MacOS CI/CD Engineer - Automation & Reliability

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

Benefits offered by this job

Competitive compensation

Generous PTO and holidays

Parental leave programs

Job summary

CrowdStrike in Maine is seeking a software engineer to join our global TechOps CI/CD SDA team, designing and building scalable CI/CD pipelines for MacOS apps used by millions of customers worldwide.

You will focus on pipeline reliability, developer experience, and automation at enterprise scale, collaborating across cross-functional teams to raise quality, embrace security, and leverage AI-driven workflows to accelerate delivery.

Qualifications

• U.S. citizen or permanent resident required.
• MacOS CI/CD environment experience including Swift/Xcode basics is a plus.
• Strong coding abilities in an OO language (Python/Java/Go).
• 8–12 years of DevOps experience with a focus on software development.
• Hands-on CI/CD expertise (Jenkins, GitLab CI, GitHub Actions).
• Containerization experience with Docker and Kubernetes.
• Knowledge of AWS, Google Cloud, or Azure architectures.
• Experience applying AI to improve workflows and decision-making.

Responsibilities

• Design and build scalable CI/CD pipelines and IaC for MacOS apps.
• Create self-service MacOS tooling within CI/CD to reduce developer toil.
• Improve reliability and implement monitoring and automated remediation for services.
• Collaborate with engineering teams to share best practices and guidance.

Skills

CI/CD

DevOps

Python

Java

Go

Git

Docker

Kubernetes

AWS

AI in workflows

Tools

Jenkins

GitLab CI

GitHub Actions

Docker

Kubernetes

Terraform

Job description

CrowdStrike in Maine is seeking a software engineer to join our global TechOps CI/CD SDA team, designing and building scalable CI/CD pipelines for MacOS apps used by millions of customers worldwide.

You will focus on pipeline reliability, developer experience, and automation at enterprise scale, collaborating across cross-functional teams to raise quality, embrace security, and leverage AI-driven workflows to accelerate delivery.