AI Platform Operations Engineer

Kyndryl hires an AI Platform Operations Engineer to ensure stable production service after handover. The role owns reliability targets, incident and change discipline, lifecycle planning, vendor escalation, and continuous improvement for customer-facing AI platform services.

Responsibilities

• Define service boundaries, SLOs, SLIs, alert severity, on-call integration, escalation paths, and restoration priorities with customer operations
• Operate and troubleshoot GPU, compute, Linux, network fabric, storage, Kubernetes, AI Enterprise, scheduler, registry, and platform services
• Lead incident, problem, change, known-error, service restoration, root-cause, and corrective-action processes
• Own lifecycle calendars for firmware, OS, driver, CUDA, operators, Kubernetes, platform services, security, and AI Enterprise branches
• Develop node cordon, drain, remediation, rebuild, replacement, rollback, and return-to-service procedures
• Coordinate vendor support with complete topology, inventory, logs, diagnostics, reproduction steps, business impact, and change history
• Validate backups and recovery for cluster configuration, Git repositories, registries, certificates, secrets, and platform state where applicable
• Run operational game days and improve availability, MTTD, MTTR, change success, automation coverage, and incident recurrence

Skills

• 5+ years operating Linux, cloud, Kubernetes, HPC, data center, or distributed platforms in production
• Strong incident, problem, change, patching, upgrade, rollback, and vendor-escalation discipline
• Cross-stack troubleshooting and automation experience in business-critical environments
• Operations of DGX/HGX, NVIDIA AI Enterprise, InfiniBand/Spectrum-X, BlueField, BCM, DCGM, Run:ai, or NVIDIA GPU clusters
• NVIDIA lifecycle, diagnostics, support-bundle, and compatibility-management experience
• HPC operations, cloud platform SRE, Kubernetes operations, ML platform operations, or distributed-systems support
• Operations of high-speed fabrics, parallel storage, large bare-metal fleets, or public-cloud GPU services
• Enterprise observability, ITSM, automation, and reliability engineering
• SRE, Kubernetes, Linux, cloud, or NVIDIA credentials

Benefits

• Eligible for Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans.
• Comprehensive benefits package including medical and dental coverage, disability, retirement benefits, paid leave, and paid time off.
• For sales commission eligible roles, participation in a sales commission plan in lieu of the annual discretionary bonus program.
• Partially remote work arrangement.
• Employee learning programs with access to industry learning and certifications, including Microsoft, Google, Amazon, Skillsoft, and more.
• Company-wide volunteering and giving platform to donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.
• Kyndryl Inclusion Networks provide employees with support and advice.

Company Overview

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