Senior Java Software Developer Interview Questions

5,581 senior java software developer interview questions shared by candidates

Anotaciones de Spring para crear un servicio REST. Cómo funciona Spring para el manejo de inyección de dependencias. Has usado Spring AOP, y si si como funciona y cuál es el propósito de AOP. Varios conceptos teóricos de Java como colecciones, su uso, cuáles se usan en multihilos.
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Analista Programador Java Sr

Interviewed at Globant

3.6
Mar 31, 2021

Anotaciones de Spring para crear un servicio REST. Cómo funciona Spring para el manejo de inyección de dependencias. Has usado Spring AOP, y si si como funciona y cuál es el propósito de AOP. Varios conceptos teóricos de Java como colecciones, su uso, cuáles se usan en multihilos.

Code: Q1. Design and implement a distributed cache system in Java, capable of handling high-throughput read and write requests across multiple nodes. The goal is to ensure data consistency and fault tolerance in case of node failures. Implement the following features: 1. Data Partitioning: Use consistent hashing to distribute data across multiple cache nodes. 2. Fault Tolerance: When a node fails, ensure that its data is redistributed to other nodes without losing information. 3. Read and Write Operations: Provide efficient APIs for put(key, value) and get(key) operations. 4. Concurrency: Ensure thread-safe operations for the cache. 5. Scalability: Allow dynamic addition and removal of nodes without affecting system performance. Constraints: • Implement the solution in a single Java class for simplicity. • Do not use third-party libraries for consistent hashing. Deliverables: • A working Java implementation of the distributed cache. • Explanation of your design decisions, including trade-offs.
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Senior Java Developer

Interviewed at Andersen Lab

4.4
Mar 14, 2025

Code: Q1. Design and implement a distributed cache system in Java, capable of handling high-throughput read and write requests across multiple nodes. The goal is to ensure data consistency and fault tolerance in case of node failures. Implement the following features: 1. Data Partitioning: Use consistent hashing to distribute data across multiple cache nodes. 2. Fault Tolerance: When a node fails, ensure that its data is redistributed to other nodes without losing information. 3. Read and Write Operations: Provide efficient APIs for put(key, value) and get(key) operations. 4. Concurrency: Ensure thread-safe operations for the cache. 5. Scalability: Allow dynamic addition and removal of nodes without affecting system performance. Constraints: • Implement the solution in a single Java class for simplicity. • Do not use third-party libraries for consistent hashing. Deliverables: • A working Java implementation of the distributed cache. • Explanation of your design decisions, including trade-offs.

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