Java/Drools Developer

Stellent IT LLC
Salt Lake City, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Salt Lake City, United States of America

Tech stack

HTML
Java
Adobe RoboHelp
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Process Model and Notation
Cloud Computing
Cloud Engineering
Continuous Integration
ETL
Software Debugging
DevOps
Document Management Systems
Drools
JSON
Python
Metadata
Openshift
Markdown
Azure
XML
Scripting (Bash/Python/Go/Ruby)
Large Language Models
Prompt Engineering
Spring-boot
Backend
GIT
Containerization
Kubernetes
REST
Data Pipelines
Docker
Microservices

Job description

  • 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.

Requirements

  • 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.

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