Middleware AI consultant

• 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