MDM API & Cloud Integration Engineer

McLane Company, Inc; Temple (TX); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Day 1 Benefits: medical, dental, and

Paid time off starts day one

401(k) Profit Sharing after 90 days

Pet insurance, maternity/paternity, E*

Job summary

McLane Company, Inc. is seeking an MDM Integration Engineer to design, develop, and support scalable integration solutions across enterprise applications, cloud platforms, and business systems.

The role emphasizes hands-on experience building RESTful APIs, Java backend services, and event-driven architectures within Google Cloud Platform (GCP). Collaboration with data engineering and business teams is essential for secure, reliable, and scalable integrations.

Qualifications

• Experience building RESTful APIs and Java-based backend applications.
• Experience designing and implementing event-driven solutions.
• Strong knowledge of Google Cloud Platform (GCP) and cloud-native architectures.

Responsibilities

• Design, develop, and maintain enterprise integration solutions for McLane's MDM platform.
• Build and support RESTful APIs and microservices using Java and cloud-native practices.
• Develop event-driven architectures using GCP services (Pub/Sub, Cloud Tasks, GKE).
• Implement API management using APIGEE and manage data integration across ERPs and analytics platforms.
• Create and maintain IaC with Terraform and support CI/CD pipelines.
• Collaborate with stakeholders to define integration requirements and data exchange patterns.

Skills

RESTful APIs

Java backend

GCP

Microservices

CI/CD

DevOps

OAuth/JWT

Education

Bachelor's degree in CS/IS/Engineering

Tools

APIGEE

Terraform

Git

GKE

Job description

McLane Company, Inc. is seeking an MDM Integration Engineer to design, develop, and support scalable integration solutions across enterprise applications, cloud platforms, and business systems.

The role emphasizes hands-on experience building RESTful APIs, Java backend services, and event-driven architectures within Google Cloud Platform (GCP). Collaboration with data engineering and business teams is essential for secure, reliable, and scalable integrations.