Senior Java Developer (Business Automation & AI) at Globenet Consulting Corp

, , United States -

Full Time

Start Date

Immediate

Expiry Date

07 Aug, 26

Salary

55.0

Posted On

09 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spring Boot, Quarkus, Drools, Kogito, AWS Bedrock, Amazon S3, Kubernetes, OpenShift, REST APIs, DMN, Git, CI/CD, Docker, RAG, Markdown

Industry

IT Services and IT Consulting

Description

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.

Responsibilities

Modernize business automation platforms by migrating decision logic to cloud-native microservices and building AI chatbot infrastructure. Develop AWS Bedrock Knowledge Bases and automated pipelines to convert legacy documentation into AI-optimized formats.