macOS Automation Platform & Cloud Build Engineer

MDAEdge; Columbus (OH); On-site; USD 73,696 - 96,256; Full time

Job summary

MDAEdge is seeking a macOS Automation Platform & Cloud Build Engineer to design, build, and optimize cloud infrastructure, CI/CD pipelines, and automation workflows in Columbus, OH. This role supports enterprise macOS software packaging and large-scale distribution.

Responsibilities include provisioning AWS EC2 Mac infrastructure with Terraform, designing robust CI/CD pipelines, integrating Workspace ONE APIs for package distribution, and ensuring secure credential management, artifact storage,

Qualifications

• Experience with Terraform and IaC principles.
• Provisioning and management of AWS EC2 Mac environments.
• Building and maintaining enterprise-grade CI/CD pipelines.
• Strong ability to integrate enterprise platforms via REST APIs.
• Working knowledge of Workspace ONE APIs and modern deployment workflows.
• Advanced Git/GitHub usage: branching, PRs and code reviews.
• Native or bilingual proficiency in English.

Responsibilities

• Design, build, and optimize cloud infrastructure and automation workflows.
• Maintain and scale AWS EC2 Mac environments.
• Develop and maintain robust CI/CD pipelines for packaging and deployment.
• Integrate Workspace ONE APIs to automate distribution workflows.
• Implement credential management, artifact storage, and compliance controls.
• Add observability, logging, and monitoring to pipelines.
• Collaborate with engineering, security, and platform operations teams.

Skills

Terraform

IaC

AWS EC2 Mac

CI/CD pipelines

REST APIs

Git/GitHub

English

Tools

AutoPkg

Python

GitHub

Terraform

Job description

Position Overview: We are seeking a highly skilled macOS Automation Platform & Cloud Build Engineer to design, build, and optimize cloud infrastructure, CI/CD pipelines, and automation workflows. This role is critical in supporting enterprise-level macOS software packaging and large-scale distribution.
Key Responsibilities:

• Provision, manage, and scale AWS EC2 Mac infrastructure utilizing Terraform.
• Design, maintain, and optimize robust CI/CD pipelines for automated software packaging and enterprise deployment.
• Integrate Workspace ONE APIs to seamlessly automate package distribution workflows.
• Implement stringent secure credential management, artifact storage, and compliance controls.
• Build comprehensive observability, logging, and monitoring mechanisms into all automation pipelines.
• Collaborate cross-functionally with engineering, security, and platform operations teams to continuously refine deployment processes.
• Maintain infrastructure and automation code using Git and established code review practices.
• Evaluate and implement AI-assisted automation to drive operational efficiency and modernization.

Required Qualifications:

• Extensive experience with Terraform and Infrastructure as Code (IaC) principles.
• Proven expertise in provisioning and managing AWS EC2 Mac environments.
• Demonstrated success in building and maintaining enterprise-grade CI/CD pipelines.
• Strong capability in integrating enterprise platforms leveraging REST APIs.
• Working knowledge of Workspace ONE APIs and modern application deployment workflows.
• Advanced proficiency with Git and GitHub, encompassing branching, pull requests, and rigorous code reviews.
• Excellent cross-functional collaboration and communication skills.
• Native or bilingual proficiency in English.

Desired Qualifications:

• Hands-on experience with AutoPkg.
• Proficiency in Python development for automation and complex integrations.
• Familiarity with AI-assisted development or agentic automation frameworks.
• Background in web application development.
• Experience architecting and designing modern API interfaces.

Position Details:

• Locations: Columbus, OH; New York, NY; or Jersey City, NJ (requires onsite presence in Columbus, OH, five days per week).
• Compensation: $73,696 - $96,256 USD annually (or $70.00 - $80.00 /W-2 hourly).
• Work Arrangement: Permanent direct hire, full-time (40 hours/week).
• Interview Process: Phone/video screening followed by an in-person interview.