Mac OS Cloud Software Automation Engineer- Onsite

Columbus, OH, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
On-site
$70-85/hr
Fitment

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Job Details

Skills

  • SaaS
  • Migration
  • Cloud Computing
  • ProVision
  • Lifecycle Management
  • Promotions
  • Issue Resolution
  • OS X
  • Interfaces
  • Distribution
  • Change Control
  • Provisioning
  • Management
  • Authentication
  • Software Distribution
  • Code Review
  • Collaboration
  • Regulatory Compliance
  • Artificial Intelligence
  • Orchestration
  • Workflow
  • Web Development
  • API
  • Interface Design
  • Web Portals
  • Terraform
  • Amazon Web Services
  • Amazon EC2
  • Continuous Integration
  • Continuous Delivery
  • Git
  • GitHub
  • Python

Summary

Responsibilities
Mac OS Cloud Software Automation Engineer
Location: Onsite 5 days a week in Columbus, OH

Position Overview:
Seeking a macOS Automation Platform and Cloud Build Engineer to build the infrastructure, pipeline automation, and device management integrations that power scalable macOS packaging and distribution. This role is weighted toward Phase 2 delivery, including migrating AutoPkg execution to cloud based builds on AWS EC2 Mac instances orchestrated with Terraform, and integrating automated distribution and telemetry workflows using Workspace ONE APIs and Omnissa Intelligence.

Responsibilities:
Provision and manage AWS EC2 Mac build infrastructure using Terraform, including repeatable environments, configuration standards, and lifecycle management
Design and implement CI and CD pipelines that integrate packaging build steps, security scanning, compliance validation, and artifact promotion with deterministic and auditable automation
Integrate with Workspace ONE APIs to automate package upload, ring based deployment, and telemetry consumption via Omnissa Intelligence
Establish secure handling of credentials, secrets, signing materials, and build artifacts with traceability and compliance in mind
Implement pipeline observability, logging, and failure handling patterns that support reliable operations and fast issue resolution
Collaborate with macOS packaging engineers, security teams, and platform stakeholders to define interfaces between build systems, compliance gates, and distribution services
Maintain all infrastructure code, pipeline definitions, and integration code in GitHub with strong code review and change control practices
Apply AI assisted and agentic automation approaches where appropriate to reduce toil and improve delivery speed while maintaining auditability

Qualifications:
Required
Experience with Infrastructure as Code using Terraform, specifically for provisioning and managing AWS EC2 Mac instances
Proven ability to build CI and CD pipelines that replace manual handoffs with deterministic and auditable automation
Experience integrating enterprise platforms via APIs, including authentication patterns, error handling, and operational telemetry
Familiarity with Workspace ONE APIs for application distribution workflows, including package upload and deployment concepts
Strong Git and GitHub workflow discipline, including branching strategies, pull requests, and code review participation
Ability to work across engineering, security, and operations stakeholders to deliver secure and reliable platform capabilities

Preferred
Understanding of AutoPkg execution patterns and how AutoPkg workflows interact with build systems and artifact repositories
Python proficiency for pipeline tooling and integrations, including custom validation steps and compliance gating
AI or agentic development proficiency, especially for automation orchestration, workflow agents, and operational assistant patterns
Web application development experience and modern API interface design to support later phase portal enablement

Tools and Technologies:
Terraform
AWS, including EC2 Mac
CI and CD pipeline tooling and automation frameworks
Workspace ONE APIs and Omnissa Intelligence
Git and GitHub
Python, preferred for integration and automation tooling
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxbcsi
  • Position Id: Job44811
  • Posted 4 hours ago
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