Java Developer with kafka :: onsite :: W2/C2C
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Trebecon LLC, is seeking the following. Apply via Dice today!Job Title: Senior Java Developer with kafkaLocation: Hartford, CT(Onsite)In person Interview in Dallas, TX/Hartford, CTExperience: 8+ YearsJob SummaryWe are seeking a highly skilled Senior Java Developer with strong experience in building scalable, distributed systems using Apache Kafka and modern cloud platforms (AWS/Azure/Google Cloud Platform). The ideal candidate will have deep expertise in backend development, event-driven architecture, and microservices design.Key ResponsibilitiesDesign, develop, and maintain high-performance backend applications using Java/J2EE technologiesBuild and implement event-driven architectures using Apache KafkaDevelop scalable microservices using Spring Boot and RESTful APIsDeploy and manage applications on cloud platforms (AWS, Azure, or Google Cloud Platform)Collaborate with cross-functional teams including DevOps, QA, and Product teamsOptimize application performance, scalability, and reliabilityImplement best practices for code quality, security, and testingParticipate in architectural discussions and provide technical leadershipTroubleshoot production issues and perform root cause analysisRequired Skills8+ years of experience in Java development (Java 8/11/17)Strong experience with Spring Framework (Spring Boot, Spring MVC)Hands-on experience with Apache Kafka (producers, consumers, streams)Experience with microservices architecture and REST APIsSolid experience with at least one cloud platform:AWS (EC2, S3, Lambda, ECS, EKS) ORAzure (App Services, AKS, Event Hub) ORGoogle Cloud Platform (GKE, Pub/Sub, Cloud Functions)Experience with Docker & KubernetesStrong understanding of distributed systems and messaging frameworksExperience with relational and NoSQL databases (Oracle, MySQL, MongoDB, etc.)Familiarity with CI/CD pipelines (Jenkins, GitLab, etc.)Preferred QualificationsExperience with Kafka Streams or Confluent Platform