Hirenkumar Patel

Being a 19+ year of work experience in Java development and architect with expertise in Spring Boot, microservices, and Liferay, Python is a popular programming language widely used in the field of machine learning, deep learning, data science.

1. Java Development: Having a strong understanding of core Java concepts, object-oriented programming (OOP), and Java frameworks and libraries commonly used in web development.

2. Spring Boot: Spring Boot is a popular Java framework for building stand-alone, production-grade Spring-based applications. Master the fundamentals of Spring Boot, including dependency injection, data access to Spring Data, building RESTful APIs with Spring MVC, and managing application configuration.

3. Microservices Architecture: Microservices architecture is a software development approach that structures an application as a collection of small, independent services. Service autonomy, scalability, and fault tolerance. Gain expertise in designing, developing, and deploying microservices using Spring Boot and related technologies.

4. Liferay Portal Development: Liferay is an open-source platform for building enterprise portals and websites. Experience with Liferay's architecture, concepts, and APIs. Develop skills in creating portlets, themes, layouts, and extensions for Liferay using Java and related technologies.

5. Integration and APIs: Microservices often require integration with other services and systems. Design and implement APIs using RESTful principles. Technologies like API gateways, service discovery, and event-driven architectures. Expertise with tools and frameworks for building scalable and resilient integrations, such as Spring Cloud and Apache Kafka.

6. Containerization and Orchestration: Containerization with Docker and orchestration with Kubernetes have become prevalent in the modern application deployment.

7. Architectural Design and Best Practices: As an architect, designing scalable, maintainable, and efficient systems. Knowledge of architectural patterns, design principles, and best practices. Aspects like performance optimization, fault tolerance, security, and scalability when designing solutions.

8. Continuous Integration and Deployment: Continuous integration and deployment (CI/CD) practices. Used tools like Jenkins, GitLab CI/CD, or Travis CI to automate build, testing, and deployment processes.

9. Security and Authentication: Security is crucial for any application. Authentication, and authorization mechanisms. Understand concepts like OAuth, JSON Web Tokens (JWT), and SSL/TLS encryption.