| Senior Java Developer || UT || Onsite || F2F Interview at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3358900&uid=5b5ef2709e0d4210ba1c8aecb13cb424 From: Aditya Sharma, GVR Infotek [email protected] Reply to: [email protected] Job Description Job Title: Senior Java Developer (Business Automation & AI) State Agency: DWS Location: Department of Workforce Services, 140 East 300 S , 84111 Hybrid - Candidate must be local - Onsite interviews Required only locals with DL proof. Job Description 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. Please share your resume at [email protected] Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree information technology Senior Java Developer || UT || Onsite || F2F Interview [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3358900&uid=5b5ef2709e0d4210ba1c8aecb13cb424 |
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| 07:22 PM 08-May-26 |