Senior Platform Reliability Engineer (AI)

Location: Based in Australia or Singapore, with travel to Australian AI Factory sites as required.

Company

hirify.global Technologies develops and operates energy-efficient AI infrastructure, including the hirify.global AI Cloud and AI FactoryOS platforms, across Asia Pacific.

What you will do

• Operate the multi-tenant control and management plane, including tenancy, quota, and access controls.
• Run exabyte-scale distributed filesystems, high-performance storage, and S3-compatible object storage to defined service levels.
• Operate the production GPU fleet, including node health, fault handling, firmware and driver baselines, remediation, and hardware replacement workflows.
• Build guarded automation, remediation tooling, provisioning frameworks, and CI/CD processes that support self-healing operations.
• Diagnose and tune performance across Linux, networking, software-defined storage, RDMA, GPU Direct Storage, RoCE, and InfiniBand data paths.
• Lead major-incident recovery, production-readiness reviews, patching and vulnerability remediation, vendor escalations, runbook development, and senior-engineer mentoring.

Requirements

• 8+ years of infrastructure, systems, or platform engineering experience, including ownership of production storage and shared infrastructure services in a 24/7 environment.
• Extensive experience with scale-out or parallel storage such as VAST, WEKA, Ceph, Lustre, GPFS, or NetApp.
• Expert-level Linux knowledge covering storage and filesystem internals, kernel and driver behavior, networking, memory, I/O, and performance analysis.
• Experience operating virtualization platforms, observability infrastructure, Kubernetes, infrastructure-as-code, GitOps, and operational automation using Python, Go, or Bash.
• Experience with major-incident response, on-call escalation, post-incident reviews, vendor escalation, runbooks, least privilege, secrets management, certificates, and audited privileged operations.
• Must be based in Australia or Singapore and able to travel to Australian AI Factory sites as required.

Nice to have

• GPU or HPC infrastructure operations experience, including distributed training and inference environments.
• Experience with multi-tenant cloud, service-provider, colocation, GPU-enabled Kubernetes, or bare-metal provisioning environments.
• Knowledge of hardware lifecycle management, DPUs, SmartNICs, InfiniBand, RoCE, policy-as-code, software supply-chain controls, ISO 27001, or SOC 2.
• Bachelor's degree in computer science, engineering, or a related discipline, or equivalent experience and training.

Culture & Benefits

• Permanent full-time employment.
• Participation in a shared after-hours escalation roster within a 24/7 operations function.
• High degree of autonomy, broad technical direction, and direct access to decision makers.
• Opportunity to work on large-scale, sustainable AI infrastructure and GPU systems.
• Inclusive workplace welcoming candidates from diverse backgrounds.