Job Description:

Arm’s Global Engineering Storage team supports large-scale storage services used by engineering and HPC teams across on-premises and cloud environments.

The team has deep storage expertise. This role adds capability in DevOps, automation, IaC, observability, and Linux operations.

In this role, you will help make storage services easier to run at scale. The focus is on reducing manual work, improving tooling, creating repeatable patterns, and helping storage engineers turn operational knowledge into reliable automation. Storage experience is helpful, but the main need is practical DevOps engineering, automation, and Linux administration experience.

This is a great opportunity to work on platforms that support Arm’s global engineering teams!

Responsibilities:

You will build automation and tooling that supports large-scale storage operations. This includes creating repeatable infrastructure patterns, improving operational workflows, and helping reduce manual intervention across the storage estate.

You will use technologies such as Terraform, Ansible, Python, Git, and monitoring platforms to improve how services are deployed, managed, observed, and supported.

You will support Linux-based infrastructure used by engineering and HPC workloads, including troubleshooting, configuration, patching, filesystem analysis, networking, permissions, package management, and log review.

You will help develop self-service operational workflows through an engineering portal, such as Backstage, making common storage and infrastructure tasks easier for engineering teams to request, track, and consume.

You will work closely with storage, infrastructure, security, and engineering teams to improve reliability, support incident response, investigate root causes, and maintain secure and well-managed systems.

You will also help improve monitoring, alerting, dashboards, documentation, runbooks, and the flow of technical insights. Where useful, you will explore Agentic AI and AI-assisted tooling for anomaly detection, log analysis, triage, reporting, and operational decision support.

Required Skills and Experience:

• Experience with DevOps, infrastructure engineering, SRE, platform engineering, or similar operational practices.
• Linux systems administration knowledge, including solving, filesystems, networking, permissions, processes, patching, package management, and log analysis.
• Experience with Infrastructure as Code or configuration management tools such as Terraform and Ansible.
• Ability to develop automation or tooling using Python or a similar language.
• Experience supporting reliable systems in a production or operational environment.

“Nice To Have” Skills and Experience:

• Exposure to storage platforms, including file, object, or cloud-integrated storage.
• Experience with engineering, EDA, HPC, or large-scale technical computing environments.
• Familiarity with NFS, SMB, object storage, snapshots, replication, backup, or disaster recovery.
• Familiarity with AWS, GCP, or Azure.
• Exposure to CI/CD, Git-based workflows, testing pipelines, or release automation.
• Experience using AI/ML tooling, agent-based workflows, or automation assistants in operations.
• Understanding of identity, access control, secrets management, and security practices.
• Experience with platforms such as LakeFS.

In Return:

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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