Java Full Stack Lead
eTeam · Plano, TX · 2 wk ago
On-siteOTHRFull-time
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
Skills
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
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