.
- Concurrency Handling: Implement thread-safe mechanisms to manage concurrent test executions.
- CI/CD Integration: Integrate seamlessly with existing CI/CD pipelines to trigger tests automatically on code changes.
- Scalable Data Storage: Use scalable data storage solutions such as NoSQL databases to store test results and logs.
```