Platform Reliability Engineering Manager (AI Infrastructure)

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 across Asia Pacific, including hirify.global AI Cloud and the proprietary AI FactoryOS platform for GPU telemetry, cooling, power, grid interaction, and AI service orchestration.

What you will do

• Lead the platform reliability team, including hiring, onboarding, performance, development, and wellbeing across regions.
• Manage 24/7 on-call and incident command rosters, serve as incident commander during rostered major incidents, and act as the senior technical escalation point.
• Guide diagnosis and recovery for complex infrastructure faults and review root cause analyses, runbooks, and automation.
• Own service level objectives, service performance reporting, incident, change, and problem management, and escalation paths to specialist engineering teams.
• Drive runbook and guarded automation work, production readiness for new and changed services, and permanent remediation of recurring faults.
• Turn incident trends and production evidence into improvement requirements, while managing customer and leadership reporting on service health.

Requirements

• Hands-on engineering experience in infrastructure operations or site reliability engineering, with depth in areas such as Linux, networking, storage, Kubernetes, or virtualisation.
• Significant experience leading a 24/7 operations, SRE, or production engineering team in a large-scale hosting, HPC, telecommunications, data centre, or service provider environment, including on-call rosters and incident response.
• Working ability in scripting or programming, such as Python, Go, or Bash, and infrastructure as code sufficient to review automation and runbook code.
• Working knowledge of SRE practices including service level objectives, error budgets, toil reduction, runbook automation, and production readiness, alongside formal incident, change, and problem management.
• Clear communication and sound judgement under pressure.
• Experience with ITSM, on-call, and observability tooling such as Jira Service Management, ServiceNow, PagerDuty, or Grafana.
• Experience building and developing engineering teams, including hiring at pace, coaching early-career engineers, setting performance expectations, and growing people into senior roles.
• Availability for a 24/7 incident command roster and escalation outside regular hours.

Nice to have

• Major incident commander experience, including stakeholder communication under pressure and post-incident reviews.
• Experience operating GPU, HPC, or AI infrastructure, including failure modes of large-scale distributed training and inference.
• Experience in a multi-tenant service provider, cloud, or colocation environment with customer-facing reporting.
• Experience with contractual response commitments and compliance frameworks such as ISO 27001 or SOC 2.
• Experience setting up an operations function or team, including rosters, escalation paths, and standards.
• Experience leading teams across time zones with follow-the-sun handovers.
• ITIL or an equivalent service management qualification.

Culture & Benefits

• Permanent full-time employment.
• Work within a diverse and inclusive workplace focused on sustainable AI infrastructure.
• Operate with broad direction and a high degree of autonomy while reporting to the Head of AI FactoryOS Operations.
• Lead a team of 5 to 10 engineers and service delivery staff.
• Participate in a 24/7 operational function with first-line monitoring and first response provided by the operations centre.