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 current 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 Senior Platform Reliability Engineer, Fabric and Interconnect, owns the reliability of the fabrics this estate runs on: the GPU-to-GPU interconnect domains, the high-performance network fabrics carrying training and inference traffic, and the DPU-based host networking that binds compute to the rest of the platform.

This is a hands-on senior role with deep technical expertise . Automation is a first-class part of the role: the team builds and maintains the guarded automation and remediation tooling that turn manual fabric response into a self-healing capability, and the role engages fabric vendors at engineering level, reproducing faults to their standard and holding them to their answers.

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 l

📌 Platform Reliability Engineer (Sydney)
🏢 Firmus Technologies
📍 Sydney