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# Java Developer

- **Company:** Expert Technology Services
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Component-Based Software Engineering, Data Security, Data Structures, DevOps, Enterprise JavaBeans, Java Persistence API, Spring Framework, JSON, MongoDB, Object-Oriented Software Development, Performance Tuning, Systems Development Life Cycle, Redis, Runbook, Secure Coding, PL-SQL, SQL Databases, Enterprise Software Applications, Spring-mvc, Multi-Agent Systems, Concurrency, Spring-boot, Caching, Indexer, Spring Data, Apache Kafka, Virtual Agents, Restful APIs, Oracledb
- **Published:** July 10, 2026
- **Apply:** https://www.careerjet.com/jobad/us0b74d144508bb9abee7683eacc770609

## About the Role

Required to have strong experience in Core Java, OOP, Collections, Concurrency, and Kafka.

 - Must have hands-on experience with EJB (stateless/stateful beans, transactions, JPA integration).
 - Proficient in Spring Framework (Spring Boot, Spring MVC, Spring Data).
 - Solid experience working with Oracle DB (SQL, PL/SQL basics, performance tuning, indexing).
 - Experience with MongoDB (schema design, aggregation pipeline, indexing, performance).
 - Experience implementing Redis as a cache (data structures, eviction policies, clustering/sentinel awareness is a plus).
 - Familiarity with RESTful APIs, JSON, and integration patterns.
 - Working knowledge of Agentic AI concepts and implementation patterns.
 - Typically requires 4+ years of relevant development experience in Kafka, Java, SQL/PL-SQL, and AWS.

## Description

Design, develop, test, and maintain Java-based enterprise applications and APIs.

 - Build and support application components using EJB and Spring/Spring Boot frameworks.
 - Develop data access layers and optimize queries for Oracle DB; implement document models and queries for MongoDB.
 - Implement and tune Redis caching strategies (e.g., read/write-through caching, TTL policies, cache invalidation).
 - Integrate Agentic AI capabilities, including agent orchestration, tool/function calling, and observability features.
 - Write clean, maintainable, and secure code following SDLC best practices.
 - Troubleshoot production issues, perform root-cause analysis, and implement fixes and performance improvements.
 - Collaborate with architects, QA, DevOps, and product stakeholders to deliver end-to-end features.
 - Create technical documentation, including design notes, runbooks, and API documentation, and support knowledge transfer., Join a dynamic team as a Game Developer, where your expertise will contribute to the training of next-generation AI systems. This role offers a unique opportunity to shape how AI m…
 + 9 days ago


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