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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure & Platform Operations Engineer (remote in the US) - **Company:** Mirantis, Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Cloud Computing, Computer Networks, Data Centers, Distributed Systems, InfiniBand, Linux System Administration, Cisco Nexus Switches, Reliability Engineering, Prometheus, Runbook, AI Infrastructure, Computer Network Operations, High Performance Computing, Grafana, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Hardware Acceleration, Hardware Infrastructure - **Published:** July 17, 2026 - **Apply:** https://jobs.smartrecruiters.com/Mirantis/744000138380407-ai-infrastructure-platform-operations-engineer-remote-in-the-us- ## About the Role * 3+ years of experience in infrastructure operations, platform operations, network operations, site reliability engineering, cloud operations, datacenter operations, or related technical roles. * Strong Linux administration and troubleshooting skills. * Good understanding of networking concepts and experience diagnosing infrastructure-related issues. * Working knowledge of Kubernetes in production environments. * Experience supporting production infrastructure and services. * Strong analytical and problem-solving skills. * Experience working within structured operational and incident management processes. * Excellent communication and collaboration skills. Ability to work within a shift-based operational environment. Preferred Experience Experience in one or more of the following areas is highly desirable: * NVIDIA GPU infrastructure and accelerated computing platforms. * InfiniBand networking and NVIDIA UFM. * Kubernetes platform operations. * AI infrastructure or HPC environments. * Site Reliability Engineering (SRE) or Platform Engineering. * Observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry. * Infrastructure automation technologies and Infrastructure-as-Code practices. * Large-scale distributed systems and production platforms. ## Description Our organization is establishing an Americas-based AI Infrastructure & Platform Operations unit dedicated to the management of expansive AI ecosystems utilizing NVIDIA GPU acceleration, high-speed interconnects, Kubernetes, and bleeding-edge platform frameworks. This team maintains the reliability, efficiency, and architectural integrity of vital AI service platforms across a global datacenter footprint. Positioned at the nexus of core infrastructure and network engineering, you will sustain the high-performance environments essential for contemporary AI application suites. This position offers the chance to engage with pioneering AI hardware while driving the development of automated operational capabilities via the k0rdent AI platform. Responsibilities * Monitor, operate, and support production AI infrastructure platforms. * Investigate and resolve infrastructure, networking, hardware, and platform-related incidents. * Support NVIDIA GPU infrastructure and associated platform services. * Monitor and troubleshoot Kubernetes-based environments. * Investigate performance, availability, and reliability issues across infrastructure and platform components. * Collaborate with engineering teams, hardware vendors, Data Center personnel, and service delivery teams to resolve technical issues. * Participate in incident response, root cause analysis, and operational improvement activities. * Contribute to improvements in monitoring, observability, automation, and operational processes. * Maintain operational documentation, runbooks, and knowledge articles. ## Related Videos - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)