Site Reliability Engineer (AI Infrastructure)

Location: Launceston, Tasmania, Australia

Company

hirify.global develops and operates energy-efficient AI infrastructure, including liquid-cooled AI Factories and the hirify.global AI Cloud GPU platform, across the Asia-Pacific region.

What you will do

• Deploy, configure, and maintain high-end GPU servers, storage servers, networking equipment, and software components in secure environments.
• Perform hardware diagnostics, systems checks, firmware updates, and firmware compliance activities.
• Support customer environments involving bare-metal systems, HPC clusters, Kubernetes, and Slurm.
• Provide first-line engineering support for onsite hardware, network, and software incidents.
• Troubleshoot incidents, escalate critical issues, and provide technical support to the Global Operations Centre.
• Participate in a 24/7 on-call rotation and maintain accurate incident and operational documentation.

Requirements

• Bachelor’s degree in computer engineering, computer science, or a related technical field.
• 5+ years of experience in field service technical roles.
• Strong knowledge of server hardware, firmware lifecycles, Linux environments, hardware troubleshooting, and physical and system-level security.
• Experience with Bash or Python scripting.
• Familiarity with configuration management, CI/CD, workload management, cluster software, and observability tools such as Slurm, Kubernetes, NVIDIA BCM, Prometheus, Grafana, or ELK.
• Strong problem-solving, analytical, communication, and teamwork skills.

Culture & Benefits

• Work alongside founders and specialists in AI infrastructure, energy systems, and next-generation computing.
• Gain exposure to AI infrastructure through an NVIDIA Cloud and Engineering partner in the Asia-Pacific region.
• Operate in a founder-led environment with fast decision-making, accessible leadership, and limited bureaucracy.
• Take ownership of work that contributes directly to the stability and growth of large-scale AI infrastructure.
• Participate in team meetings and knowledge-sharing sessions focused on collaboration and continuous learning.