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Java Developer; Business Automation & AI

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: Broughton Group
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    Cloud Engineer - Software, Java Developer
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: java Developer (Business Automation & AI)

Senior Java Developer

Hybrid - UT (Local Candidates only) USC and GC only. 6+ months State of Utah Onsite interview is required

We are seeking a Java Developer (3-5 years) to join our team and contribute experience and technical expertise to our business logic. Design, develop, and maintain complex decision services using Drools (DRL) and migrate legacy workflows to cloud-native Kogito microservices. Data Pipeline & ETL, Develop high-performance RESTful APIs using Quarkus or Spring Boot to integrate AI chatbot capabilities into our core Java applications.

Deploy and scale business automation services within a Kubernetes/Open Shift environment.

Mandatory - Must Have:

  • 3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.
  • 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.
  • Experience configuring AWS Bedrock (Knowledge Bases, Agents, or Prompt Engineering).
  • Proficiency in managing Amazon S3 for large-scale document storage and metadata tagging.
  • Experience (or strong scripting ability) in converting Adobe Robo Help (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
  • Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).

Preferred

Skills:

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