About the role

Role Overview

As an AI Infrastructure & Platform Operations Engineer, you’ll join a dedicated team responsible for operating and supporting production AI infrastructure platforms. The work focuses on NVIDIA GPU-accelerated environments, high-performance networking, and Kubernetes-based platforms, ensuring reliability and continuous improvement of operations.

Key Missions

Monitor, operate, and support production AI infrastructure platforms, including NVIDIA GPU infrastructure and Kubernetes environments.
Investigate and resolve incidents across infrastructure, networking, hardware, and platform layers.
Collaborate with engineering teams and vendors to drive effective troubleshooting and resolution.
Improve monitoring and observability, automation, and operational processes.
Maintain operational documentation and contribute to operational runbooks and best practices.

Requirements

Strong Linux administration and troubleshooting skills.
Demonstrated analytical and problem-solving abilities.
Experience supporting production infrastructure and services.
Familiarity with structured operational and incident management processes.
Good understanding of networking concepts, with ability to diagnose infrastructure issues.
Excellent communication and collaboration skills.
3+ years in infrastructure operations, platform operations, network operations, SRE, cloud operations, datacenter operations, or related roles.
Ability to work in a shift-based operational environment.
Working knowledge of Kubernetes in production.

Nice-to-Haves / Additional Expertise

NVIDIA GPU infrastructure and accelerated computing platforms.
InfiniBand networking and NVIDIA UFM.
Observability tools/platforms such as Grafana, Prometheus, ELK, OpenTelemetry.
Experience with AI infrastructure and/or HPC environments.
SRE/Platform Engineering background.
Infrastructure automation and Infrastructure-as-Code (IaC) practices.
Experience with large-scale distributed systems and production platforms.

About Mirantis

Mirantis is a technology company focused on enterprise cloud infrastructure and Kubernetes-based platforms. It helps organizations build, run, and operate large-scale cloud and container environments, including mission-critical infrastructure for modern workloads. The role here is centered on operating and improving production AI infrastructure ecosystems.