Java Full Stack

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 Skill Proficiency Expected (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 Proficiency Expected (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