Java Full Stack Developer
Apptad Inc
Java Full Stack
Location: New Jersey
Remote/Onsite: Onsite
Experience level: 9+ Relevant years of experience.
Job Description
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
Lightspeed
Familiarity with Lightspeed for development acceleration
Kibana
Experience with Kibana for log visualization, monitoring, and troubleshooting
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