Jobs at Mirantis

Hunt and close new-logo customers among AI cloud, neocloud, GPU-as-a-service, and inference providers. Own the full enterprise sales cycle, build qualified Salesforce pipeline, forecast using MEDDPICC, shape technical evaluations, develop CFO-level business cases, and partner with NVIDIA, OEM, hardware, and channel organizations. The role requires strong AI infrastructure expertise, executive relationships, complex seven-figure deal experience, and the ability to help define go-to-market strategy for k0rdent AI.

Manages front-desk reception, visitor access, calls, mail, documents, office supplies, facilities coordination, employee onboarding logistics, shipments, team lunches, executive meeting support, and monthly expense reconciliation. The role works closely with building management, IT, Accounting, Payroll, HR, and executives while maintaining an organized, well-stocked office in Campbell, California.

Leads and builds a sales engineering and solutions architecture team supporting complex AI/GPU cloud deals. Owns technical discovery, solution architecture, sizing, capacity planning, TCO modeling, POCs, benchmarks, and technical closes for enterprise and strategic customers. Partners with account executives, NVIDIA, product, platform, and capacity teams while developing pre-sales processes, enablement, reference architectures, and win strategies for long-cycle, high-value infrastructure contracts.

Design, build, and operate high-throughput AI lab, datacenter, colocation, corporate, campus, and cloud networks. Responsibilities include switching and routing, network segmentation and security, hardware and cabling support, hybrid connectivity, monitoring, capacity planning, automation, documentation, incident response, and on-call participation. The role requires regular hands-on work at Silicon Valley datacenter facilities and coordination with remote-hands providers elsewhere.

Owns complex, client-facing cloud and AI engagements from pre-sales scoping through delivery and acceptance. Responsibilities include planning, stakeholder coordination, risk and dependency management, client communication, commercial oversight, change orders, vendor management, executive reporting, and identifying follow-on opportunities. The role manages multiple engagements or large multi-workstream programs involving enterprise customers, cloud providers, engineering teams, and third-party vendors.

Owns end-to-end global recruitment for technical, product, business, and go-to-market roles. Responsibilities include direct sourcing, pipeline development, hiring-manager advising, talent-market research, candidate experience management, ATS workflow administration, and independently managing multiple searches across distributed teams and time zones.

Lead an engineering organization building secure enterprise container and Kubernetes platforms. Define technical strategy, improve platform resilience and operational excellence, embed security throughout the SDLC, balance feature delivery with stability, hire and develop engineering talent, and collaborate with product leaders, executives, and enterprise customers.

Design and build Kubernetes-based LLM serving infrastructure, including GPU scheduling, scaling, model lifecycle management, Helm packaging, enterprise and offline deployments, API integrations, and production observability. Develop across a multi-service Go codebase, contribute design documentation and reviews, and help guide engineering direction. The role requires strong Kubernetes, distributed systems, CI/CD, and infrastructure-as-code expertise, with GPU, inference, or adjacent systems experience.

Design and build Go-based storage control-plane services, CSI drivers, integrations, and tooling for Kubernetes AI and compute workloads. Automate storage provisioning using Terraform/OpenTofu and GitOps tools, support hybrid and bare-metal deployments, and develop observability for performance and reliability. Integrate enterprise storage platforms such as Dell PowerScale and VAST across cloud, edge, and air-gapped environments, including K0rdent, Cluster API, Harbor, and PKI/TLS infrastructure.

Provides department-wide technical direction for k0rdent across Kubernetes, AI infrastructure, AI applications, and observability. Designs cross-cutting systems, establishes engineering standards, resolves architectural risks, mentors Staff and Principal engineers, and aligns product strategy with durable technical execution. The role also engages customers, partners, upstream communities, and industry forums while contributing code and prototypes to solve complex infrastructure problems.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.

Own the vision, roadmap, backlog, and priorities for k0rdent AI observability across GPU infrastructure and distributed AI workloads. Define integrations for metrics, tracing, logs, telemetry, and alerting across Kubernetes, networking, storage, schedulers, inference platforms, and databases. Partner with engineering, marketing, field teams, customers, and ecosystem vendors to shape requirements, evaluate trade-offs, develop positioning, and support deployments.

Deploys, integrates, operates, and tunes high-performance NFS storage for Kubernetes, GPU, and AI workloads. Responsibilities include CSI integration, Linux and network optimization, storage lifecycle management, air-gapped platform support, infrastructure-as-code, GitOps automation, observability, and troubleshooting distributed storage performance and reliability across hybrid, edge, and bare-metal environments.

Deploy, integrate, operate, and optimize high-performance NFS storage for GPU-accelerated Kubernetes and AI platforms. Configure Linux storage and networking, integrate CSI storage into k0s and K0rdent clusters, automate provisioning through Terraform/OpenTofu and GitOps, and build observability for capacity, performance, and reliability. Diagnose end-to-end storage issues across hybrid, edge, and air-gapped environments while establishing operational standards.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

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.