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MARGO

5 days ago

Senior Linux / HPC Infrastructure Engineer (SRE)

  • Paris
  • Full Time
  • Senior
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Company information

Company
MARGO
Location
Paris Germany
Posted
5 days ago
View all jobs at MARGO

Job description

We are looking for an experienced Linux/SRE engineer for the team responsible for maintaining and developing HPC infrastructure and GPU clusters used for AI. We work on physical servers, with Linux, Data Center networks, and NVIDIA technologies. We automate a lot, use Ansible, Python, Bash, and Git. This is not a typical cloud-focused DevOps job focused on application deployment. Here, significantly more time is spent working with infrastructure, diagnosing problems, and ensuring environment stability. Nice to have
  • Experience with HPC, compute clusters, or GPU infrastructure.
  • Knowledge of NVIDIA technologies (Cumulus, DCGM, NCCL, NHC, NVIDIA Container Toolkit).
  • Knowledge of InfiniBand, RDMA, SLURM.
  • Experience with Prometheus, Grafana, GitLab CI/CD.
  • Experience with distributed and clustered file systems (Lustre, Ceph).
Who you are (Soft Skills)?
  • You can approach a problem independently and are not afraid to seek solutions.
  • You enjoy collaborating with others and can clearly communicate what you are doing.
  • You take responsibility for your work and for changes introduced in production.
  • You are eager to automate repetitive tasks.
  • You have no problem asking for help or sharing your own knowledge.
Work Organization
  • Approximately a 10-person team divided into an operational part (SRE) and a project part.
  • Working hours 8:00 AM – 6:00 PM, with a two-hour break.
  • Work on Linux or macOS.
  • Scrum, regular meetings, and a lot of direct communication within the team.
  • Currently without night and weekend duty, but a rotational on-call system is planned for the future.
What we offer?
  • Work with large GPU clusters and AI/HPC infrastructure.
  • A lot of autonomy and real influence on how the infrastructure works.
  • Direct collaboration with experienced engineers and the Tech Lead.
  • Opportunity to learn and develop in HPC/AI GPU technologies.
  • Short decision-making path, without unnecessary formalities.

Required skills

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