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# Lead Java Developer

- **Company:** Jean Martin, Inc
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Spring Security, Agile Methodology, Unit Testing, Software Quality, Continuous Integration, Serialization, Data Structures, Relational Databases, Software Design Patterns, DevOps, Distributed Systems, Amazon DynamoDB, Gradle, Spring Framework, Junit, PostgreSQL, Apache Maven, Microsoft SQL Server, MongoDB, MySQL, NoSQL, Oracle (Applications), Performance Tuning, Systems Development Life Cycle, Redis, Mockito, Software Engineering, Spring-mvc, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Spring-boot, Model Validation, Generative AI, Backend, Agentic-AI, Git, Spring Data, Solid Principles, Information Technology, Cassandra, Apache Kafka, Api Design, Restful APIs, Microservices
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/5ac60a64-4f14-4844-8476-e1f6b141a1c1

## About the Role

Bachelor's or master's degree in computer science, Engineering, Information Technology, or a related field.
12+ years of professional software development experience.
Strong hands-on experience with Java, preferably Java 8 or higher.
Extensive experience with Spring Boot, Spring Framework, Spring MVC, Spring Data, and Spring Security.
Proven experience designing and implementing microservices-based architectures.
Strong hands-on experience with Apache Kafka, including:
Topic and partition design
Producer and consumer development
Consumer groups and offset management
Message ordering and delivery semantics
Schema management and serialization
Retry, dead-letter, and error-handling mechanisms
Kafka monitoring and performance tuning
Strong understanding of RESTful APIs, API design, integration patterns, and distributed systems.
Experience with relational databases such as Oracle, PostgreSQL, MySQL, or SQL Server.
Experience with NoSQL technologies such as MongoDB, Cassandra, DynamoDB, or Redis.
Hands-on experience with GenAI and LLM-based applications, including one or more of the following:
LLM API integration
Prompt engineering
Retrieval-Augmented Generation
Embeddings and vector search
Vector databases
AI agents and tool calling
LLM-based document processing
Model evaluation and response-quality monitoring
Experience integrating GenAI services with Java or enterprise backend applications.
Strong knowledge of software development life cycle, Agile methodologies, and DevOps practices.
Experience with unit testing and automated testing frameworks such as JUnit, Mockito, and Testcontainers.
Experience with Git, Maven or Gradle, CI/CD pipelines, and code quality tools.
Strong knowledge of design patterns, SOLID principles, data structures, algorithms, and clean coding practices.