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# Middleware Integration Engineers

- **Company:** Experis
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $135,200.0 - $156,000.0
- **Contract:** Temporary contract
- **Skills:** Databases, Data Mining, Middleware, IBM WebSphere MQ, Shell Script, PL-SQL, Systems Integration, Scripting, Sql Optimization, Apache Kafka, Api Design, Restful APIs
- **Published:** October 15, 2026
- **Apply:** https://www.experis.com/en/job/414894/senior-middleware-integration-engineer-ibm-ace-ibm-mq-

## About the Role

+ IBM ACE & IBM MQ Expertise: 5+ years of hands-on experience developing, configuring, and supporting IBM App Connect Enterprise (ACE) and IBM MQ message flows.
 + Containerized Environments: Direct experience deploying and managing middleware within OpenShift or Kubernetes environments.
 + Streaming & Event Messaging: Strong hands-on experience integrating message flows with Kafka for real-time asynchronous processing.
 + Database & SQL Mastery: Advanced SQL / PL-SQL development skills for complex data extraction, transformation, and validation routines.
 + API Development: Proven track record building and consuming RESTful APIs within middleware architectures.
 + Scripting & OS: Proficient in Unix/Linux shell scripting.
 + Employment Terms: Must be eligible for direct W2 employment (No C2C / No 1099 / No Subcontracting) and able to work hybrid onsite in Charlotte, NC.

## Description

We are seeking 3-4 Senior Middleware Integration Engineers with deep technical expertise in IBM App Connect Enterprise (ACE) and IBM MQ to support a critical enterprise system transition involving a legacy Profile Deposits platform.
In this role, you will lead complex data transformation, contextual conversion, and API-led connectivity while maintaining and supporting existing IBM ACE and IBM MQ message flows in a containerized environment., + IBM ACE & IBM MQ Support & Development: Maintain, troubleshoot, and optimize operational IBM ACE message flows and IBM MQ queues while developing new high-performance integration channels.

 + Contextual Data Transformation: Lead complex data transformation and logic conversion (beyond basic file transfer) to support the migration from legacy Profile systems to target enterprise applications.
 + API-Led Connectivity & Messaging: Transition legacy file-based transfers into modern RESTful APIs and integrate high-volume real-time streams using Kafka.
 + Database & Scripting Operations: Write and optimize PL/SQL queries for data validation, integrity checks, and transformation, supported by Unix/Linux shell scripting for automation.
 + Containerized Deployment: Support middleware node deployments, container orchestration, and flow executions within an OpenShift environment.