AI Infrastructure Engineer

About this role

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 hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with ...