Senior Java Developer

Roles and Responsibilities

• 7+ years of experience in development of enterprise desktop and web applications with backend and frontend responsibilities using Java J2EE technologies (Java 1.6 onwards).
• 7+ years of experience with frontend technologies: object-oriented HTML 5, CSS, JavaScript, and TypeScript.
• 7+ years of experience with frameworks like Spring, Spring Boot, and Spring JPA.
• 7+ years of experience in developing APIs (REST & SOAP protocols).
• 4+ years of experience with relational databases like Oracle, SQL Server, etc.
• 4+ years of experience in application design using design principles, patterns, and best practices.
• 4+ years of experience in Unit Testing Framework (UI and server-side) using technologies like Jasmine, Jest, Karma, Junit, Mockito, Jmock.
• Minimum 7 years of experience in full stack application design and development primarily in Java 8.0/17, Microservices, and ReactJS.
• Expertise with 7 years of experience in Oracle SQL, Spring Boot, Spring JPA, Restful Services, HTML5.0, CSS3, MAVEN/Gradle.
• 4+ years of experience in Microservices development.
• 4+ years of experience with Lean/Agile development methodologies.
• 4+ years of experience with Application Performance monitoring using AppDynamics or any monitoring tool.
• 4+ years of experience in developing applications using cloud platforms (either AWS or Azure).
• 2+ years of experience with non-relational databases like Couchbase.
• 2+ years of experience in creating configuration build and test scripts for Continuous Integration environments (Jenkins, Ant & Maven Tools).
• 2+ years of experience/Knowledge in Integration tools like Informatica, TIBCO, Snaplogic, and Solace - added advantage.

Desired Candidate Profile

Core Java Expertise

• Java SE (Standard Edition): In-depth knowledge of core Java features, including object-oriented programming (OOP), Java collections, exception handling, and Java APIs.
• Concurrency and Multithreading: Expertise in Java concurrency, thread management, synchronization, and parallel programming to build scalable applications.
• Java Memory Management: Understanding of the Java garbage collection mechanism, memory leaks, and optimization techniques to ensure efficient memory use.
• Java 8+ Features: Familiarity with modern Java features such as lambdas, streams, default methods, Optional, and the new Date/Time API.

Software Architecture

• Design Patterns: Deep understanding of common design patterns such as Singleton, Factory, Observer, Decorator, Strategy, and Adapter to create reusable, maintainable, and scalable software.
• Microservices Architecture: Expertise in designing and implementing microservices-based applications using tools like Spring Boot, Spring Cloud, or Quarkus.
• Monolithic vs. Microservices: Ability to decide when to use monolithic architecture or microservices based on business and technical requirements.
• Service-Oriented Architecture (SOA): Knowledge of service-oriented principles, focusing on designing loosely-coupled and reusable services that communicate via well-defined interfaces.
• Event-Driven Architecture: Experience designing systems using asynchronous communication patterns with tools like Kafka, RabbitMQ, or ActiveMQ.

Frameworks and Technologies

• Spring Framework: Expertise in Spring Core, Spring Boot, Spring MVC, Spring Data, and Spring Security.
• Spring Cloud: Experience using Spring Cloud for building distributed systems.
• JEE (Jakarta EE): Knowledge of Java Enterprise Edition (JEE), including technologies such as EJB, JPA, JMS, Servlets, and JSP.
• Hibernate: Proficiency in using Hibernate for Object-Relational Mapping (ORM).
• JAX-RS / RESTful APIs: Experience in designing RESTful APIs using JAX-RS or frameworks like Spring REST or Jersey.

Scalability and Performance

• Scalability: Ability to design systems that can scale horizontally and vertically.
• Performance Optimization: Proficiency in performance tuning Java applications.
• Caching: Experience in implementing caching solutions using technologies like Redis, Ehcache, or Memcached.
• Database Optimization: Expertise in optimizing SQL queries and database design.

Cloud Computing and Infrastructure

• Cloud Platforms: Familiarity with cloud services such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Containerization and Orchestration: Experience with Docker and Kubernetes.
• Serverless Architecture: Understanding of serverless computing concepts.

DevOps and Continuous Delivery

• CI/CD Pipelines: Expertise in setting up Continuous Integration (CI) and Continuous Delivery (CD) pipelines.
• Infrastructure as Code (IaC): Familiarity with IaC tools.
• Monitoring and Logging: Experience with monitoring and logging tools.