RICEFW Technologies Inc.
ONLY LOCAL TO UTAH CAN APPY – NO RELOCATION
Key Responsibilities:
Business Automation:Â Design, develop, and maintain complex decision services using Drools (DRL) and migrate legacy workflows to cloud-native Kogito microservices.
AI Implementation:Â Architect and manage AWS Bedrock Knowledge Bases, ensuring the LLM provides accurate, context-aware responses.
Data Pipeline & ETL:Â Build automated pipelines to extract, clean, and convert legacy Adobe RoboHelp content into optimized Markdown/Vector formats stored in Amazon S3.
Backend Development:Â Develop high-performance RESTful APIs using Quarkus or Spring Boot to integrate AI chatbot capabilities into our core Java applications.
Cloud Orchestration:Â Deploy and scale business automation services within a Kubernetes/OpenShift environment.
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Required Technical Skills:
Java Mastery:Â 3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.
Rule Engines:Â Hands-on experience writing and debugging Drools rules and implementing DMN (Decision Model and Notation).
Cloud Native Automation:Â Proven experience with Kogito for building cloud-native business processes.
AWS AI/ML Stack:Â 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:Â Experience (or strong scripting ability) in converting Adobe RoboHelp (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
Modern DevOps:Â Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).
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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.
To apply for this job email your details to Karan@ricefwtech.com