Senior Java Developer (Business Automation & AI)

• Posted 1 day ago • Updated 3 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Migration
  • Business Rules
  • Workflow
  • Microservices
  • Artificial Intelligence
  • Management
  • Extract
  • Transform
  • Load
  • Backend Development
  • RESTful
  • Orchestration
  • Java
  • Spring Framework
  • Drools
  • Cloud Computing
  • Prompt Engineering
  • Amazon S3
  • Document Management
  • Meta-data Management
  • Adobe RoboHelp
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Docker
  • Kubernetes
  • Vector Databases
  • Python
  • Scripting
  • BPMN
  • Amazon Web Services
  • Machine Learning (ML)

Summary

Senior Java Developer Application Form

Senior Java Developer (Business Automation & AI)

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 while simultaneously building our next-generation AI Chatbot infrastructure.

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.
  • Cloud Orchestration: Deploy and scale business automation services within Kubernetes/OpenShift.


Required Technical Skills
  • 3-5 years of professional experience with Java (8/11/17+)
  • Experience with Spring Boot or Quarkus
  • Hands-on Drools and DMN implementation experience
  • Cloud-native business automation using Kogito
  • AWS Bedrock Knowledge Bases and Prompt Engineering
  • Amazon S3 document management and metadata tagging
  • Adobe RoboHelp content transformation experience
  • Git, CI/CD, Docker, and Kubernetes experience


Preferred Qualifications
  • Experience with Vector Databases (OpenSearch, Pinecone, Milvus)
  • Python scripting for document parsing (BeautifulSoup/Pandoc)
  • Knowledge of BPMN 2.0 standards
  • AWS Certified Developer or AWS ML Specialty certification

Application Form

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Years of Experience Select3 Years4 Years5 Years6+ Years

Technical Skills

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: sharpdec
  • Position Id: 52700
  • Posted 1 day ago
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