What are the responsibilities and job description for the Middleware AI consultant position at Info Dinamica Inc?
- Role/Skills: Middleware AI consultant
- Location - Onsite, Chicago.
Description:
Core Middleware Expertise
- IBM WebSphere Application Server (WAS) 7.x, 8.x, 8.5.x, 9.x
- WebSphere Network Deployment (ND)
- Cell, node, cluster, and deployment manager architectures
- WebSphere administration and troubleshooting
- WebSphere security configuration
- LDAP and Active Directory integrations
- JMS, JNDI, JDBC, connection pools
- IBM MQ integrations
- Shared libraries and class loading
- Red Hat JBoss Enterprise Application Platform (EAP)
- Enterprise middleware architecture and administration
- Legacy middleware modernization and consolidation programs
- Application Assessment & Discovery
- Application inventory and discovery
- Middleware dependency analysis
- Configuration analysis
- Integration analysis
Identification of WebSphere-specific dependencies:
- EJBs
- JMS
- JNDI resources
- Deployment descriptors
- Security components
- Shared libraries
- Custom classloading configurations
- Custom middleware services
- Application complexity classification
- Migration feasibility analysis
- Risk and effort estimation
- Application rationalization and modernization planning
- Java Platform Knowledge
- Java SE / Java EE / Jakarta EE
- EAR, WAR, and JAR packaging
- Maven
- Gradle
- Spring Framework
- REST APIs
- SOAP services
- XML configuration analysis
- Enterprise integration patterns
- Claude Code Experience
- Resource must be comfortable leveraging Claude Code throughout the assessment engagement.
Capabilities should include:
- Codebase analysis
- Dependency discovery
- Configuration review
- Automated documentation generation
- Technical debt identification
- Migration suitability analysis
- Complexity scoring
- Refactoring recommendation generation
- Migration roadmap development
- Validation of AI-generated findings and recommendations
- Modernization Assessment Experience
- WebSphere-to-JBoss migration assessments
- Identification of low-complexity migration candidates
- Identification of middleware-only remediation opportunities
- Application portability assessments
- Licensing optimization opportunities
- Development of modernization roadmaps
- Development of migration waves and prioritization strategies
- Minimization of application team engagement through automated analysis and AI-assisted assessment techniques
Supporting Skills
- Linux administration fundamentals
- Shell scripting
- Python scripting
- Log analysis
- Performance assessment
- Configuration management concepts
- Enterprise authentication technologies:
- LDAP
- Active Directory
- SSO
Required Deliverables Experience
- Current-state middleware inventory
- Application dependency matrix
- Application complexity assessment
- Migration feasibility report
- Candidate prioritization matrix
- Application team effort assessment
- Modernization roadmap
- Executive summary and recommendations