Platform Reliability Engineering Manager

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 Engineering Manager leads the platform reliability team: the engineers who take on incidents escalated from the Global and Site Operation Centres and manage them through to resolution, and the Service Delivery Managers who run incident, change and problem management. Together they work with the operations centres and the specialist engineering teams to keep the estate within the service levels it is measured against.

This is a hands-on technical leadership role, and strong technical competence is a core requirement of it.

The role

is expected to step into complex faults alongside the engineers, guide the diagnosis and recovery, and judge the technical quality of the team's work.

The role

manages the team's 24/7 on-call operation, its escalation paths to the specialist engineering teams, and its service level objectives . The team treats operations as a software problem, and the role leads the work of turning what the team learns into runbooks, guarded automation and permanent fixes.

Key Responsibilities

Lead and manage the platform reliability team, including hiring, onboarding, performance, development and wellbeing across regions.

Manage the team's 24/7 on-call and incident command rosters, with cover across regions.

Serve on the incident command roster and act as incident commander for major incidents on rostered weeks, alongside the Service Delivery Managers.

Act as a senior technical escalation point for the team: join complex faults, guide diagnosis and recovery, and review the technical quality of the root cause analysis, runbooks and automation the team produces.

Manage the service level objectives for the services the team supports, and report service performance to leadership.

Work with the specialist engineering teams on clear escalation paths and response commitments.

Hold the team to its incident, change and problem management practice, and arbitrate when speed and process pull in different directions during an incident.

Drive the team's runbook and automation work, so that common faults are fixed once and handled by runbooks or automation, and engineers have time to build automation between on-call weeks.

Build a clear development path for the team's engineers into senior specialist roles, with mentoring and rotations agreed with the other engineering managers.

Work with the Service Delivery Managers and the engineering teams so that new and changed services are ready to support in production.

Turn production evidence, such as incident trends and repeat causes, into clear improvement requirements for the engineering teams, and follow them to closure.

Manage customer and leadership reporting on service health with the Service Delivery Managers, and attend customer service reviews where contractual response commitments are discussed.

Keep the team's ITSM, on-call and operational tooling fit for purpose.

Skills & Experience

Solid hands-on engineering experience in infrastructure operations or site reliability engineering (Linux, networking, storage, Kubernetes or virtualisation), with the technical depth to lead a recovery, question a diagnosis and judge whether an escalation carries enough evidence.

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 ru