Sr java developer - In-person interview in Salt lake city UT

Title

• Java Developer Location
• Salt lake city UT Interview
• onsite
• in person 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. Simultaneously building out our next-generation AI Chatbot infrastructure. A key focus of this role is the digital transformation of our legacy documentation (Adobe RoboHelp) 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 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. Skill matrix Skills Years of experience Recently used years Java Developer Kogito. AI Chatbot AWS Bedrock and RAG Drools (DRL Spring Boot or Quarkus. DMN (Decision Model and Notation). Adobe RoboHelp (HTML/XML Markdown/JSON Docker/Kubernetes Amazon OpenSearch, Pinecone, or Milvus Python

BPMN 2.0

standards.