Java Developer: Spring Boot, AI/RAG, Full SDLC

BeaconFire Inc; New Jersey; On-site; USD 62,000 - 80,000; Full time

Job summary

BeaconFire Inc. in the United States is seeking a Java developer to build scalable web applications using Java 8/17, Spring Boot, SQL/NoSQL databases, and Kafka.

You will write clean, maintainable code, participate in Agile Scrum, and own the full development lifecycle from design to production. You’ll implement AI integrations with Spring AI and LangChain4j, develop RAG pipelines, and keep up with modern Java technologies and best practices.

Qualifications

• Proven understanding of the software development life cycle.
• Strong knowledge of OO programming with common APIs and data structures.
• Experience with relational databases (MySQL, PostgreSQL) and basic SQL queries.

Responsibilities

• Develop scalable web applications using Java 8/17, Spring Boot, SQL/NoSQL, Kafka.
• Write clean, efficient code with a focus on maintainability and reusability.
• Conduct testing to ensure reliability and performance of applications.
• Perform code reviews to maintain quality and consistency.
• Participate in Agile Scrum and own the full development lifecycle from planning to deployment.
• Create and maintain technical documentation for applications and APIs.
• Ship to production: APIs, monitoring, cost/performance optimization, CI/CD, and security best practices.
• Stay up to date with latest Java technologies.

Skills

Java programming

Spring Framework

Object-oriented programming

SQL & NoSQL

REST APIs

Kafka

Education

Master’s Degree in Computer Science

Tools

Spring Boot

Maven

React.js

HTML/CSS

WebLogic

RabbitMQ

LangChain4j

Spring AI

Job description

BeaconFire Inc. in the United States is seeking a Java developer to build scalable web applications using Java 8/17, Spring Boot, SQL/NoSQL databases, and Kafka.

You will write clean, maintainable code, participate in Agile Scrum, and own the full development lifecycle from design to production. You’ll implement AI integrations with Spring AI and LangChain4j, develop RAG pipelines, and keep up with modern Java technologies and best practices.