AI Infrastructure Engineer
Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
Accountable for building and integrating the compute, network-fabric, and storage layers to the approved design, on schedule and to a repeatable standard. Provides the Deployment Lead with predictable build quality and early visibility of technical blockers.
Key responsibilities
- Configure BIOS/BMC, firmware, Linux or DGX OS, GPU drivers, NIC/HCA/DPU components, time services, DNS, IPAM, management access, and hardware-management integration.
- Implement compute, GPU, NVLink/NVSwitch, InfiniBand or Spectrum-X, Ethernet, storage, and out-of-band connectivity in accordance with the approved design.
- Install and administer NVIDIA Base Command Manager or comparable bare-metal provisioning and cluster-management tooling.
- Implement image management, repeatable node provisioning, configuration drift control, secrets integration, and node replacement workflows.
- Validate RDMA (for example GPUDirect RDMA and GPUDirect Storage), MTU, QoS, PFC/ECN, routing, link health, and fabric telemetry where applicable.
- Integrate high-performance storage and verify bandwidth, latency, multipathing, resiliency, mount, and access requirements.
- Automate builds, checks, diagnostics, evidence capture, and remediation using Ansible, Python, Bash, APIs, Git, and CI/CD.
- Maintain Golden Configuration, as-built records, known issues, support bundles, and handover artifacts.
Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are ...
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