Mirantis

DevOps Engineer

• Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms
• Own the storage layer where Kubernetes meets bare metal — standing up NFS-based high-performance storage
• Wire storage into clusters via CSI and tune for performance
• Integrate NFS-based storage into Kubernetes clusters via storage classes and persistent volumes
• Tune the NFS data path for high-throughput, low-latency GPU/AI workloads
• Automate storage provisioning and configuration with infrastructure-as-code and GitOps pipelines
• Diagnose and resolve performance, reliability, and scaling issues across the storage stack

Senior DevOps Engineer – Storage

Infrastructure Engineer

• Design, build, and maintain the versioned REST and gRPC APIs for bare-metal server lifecycle, MachineType definitions, and cluster CRUD operations.
• Develop the asynchronous workflows that drive server enrollment, inspection, OS provisioning, and cluster bring-up, exposing durable status to callers.
• Implement and maintain the consoles and interfaces that visualize hardware inventory, provisioning progress, and cluster health.
• Design the error-handling models, idempotency guarantees, and reconciliation loops necessary to manage long-running provisioning operations reliably.

Software Engineer, Infrastructure – Go

Backend Engineer

• Design and build the software that provisions, integrates, and operates high-performance storage for GPU-accelerated compute and AI platforms.
• Develop control-plane services, drivers, and tooling that connect enterprise and scale-out storage systems to Kubernetes-based workloads across hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.
• Integrate high-performance storage platforms — Dell PowerScale, VAST, and comparable systems — into automated, declarative provisioning workflows.
• Build data-path, telemetry, and observability tooling to diagnose and resolve performance, reliability, and scaling issues.
• Write production-quality software — primarily in Go — with strong testing, code review, and operational rigor.
• Deliver infrastructure-as-code (Terraform/OpenTofu) and GitOps-driven pipelines (ArgoCD or Flux) for storage configuration and lifecycle.
• Support bare-metal and hybrid provisioning where storage intersects host and cluster bring-up.
• Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies.
• Architect storage software for fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations.

Senior Software Engineer – Storage

• Design, build, and maintain the versioned REST and gRPC APIs for bare-metal server lifecycle, MachineType definitions, and cluster CRUD operations.
• Develop the asynchronous workflows that drive server enrollment, inspection, OS provisioning, and cluster bring-up, exposing durable status to callers.
• Design the error-handling models, idempotency guarantees, and reconciliation loops necessary to manage long-running provisioning operations reliably.

• 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

Network Engineer

• 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

• 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.
• 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.

• Infrastructure API Design: Design, build, and maintain the versioned REST and gRPC APIs for bare-metal server lifecycle, MachineType definitions, and cluster CRUD operations.
• Provisioning & Workflow Development: Develop the asynchronous workflows that drive server enrollment, inspection, OS provisioning, and cluster bring-up, exposing durable status to callers.
• Full-Stack Implementation: Implement and maintain the consoles and interfaces that visualize hardware inventory, provisioning progress, and cluster health.
• System Reliability: Design the error-handling models, idempotency guarantees, and reconciliation loops necessary to manage long-running provisioning operations reliably.

Full-Stack Software Engineer – Infrastructure

• Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms.
• You will own the storage layer where Kubernetes meets bare metal — standing up NFS-based high-performance storage, wiring it into clusters via CSI, and tuning it to keep data flowing to GPU workloads at scale.
• Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.
• The right candidate is fluent in Kubernetes storage, comfortable on bare metal down to the disk, kernel, and NFS-client layer, and knows how to make high-performance NAS actually perform under demanding workloads.
• Set operational standards for others to follow and communicate clearly across teams.

• Design and build control-plane services, drivers (e.g., CSI), and tooling that provision, configure, and operate storage for Kubernetes-based AI/compute workloads.
• Integrate high-performance storage platforms — Dell PowerScale, VAST, and comparable systems — into automated, declarative provisioning workflows.
• Build data-path, telemetry, and observability tooling to diagnose and resolve performance, reliability, and scaling issues.
• Write production-quality software — primarily in Go — with strong testing, code review, and operational rigor.
• Deliver infrastructure-as-code (Terraform/OpenTofu) and GitOps-driven pipelines (ArgoCD or Flux) for storage configuration and lifecycle.
• Support bare-metal and hybrid provisioning where storage intersects host and cluster bring-up.
• Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies.
• Architect storage software for fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations.

• Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms.
• Own the storage layer where Kubernetes meets bare metal — standing up NFS-based high-performance storage, wiring it into clusters via CSI, and tuning it to keep data flowing to GPU workloads at scale.
• Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.
• Treat storage as infrastructure to be automated, observed, and tuned — not hand-managed.
• Fluent in Kubernetes storage, comfortable on bare metal down to the disk, kernel, and NFS-client layer.
• Reach for infrastructure-as-code and GitOps by default, be self-directed in diagnosing performance and reliability issues end to end, set operational standards for others to follow, and communicate clearly across teams.

• 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).