Jobs at Mirantis

Lead go-to-market strategy and technical content for Mirantis’s k0rdent AI infrastructure platform. Develop positioning, blogs, tutorials, solution briefs, case studies, launch kits, and sales enablement assets for technical buyers. Collaborate with engineering, product, sales, and solution architects; create hands-on product content; support customer references; and use content performance data to optimize campaigns and asset mix.

Own the technical go-to-market strategy for k0rdent AI by creating white papers, demos, benchmarks, competitive analyses, and certification materials. Validate technical claims through hands-on lab testing, engage customers and prospects in architecture reviews, enable sales engineers with POC plans and sizing models, support analyst and conference briefings, and provide roadmap feedback to product management. The role requires deep Kubernetes, GPU infrastructure, high-performance networking, AI platform, and technical content expertise.

Own the vision, roadmap, and feature priorities for Mirantis’s Kubernetes-as-a-Service offering for AI infrastructure providers. Translate customer and partner requirements into scalable cluster lifecycle, multi-tenancy, GPU, security, upgrade, and add-on capabilities. Collaborate with engineering, architecture, marketing, field teams, and ecosystem partners. Define positioning, packaging, competitive differentiation, technical collateral, and go-to-market strategy while supporting strategic accounts and representing the product externally.

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.

Lead go-to-market execution for k0rdent Enterprise: create positioning, messaging, sales enablement materials, support sales calls, run GTM launches, engage analysts, track competitive landscape and win/loss, gather customer insights, and own commercial performance and pipeline metrics.

Own end-to-end US recruiting for technical and business roles, including sourcing, pipeline development, hiring-manager advising, candidate experience, and closing. Recruiters will support engineering, product, account executive, pre-sales architect, and other go-to-market hiring. The role requires independent management of multiple searches, talent-market research, ATS administration in SmartRecruiters, and collaboration across distributed teams and time zones.

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.

Build and own a multi-tenant web platform for managing AI infrastructure. Develop Next.js and React features, server-side authentication and API proxying, generated TypeScript SDKs, resilient data synchronization, design-system components, accessibility, performance, testing, observability, and production deployment. Collaborate with backend and globally distributed teams, review code, troubleshoot production issues, and mentor junior engineers.

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.

Design and develop Rust and Go control-plane microservices, Kubernetes operators, reconciliation engines, and APIs for bare-metal AI infrastructure. Integrate datacenter networking systems, DPUs, network operating systems, and hardware-management platforms. Build observability with OpenTelemetry, troubleshoot distributed systems, and maintain rigorous testing practices. The role requires expertise in datacenter networking protocols, Linux networking, Kubernetes, provisioning, security, virtualization, and high-performance interconnects, along with architectural documentation and open-source collaboration.

Design and build enterprise LLM-serving infrastructure on Kubernetes, including GPU scheduling, scaling, model lifecycle management, Helm packaging, offline deployments, platform integrations, and production observability. Contribute across a multi-service Go codebase, create design documentation, participate in reviews, and help guide engineering direction within an autonomous remote-first team.

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.

Architects, deploys, and operates enterprise Kubernetes platforms across hybrid AWS and Azure environments. Manages containerized and virtualized workloads with KubeVirt, builds observability and DevSecOps capabilities, automates infrastructure using Terraform or Ansible, and implements Argo CD and Helm GitOps workflows. Leads cloud modernization, governance, security, and compliance initiatives; designs complex Kubernetes networking with Multus CNI and MetalLB; troubleshoots production networking issues; and provides technical leadership and mentoring.

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 vision, roadmap, backlog, and priorities for k0rdent AI storage across GPU clusters. Define capabilities for parallel file systems, object and block storage, tiering, snapshots, data protection, and GPU-optimized data paths. Translate customer requirements into product direction, partner with engineering on scalable storage features, develop positioning and field assets, support strategic accounts, and represent Mirantis with customers, analysts, and ecosystem partners.

Coordinate recruiting operations for senior recruiters by managing applicant processing, complex interview scheduling across global time zones, live coding setups, executive panels, candidate communications, interview preparation, virtual meeting rooms, feedback collection, and ATS data accuracy. The role keeps hiring pipelines moving while providing organized, responsive candidate care and supporting recruiters and hiring managers in a fast-paced technology hiring environment.

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.