H4EAD

Hudson Manpower•Knoxville, TN

9d•Remote

About The Position

We are seeking an experienced Java Developer with 4–8 years of professional experience to design, develop, test, deploy, and maintain scalable enterprise applications and distributed systems. The ideal candidate will have strong hands-on expertise in modern Java, Spring Boot, REST APIs, microservices, cloud platforms, event-driven architecture, containers, and CI/CD, along with a solid understanding of application security, observability, and system design. Exposure to AI/LLM integration and AI-enabled application development using modern Java frameworks is highly desirable. The candidate must be flexible regarding location and willing to relocate anywhere in the United States for the right opportunity.

Requirements

4–8 years of professional experience in Java development
Strong hands-on experience with Java 17/21, with exposure to newer Java LTS versions a plus
Strong knowledge of Core Java, OOP, Collections, Generics, Streams, Multithreading, Concurrency, Exception Handling, and JVM fundamentals
Strong experience with Spring Framework and Spring Boot
Hands-on experience developing RESTful APIs and Microservices
Strong understanding of microservices architecture, distributed systems, and service-to-service communication
Strong experience with SQL and relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server
Experience with Git and Git-based development workflows
Experience writing unit, integration, and API tests using JUnit 5, Mockito, Spring Boot Test, or equivalent frameworks
Experience with Maven or Gradle
Strong understanding of Agile/Scrum development methodologies
Strong debugging, troubleshooting, performance optimization, and problem-solving skills.
Must be authorized to work in the U.S. as a U.S. Citizen, Green Card holder, or H4 EAD holder.
Must be willing to work on W2.
Must be willing to relocate anywhere in the United States for a suitable opportunity.
Must have 4-8 years of hands-on professional Java development experience.
Strong communication and collaboration skills required.

Nice To Haves

Exposure to AI/LLM integration and AI-enabled application development using modern Java frameworks is highly desirable.
Experience with Spring Cloud and cloud-native development
Experience with Kafka/event-driven architecture
Experience with Kubernetes, Helm, and Docker
Experience implementing CI/CD and DevSecOps practices
Experience with Terraform and Infrastructure as Code
Understanding of 12-factor application principles
Experience with API design, versioning, documentation, and lifecycle management
Strong understanding of system design, scalability, availability, reliability, and performance
Experience working in production environments supporting highly available applications
Exposure to Generative AI, LLMs, or AI-enabled enterprise applications
Experience with Spring AI, LangChain4j, or similar Java-based AI integration frameworks is a plus
Understanding of integrating LLM APIs, embeddings, vector databases, RAG, or AI-powered APIs is desirable
Experience building applications that consume AI/ML services through REST APIs or cloud AI platforms is a plus
Working knowledge of modern front-end technologies such as React, Angular, TypeScript, HTML, and CSS is a plus
Understanding of integrating Java/Spring Boot backend services with modern web applications
Understanding of JVM monitoring, garbage collection, memory management, and performance tuning is a plus

Responsibilities

Design, develop, test, and maintain scalable Java-based enterprise applications
Build and maintain Spring Boot microservices and REST APIs
Develop cloud-native and distributed applications
Design and implement event-driven solutions using Kafka
Integrate applications with relational and NoSQL databases
Develop secure APIs using Spring Security, OAuth2/OIDC, and JWT
Write high-quality unit, integration, and automated tests
Participate in code reviews and maintain coding standards
Develop and maintain CI/CD pipelines
Containerize applications using Docker and deploy them using Kubernetes
Monitor, troubleshoot, and optimize applications in development and production environments
Collaborate with architects, DevOps engineers, QA engineers, product teams, and other developers
Participate in Agile ceremonies and contribute to technical design and architecture discussions
Evaluate and adopt modern technologies that improve application scalability, reliability, security, and developer productivity
Contribute to AI-enabled application initiatives where applicable