Linux Infrastructure Engineer (Bare Metal, Storage & AI Factory Infrastructure)

Uvation; Rondônia; Presencial; BRL 350 000 - 520 000; Tempo integral

Resumo da oferta

Uvation is seeking a Senior Linux Infrastructure Engineer in Rondônia to design, deploy, operate, and troubleshoot large-scale Linux environments for traditional workloads and AI/ML use cases. The role emphasizes hands-on BMaaS, GPU infrastructure, and enterprise storage with HPC-scale performance.

The ideal candidate will lead hardware-level deployment, manage GPU clusters, and ensure fault-tolerant operations in demanding data-center settings, collaborating with storage and networking teams to

Qualificações

• Extensive hands-on experience with bare metal infrastructure and BMaaS.
• Proven track record delivering enterprise Linux platforms at scale.
• Experience with high-performance storage and AI factory platforms.

Responsabilidades

• Design, deploy, and operate large-scale Linux infrastructure.
• Manage BMaaS platforms and GPU clusters.
• Administer Ceph storage and high-performance AI storage systems.
• Ensure reliability, uptime, and operational excellence.
• Collaborate with data-center operations and networking teams.

Conhecimentos

Linux administration

BMaaS

GPU infrastructure

Ceph storage

HPC networking

NVIDIA GPUs

Scripting (Bash/Python)

Enterprise storage

Ferramentas

Ceph

NVIDIA GPUs

KVM/VMware

Prometheus/Grafana

Descrição da oferta de emprego

Job Overview

We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.

This is not a DevOps-focused role. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms.

The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.

Key Responsibilities & Required Skills

Linux & Bare Metal Infrastructure

• Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
• Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management
• Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments
• Strong understanding of server hardware, including:
  • BIOS/UEFI
  • RAID controllers
  • Firmware management
  • iLO/iDRAC/IPMI
  • NICs and SmartNICs
  • HBA cards
  • Hardware diagnostics and troubleshooting
• Experience designing, implementing, and supporting enterprise Linux infrastructure at scale

AI Factory & GPU Infrastructure

• Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads
• Understanding of NVIDIA GPU technologies including:
  • A100, H100, H200, B200, or equivalent GPU platforms
  • NVIDIA DGX and OEM GPU servers
  • GPU provisioning and lifecycle management
  • GPU monitoring and performance optimization
• Knowledge of AI Factory architecture and infrastructure requirements
• Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
• Understanding of:
  • GPU resource allocation and scheduling
  • Multi-GPU systems
  • GPU networking requirements
  • High-bandwidth, low-latency infrastructure design
• Familiarity with NVIDIA ecosystem technologies such as:
  • CUDA
  • NCCL
  • GPUDirect Storage
  • NVIDIA Fabric Manager
  • NVIDIA Base Command (preferred)

Enterprise Storage & Data Platforms

• Advanced Linux storage administration:
  • LVM
  • XFS, EXT4
  • NFS
  • iSCSI
  • Fibre Channel SAN
  • Multipath I/O
• Strong hands-on experience with Ceph, including:
  • Cluster architecture
  • MON, OSD, MDS
  • RBD, CephFS, RGW
  • Capacity planning
  • Performance tuning
  • Failure recovery
• Experience with high-performance AI storage platforms such as:
  • WEKA
  • VAST Data
  • Dell PowerScale
  • Pure Storage FlashBlade
  • NetApp
• Understanding of:
  • NVMe-over-Fabrics (NVMe-oF)
  • RDMA
  • GPUDirect Storage
  • Parallel file systems
  • AI data pipelines

Networking & Infrastructure

• Strong networking knowledge:
  • Bonding
  • VLANs
  • Routing
  • MTU optimization
  • DNS
  • DHCP
• Experience with high-performance data center networking:
  • 100G/200G/400G Ethernet
  • RoCE
  • RDMA
  • Spine-Leaf architectures
• Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
• Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting

Operations & Reliability

• Experience with high availability, clustering, and disaster recovery
• Strong troubleshooting skills across:
  • Linux operating systems
  • Hardware platforms
  • GPU infrastructure
  • Networking
  • Enterprise storage
• Experience supporting mission-critical production environments
• Bash and Python scripting for automation and operational efficiency
• Experience creating operational documentation, runbooks, and infrastructure standards

Nice to Have

• Kubernetes infrastructure (especially AI/ML and GPU integration)
• KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
• Ansible automation
• NVIDIA Base Command Manager
• Slurm or HPC workload schedulers
• Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
• Data Center Infrastructure Management (DCIM) tools
• IPAM solutions
• AWS, Azure, or hybrid cloud exposure

We Are Not Looking For

• Candidates whose experience is primarily CI/CD pipeline engineering
• Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
• Cloud-only administrators with limited bare metal, storage, or hardware experience
• Professionals whose primary expertise is software development rather than infrastructure engineering

Ideal Candidate

Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.