Java Mastery & Tech Leadership

1. Core Java

1.1. Object-Oriented Programming (OOP Principles)

1.2. Collections Framework (List, Set, Map, Queue)

1.3. Exception Handling (Checked and Unchecked)

1.4. Java I/O and NIO (Streams, Channels, Buffers)

1.5. Generics (Wildcards, Type Erasure)

1.6. Annotations and Reflection

1.7. Functional Programming (Lambdas, Streams API, Optional)

2. JVM Internals

2.1. Java Memory Model (Heap, Stack, Metaspace)

2.2. Garbage Collection (G1, ZGC, CMS)

2.3. Classloading and Classloaders

2.4. JIT Compilation and JVM Optimization

2.5. Profiling Tools (VisualVM, JFR, JConsole)

2.6. JVM Tuning Parameters

3. Distributed Systems

3.1. Distributed Consensus (Paxos, Raft basics)

3.2. CAP Theorem

3.3. Consistency Models (Eventual, Strong)

3.4. Partitioning Strategies

3.5. Distributed Transactions (Sagas, 2PC, 3PC)

3.6. Service Discovery (Eureka, Consul)

3.7. Leader Election, Heartbeats

4. Cloud & DevOps Basics

4.1. Cloud Fundamentals (AWS, GCP, Azure Basics)

4.2. Containers and Docker

4.3. Kubernetes Concepts (Pods, Services, Deployments)

4.4. CI/CD Pipelines (Jenkins, GitHub Actions)

4.5. Infrastructure as Code (Terraform, Pulumi Basics)

4.6. Monitoring and Observability (Prometheus, Grafana, ELK)

5. Concurrency and Async

5.1. Threads and Runnable Basics

5.2. Thread Pools and ExecutorService

5.3. CompletableFuture and Future

5.4. Synchronization (Locks, Semaphores)

5.5. ForkJoinPool and Parallelism

5.6. Atomic Classes (AtomicInteger, etc.)

5.7. Deadlocks, Starvation, Livelocks

5.8. Reactive Programming Basics (RxJava, Project Reactor)

6. System Design

6.1. High-Level Architecture (Monoliths, Microservices)

6.2. Scalability Concepts (Vertical and Horizontal Scaling)

6.3. Load Balancing Strategies (Round-robin, Sticky Sessions)

6.4. Caching (Redis, CDN, In-memory)

6.5. Databases (SQL vs NoSQL, Sharding, Replication)

6.6. API Design (REST, gRPC, GraphQL basics)

6.7. Rate Limiting, Throttling, Circuit Breakers

6.8. Event-Driven Architecture (Kafka, RabbitMQ)

7. Leadership and People Skills

7.1. Mentoring Developers (Code Reviews, Pair Programming)

7.2. Conflict Resolution (Technical and Personal)

7.3. Prioritization and Decision Making

7.4. Delegation and Trust Building

7.5. Running Effective Meetings

7.6. Goal Setting and Feedback Loops

7.7. Managing Up (Stakeholder Communication)

8. Security and Best Practices

8.1. Authentication vs Authorization (OAuth2, OpenID Connect)

8.2. Encryption (At rest and in transit)

8.3. Secure Coding Practices (Input Validation, Injection Prevention)

8.4. API Security (Rate Limiting, OAuth)

8.5. Secure Storage (Vault, AWS Secrets Manager)

8.6. Auditing and Logging