Mirantis

Infrastructure 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

AI Infrastructure & Platform Operations Engineer

Network Engineer

• Support the deployment, configuration, and maintenance of InfiniBand and Ethernet network infrastructure.
• Assist in troubleshooting network issues, including connectivity, latency, and performance degradation.
• Monitor network health and performance using standard tools and assist in identifying bottlenecks.
• Work with InfiniBand technologies (switches, HCAs, subnet managers) under guidance from senior engineers.
• Support management and troubleshooting of Fortinet solutions (FortiGate, VPNs, firewall rules).
• Assist in implementing network configurations, routing, and segmentation.
• Collaborate with compute and storage teams to support HPC and AI workloads.
• Participate in incident response and operational support activities.
• Contribute to documentation of network configurations and procedures.
• Learn and adopt automation tools and practices (e.g., Ansible, scripting).

HPC Network 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
• Mentor and support AI Infrastructure & Platform Operations Engineers.

Senior AI Infrastructure, Platform Operations 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, Data Center 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

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

• Design, deploy, and maintain high-performance network infrastructures for HPC environments, with a strong focus on InfiniBand fabrics.
• Troubleshoot complex network issues across InfiniBand and Ethernet environments, ensuring minimal downtime and optimal performance.
• Manage and optimize InfiniBand components, including switches, HCAs, subnet managers, and fabric configurations.
• Perform performance tuning, monitoring, and capacity planning for HPC networking systems.
• Implement and maintain network security using Fortinet solutions (FortiGate, FortiManager, FortiAnalyzer).
• Diagnose and resolve issues related to routing, switching, latency, and throughput across hybrid network environments.
• Collaborate with compute, storage, and platform teams to support HPC workloads and cluster operations.
• Develop and maintain documentation for network architecture, configurations, and operational procedures.
• Participate in on-call rotations and provide escalation support for critical incidents.
• Lead or contribute to network upgrades, migrations, and new deployments.

Principal HPC Network Engineer, Remote in the EU

• 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.
• 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.
• Mentor and support AI Infrastructure & Platform Operations Engineers.