We are seeking a Java Developer to design build and support enterprise-grade applications and services. The role requires strong core Java expertise experience with EJB and Spring Kafka and hands-on work with Oracle DB and MongoDB. You will also contribute to modern AI-enabled capabilities (Agentic AI) and performance optimization using Redis caching.
Key Responsibilities Design develop test and maintain Java-based applications and APIs. Build and support components using EJB and Spring/Spring Boot (as applicable). 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-through/write-through TTL policies cache invalidation). Integrate Agentic AI capabilities into applications (e.g. orchestrating agent workflows tool/function calling guardrails observability). Produce clean maintainable code following secure coding and 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 features end-to-end. Create technical documentation (design notes runbooks API docs) and support knowledge transfer. Required Skills & Experience Strong experience in Java (Core Java OOP Collections Concurrency) Kafka Hands-on experience with EJB (stateless/stateful beans transactions JPA integration where relevant). Strong experience with Spring Framework (preferably Spring Boot Spring MVC Spring Data). Solid experience with Oracle DB (SQL PL/SQL basics performance tuning indexing). Experience with MongoDB (schema design aggregation pipeline indexing performance considerations). Experience implementing Redis as a cache (data structures eviction policies clustering/sentinel awareness is a plus). Working knowledge of Agentic AI concepts and implementation patterns (agents tools orchestration prompt/workflow design evaluation). Familiarity with RESTful APIs JSON and integration patterns.
Role: Java Developer (Need Locals) Location: New York City (Financial District) Schedule: Onsite 3x/week Contract Duration: 6 Months Interview Process: Virtual Onsite Job Description: We are seeking a Java Developer to design build and support enterprise-grade applications and services. The ro...
Role: Java Developer (Need Locals)
Location: New York City (Financial District)
Schedule: Onsite 3x/week
Contract Duration: 6 Months
Interview Process: Virtual Onsite
Job Description:
We are seeking a Java Developer to design build and support enterprise-grade applications and services. The role requires strong core Java expertise experience with EJB and Spring Kafka and hands-on work with Oracle DB and MongoDB. You will also contribute to modern AI-enabled capabilities (Agentic AI) and performance optimization using Redis caching.
Key Responsibilities Design develop test and maintain Java-based applications and APIs. Build and support components using EJB and Spring/Spring Boot (as applicable). 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-through/write-through TTL policies cache invalidation). Integrate Agentic AI capabilities into applications (e.g. orchestrating agent workflows tool/function calling guardrails observability). Produce clean maintainable code following secure coding and 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 features end-to-end. Create technical documentation (design notes runbooks API docs) and support knowledge transfer. Required Skills & Experience Strong experience in Java (Core Java OOP Collections Concurrency) Kafka Hands-on experience with EJB (stateless/stateful beans transactions JPA integration where relevant). Strong experience with Spring Framework (preferably Spring Boot Spring MVC Spring Data). Solid experience with Oracle DB (SQL PL/SQL basics performance tuning indexing). Experience with MongoDB (schema design aggregation pipeline indexing performance considerations). Experience implementing Redis as a cache (data structures eviction policies clustering/sentinel awareness is a plus). Working knowledge of Agentic AI concepts and implementation patterns (agents tools orchestration prompt/workflow design evaluation). Familiarity with RESTful APIs JSON and integration patterns.