Top Tech Jobs & Startup Jobs in NYC, NY

Develop positioning and messaging for Mirantis AI infrastructure products; translate technical capabilities into audience-specific content; own competitive intelligence; create technical assets (white papers, briefs, reference architectures, sales enablement); support GTM, launches, analyst/media briefings, and industry representation.

Operate and support production AI infrastructure across global datacenters, focusing on high-performance NVIDIA GPU platforms, Kubernetes, and high-speed networking. Monitor and troubleshoot infrastructure, network, hardware, and platform incidents; participate in incident response and root cause analysis; improve observability, automation, and operational runbooks.

Operate and automate high-performance NFS-based storage for GPU/AI Kubernetes platforms. Integrate storage via CSI, tune NFS client and network settings, manage capacity/snapshots, optimize Linux kernel and drivers, enable air-gapped deployments, and build IaC/GitOps pipelines and observability to diagnose performance and reliability at scale.

Design and implement control-plane services, drivers (CSI), and tooling to provision and operate high-performance storage for Kubernetes AI/GPU workloads. Integrate enterprise and scale-out storage (e.g., PowerScale, VAST), build data-path and observability tooling, deliver IaC (Terraform/OpenTofu) and GitOps pipelines (ArgoCD/Flux), and architect solutions for hybrid, bare-metal, and air-gapped deployments.

Design, deploy, and maintain high-performance HPC network fabrics (InfiniBand/RoCE), troubleshoot complex latency/throughput issues, manage Fortinet security solutions, tune and monitor network performance, collaborate with compute/storage teams, document architectures, participate in on-call rotations, and support large-scale GPU/AI clusters and incident triage.

Design and build infrastructure services and APIs that manage bare-metal GPU servers and multi-tenant Kubernetes clusters. Implement provisioning workflows, reconciliation loops, and consoles to visualize inventory and provisioning state while ensuring reliability, idempotency, and durable long-running operation handling.

Own the networking vision and roadmap for k0rdent AI, defining underlay/overlay fabrics, RDMA, DNS/IPAM, network automation, and DPU/SmartNIC integration. Translate customer and engineering requirements into priorities, track emerging interconnect standards, and support positioning, field engagements, and reference architectures.

Design, deploy, manage, and troubleshoot high-performance InfiniBand and Ethernet networks for HPC. Perform performance tuning, capacity planning, and monitoring. Implement Fortinet security, resolve routing/switching/latency issues, collaborate with compute and storage teams, document architectures, and participate in on-call escalation and upgrades.

Lead operations for large-scale AI infrastructure: manage NVIDIA GPU and high-performance networking environments, troubleshoot Linux/Kubernetes/storage/hardware issues, drive incident response and root cause analysis, improve observability and automation, mentor engineers, and collaborate with engineering and datacenter teams to ensure platform reliability and scalability.