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. 

Senior Platform Security Engineer 
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 Security Engineer owns the operational security of that platform.  The multi-tenant Kubernetes estate sits at its heart: production access, admission policy, workload identity and network policy in the live estate, and the operational security controls that keep it defensible as it grows. 

This is a hands-on senior role with deep technical expertise. This role owns security in production: the technical response to security incidents on the function's 24/7 security on-call roster, runtime visibility and enforcement built with modern eBPF-based tooling, the security acceptance requirements a release has to meet before it is authorised, the authority to grant or refuse a security exception, and the deepest technical escalation for security-related platform faults. 

Key Responsibilities 

• Lead the technical response to security incidents across the estate as part of the 24/7 security on-call roster: triage alerts and reports escalated from first response, distinguish a security signal from an ordinary operational symptom, contain the threat, remove the cause and recover affected services, working under the incident commander, who holds the incident record, communications and customer commitment. 

• Preserve and handle evidence during security incidents, including logs, host and container captures and access records, with a recorded chain of custody, so that findings stand up to customer, legal and regulatory scrutiny, and provide the technical input to any customer, contractual or regulatory notification made by the accountable leaders. 

• Own the security incident playbooks for the estate's main threat scenarios (for example credential or key compromise, a breach of tenant isolation, a malicious or compromised workload, and software supply-chain compromise), keep them executable by any engineer on the roster, and test them through regular exercises with the incident commanders and the wider function. 

• Build runtime visibility and enforcement using eBPF-based tooling (for example Cilium, Falco or Tetragon), feeding high-quality signal into the estate's security monitoring, tune detection so that alerts stay actionable as the estate grows, and turn repeat findings into guarded automated response where it is safe to do so. 

• Own the security gates in the delivery pipeline: image signing, software bills of materials, vulnerability gating and policy checks, and maintain the policy-as-code controls that govern what ships to production, running on the delivery toolchain operated by Shared Services Operations. 

• Set and own the security content of the multi-tenant Kubernetes estate: admission policy, workload identity and network policy, and verify that what runs in production matches it. 

• Set the operational security standard the platform's Kubernetes control planes and baselines must meet in production, validate against it continuously, and raise deviations as engineering requirements to the AI Infrastructure team. 

• Validate the layered controls that limit the blast radius of a fault or compromise across tenant boundaries, test them against realistic failure and attack paths, and feed the findings to AI Infrastructure where the control belongs to the product. 

• Operate the platform's security controls in line with ISO 27001 and NIST frameworks, applying deep expertise in securing large-scale GPU infrastructure, and produce the security evidence those controls generate for collation by the Service Delivery Manager. 

• Provide the deepest technical expertise for security-related platform faults, lead post-incident review for security incidents and drive the resulting fixes to closure through the problem record, and mentor engineers across the function on secure design, runtime security and incident response practice. 

• Provide independent monitoring of privileged activity across the estate, including on the identity, certificate and secrets platforms, using the access mechanisms built by the Principal Platform Identity Engineer. 

Skills & Experience 

Required Skills 

• Strong experience of privileged access security, including least-privilege design, secrets management, and the auditing of privileged operations in production environments. 

• Strong experience securing multi-tenant Kubernetes environments, including admission policy, workload identity, network policy and control plane hardening. 

• Extensive experience with eBPF-based runtime security tooling (for example Cilium, Falco or Tetragon), including building detection and enforcement that feeds a security monitoring platform. 

• Strong DevSecOps experience owning security gates in a delivery pipeline: image signing, software bills of materials, vulnerability gating and policy checks. 

• Solid understanding of hardware-enforced or network-based tenant isolation, and how it interacts with Kubernetes-level policy. 

• Experience with policy-as-code tooling for Kubernetes and delivery pipelines. 

• Demonstrated experience as a senior escalation point for security-related faults in a 24/7 production environment, including post-incident review. 

• Practical incident investigation skills on Linux and Kubernetes, including analysing logs, process and network activity, and container and host artefacts to work out what happened and how far it spread. 

• Strong scripting or programming ability for security automation and tooling (for example Python, Go or Bash). 

• Clear technical judgement and communication, with the ability to translate security findings and standards for engineering teams and leadership. 

Preferred Experience 

• Experience securing GPU or HPC infrastructure and multi-tenant AI workloads. 

• Experience in a multi-tenant service provider, cloud or colocation environment. 

• Experience with workload identity and secrets management patterns, and how runtime enforcement ties back to them. 

• Experience with security frameworks and evidence production under ISO 27001, SOC 2 or NIST frameworks. 

• Experience with incident response frameworks and practice, such as NIST SP 800-61, and with running incident response exercises or tabletop tests. 

• Experience with digital forensics and incident response tooling for Linux, cloud and container environments. 

• Relevant security certification (for example GCIH, GCFA, OSCP, or a Kubernetes security credential). 

• A Bachelor's degree in computer science, engineering or a related discipline, or an equivalent combination of relevant experience and training. 

Expected Outcomes 

• Security incidents contained and resolved within the targets set by the severity model, with evidence preserved, the incident record complete, and post-incident actions closed by their agreed dates. 

• Security incident playbooks in place for the main threat scenarios, exercised on a regular schedule, and executable by any engineer on the security roster. 

• Runtime detection covering the estate, with an alert set that stays actionable as the estate grows. 

• Every production release meeting the security acceptance requirements, with exceptions owned, time-bound, compensating-controlled and on the register. 

• The operational security standard for Kubernetes validated continuously in production rather than asserted at design time. 

• Blast radius controls tested against realistic failure and attack paths, with findings closed or evidenced to the platform engineering teams. 

• Security evidence produced through normal operation rather than assembled before an audit. 

  

Location & Reporting 

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

On-call: The function runs 24/7. First line monitoring and first response sit with the operations centre. This role shares the 24/7 security on-call roster with the other Senior Platform Security Engineers, and works under the duty incident commander during major security incidents. 

Reporting to:  Reports to the Head of AI FactoryOS Operations while the function is being established, working under broad direction with a high degree of autonomy and direct access to the decision makers. As the function reaches its planned structure, the role will report to the Platform Security Operations Manager, with the Head of AI FactoryOS Operations remaining accountable for the function. The scope, level and remit of the role do not change under either arrangement. 

 

Employment Basis 

Full-time 

 

Diversity 

At Firmus, we are committed to building a diverse and inclusive workplace. We encourage applications  
from candidates of all backgrounds who are passionate about creating a more sustainable future  
through innovative engineering solutions. 

Join us in our mission to revolutionize the AI industry through sustainable practices and  
cutting-edge engineering. Apply now to be part of shaping the future of sustainable AI infrastructure.