MacOS CI/CD Engineer — DevOps, IaC & Automation

CrowdStrike; Alabama; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity grants

Wellness programs

Paid time off

Professional development

Employee networks

Job summary

CrowdStrike is seeking an experienced DevOps-focused engineer to design scalable CI/CD pipelines and IaC for MacOS applications, while improving developer experience with self-service tools. The role emphasizes reliability, collaboration across teams and hands-on containerization with Docker and Kubernetes in cloud environments.

Ideal candidates have 8–12 years of DevOps experience, strong OOP language skills, and a track record of applying AI to optimize workflows in enterprise settings.

Qualifications

• U.S. citizenship or permanent residency required.
• MacOS administration & CI/CD dependencies: Swift, Xcode, and MacOS packaging.
• Proficient in an OOP language (Python, Java, Groovy, Go).
• 8–12 years of DevOps with software delivery focus.
• Hands-on Jenkins, GitLab CI, GitHub Actions in an enterprise environment.
• Docker and Kubernetes production experience.
• Cloud services: AWS, GCP, or Azure.
• Advanced Git workflows and branching (Bitbucket/Gitlab).
• Experience applying AI to improve workflows and outcomes.

Responsibilities

• Design & Build scalable CI/CD pipelines and IaC for MacOS apps.
• Developer Experience: create self-service CI/CD tools to reduce toil and accelerate delivery.
• Reliability Engineering: implement monitoring, alerting, and automated remediation.
• Collaboration: partner with engineering teams to share best practices and guidance.

Skills

OOP languages

Python

Java

Groovy

Go

Tools

Jenkins

GitLab CI

GitHub Actions

Docker

Kubernetes

Cloud platforms

Job description

CrowdStrike is seeking an experienced DevOps-focused engineer to design scalable CI/CD pipelines and IaC for MacOS applications, while improving developer experience with self-service tools. The role emphasizes reliability, collaboration across teams and hands-on containerization with Docker and Kubernetes in cloud environments.

Ideal candidates have 8–12 years of DevOps experience, strong OOP language skills, and a track record of applying AI to optimize workflows in enterprise settings.