Senior Platform Security Engineer (Kubernetes)

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

Company

hirify.global operates large-scale GPU infrastructure and AI FactoryOS, a proprietary platform for managing telemetry, cooling, power, grid interaction, and AI cloud operations across its sites.

What you will do

• Build and operate eBPF-based runtime visibility and enforcement using tools such as Cilium, Falco, and Tetragon.
• Own delivery-pipeline security gates covering image signing, software bills of materials, vulnerability gating, and policy checks.
• Define and validate admission policy, workload identity, network policy, and control-plane security for the multi-tenant Kubernetes estate.
• Test tenant-isolation and blast-radius controls against realistic failure and attack paths, and provide findings to platform engineering teams.
• Investigate security-related operational anomalies, lead technical escalation for platform security faults, and contribute to post-incident reviews.
• Monitor privileged activity across identity, certificate, and secrets platforms while producing operational security evidence.

Requirements

• Strong experience with privileged-access security, least-privilege design, secrets management, and production auditing.
• Extensive 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 and detection or enforcement integrated with security monitoring.
• Strong DevSecOps experience with image signing, software bills of materials, vulnerability gating, policy checks, and policy-as-code.
• Experience with tenant isolation, security escalation in 24/7 production environments, post-incident reviews, and security automation using Python, Go, or Bash.
• Ability to be based in Australia or Singapore and travel to Australian AI Factory sites when required.

Nice to have

• Experience securing GPU or HPC infrastructure and multi-tenant AI workloads.
• Experience in a cloud, colocation, or multi-tenant service-provider environment.
• Experience with ISO 27001, SOC 2, or NIST frameworks and security evidence production.
• Relevant security certification such as OSCP, GCFA, or a Kubernetes security credential.
• Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent experience and training.

Culture & Benefits

• Work within a 24/7 operations function supporting production AI infrastructure.
• Share the after-hours escalation roster with other senior engineers.
• Collaborate with AI Infrastructure, Shared Services Operations, and Service Delivery teams.
• Operate security controls in line with ISO 27001 and NIST frameworks.