Level

Atos

HPC System & Storage Engineer

Atos is hiring an HPC System & Storage Engineer in London, United Kingdom. Level rates it ; you can apply on Atos.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level lists 609 other open roles at Atos.
  • The role was posted within the past two weeks.

AI in this role

Bull is a story. One with a century of European innovation and a working environment where experts design powerful, sustainable, and sovereign digital solutions, enabling states and industries to retain full control over their data and their AI.

 

Bull is also thousands of engineers, researchers and passionate tech people shaping the future of high‑performance computing, AI, and quantum technologies.

 

Every day, our teams push the boundaries of what is technologically possible – from next‑generation HPC architectures to exascale supercomputers – supported by world‑class R&D, more than 1,600 patents, and unique end‑to‑end capabilities spanning hardware design, software engineering, data science and quantum research.

 

We are a people‑centric, innovation‑driven company, where collaboration spans Europe, the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers.

 

Role Overview

We are looking for an HPC System & Storage Engineer to support the deployment, administration, and optimization of large-scale High Performance Computing (HPC) environments.

In this role, you will work with advanced compute, storage, networking, and automation technologies to ensure the performance, reliability, and scalability of complex infrastructure platforms. You will collaborate with international teams and customers, contributing to the successful delivery and operation of cutting-edge HPC solutions.

 

Requirement

  • Must be eligible to obtain the required UK Security Clearance.
  • Comfortable working in a multicultural and international environment.
  • Willingness to travel internationally when required to support customer engagements and project deployments.

 

Key Responsibilities

  • Deploy, configure, and maintain large-scale HPC infrastructure environments.
  • Administer Linux-based systems and ensure their availability, security, and performance.
  • Manage and support enterprise storage platforms and distributed file systems.
  • Support Kubernetes-based platforms and containerized workloads.
  • Automate operational tasks and infrastructure deployments using Ansible and related tools.
  • Monitor system health, performance, and capacity using monitoring and observability solutions.
  • Troubleshoot and resolve complex infrastructure, storage, and networking issues.
  • Support datacenter operations, upgrades, migrations, and technology refresh activities.
  • Collaborate with engineering teams and customers throughout the project lifecycle.
  • Develop and maintain technical documentation, procedures, and best practices.
  • Support customer deployments and production environments.
  • Contribute to continuous improvement initiatives and operational excellence.

 

What You Bring

  • Experience administering Linux environments, preferably Red Hat Enterprise Linux and/or Debian-based distributions.
  • Good understanding of large-scale datacenter, HPC, or cloud infrastructure environments.
  • Knowledge of server hardware architecture and enterprise infrastructure technologies.
  • Experience with distributed and parallel file systems such as Lustre, NFS, or IBM Storage Scale (GPFS).
  • Understanding of storage technologies including RAID, HDD, SSD, NVMe, object storage, and enterprise storage solutions.
  • Familiarity with Kubernetes and container technologies.
  • Experience with automation tools such as Ansible and monitoring solutions such as Grafana.
  • Strong knowledge of Ethernet, TCP/IP networking, and high-performance interconnect technologies such as InfiniBand, Omni-Path, or BX.

 

Nice to Have

  • Experience with enterprise storage solutions such as NetApp or DDN.
  • Knowledge of tape storage technologies, including HPSS.
  • Experience supporting large-scale environments with thousands of compute nodes.
  • Understanding of datacenter facilities, including power, cooling, racks, and cabling.

 

Location

  • United Kingdom

 

Benefits

  • Working on advanced HPC and digital infrastructure projects.
  • Continuous learning and technical skill development.
  • Career growth within a global technology organisation.
  • Participation in internal initiatives and community-focused activities.

#Bull

 

 

 

Here, your ideas, your curiosity and your technical excellence directly shape the next era of advanced computing - unlocking enterprise value, accelerating scientific progress and driving positive impact for society.

How we rate this

HPC System & Storage Engineer at Atos rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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