ML DevOps Engineer: Hybrid Cloud & CI/CD

ARM; Galway; Hybrid; EUR 65,000 - 95,000; Full time

Job summary

ARM is seeking a Machine Learning DevOps professional to help ML software teams adopt DevOps practices and to support infrastructure for software development. You will contribute to hybrid, cross-platform infrastructure, automation and cloud enablement, working with a team focused on enabling scalable ML workflows.

You will develop and maintain automation, CI/CD pipelines and containerised environments, while helping manage a pool of physical devices and documenting best practices for the

Qualifications

• Practical experience with Linux systems and supporting engineering infrastructure.
• Understanding of DevOps principles and how they support reliable software delivery.
• Ability to write and maintain automation scripts using Bash, Python or a similar language.
• Experience with CI/CD or containerisation technologies (Docker/Kubernetes).

Responsibilities

• Partner with ML software teams to understand development and infrastructure needs and support DevOps adoption.
• Develop and maintain hybrid (Windows, Linux, MacOS, Android) infrastructure, automation and support services.
• Support multi-cloud enablement activities and board farm management for ML development and testing.
• Improve CI/CD workflows, containerised environments and operational documentation.
• Investigate infrastructure issues and communicate findings with practical solutions.
• Deploy, monitor and troubleshoot a pool of physical devices.

Skills

Linux systems

DevOps principles

Automation scripting

CI/CD

Tools

Docker

Kubernetes

Job description

ARM is seeking a Machine Learning DevOps professional to help ML software teams adopt DevOps practices and to support infrastructure for software development. You will contribute to hybrid, cross-platform infrastructure, automation and cloud enablement, working with a team focused on enabling scalable ML workflows.

You will develop and maintain automation, CI/CD pipelines and containerised environments, while helping manage a pool of physical devices and documenting best practices for the