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Java Developer - (2-4 years) || USC/GC/H4EAD @ Hudson Manpower

USOnsiteFull-time
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About this role

Job Summary We are seeking a Java Developer with 2–4 years of professional experience to design, develop, test, and maintain scalable enterprise applications. The ideal candidate should have strong hands-on experience with Java, Spring Boot, REST APIs, and microservices , along with exposure to modern cloud and DevOps technologies. The candidate should be flexible regarding location and willing to relocate anywhere in the United States for the right opportunity. Experience: 2–4 Years Employment Type: W2 Only Work Authorization: U.S. Citizen / Green Card / H4 EAD Only Location: Open to opportunities across the United States Relocation: Must be willing to relocate anywhere in the U.S. for a suitable opportunity Required Skills 2–4 years of professional Java development experience Strong hands-on experience with Java 17/21 Strong knowledge of Core Java, OOP, Collections, Multithreading, and Exception Handling Spring Boot and Spring Framework Experience developing RESTful APIs and Microservices Strong understanding of SQL and relational databases Experience with Git/GitHub/GitLab/Bitbucket Unit and integration testing using JUnit/Mockito Familiarity with Maven or Gradle Understanding of Agile/Scrum development methodologies Strong debugging, troubleshooting, and problem-solving skills Cloud & Modern Development Experience Experience with one or more of the following is strongly preferred: AWS, Azure, or Google Cloud Docker Kubernetes CI/CD using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps Apache Kafka or other event-streaming technologies Redis or other caching technologies NoSQL databases such as MongoDB Preferred Qualifications Experience with Spring Security, OAuth2, or JWT Knowledge of API Gateway and distributed systems Experience with Kafka/event-driven architecture Exposure to Terraform or Infrastructure as Code Familiarity with observability tools such as Splunk, Grafana, Prometheus, or ELK Basic understanding of system design and scalable application architecture Exposure to AI/LLM integration, Spring AI, or AI-enabled applications is a plus

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