Platform Reliability Engineer

Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. AI FactoryOS Operations AI FactoryOS is Firmus' proprietary operating system for the AI Factory. It governs GPU telemetry, cooling, power and grid interaction as one integrated layer, so that every Firmus site can be optimised and monitored as a single system. AI FactoryOS Operations runs that platform in production and owns the 24/7 reliability of AI FactoryOS, Firmus AI Cloud and the platforms built on them, together with the service levels the estate is measured against. The remit is an engineering one. The function builds the guarded automation, remediation and operational tooling that turn manual response into a software-defined capability, and builds and operates the shared services the estate's own operation depends on. The function works closely with the engineering teams that build the platform, supplying the production evidence that shapes what they fix and what they build next. Role Summary Firmus runs large-scale, state-of-the-art AI infrastructure built on the latest generation of GPU rack-scale systems and operated as one estate to power the next generation of AI innovation. The Platform Reliability Engineer is part of the team that operates the platform services Firmus AI Cloud runs on in production: the GPU compute fleet, exabyte-scale storage, the multi-tenant control and management plane, and the virtualisation and shared services that host it. Together, these are the foundation every customer workload depends on. This is a hands-on site reliability engineering role that works across the stack, from Linux and Kubernetes to storage, virtualisation and the compute fleet. The team runs each service to a declared service level, measures reliability against it, and treats operations as a software problem, engineering repetitive manual work out of the system rather than absorbing it. The role picks up incidents escalated from first response, owns each one through to resolution, and works across teams and vendors to restore service, bringing in specialist engineers when a fault needs deeper investigation. Automation is a first-class part of the role: faults are diagnosed using the observability stack, post-incident reviews feed fixes back into the platform, and every resolved fault is a candidate for a runbook or an automated fix. Key Responsibilities Triage, diagnose and resolve incidents across the stack, including Kubernetes clusters and workloads, storage, virtualisation, network connectivity and the underlying Linux hosts, owning each incident from escalation through to resolution. Operate the multi-tenant control and management plane that Firmus' AI and infrastructure services depend on, including the tenancy, quota and access controls that support separation between tenant workloads and data. Operate the virtualisation platform that hosts the management plane, and the shared services that run on it, to their declared service levels. Operate Firmus' exabyte-scale distributed and high-performance filesystems and S3-compatible object storage to their declared service levels, handling capacity, performance and availability incidents and escalating to specialist engineers and vendors (for example VAST or WEKA) with clear evidence when further investigation is needed. Operate the GPU compute fleet in production: node health and readiness, GPU and node fault detection and handling, firmware and driver currency to the supported baselines, remediation and return to service, and support for cluster provisioning and validation activities. Reduce toil by converting repeat fixes into runbooks and automated remediation delivered as controlled code, contributing to the team's automation and remediation tooling. Diagnose performance problems across the data path between compute and storage, gathering the evidence needed to resolve them and working with network and storage specialists where required. Deliver change as code through the agreed change process, with peer review, testing, staged rollout where applicable, and a rollback plan. Use the observability stack (for example Grafana, Prometheus, Loki and Tempo) to track service level i