Senior AI Infrastructure Engineer, Kubernetes

Location: San Francisco Bay Area, United States

Company

hirify.global Technologies develops and operates energy-efficient AI infrastructure and the hirify.global AI Cloud GPU platform for training and deploying AI models.

What you will do

• Define the Kubernetes reference architecture for management and workload clusters, including lifecycle, multi-tenancy, workload isolation, and failure-domain design.
• Build backend services, APIs, controllers, operators, and automation for provisioning, upgrading, scaling, and retiring Kubernetes clusters.
• Engineer bare-metal Kubernetes deployment workflows and operate networking, storage, security, observability, and disaster-recovery capabilities.
• Integrate NVIDIA GPU and Network Operators, scheduling, telemetry, quotas, and topology-aware placement for accelerated AI workloads.
• Establish GitOps, CI/CD, progressive delivery, rollback, policy, and software-supply-chain controls.
• Set engineering standards, provide technical sign-off, mentor engineers, and lead resolution of complex platform failures across infrastructure teams.

Requirements

• 7+ years of infrastructure, systems, or platform engineering experience, including substantial ownership of production Kubernetes platforms.
• At least 3 years at senior staff, principal, or equivalent level, with experience designing and operating highly available, large-scale, multi-cluster Kubernetes platforms.
• Deep knowledge of Kubernetes internals, Linux systems, networking, storage, security, governance, and cluster performance.
• Strong software engineering skills in Go and/or Rust, with practical Python and Bash experience building operators, controllers, webhooks, CLIs, or platform services.
• Experience with GPU-enabled Kubernetes, NVIDIA GPU Operator, accelerator scheduling, RDMA networking, distributed storage, observability, and disaster recovery.
• CKA-level expertise is expected; a bachelor's degree or equivalent practical engineering experience is required.

Nice to have

• CKA, CKS, or relevant cloud-native certifications.
• Experience with Cluster API, kubeadm, Redfish, PXE, Ironic, Metal3, Multus, SR-IOV, BGP, InfiniBand, or RoCE.

Culture & Benefits

• Full-time employment with reporting to the Head of AI Platform.
• Work on sustainable AI infrastructure and energy-efficient GPU cloud technology.
• Inclusive workplace encouraging applications from candidates of all backgrounds.