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# Middleware Integration Consultant (IBM ACE)

- **Company:** Manpower
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $145,600 - $166,400
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Business Logic, Data Integrity, Data Transformation, Data Retrieval, Middleware, OpenShift, Shell Script, PL-SQL, Data Streaming, Scripting, Sql Optimization, Apache Kafka, Api Design, Restful APIs
- **Published:** October 26, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3467482207&tx=KR10201LFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* IBM ACE Mastery: 5+ years of dedicated, hands-on development experience with IBM App Connect Enterprise (ACE).
 * Conversion Logic: Direct, proven experience handling complex middleware system conversions involving heavy contextual data transformation.
 * Modern Infrastructure: Solid hands-on experience working within containerized Red Hat OpenShift environments.
 * Data Streaming: Strong proficiency with Kafka integration for real-time messaging pipelines.
 * Database Expertise: Advanced SQL and PL/SQL development skills, specifically for data retrieval, structural transformation, and rigorous validation.
 * API Development: Deep background building, testing, and consuming secure RESTful APIs.
 * Scripting: Clean proficiency in Unix/Linux shell scripting for system automation.

## Description

* Middleware Development: Design, build, and optimize high-performance integration solutions utilizing IBM App Connect Enterprise (ACE).
 * Contextual Data Transformation: Architect and execute complex data mappings and business logic transformations to support the migration from the legacy platform.
 * API-Led Connectivity: Drive modern infrastructure updates by transitioning legacy, file-based batch transfers into real-time, API-based integrations.
 * Streaming & Messaging: Integrate and process high-volume, asynchronous, real-time datasets utilizing Apache Kafka.
 * Database Engineering: Construct and tune complex PL/SQL queries to safely retrieve, transform, and validate data integrity throughout the conversion lifecycle.
 * Containerized Orchestration: Support deployments and maintain enterprise middleware nodes inside a Red Hat OpenShift environment.
 * Automation: Develop and maintain robust Unix/Linux shell scripts for background automation and operational support.