Software Developer Engineer 2 Interview Questions and Answers

I implemented various optimization techniques such as algorithm improvements, data structure optimizations, and code refactoring.

• Identified bottlenecks in the code through profiling and analysis

• Implemented more efficient algorithms and data structures

• Reduced unnecessary computations and memory usage

• Utilized multithreading and parallel processing where applicable

• Refactored code for better readability and maintainability

I approach designing scalable and maintainable software systems by focusing on modularity, abstraction, automation, and testing.

• Break down the system into smaller, modular components to improve scalability and maintainability.

• Use abstraction to hide implementation details and reduce dependencies between components.

• Automate repetitive tasks such as testing, deployment, and monitoring to ensure consistency and reliability.

• Implement thorough testing strategies, including unit te...read more

Databases store, manage, and retrieve data efficiently using structured formats and query languages.

• Databases use tables to organize data into rows and columns, e.g., a 'Users' table with 'Name' and 'Email' columns.

• SQL (Structured Query Language) is commonly used to interact with relational databases, allowing for data manipulation and retrieval.

• Databases can be relational (e.g., MySQL, PostgreSQL) or non-relational (e.g., MongoDB, Cassandra), each serving different use cases...read more

I have extensive system design experience in developing scalable and efficient software solutions.

• Designed and implemented a microservices architecture for a large e-commerce platform, improving scalability and performance.

• Utilized cloud services such as AWS to design and deploy highly available systems with auto-scaling capabilities.

• Implemented caching mechanisms and load balancing strategies to optimize system performance.

• Worked on database design and optimization to ensure...read more

AWS Lambda is a serverless compute service that runs code in response to events without provisioning servers.

• Event-driven: AWS Lambda executes code in response to triggers like HTTP requests via API Gateway, S3 uploads, or DynamoDB updates.

• Scalability: Automatically scales with the number of requests, handling thousands of concurrent executions without manual intervention.

• Cost-effective: You pay only for the compute time consumed, with no charges when your code isn't running....read more