Principal Engineer, Platform (AI Infrastructure)

Location: Based in Australia or Singapore; the listed location is Sydney, New South Wales, Australia

Company

hirify.global Technologies develops and operates energy-efficient AI infrastructure and the hirify.global AI Cloud GPU platform across Asia Pacific.

What you will do

• Own the architecture and multi-site management plane for the engineering platform across public cloud and company data centres.
• Design repeatable scaling units, self-managed Kubernetes and hypervisor clusters, site deployment kits, recovery processes, and zero-downtime upgrades.
• Build an API-first golden path with self-service provisioning, service catalogues, scorecards, multi-cluster deployment, and progressive release management.
• Set platform SLOs, error budgets, incident response practices, secure delivery standards, and automated compliance for SOC 2 Type 2 and ISO 27001.
• Provide platform services for secrets, certificates, single sign-on, mutual TLS, short-lived credentials, patching, and cost control.
• Lead technical decisions, design reviews, mentorship, hiring assessments, roadmap planning, and collaboration with infrastructure, network, security, software, data, and observability teams.

Requirements

• Bachelor’s degree in computer science or a related technical field, or equivalent practical experience.
• 10+ years in platform, infrastructure, or software engineering, including at least 3 years at principal level or equivalent.
• Hands-on ownership of infrastructure as code, CI/CD, GitOps, progressive rollout, rollback, artifact provenance, and security gates.
• Experience building and operating Kubernetes across self-managed virtualised infrastructure, public cloud such as AWS, and multiple sites.
• Deep knowledge of Kubernetes internals, networking, storage, admission control, secrets management, certificate automation, and fleet patching.
• Strong Go or Python skills, experience running reliability programmes, and clear written and verbal communication in English; participation in on-call and occasional overseas travel is required.

Culture & Benefits

• Work on sustainable AI infrastructure designed to improve energy efficiency and reduce the cost of AI compute.
• Collaborate across platform, infrastructure, network, security, software, data, observability, product, and site-delivery functions.
• Participate in technical leadership through design reviews, code reviews, mentorship, and architecture decision records.
• Full-time employment with a diversity and inclusion commitment.