A leading tech company in Edison, NJ is seeking a skilled software engineer to work on microservices using Java 17 and Spring Boot. You will be responsible for designing high-performance applications and REST APIs, implementing event-driven systems with IBM MQ and Apache Kafka, and collaborating with cross-functional teams. Strong experience with Spring WebFlux and cloud technologies is desired. This role offers opportunities for continuous improvement and career growth.
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.
Troubleshooting production issues, performing root cause analysis, and implementing effective fixes.
Contributing to continuous improvement initiatives by identifying opportunities for optimization and automation.
Skills
Java 17
Spring Boot
Spring WebFlux
REST APIs
Microservices
IBM MQ
Apache Kafka
Tools
MongoDB
AWS Cloud
OpenShift
Kubernetes
Helm
Harness
Git & Bitbucket
JIRA
Gradle
Kibana
Job description
Mandatory Skills
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
Good-to-Have Skills
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
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.