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As of Aug 16, 2026, the average yearly pay for mac engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

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Mac Engineer jobs near you
A map of the United States highlighting the number of Mac Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Mac Engineer job openings in each state, with California having the most at 2 and Alaska the least at 0.

Mac OS Cloud Software Automation Engineer

Accord Technologies Inc.

Columbus, OH • On-site

Contractor

Posted 19 days ago

Job description

Job Title: Mac OS Cloud Software Automation Engineer

Location: Onsite 5 days a week in Columbus, OH

Duration: 12+ Months Contract

Job Summary:

Client is 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