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DevOps & Infrastructure Engineer

LUXUAV · Luxembourg

Nouveau
🇬🇧 English
Kubernetes Docker GitLab Helm Kustomize GitOps MLOps GPU clusters Network segmentation RBAC SAST scanners High availability Backup/restore

Description du poste

About the role

We are looking for a hands‑on DevOps & Infrastructure Engineer to own the full stack that powers our engineering organisation. You will design, build, deploy and operate everything from physical rack layouts to Kubernetes clusters, CI/CD pipelines, MLOps platforms and the security controls that bind them together.

Key responsibilities

  • Design the complete infrastructure stack, including service topology, network segmentation, trust zones, rack layouts, power, cooling and cabling.
  • Manage hardware lifecycle from specification and procurement to deployment, maintenance and decommissioning.
  • Size and deploy on‑prem and hybrid compute environments for GPU clusters, tiered storage, analytics tools and local LLM deployment.
  • Operate self‑hosted engineering tooling such as GitLab, artifact repositories, SAST scanners and documentation platforms, ensuring high availability and backup.
  • Build and maintain the MLOps lifecycle stack: experiment tracking, model registries, GPU‑scheduled training orchestration, dataset versioning and model serving pipelines.
  • Design, operate and secure the container platform (Docker, private registries, Kubernetes) using Helm/Kustomize and GitOps‑driven delivery.
  • Architect CI/CD pipelines and ensure reproducibility and auditability from data ingestion to edge deployment.

Required profile

  • Proven experience designing and operating complex, defence‑grade infrastructure.
  • Strong understanding of hardware provisioning, capacity planning and hybrid cloud environments.
  • Ability to work closely with embedded engineers, ML researchers, flight‑software developers and data analysts.

Required skills

  • Kubernetes
  • Docker
  • GitLab (SCM, CI/CD, registries)
  • Helm & Kustomize
  • GitOps
  • MLOps tools (experiment tracking, model registries, dataset versioning)
  • GPU clusters and ML training orchestration
  • Network segmentation, RBAC, network policies
  • SAST scanners, artifact repositories
  • High‑availability design, backup/restore processes

What we offer

  • Opportunity to shape the infrastructure of a next‑generation autonomous‑systems company.
  • Access to cutting‑edge hardware and cloud resources.
  • Collaborative environment focused on reliability and long‑term capability.

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LUXUAV

Luxembourg