Java Full Stack

Responsibilities:

• Designing, developing, and maintaining high-performance, scalable microservices using Java 17 and Spring Boot framework
• Building reactive and non-blocking applications leveraging Spring WebFlux to handle high-concurrency workloads efficiently
• Developing and consuming RESTful APIs following industry best practices and ensuring proper documentation
• Implementing event-driven architecture using IBM MQ and Apache Kafka for seamless asynchronous communication between services
• Collaborating with cross-functional teams including frontend developers, architects, and product owners to deliver end-to-end solutions
• Writing clean, maintainable, and well-documented code adhering to coding standards and best practices. Participating in code reviews, providing constructive feedback, and ensuring code quality across the team
• Troubleshooting production issues, performing root cause analysis, and implementing effective fixes
• Contributing to continuous improvement initiatives by identifying opportunities for optimization and automation

Skill Matrix - Mandatory

• Java 17 Expert-level understanding of Java 17 features including records, sealed classes, pattern matching, and enhanced switch expressions
• Spring Boot Strong hands-on experience in building production-grade applications using Spring Boot
• Spring WebFlux Proficiency in developing reactive, non-blocking applications using Spring WebFlux and Project Reactor
• REST APIs Expertise in designing, developing, and securing RESTful APIs with proper versioning and error handling
• Microservices Solid experience in microservices architecture including service discovery, API gateway, circuit breakers, and distributed tracing
• IBM MQ Hands-on experience with IBM MQ for enterprise messaging and integration
• Apache Kafka Strong knowledge of Kafka for building event-driven systems, including producers, consumers, and stream processing

Skill Matrix - Good To Have

• MongoDB Experience with MongoDB for NoSQL database design, queries, and aggregation pipelines
• AWS Cloud Familiarity with AWS services such as EC2, S3, Lambda, ECS, and RDS
• OpenShift Experience deploying and managing applications on OpenShift or similar container platforms
• Kubernetes Knowledge of Kubernetes for container orchestration, deployments, and scaling
• Helm Experience with Helm charts for Kubernetes application packaging and deployment
• Harness Familiarity with Harness for continuous delivery and deployment automation
• Git & Bitbucket Proficiency in version control using Git and collaboration via Bitbucket
• JIRA Experience using JIRA for agile project management and issue tracking
• Gradle Hands-on experience with Gradle for build automation and dependency management
• Client Project Familiarity with Client Project for development acceleration
• Kibana Experience with Kibana for log visualization, monitoring, and troubleshooting