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Generative media platform for developers.
The Role
The Senior/Staff Infrastructure Engineer designs and maintains tools for managing GPU servers, automating health checks, and optimizing system performance while driving resolutions for technical issues.
Summary Generated by Built In
You are a hands-on engineer who builds the software and processes that keep a large fleet of GPU servers healthy and productive. You write systems and tooling for managing 1000s of servers including provisioning, health monitoring, error detection, and recovery — and when something breaks that automation can’t fix, you drive resolution with partners.
Key responsibilities- Build and maintain Python fleet tracking system that manages the full lifecycle of servers including contracting and procurement, target use, pricing, availability, health, RMAs, etc
- Build server management tooling that automates provisioning, health checks, GPU diagnostics, recovery and alerting
- Create and maintain metrics, dashboards, and alerting for hardware health across the fleet (GPU errors, disk failures, network issues, thermals)
- Leverage AI to an extreme level to build tools and automate alerting and recovery
- Implement and enforce OS-level security: hardening baselines, SELinux/AppArmor policies, SSH key management, vulnerability scanning, and compliance automation
- Manage and optimize distributed and local storage systems supporting model weights, checkpoints, and ephemeral scratch: NVMe arrays, NFS, parallel file systems, and object storage
- Tune Linux systems for AI workloads: kernel parameters, NUMA topology, CPU pinning, hugepages, I/O schedulers, and GPU driver stack optimization (NVIDIA drivers, CUDA, container runtimes)
- Develop a suite of automated error detection and recovery processes
- Work with partners to solve technical issues
- 5+ years experience managing bare-metal and VM server fleets at scale (100+ nodes)
- Strong software engineering skills in Python; you write production tooling, not scripts
- Deep Linux systems knowledge: boot process, kernel tuning, networking, storage, systemd, cgroups, namespaces, performance profiling
- Strong experience with configuration management and infrastructure-as-code: Ansible, Terraform, cloud-init
- Solid understanding of storage technologies: LVM, RAID, NVMe, NFS, Lustre or GPFS, and Linux I/O stack tuning
- Familiarity with hardware diagnostics and failure modes (GPUs, NVMe, NICs, memory)
- Experience building internal tools or dashboards for infrastructure visibility
- Excellent communication and ability to drive technical decisions across teams
- Self-starter who executes quickly, takes ownership, and constantly seeks improvement
- Familiarity with network configuration and diagnostics (VLAN, VXLAN, ECMP, BGP, tcpdump)
- Experience with NVIDIA GPU infrastructure: driver management, health monitoring, DCGM, NVLink/NVSwitch diagnostics, RDMA, InfiniBand/RoCEv2
- Experience with AMD GPUs
- Experience with bare metal and VM provisioning (PXE/iPXE, Kickstart, libvirt, Qemu/KVM)
- Experience with compliance frameworks relevant to cloud providers (SOC 2, ISO 27001)
Turkey
- Interesting and challenging work
- A lot of learning and growth opportunities
- Regular team events and offsites
Top Skills
Ansible
Cuda
Docker
Gpfs
Lustre
Nfs
Nvme
Python
Terraform
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The Company
What We Do
Generative Media Cloud
