Senior Java Developer (Business Automation & AI)

Globenet Consulting Corp

Senior Java Developer (Business Automation & AI)

Bellevue, WA
Full Time
Paid
  • Responsibilities

    Benefits:

    Competitive salary

    Opportunity for advancement

    Training & development

    Role: Senior Java Developer (Business Automation & AI) Location: Remote (Utah)

    We’re hiring a Senior Java Developer (3–5 years) to help modernize business automation and self-service support platforms. You’ll maintain and migrate complex decision logic using Drools and Kogito, and support the build-out of AI chatbot infrastructure. This role also focuses on converting legacy documentation into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) patterns.

    What you’ll do

    Design, develop, and maintain decision services using Drools (DRL); migrate legacy workflows to cloud-native Kogito microservices.

    Build and manage AWS Bedrock Knowledge Bases to enable accurate, context-aware AI responses.

    Create automated pipelines to extract, clean, and convert legacy documentation into optimized formats (Markdown/vector-ready), stored in Amazon S3.

    Develop secure, high-performance REST APIs using Quarkus or Spring Boot to integrate chatbot capabilities into Java applications.

    Deploy and scale business automation services in Kubernetes/OpenShift environments.

    Collaborate with engineering and product stakeholders to improve decision accuracy, performance, and maintainability.

    Required skills & experience

    3–5 years of professional Java experience (8/11/17+) with Spring Boot or Quarkus.

    Hands-on experience writing/debugging Drools rules and implementing DMN (Decision Model and Notation).

    Proven experience with Kogito for cloud-native business processes.

    Experience with AWS Bedrock (Knowledge Bases, Agents, and/or prompt engineering).

    Strong working knowledge of Amazon S3 for document storage and metadata tagging.

    Experience converting legacy HTML/XML documentation into structured formats (Markdown/JSON) for AI usage.

    Experience with Git, CI/CD pipelines, Docker, and Kubernetes.

    Nice to have

    Experience with vector databases (Amazon OpenSearch, Pinecone, Milvus).

    Python exposure for document parsing/automation.

    Knowledge of BPMN 2.0 standards.

    AWS certifications (Developer Associate and/or Machine Learning Specialty).

    Ready to make an impact? Apply now and join us on our journey!

    This is a remote position.