Arm

Dev Ops Engineer - Machine Learning

Arm
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2 days ago
Galway, IrelandMid Level

Responsibilities

  • Partner with Machine Learning software teams to understand development and infrastructure needs and support DevOps adoption.
  • Develop and maintain hybrid Windows, Linux, macOS, and Android infrastructure, automation, and support services.
  • Support multi-cloud enablement and manage board-farm infrastructure for ML software development and testing.
  • Improve CI/CD workflows, containerized environments, and operational documentation.
  • Investigate infrastructure and tooling issues, communicate findings, and contribute practical solutions.
  • Deploy, monitor, and troubleshoot physical devices including silicon boards and mobile handsets.

Requirements

  • Practical experience working with Linux systems and supporting engineering infrastructure.
  • Understanding of DevOps principles and their role in reliable software delivery.
  • Ability to write and maintain automation scripts using Bash, Python, or a similar scripting language.
  • Experience with CI/CD or containerization technologies such as Docker or Kubernetes.
  • Ability to collaborate clearly with technical colleagues.
  • Preferred: experience building or maintaining CI/CD software workflows; interest in computer architecture, compilers, or operating systems; low-level programming or debugging experience; and open-source or personal technology projects.

Benefits

  • Collaborative environment with opportunities to contribute ideas, learn, share knowledge, and develop DevOps expertise.
  • Hybrid working arrangements determined by the team, with role-specific details provided during the application process.

Tech Stack

Categories

Arm

About Arm

5,001-10,000 employees

Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm. Arm is everywhere technology matters. Technology matters everywhere. Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond. Changing the world. Again. On Arm.

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