Demo

Java (Backend / Enterprise Focus) Developer with State/Federal experience

Triwave Solutions Inc
Reston, VA Contractor
POSTED ON 7/9/2026
AVAILABLE BEFORE 8/8/2026

Please make sure you are very family with Angular, Spring Boot, Spring Batch and Kafka topics

See below for a guide

Angular: Lifecycle Hooks, Pipes, Directives, Data binding

Java Interview Prep (Backend / Enterprise Focus)

Application Scale & Performance

  • What is the transaction volume of your application? (requests/sec, peak load)
  • How do you handle high concurrency?
  • How do you optimize performance (caching, async processing, connection pools)?

Failure Handling & Reliability

  • How do you handle failures in your application?
  • What retry mechanisms do you use?
  • Retry count, backoff strategy (exponential backoff)
  • Have you used a Dead Letter Queue (DLQ)?
  • When do messages go there?
  • How are DLQ messages monitored and reprocessed?

Tools & Frameworks

  • What frameworks/tools do you use?
  • Spring Boot, Spring Retry, Resilience4j, Hystrix (legacy), etc.
  • How do you monitor and log issues?
  • Logs, metrics, alerts

JVM & Runtime

  • Common JVM issues you ve faced
  • Memory leaks, pauses, OutOfMemoryError
  • How do you troubleshoot JVM issues?
  • Heap dumps, logs, thread dumps

Security & Authorization

  • How do you authorize a user on the UI side?
  • JWT tokens, session-based auth, OAuth
  • How does UI authorization connect to backend authorization?
  • How do you design application security end-to-end?
  • Authentication vs authorization
  • Role-based access control (RBAC)
  • Securing APIs

Kafka Interview Prep

Core Concepts

  • Explain Producer, Consumer, and Topic
  • What is a consumer group and why is it important?
  • What is a partition and how does it affect performance?

Authentication & Authorization

  • How does Kafka handle authentication?
  • SSL, SASL
  • How do you authorize producers and consumers?
  • ACLs (who can publish/consume)

Kafka Operations

  • How do you create topics?
  • Partitions, replication factor
  • How do you create a producer?
  • How do you configure a consumer?

Message Flow & Behavior

  • If a producer publishes a message, what happens internally?
  • What happens if the consumer is not running?
  • What happens if the consumer fails while processing a message?
  • Offset commits
  • At-least-once vs exactly-once semantics

Error Handling

  • How do you handle exceptions in Kafka consumers?
  • What happens when message processing fails?
  • How do you use retries and Dead Letter Topics in Kafka?

Reliability & Guarantees

  • How does Kafka ensure durability?
  • How does replication work?
  • What happens if a broker goes down?

Kafka vs Other Messaging Systems

  • What makes Kafka different from RabbitMQ / ActiveMQ?
  • Pull-based model
  • High throughput
  • Message retention
  • Replayability

Scaling & Design (Scenario-Based)

  • How do you scale Kafka?
  • Increase partitions
  • Add brokers
  • How do partitions help with parallel processing?
  • How do you design Kafka for high throughput and fault tolerance?

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