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Senior Java Application Developer
Job in
Salt Lake City, Salt Lake County, Utah, 84193, USA
Listed on 2026-05-13
Listing for:
HK TECH
Full Time
position Listed on 2026-05-13
Job specializations:
-
Software Development
Cloud Engineer - Software, AI Engineer
Job Description & How to Apply Below
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, building out our next‑generation AI Chatbot infrastructure, and digital transformation of our legacy documentation (Adobe Robo Help) into a high‑performance Knowledge Base using AWS Bedrock and RAG (Retrieval‑Augmented Generation) architectures.
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 Robo Help 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/Open Shift environment.
- 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) converting Adobe Robo Help (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
- Modern Dev Ops: Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).
- 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.
Position Requirements
10+ Years
work experience
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