Site Reliability Engineer - AI Compute - $250K+ Super

Hyre.; Sydney; Hybrid; AUD 180,000 - 240,000; Full time

Job summary

Hyre. is scaling a high-performance AI compute platform across exabyte-scale storage and fast interconnects. You will own reliability, performance, and automation for storage, networking, and the GPU/HPC cloud management plane.

You will lead incident response, optimize kernel and IO paths, and implement robust automation using Python/Go/Bash and GitOps tools. Hybrid work in Australia with regional travel is supported.

Qualifications

• 24/7 high-availability production environments experience.
• Deep kernel/IO/memory/networking storage understanding.
• Hands-on experience with Python, Go, or Bash and GitOps practices.
• Proven ability to drive incident recovery and write runbooks.

Responsibilities

• Drive operations and tuning across scale-out storage and high-speed fabrics.
• Maintain compute fleet health, auto fault detection, and remediation workflows.
• Build self-healing, provision- as-code tooling (OpenTofu/Terraform, Ansible, Argo CD).
• Ensure multi-tenant controls, virtualization stacks, Kubernetes integrations, and observability.

Skills

Production systems

Linux & storage

IaC & scripting

Incident leadership

Tools

Terraform

Ansible

Argo CD

Proxmox

KVM

VMware

Prometheus

Grafana

OpenTelemetry

Loki

Job description

Senior Infrastructure Reliability Engineer (AI Compute) - Australia (Hybrid / Regional Travel)

The Opportunity

Scale high-performance AI infrastructure across one of the largest GPU/HPC compute platforms in Asia-Pacific.

We are looking for a Senior AI Infrastructure Engineer to own the reliability, performance, and automation of our exabyte-scale storage, high-speed fabrics, and GPU/HPC cloud management plane.

What You’ll Do:

• Exabyte Storage & Data Path: Drive operations and performance tuning across scale-out filesystems (VAST, WEKA, Ceph etc) and high-speed fabrics (RDMA, GPU Direct Storage, InfiniBand, RoCE).
• GPU Compute Fleet: Maintain compute node health, automated fault detection, driver/firmware baselines, and hardware remediation workflows.
• Guarded Automation: Eliminate manual work by building self-healing remediation tooling and automated provisioning as code (OpenTofu/Terraform, Ansible, Argo CD etc).
• Platform Operations: Maintain multi-tenant controls, virtualisation planes (Proxmox/KVM/VMware), Kubernetes integrations, and full-stack observability (Prometheus, Grafana, OpenTelemetry, Loki).
• Deep Escalation & Incidents: Act as the Tier-3 technical escalation point for major incidents, deep kernel/hardware diagnostics, root-case analysis, vendor engineering escalations.

What You Bring:

• Solid experience: production systems, infrastructure, or platform engineering (24/7 high-availability environments).
• Expert Linux & Storage Knowledge: Deep internals-level understanding of kernel/IO, memory, networking, and parallel/scale-out storage.
• Modern IaC & Scripting: Strong hands-on experience with Python, Go, or Bash alongside GitOps practices.
• Incident & Production Leadership: Proven ability to drive major incident recovery, write executable runbooks, and mentor team members.