Jobs at Mirantis

Design, deploy, and maintain high-performance HPC network fabrics (InfiniBand/RoCE), troubleshoot complex latency/throughput issues, manage Fortinet security solutions, tune and monitor network performance, collaborate with compute/storage teams, document architectures, participate in on-call rotations, and support large-scale GPU/AI clusters and incident triage.

Lead technical pre-sales engagements across French-speaking Europe: discover customer needs, design Kubernetes-based AI infrastructure using Mirantis k0rdent, run POCs, deliver demos/workshops, and influence product and go-to-market strategy through cross-functional collaboration.

Design, deploy, and operate cloud-native AI infrastructure on Kubernetes and NVIDIA-certified hardware. Troubleshoot performance, storage, and networking issues, implement CI/CD and automation, collaborate with global teams, mentor customers, and ensure secure, scalable production deployments.

Design, deploy, and operate cloud-based AI infrastructure on Kubernetes and NVIDIA hardware. Troubleshoot performance, networking, and storage issues; implement CI/CD and AI-driven automation; mentor teams and transfer knowledge to customers while collaborating with distributed stakeholders.

Designs, deploys, configures, and maintains InfiniBand and Ethernet networks for AI/HPC infrastructure. Troubleshoots connectivity, latency, routing, and performance issues; optimizes HCAs, switches, and fabrics; implements network security (FortiGate, VPNs); monitors and tunes performance; collaborates with compute/storage teams; participates in incident response and on-call rotations; documents architectures and automates workflows with Ansible/Terraform.

Manage and operate production AI infrastructure (Kubernetes-based) including incident response, troubleshooting across bare-metal/cloud, root cause analysis, documentation, and collaborating with a global team to ensure continuous operational coverage.

Provide on-site IT support at Mirantis HQ in Campbell, CA: troubleshoot hardware/software, provision devices, manage onboarding/offboarding, support conference room AV, track assets, assist executives, act as local remote-hands, and maintain documentation while collaborating with a distributed IT team.

The Principal DevOps Engineer will design and optimize infrastructures and CI/CD pipelines, mentor junior staff, and implement automation strategies. Responsibilities include managing Kubernetes clusters and collaborating with teams to ensure high performance and security.

Provide solutions architecture and technical guidance to enterprise customers for Mirantis Kubernetes Engine. Lead POCs and pilots, enable partners, develop best-practice assets, and advocate customer needs across Sales, Product, and Engineering throughout the sales and post-sales lifecycle.

Own the technical relationship for a small set of strategic enterprise accounts, deeply understand customer platforms and roadmaps, drive product integration and adoption, run architecture and health cadences, accelerate support resolutions, and advocate customer needs into product and engineering. Collaborate with account teams and contribute reusable reference architectures and best practices. Travel to customer sites ~20-30%.

Manage day-to-day health of Mirantis webstore and cloud marketplace listings, coordinate product onboarding and private offers, run project tracking and UAT, document requirements and SOPs, build reports/dashboards, and drive AI-first process automation across eCommerce integrations and fulfillment.

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 and implement infrastructure services for a GPU-as-a-Service control plane: versioned REST/gRPC APIs, provisioning workflows for bare-metal servers, reconciliation loops, and reliability guarantees for long-running operations.

Lead cross-functional strategic programs for Mirantis' k0rdent AI control plane, driving initiatives from concept through delivery. Align R&D, engineering, product, and sales on scope, resourcing, milestones, and risks. Present status and recommendations to executives, manage dependencies and reporting cadence, and improve program lifecycle processes and templates across the organization.

Lead operations for large-scale AI infrastructure: troubleshoot Linux, Kubernetes, GPU, networking, and storage incidents; drive reliability, root-cause analysis, automation, observability, and operational standards; mentor engineers and collaborate with vendors and datacenter teams.

Operate and support large-scale AI infrastructure: monitor production GPU-backed Kubernetes platforms, troubleshoot infrastructure, networking and hardware incidents, participate in incident response and RCA, improve observability and automation, and maintain runbooks and operational documentation.

Operate and support large-scale AI infrastructure across datacenters: monitor production GPU-backed Kubernetes platforms, troubleshoot hardware, networking and platform incidents, participate in incident response and RCA, improve observability and automation, and maintain operational runbooks.

Operate, troubleshoot, and maintain InfiniBand and Ethernet networks for HPC/AI infrastructure. Support Fortinet firewall and VPN configurations, monitor network performance, collaborate with compute and storage teams, participate in incident response, document procedures, and adopt automation (Ansible, scripting) while developing expertise in RDMA, MPI, and HPC networking.