Position: Senior Java Developer (Business Automation & AI)
Location: Salt Lake City Utah 84111
Interview mode: Onsite interviews
Visa: ANY
Interviews will be held onsite.
Hybrid role
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.
Position: Senior Java Developer (Business Automation & AI) Location: Salt Lake City Utah 84111 Interview mode: Onsite interviews Visa: ANY Interviews will be held onsite. Hybrid role Required Technical Skills: Java Mastery: 3-5 years of professional experience with Java (8/11/17) includi...
Position: Senior Java Developer (Business Automation & AI)
Location: Salt Lake City Utah 84111
Interview mode: Onsite interviews
Visa: ANY
Interviews will be held onsite.
Hybrid role
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.
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