Jobs at Mirantis

Own networking for k0rdent AI: define vision and roadmap for GPU cloud networking, translate customer requirements, partner with engineering to build RDMA, underlay/overlay, DPU/SmartNIC features, manage backlog, enable field and GTM with technical assets, and represent Mirantis externally.

The Senior Recruiter will manage end-to-end recruitment for technical and business roles, drive sourcing, partner with hiring managers, and ensure a positive candidate experience while collaborating with a distributed team.

Lead operations and reliability for large-scale AI GPU infrastructure and Kubernetes platforms. Investigate and resolve complex incidents, drive root cause analysis and automation, improve observability and platform resilience, mentor engineers, and collaborate with vendors and datacenter teams to ensure stable, high-performance production environments.

Design, deploy, and maintain high-performance HPC network infrastructures with emphasis on InfiniBand fabrics. Troubleshoot InfiniBand and Ethernet issues, optimize performance, manage InfiniBand components, implement Fortinet-based network security, perform capacity planning and tuning, collaborate with compute and storage teams, document configurations, participate in on-call rotations, and lead network upgrades and migrations.

Design, deploy, and maintain high-performance HPC network fabrics (InfiniBand and Ethernet); troubleshoot latency, routing, and throughput issues; manage Fortinet security stack; perform performance tuning, capacity planning, and documentation; collaborate with compute/storage teams; support on-call rotations and lead network upgrades and migrations.

Lead technical operations and reliability for large-scale AI infrastructure powered by NVIDIA GPUs, Kubernetes, and high-performance networking. Act as senior escalation for incidents, drive root cause analysis and long-term fixes, improve observability and automation, mentor engineers, and support platform readiness, upgrades, and AI-powered operational capabilities.

Design, deploy, and maintain high-performance InfiniBand and Ethernet networks for HPC. Troubleshoot latency, routing, and throughput issues, optimize performance, implement Fortinet security, collaborate with compute and storage teams, document architectures, and participate in on-call rotations and upgrades.

Support deployment, configuration, and maintenance of InfiniBand and Ethernet networks for HPC/AI clusters. Troubleshoot connectivity, latency, and performance issues, manage Fortinet security components, monitor network health, collaborate with compute and storage teams, document procedures, participate in incident response, and adopt automation tools like Ansible and scripting to improve operations.

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.

Operate, troubleshoot, and maintain InfiniBand and Ethernet networks for HPC/AI clusters. Support Fortinet security, monitor performance, assist with routing/segmentation, collaborate with compute/storage teams, participate in incident response, document configs, and adopt automation (Ansible/scripting).

Lead technical operations for large-scale AI infrastructure, resolving complex incidents across Linux, Kubernetes, networking, storage, and GPU platforms. Drive reliability, observability, automation, capacity planning, RCA, and mentor engineers while collaborating with vendors and datacenter teams to improve platform resilience.

Lead and troubleshoot large-scale AI infrastructure and Kubernetes platform operations, act as senior escalation for incidents, drive reliability, automation, observability, and mentor engineers while coordinating with vendors and datacenter teams.

Lead technical operations and reliability for large-scale NVIDIA GPU and Kubernetes infrastructure. Troubleshoot complex Linux, networking, storage, and hardware issues, manage major incidents, drive root cause analysis, improve platform observability and automation, mentor engineers, and shape operational standards for AI infrastructure services.

Design, deploy, and maintain high-performance InfiniBand and Ethernet networks for HPC. Troubleshoot latency, routing, and throughput; manage InfiniBand components; implement Fortinet security; perform performance tuning, capacity planning, automation, documentation, and on-call escalation support for HPC/AI infrastructure.

Operate, troubleshoot, and maintain InfiniBand and Ethernet networks for HPC/AI environments. Support Fortinet security solutions, monitor network performance, collaborate with compute/storage teams, participate in incident response, document configurations, and adopt automation (Ansible/scripting).

Operate, troubleshoot, and maintain InfiniBand and Ethernet networks for HPC/AI clusters. Support Fortinet firewalls and VPNs, monitor performance, assist senior engineers with subnet managers, HCAs, RDMA/MPI workloads, and collaborate with compute/storage teams. Participate in incident response, document configurations, and learn automation (Ansible, scripting).

Operate and support large-scale NVIDIA GPU-powered AI infrastructure across datacenters. Monitor and troubleshoot Kubernetes environments, networking, hardware, and platform issues; participate in incident response, root cause analysis, automation, and runbook maintenance.

Join the k0s maintainers to develop and maintain upstream k0s projects, integrate cloud-native features, design and implement solutions, track container ecosystem developments, and evangelize cloud-native technologies.

Operate, monitor, and troubleshoot large-scale AI infrastructure including NVIDIA GPU clusters, high-performance networking, and Kubernetes. Respond to incidents, perform root cause analysis, collaborate with vendors and datacenter teams, improve observability and automation, and maintain runbooks and operational documentation.

Operate and support production AI infrastructure (NVIDIA GPUs, networking, Kubernetes). Monitor and troubleshoot incidents, collaborate with engineering and datacenter teams, perform root cause analysis, improve observability and automation, and maintain runbooks in a shift-based operational environment.