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

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?