Mirantis

Support Engineer

• Proactively/Reactively troubleshoot customer environments based on Linux, OpenStack, Kubernetes, networking and other cloud technologies, detect, report and resolve issues.
• Alert Management.
• Learn and troubleshoot MOSK (Mirantis Openstack on Kubernetes)
• Resolve and Handle/Triage IaaS related needs in customer datacenters.
• Reproduce customer issues in labs where needed, confirm bug reports, provide detailed information to the development team.
• Work closely with the development team: discuss customer issues, suggest improvements, fix product bugs, etc.
• Own escalations end-to-end by routing issues to the appropriate teams, including OpenStack/ceph storage, networking, hardware, and infrastructure, and product engineering while maintaining accountability and follow-through.
• Participate in weekend on call rotation and holiday coverage
• Communicate urgently, clearly, and in detail with customers during incidents via email and remote session, providing accurate status updates and guiding them through troubleshooting and resolution
• Work with AI tools to increase efficiency and problem solving tasks for customers.
• Troubleshooting server issues- DCOPs issues, Firmware upgrading, Iso, OS, Dell, Lenovo, ST Micro
• Work to troubleshoot any DC networking asks/upgrades, triaging where applicable

Technical Support Engineer – Openstack, Kubernetes

Platform Engineer

• Monitor, operate, and support production AI infrastructure platforms.
• Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
• Support NVIDIA GPU infrastructure and associated platform services.
• Monitor and troubleshoot Kubernetes-based environments.
• Investigate performance, availability, and reliability issues across infrastructure and platform components.
• Collaborate with engineering teams, hardware vendors, datacenter personnel, and service delivery teams to resolve technical issues.
• Participate in incident response, root cause analysis, and operational improvement activities.
• Contribute to improvements in monitoring, observability, automation, and operational processes.
• Maintain operational documentation, runbooks, and knowledge articles.

AI Infrastructure & Platform Operations Engineer

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
• Act as a senior escalation point for operational teams during critical service-impacting events.
• Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
• Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
• Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
• Lead root cause analysis activities and drive long-term corrective actions.
• Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
• Participate in major incident management and service restoration activities.
• Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
• Drive improvements in platform reliability, observability, monitoring, and operational processes.
• Identify opportunities to automate repetitive operational activities and improve operational efficiency.
• Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions.
• Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI.
• Evaluate emerging technologies and operational practices to improve service delivery and platform resilience.
• Mentor and support AI Infrastructure & Platform Operations Engineers.
• Share technical knowledge through documentation, training sessions, and operational reviews.
• Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices.
• Help define operational processes, escalation paths, and service reliability standards.
• Act as a trusted technical advisor during operational planning and service improvement initiatives.

Senior AI Infrastructure, Platform Operations Engineer

Full-stack Engineer

• Develop and maintain upstream k0s related projects under the CNCF umbrella
• Design and implement integrating new features from the cloud native technologies landscape that compliment the Mirantis Kubernetes products
• Following the latest developments in the container technology ecosystem and identifying matters that could impact the product roadmap
• Act as a cloud native software and technologies subject matter expert and evangelist within the company and broader community

Senior Software Engineer, K0s Team

Program Manager

• Design and implement processes for customer Proof-of-Concepts (PoC), solution delivery and AI design partnerships.
• Manage the PoC process, working closely with our account teams, solution architects and solution engineers to manage scope, success criteria and other critical aspects of the presales phase.
• Develop agentic AI solutions that support our customer life-cycle, from presales to operations.
• Implement and manage delivery processes in iterative and evolving environments, often for programs where scope and outcomes develop over time.
• Evolve our deal desk to support Request For Proposals (RFP) responses, statements of work and other proposals that our account teams need to support the sales process.
• Partner with our professional services team to provide ongoing leadership and coaching to our technical project managers.
• Manage retrospectives that we do at the conclusion of various presales activities, such as PoCs, RFP responses, etc.
• Ensure strong financial and commercial management of projects, including scope control, change management, and margin awareness.
• Facilitate clear, concise communication across all levels, including executive stakeholders.
• Contribute to account growth by identifying follow-on opportunities and helping shape new engagements.
• Continuously improve delivery practices, bringing structure where needed while maintaining flexibility for innovation.

Program Management Director

Cloud Engineer

• Own the vision, roadmap, and priorities for k0rdent AI networking, defining how customers design, automate, and operate every aspect of their network, including underlay fabric management, tenant connectivity, RDMA, DNS/IPAM, and more
• Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction
• Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable networking capabilities
• Manage the networking backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning
• Define positioning, packaging, and competitive differentiation for k0rdent AI networking
• Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the networking product lead
• Represent Mirantis at events, analyst briefings, and customer advisory boards; engage silicon, fabric, and ecosystem partners on reference architecture alignment

Technical Product Manager, AI Cloud Networking

Technical Product Manager

• Own the vision, roadmap, and priorities for k0rdent AI storage, defining how customers design, automate, and operate every aspect of their storage stack, including parallel file systems, object storage, tiering, snapshots, data protection, and more.
• Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction.
• Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable storage capabilities.
• Manage the storage backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning.
• Define positioning, packaging, and competitive differentiation for k0rdent AI storage.
• Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the storage product lead.
• Represent Mirantis at events, analyst briefings, and customer advisory boards; engage storage, silicon, and ecosystem partners on reference architecture alignment.

Technical Product Manager, AI Storage

Product Manager

• Own product strategy, roadmap, and lifecycle for inference and model serving, including serverless inference, dedicated endpoints, autoscaling, routing, KV cache management, and the related observability
• Lead deep technical discovery with NeoClouds, sovereign clouds, and enterprise platform teams, and translate findings into prioritized requirements and architecture direction
• Partner with engineering on system design trade-offs across runtime integration, GPU scheduling, network, storage, and serving topology, including disaggregated serving and multi-model serving
• Define positioning grounded in measurable outcomes: latency distributions, throughput per GPU, utilization, tail reliability, and cost per tokens
• Drive go-to-market execution: pricing and packaging, reference architectures, sizing guides, PoC playbooks, and direct engagement with customers, analysts, and ecosystem partners

Product Manager – AI Inference, Model Serving

Recruitment

• Own end-to-end US recruitment for technical and business roles
• Drive direct sourcing efforts using LinkedIn Recruiter and other platforms
• Partner with hiring managers to shape profiles, define strategy, and deliver results
• Act as a recruiting advisor, providing insights on talent market conditions, sourcing feasibility, and hiring best practices
• Ensure a structured, timely, and professional candidate experience
• Use SmartRecruiters (ATS) to manage pipelines, reporting, and workflows
• Collaborate with a distributed Talent Acquisition team while owning your roles independently.

Senior Recruiter, Contract

DevOps Engineer

• Deploy, test, and evaluate Mirantis K8S-related products
• Manage and maintain bare metal test environments, ensuring optimal performance, security, and availability.
• Design, implement, and troubleshoot network infrastructures.
• Evaluate and evolve best practices for production bare metal environments configuration and deployment.
• Automate deployment, monitoring, and infrastructure management tasks.
• Participate in designing and developing of CICD tooling.
• Monitor, analyze, and troubleshoot performance bottlenecks.
• Work with the geographically distributed team in a dynamic Agile environment
• Help with customer issues resolutions

Systems / DevOps Engineer

LLM Engineer

• Generate new sales leads through outbound phone and email prospecting and in close alignment with the sales team
• Generate new sales leads through inbound efforts, with a focus on proactive follow-up with interested prospects
• Schedule meetings and solution demos for the Account Executives
• Manage outbound leads process to maximise conversion and pipeline development
• Effectively communicate Mirantis’s offerings and apply them to the needs of a prospect
• Accurately enter, update, and maintain daily activity and prospect information in Salesforce
• Achieve monthly quotas and objectives

Sales Development Representative, AI Infrastructure

Backend Engineer

• Design, architect, implement, review, and test frameworks, libraries, tools, and services primarily using Go.
• Participate in requirement, design, planning, and retrospective meetings as an integral part of an Agile software development team.
• Contribute to successful sprints by implementing items contributing to overall team goals.
• Act as a subject matter expert and evangelist within the company and broader community.
• Be an active maintainer of Mirantis projects by managing contributions and patches to open-source projects, reviewing submissions, and participating in design decisions.
• Participate in product discussions, influence the roadmap, and take ownership and responsibility over new projects to make them happen.
• Be the technical reference to external partners and in-house engineering teams, provide support by sharing knowledge and/or taking on the development effort.
• Contribute to testing via automation and test plan reviews to prevent bugs from entering the product and eliminate regressions, ensuring a quality product every build.
• Ensure that MSR continues to be a first-class and indispensable part of diverse customer solutions, working seamlessly with existing systems including popular orchestrators and other industry-standard components.

Senior Software Engineer, Golang, Backend

Senior Golang Engineer, Backend

• Proactively/Reactively troubleshoot customer environments based on Linux, OpenStack, Kubernetes, networking and other cloud technologies, detect, report and resolve issues.
• Alert Management.
• Learn and troubleshoot MOSK (Mirantis Openstack on Kubernetes)
• Resolve and Handle/Triage IaaS related needs in customer datacenters.
• Troubleshooting server issues- DCOPs issues, Firmware upgrading, Iso, OS, Dell, Lenovo, ST Micro
• Work to troubleshoot any DC networking asks/upgrades, triaging where applicable
• Reproduce customer issues in labs where needed, confirm bug reports, provide detailed information to the development team.
• Work closely with the development team: discuss customer issues, suggest improvements, fix product bugs, etc.
• Own escalations end-to-end by routing issues to the appropriate teams, including OpenStack/ceph storage, networking, hardware, and infrastructure, and product engineering while maintaining accountability and follow-through.
• Participate in weekend on call rotation and holiday coverage
• Communicate urgently, clearly, and in detail with customers during incidents via email and remote session, providing accurate status updates and guiding them through troubleshooting and resolution
• Work with AI tools to increase efficiency and problem solving tasks for customers.

Technical Support Engineer

Account Executive

• Own and execute a territory strategy for Southern Europe, focused on expanding Tier 1 enterprise accounts and selectively landing new strategic logos
• Build and maintain strong executive relationships up to C-level across key accounts
• Drive account expansion through platform modernisation initiatives, including consolidation, cost optimisation, and displacement of legacy platforms (e.g. VMware)
• Position Mirantis as a partner to prepare enterprise platforms for future AI infrastructure requirements.
• Develop and execute multi-year account plans aligned to large-scale customer transformation programmes.
• Identify, shape, and convert strategic opportunities within existing accounts and priority verticals (Financial services, telco, large enterprise)
• Lead complex, multi-threaded sales cycles from discovery through negotiation and close, including commercial structuring and SOW definition
• Collaborate with Sales Engineering, Product, and Customer Success to shape solutions aligned to customer needs and roadmap evolution
• Deliver against multi-year revenue growth and expansion targets within strategic accounts
• Lead negotiations of commercial terms and contractual agreements with key decision-makers to secure mutually beneficial outcomes.
• Drive engagement at both regional and global levels within multinational accounts