Jobs at Mirantis

Design and implement control-plane services, CSI drivers, and tooling to provision and operate high-performance storage for Kubernetes-based GPU/AI workloads. Integrate enterprise and scale-out storage (e.g., PowerScale, VAST), deliver IaC and GitOps pipelines, build observability for data-path performance, and support hybrid, bare-metal, and air-gapped deployments.

Design and build infrastructure services and APIs that manage bare-metal GPU servers and multi-tenant Kubernetes clusters. Implement provisioning workflows, reconciliation loops, and consoles to visualize inventory and provisioning state while ensuring reliability, idempotency, and durable long-running operation handling.

Operate and automate high-performance NFS/NAS storage for GPU-accelerated Kubernetes clusters. Integrate storage via CSI, tune NFS/RDMA data paths, provision bare-metal hosts, support air-gapped deployments, automate with Terraform/OpenTofu and GitOps (ArgoCD/Flux), build observability, and diagnose performance and reliability at scale.

Design, deploy, and maintain high-performance InfiniBand and Ethernet networks for HPC environments. Troubleshoot fabrics, optimize performance and capacity, implement Fortinet security, collaborate with compute/storage teams, document architectures, participate in on-call rotations, and lead upgrades and migrations.

Own the networking vision and roadmap for k0rdent AI, defining underlay/overlay fabrics, RDMA, DNS/IPAM, network automation, and DPU/SmartNIC integration. Translate customer and engineering requirements into priorities, track emerging interconnect standards, and support positioning, field engagements, and reference architectures.

Design, deploy, manage, and troubleshoot high-performance InfiniBand and Ethernet networks for HPC. Perform performance tuning, capacity planning, and monitoring. Implement Fortinet security, resolve routing/switching/latency issues, collaborate with compute and storage teams, document architectures, and participate in on-call escalation and upgrades.

Lead operations for large-scale AI infrastructure: manage NVIDIA GPU and high-performance networking environments, troubleshoot Linux/Kubernetes/storage/hardware issues, drive incident response and root cause analysis, improve observability and automation, mentor engineers, and collaborate with engineering and datacenter teams to ensure platform reliability and scalability.

Develop positioning and messaging for Mirantis AI infrastructure products; translate technical capabilities into audience-specific content; own competitive intelligence; create technical assets (white papers, briefs, reference architectures, sales enablement); support GTM, launches, analyst/media briefings, and industry representation.

Operate and support production AI infrastructure across global datacenters, focusing on high-performance NVIDIA GPU platforms, Kubernetes, and high-speed networking. Monitor and troubleshoot infrastructure, network, hardware, and platform incidents; participate in incident response and root cause analysis; improve observability, automation, and operational runbooks.