The Senior QA Engineer will drive the overall testing strategy for Kubernetes and cloud-native environments while architecting scalable test frameworks. They will also mentor team members and advocate for a culture of quality across the development lifecycle.
You will own the technical relationship with enterprise customers, architecting and deploying AI infrastructure solutions across hybrid and multi-cloud environments. This involves leading proof-of-concept projects, translating complex technical constraints into deployable architectures, and serving as a trusted advisor to CTOs and platform teams.
The Senior Principal Engineer will define the technical roadmap and architectural strategy across the k0rdent department, ensuring coherence between core infrastructure, AI, and application pillars. This role involves hands-on coding, system design, and mentoring senior engineers to raise the technical bar across the organization.
Lead the strategic repositioning of the company from private cloud infrastructure to full-stack AI infrastructure. Manage marketing efforts across enterprise and CSP/Neocloud segments while building brand gravity and ecosystem partnerships.
You will own the technical relationship with enterprise customers, architecting scalable AI and Kubernetes-based infrastructure solutions. You are responsible for leading proof-of-concept deployments and translating complex infrastructure constraints into actionable narratives for stakeholders.
You will build and maintain the web platform for managing AI infrastructure, including frontend React components and the server-side logic for authentication and API proxying. You will also collaborate with backend teams to define API contracts and ensure a resilient, high-performance data layer.
The Principal Engineer will define the cross-departmental technical strategy and architectural roadmap for the k0rdent platform. They will lead the design of high-risk components, mentor senior engineering staff, and represent the company's technical vision to customers and the broader ecosystem.
You will build and maintain the full-stack web platform for managing AI infrastructure, including React components, Next.js server logic, and API integration. You will also collaborate with backend teams to define API contracts and ensure the platform is performant, secure, and accessible.
You will own the technical relationship with enterprise customers, architecting scalable AI and Kubernetes-based infrastructure solutions. You are responsible for leading proof-of-concept deployments and translating complex infrastructure constraints into actionable narratives for stakeholders.
The Cloud Infrastructure Engineer will architect and operate enterprise-grade Kubernetes platforms across hybrid AWS and Azure environments using KubeVirt for unified management. They will also implement GitOps workflows, enforce DevSecOps standards, and provide technical leadership for cloud modernization initiatives.
The engineer will architect and operate high-availability PostgreSQL and Apache Kafka clusters across Kubernetes and bare metal environments. They will also develop custom Go-based clients, connectors, and middleware to ensure secure, scalable data integration and disaster recovery.
You will design and implement infrastructure services for a GPU-as-a-Service platform, including the control plane and provisioning workflows. You will also own the full lifecycle of infrastructure-level services, ensuring hardware consistency and system reliability.
Design and maintain production-grade control plane microservices and custom Kubernetes operators using Rust and Go. Develop integration modules for network operating systems and DPU hardware while ensuring end-to-end observability.
You will design and build LLM serving infrastructure on Kubernetes, including GPU scheduling, scaling, and model lifecycle management. Additionally, you will package the platform for enterprise environments and integrate the serving layer with API gateways and observability services.
You will integrate and operate high-performance NFS-based storage for GPU-accelerated AI platforms within Kubernetes environments. The role involves automating storage provisioning using infrastructure-as-code and ensuring system performance through rigorous monitoring and tuning.
You will lead the go-to-market strategy for the k0rdent AI platform by creating technical content and enablement assets for platform engineers and buyers. You will collaborate with engineering and product teams to translate complex infrastructure capabilities into compelling narratives and sales tools.
You will be responsible for creating technical content such as white papers, demos, and benchmarks to support the k0rdent AI platform. Additionally, you will engage with customers and internal teams to validate technical claims and provide feedback to product management.
Manage the technical relationship with strategic accounts by acting as the primary point of contact for Mirantis products. Drive product integration, lead technical alignment between customer teams and Mirantis engineering, and advocate for customer needs internally.
You will lead the company's market repositioning from private cloud infrastructure to full-stack AI infrastructure while managing marketing across both Enterprise and CSP/Neocloud business units. This role involves crafting strategic narratives, building industry gravity, and leading a high-performing team to drive market perception and pipeline growth.
Design, deploy, and operate a production-grade event-streaming platform on Kubernetes to support enterprise GPU infrastructure. Manage schema governance, connector pipelines, and self-service automation to ensure reliable data flow across analytics and billing systems.
The analyst will manage the technical health, listing administration, and operational execution across cloud digital channels including AWS and Azure marketplaces. They will also drive agile delivery sprints, maintain system data flows into NetSuite, and document functional requirements for commerce initiatives.
Lead the strategic repositioning of the company from private cloud infrastructure to a full-stack AI infrastructure provider. Manage marketing efforts across enterprise and CSP/Neocloud segments while building brand gravity and industry ecosystem partnerships.
You will define the strategy, roadmap, and feature priorities for the k0rdent AI Kubernetes-as-a-Service platform. You will collaborate with engineering, marketing, and field teams to deliver scalable, secure, and reliable cluster lifecycle capabilities for global cloud providers.
Design and maintain production-grade control plane microservices, custom Kubernetes operators, and reconciliation engines using Rust and Go. Develop integration modules for network operating systems and DPU hardware while ensuring end-to-end observability.
You will deploy, integrate, and operate high-performance storage solutions for GPU-accelerated AI platforms within Kubernetes environments. This includes automating storage provisioning, tuning data paths for high throughput, and ensuring system reliability through observability and infrastructure-as-code.
The Service Delivery Manager will lead an engineering team responsible for large-scale infrastructure and platform operations while owning the end-to-end incident management process. They will ensure service delivery meets contracted SLAs, manage team performance, and act as a primary escalation point for critical outages.
Design and maintain production-grade control plane microservices, custom Kubernetes operators, and reconciliation engines using Rust and Go. Develop integration modules for network operating systems and DPU hardware while ensuring observability through OpenTelemetry.
The Service Delivery Manager will lead an engineering team responsible for large-scale infrastructure and platform operations while owning the end-to-end incident management process. They are responsible for ensuring service delivery meets contracted SLAs and driving continuous improvements in operational reliability.
You will define the observability strategy, roadmap, and feature priorities for the k0rdent AI control plane to ensure visibility into GPU infrastructure and AI workloads. You will partner with engineering, marketing, and customers to translate technical requirements into a unified, operator-facing observability plane.
You will define the observability strategy, roadmap, and feature priorities for the k0rdent AI control plane to ensure visibility into GPU infrastructure and AI workloads. You will collaborate with engineering, marketing, and customers to translate technical requirements into a unified, operator-facing observability plane.
Define and measure service-level indicators and objectives for the K0rdent Observability Framework to ensure platform reliability. Design and build APIs to expose reliability states to administrators while partnering with infrastructure teams to optimize signal collection.
You will own a portfolio of strategic technology partners to drive product innovation, co-marketing, and revenue growth. This involves developing joint business plans, enabling sales teams, and collaborating cross-functionally with product and marketing departments.
You will lead the repositioning of Mirantis from a private cloud infrastructure leader to a full-stack AI infrastructure company. This involves crafting the strategic narrative, managing marketing across enterprise and CSP/Neocloud segments, and building industry gravity through ecosystem engagement.
Lead new customer acquisition and strategic expansion across the EMEA region by managing the full sales cycle. Develop strategic sales plans and build relationships with C-suite executives to drive adoption of AI infrastructure solutions.
You will design and implement infrastructure services for a GPU-as-a-Service platform, including building control planes and provisioning workflows. You are responsible for the full lifecycle of infrastructure services, ensuring system reliability and hardware consistency.
The role involves integrating and operating high-performance NFS-based storage for GPU-accelerated AI platforms within Kubernetes environments. You will be responsible for automating storage provisioning, tuning data paths for high throughput, and ensuring system reliability through observability and infrastructure-as-code.
Design and build control-plane services, drivers, and tooling to provision and operate high-performance storage for Kubernetes-based AI and compute workloads. Implement infrastructure-as-code and GitOps-driven pipelines to manage storage lifecycles across hybrid and air-gapped environments.
Define the storage strategy, roadmap, and feature priorities for the k0rdent AI control plane. Collaborate with engineering, marketing, and field teams to deliver scalable, secure, and high-performance storage solutions for GPU-intensive workloads.
You will deploy, integrate, and operate high-performance storage solutions for GPU-accelerated compute and AI platforms within Kubernetes environments. The role involves automating storage provisioning using infrastructure-as-code and GitOps while ensuring performance and reliability through rigorous monitoring and tuning.
Develop and maintain upstream k0s-related projects under the CNCF umbrella while integrating new cloud-native features. Act as a subject matter expert and evangelist for cloud-native technologies within the company and the broader community.
Develop and maintain upstream k0s projects under the CNCF umbrella while integrating new cloud-native features into Mirantis products. Act as a subject matter expert and evangelist for cloud-native technologies within the company and the broader community.
The Sales Development Representative is responsible for prospecting, qualifying, and developing the sales pipeline through inbound and outbound efforts. They will work closely with Account Executives to schedule meetings and maintain accurate prospect data in Salesforce.
The Recruiting Coordinator will manage complex interview logistics, coordinate across multiple time zones, and maintain candidate communication. They will also ensure the ATS is kept organized and support recruiters in maintaining pipeline momentum.
The Cloud Infrastructure Engineer will architect and operate enterprise-grade Kubernetes platforms across hybrid cloud environments using KubeVirt for unified management. They will also implement DevSecOps standards, automate infrastructure provisioning, and maintain observability platforms to ensure system reliability.
Architect and operate enterprise-grade Kubernetes platforms across hybrid cloud environments using KubeVirt for unified workload management. Implement robust CI/CD pipelines, observability platforms, and DevSecOps standards to ensure system reliability and security.
Design and build control-plane services, drivers, and tooling to provision and operate high-performance storage for Kubernetes-based AI and compute workloads. Develop data-path, telemetry, and observability tools to ensure performance, reliability, and scalability across hybrid and air-gapped environments.
You will own the technical relationship with enterprise customers, architecting solutions for AI workloads and Kubernetes-based infrastructure. You will lead proof-of-concept deployments and translate complex infrastructure requirements into actionable narratives for stakeholders.
You will build and lead the sales engineering team to drive technical wins for complex AI infrastructure deals. This involves defining the pre-sales operating model, architecting solutions, and partnering with account executives to convert strategic opportunities into long-term contracts.
The analyst will manage the technical health, listing administration, and operational execution across cloud digital channels including AWS and Azure marketplaces. They will also drive agile delivery sprints, maintain system data flows, and produce functional requirements for commerce initiatives.
The analyst will manage the technical health, listing administration, and operational execution across cloud digital channels including AWS, Azure, and the company webstore. They will also drive Jira delivery sprints, coordinate UAT, and map end-to-end data flows between the B2B stack and ERP systems.
Manage the technical health, listing administration, and operational execution across cloud digital channels including AWS, Azure, and the company webstore. Coordinate enterprise B2B private offers, drive Jira delivery sprints, and optimize system data flows into the ERP.
The analyst will manage the technical health, listing administration, and operational execution across cloud digital channels including AWS and Azure marketplaces. They will also drive Jira delivery sprints, optimize system data flows into NetSuite, and maintain operational dashboards for business applications.
The Marketplace Operations Analyst will manage the technical health, listing administration, and operational execution across cloud digital channels including AWS, Azure, and the company webstore. They will also drive agile delivery sprints, maintain system data flows into NetSuite, and coordinate enterprise B2B private offer workflows.
Manage the end-to-end health and operations of the Mirantis Webstore and cloud marketplace listings, including pricing, SKUs, and private offer workflows. Coordinate cross-functional projects, maintain documentation in Jira, and drive process automation using AI tools.
Manage the day-to-day operations and health of cloud marketplace listings including AWS and Azure. Coordinate cross-functional projects, document business requirements, and drive process automation for commerce workflows.
Manage the end-to-end operations of cloud marketplace listings, including product onboarding, private offer workflows, and metering integrations. Coordinate cross-functional projects, maintain documentation, and drive process automation to support eCommerce initiatives.
You will lead the operation of large-scale AI infrastructure, managing NVIDIA GPU environments and Kubernetes platforms while acting as a senior escalation point for critical incidents. Additionally, you will drive operational excellence through automation, reliability practices, and technical mentorship of the engineering team.
Design, deploy, and maintain high-performance network infrastructures for HPC environments with a focus on InfiniBand fabrics. Troubleshoot complex network issues and manage security using Fortinet solutions to ensure optimal performance and reliability.
You will lead the operation of large-scale AI infrastructure, managing NVIDIA GPU environments and Kubernetes platforms while acting as a senior escalation point for critical incidents. Additionally, you will drive operational excellence, mentor engineering staff, and implement automation to improve platform reliability and service delivery.
Design, deploy, and maintain high-performance network infrastructures with a focus on InfiniBand fabrics and Fortinet security solutions. Troubleshoot complex network issues and collaborate with compute and storage teams to ensure optimal performance for HPC workloads.
Design, deploy, and maintain high-performance network infrastructures for HPC environments with a focus on InfiniBand fabrics. Troubleshoot complex network issues and manage security using Fortinet solutions to ensure optimal performance and reliability.
Design and implement infrastructure services for a GPU-as-a-Service platform, focusing on the control plane and bare-metal server lifecycle. Develop asynchronous workflows for server enrollment, provisioning, and Kubernetes cluster assembly.
Design and implement infrastructure services for a GPU-as-a-Service platform, focusing on the control plane and bare-metal server lifecycle. Develop asynchronous workflows for server enrollment, provisioning, and Kubernetes cluster assembly while maintaining system reliability through reconciliation loops.
Design and implement infrastructure services and control planes for a GPU-as-a-Service platform. This includes building APIs for bare-metal server lifecycles and developing asynchronous provisioning workflows.
Lead the operation and reliability of large-scale AI infrastructure powered by NVIDIA GPUs and Kubernetes. Drive operational excellence through automation, incident resolution, and the development of operational standards.
Design and build control-plane services and drivers to integrate high-performance storage for GPU-accelerated AI platforms on Kubernetes. Develop automation pipelines using Go, Terraform, and GitOps to manage storage lifecycles in hybrid and air-gapped environments.
Design and implement infrastructure services and control planes for a GPU-as-a-Service platform. This includes building APIs for bare-metal server lifecycles and developing asynchronous provisioning workflows.
Deploy and operate high-performance NFS-based storage for GPU-accelerated AI platforms within Kubernetes clusters. Automate storage provisioning using infrastructure-as-code and maintain observability for performance and health across hybrid and air-gapped environments.
Support the deployment, configuration, and maintenance of InfiniBand and Ethernet network infrastructure for HPC and AI workloads. Troubleshoot network performance issues and manage Fortinet security solutions under the guidance of senior engineers.
Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while contributing to operational automation.
Own the vision, roadmap, and priorities for k0rdent AI networking, focusing on underlay fabric management and tenant connectivity. Translate requirements from GPU cloud operators and enterprises into technical product direction and manage the networking backlog.
Design, deploy, and maintain high-performance network infrastructures with a focus on InfiniBand fabrics and Fortinet security solutions. Troubleshoot complex network issues and optimize performance for HPC and AI/ML workloads.
Lead the operational reliability and technical management of large-scale AI infrastructure utilizing NVIDIA GPUs and Kubernetes. Drive automation, perform root cause analysis for complex incidents, and mentor other platform operations engineers.
Monitor and support production AI infrastructure platforms, focusing on NVIDIA GPU acceleration and Kubernetes environments. Collaborate with engineering and vendor teams to resolve technical incidents and improve operational automation.
Develop and maintain upstream k0s projects under the CNCF umbrella and integrate new cloud-native features into Mirantis products. Act as a subject matter expert and evangelist for container technologies within the company and the broader community.
Support the deployment, configuration, and maintenance of InfiniBand and Ethernet network infrastructure for HPC and AI workloads. Monitor network health, troubleshoot performance issues, and manage Fortinet security solutions.
Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while improving observability and automation.
Support the deployment, configuration, and maintenance of InfiniBand and Ethernet network infrastructure for HPC and AI workloads. Monitor network health, troubleshoot performance issues, and manage Fortinet security solutions.
Manage the health and operations of the Mirantis Webstore and cloud marketplaces while coordinating eCommerce projects via Jira. Elicit functional requirements, map data flows across the commerce stack, and produce business intelligence reports for leadership.
Manage end-to-end recruitment for technical and business roles across the EU, focusing on engineering, product, and GTM functions. Partner with hiring managers to define sourcing strategies and provide market insights to influence hiring outcomes.
Develop and maintain the k0s project under the CNCF umbrella and integrate new cloud-native features into Mirantis products. Act as a subject matter expert and evangelist for container technologies within the company and the broader community.
Drive the overall QA strategy and architect test frameworks for Mirantis Secure Registry in multi-cloud and Kubernetes environments. Lead the development of scalable automation integrated with CI/CD and mentor junior engineers in advanced testing techniques.
Act as the primary technical partner for strategic accounts to drive product integration and alignment between customer engineering teams and Mirantis. Lead technical cadences, architecture reviews, and collaborate with support to resolve high-impact issues.
Monitor and support AI IaaS infrastructure, focusing on GPU servers, storage, and InfiniBand networking. Manage the full lifecycle of bare metal nodes including provisioning, validation, and first-level troubleshooting of hardware and Kubernetes platforms.
Own the product strategy, roadmap, and lifecycle for AI inference and model serving within the k0rdent AI control plane. Lead technical discovery and partner with engineering to optimize GPU infrastructure performance and drive go-to-market execution.
Own the vision, roadmap, and priorities for k0rdent AI storage, focusing on GPU infrastructure and distributed AI workloads. Translate complex requirements from GPU clouds and enterprises into scalable storage capabilities and field-facing technical assets.
Own the vision, roadmap, and priorities for k0rdent AI networking to enable scalable GPU infrastructure for AI workloads. Collaborate with engineering, marketing, and field teams to define technical requirements and competitive positioning for GPU cloud networking.
The Principal Customer Engineer manages the technical relationship for strategic accounts, ensuring deep product integration and alignment with customer roadmaps. They act as the primary technical point of contact, providing hands-on expertise and advocating for customer needs within the internal product and engineering teams.
The role involves developing core positioning and messaging for Mirantis' AI infrastructure portfolio, translating complex technical capabilities like GPU orchestration into audience-specific narratives. Responsibilities also include owning competitive intelligence, producing high-quality technical content, and supporting demand generation campaigns.
