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Java/Drools Developer | Salt Lake City,Utah (Hybrid)

Salt Lake City, UT, US • Posted 1 hour ago • Updated 35 minutes ago

Full Time

Part Time

On-site

Fitment

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Skills

Gmail
WebKit
JD
Workflow
Microservices
Extract
Transform
Load
Backend Development
RESTful
Orchestration
Java
Spring Framework
Writing
Debugging
Drools
Cloud Computing
Business Process
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
Vector Databases
Python
BPMN
Amazon Web Services
Machine Learning (ML)
Oracle UCM
IMG

Summary

Hi,

Position: Java Developer / Drools

Location: Salt Lake City, Utah (Hybrid)

Duration: 12 + Months

Interview Mode: In-person

Need Only Local Profile

Key Responsibilities:

Business Automation: Design, develop, and maintain complex decision services using Drools (DRL) and migrate legacy workflows to cloud-native Kogito microservices.
AI Implementation: Architect and manage AWS Bedrock Knowledge Bases, ensuring the LLM provides accurate, context-aware responses.
Data Pipeline & ETL: Build automated pipelines to extract, clean, and convert legacy Adobe RoboHelp content into optimized Markdown/Vector formats stored in Amazon S3.
Backend Development: Develop high-performance RESTful APIs using Quarkus or Spring Boot to integrate AI chatbot capabilities into our core Java applications.
Cloud Orchestration: Deploy and scale business automation services within a Kubernetes/OpenShift environment.

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).

Preferred Qualifications:

Experience with Vector Databases (Amazon OpenSearch, Pinecone, or Milvus).
Understanding of Python (specifically for BeautifulSoup/Pandoc-based document parsing).
Knowledge of BPMN 2.0 standards.
AWS Certified Developer or AWS Machine Learning Specialty certification.

Niranjan Kumar | Technical Recruiter

Email:
Stellent IT | office :

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: 91022079
Position Id: 2026-48537
Posted 1 hour ago

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