Java/Drools Developer (Business Automation & AI)

• Posted 2 hours ago • Updated 18 minutes ago
Contract Corp To Corp
Fitment

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Job Details

Skills

  • Migration
  • Business Rules
  • FOCUS
  • Knowledge Base
  • Java
  • Spring Framework
  • Writing
  • Debugging
  • Drools
  • Cloud Computing
  • Business Process
  • Machine Learning (ML)
  • Amazon Web Services
  • Prompt Engineering
  • Management
  • Amazon S3
  • Storage
  • Meta-data Management
  • Documentation
  • Scripting
  • Adobe RoboHelp
  • HTML
  • XML
  • JSON
  • Artificial Intelligence
  • DevOps
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Docker
  • Kubernetes

Summary

Position: Java/Drools Developer (Business Automation & AI)

Client: State of UTAH

Location: Salt Lake City, UT HYBRID (Must be local to Utah with DL proof)

Duration: Long Term Contract
Visa: H1B, and Citizen

Rate: $65/hr. on C2c
MOI: In-person interview required.

Job Description:
We are seeking a Java Developer (3-5 years) to join our team and contribute experience and technical expertise to our business logic and self-service support systems. You will be responsible for maintaining and migrating complex business rules using Drools and Kogito. Simultaneously building out our next-generation AI Chatbot infrastructure. A key focus of this role is the digital transformation of our legacy documentation (Adobe RoboHelp) into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) architectures.

Required Technical Skills:
Java Mastery: 3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.
Rule Engines: Hands-on experience writing and debugging Drools rules and implementing DMN (Decision Model and Notation).
Cloud Native Automation: Proven experience with Kogito for building cloud-native business processes.
AWS AI/ML Stack: Experience configuring AWS Bedrock (Knowledge Bases, Agents, or Prompt Engineering).
**Proficiency in managing Amazon S3 for large-scale document storage and metadata tagging.
Documentation Transformation: Experience (or strong scripting ability) in converting Adobe RoboHelp (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
Modern DevOps: Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91085511
  • Position Id: 2026-1067
  • Posted 2 hours ago
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