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About the Role
The Principal Kubernetes Engineer, AI Infrastructure will own the technical design and delivery of the backend infrastructure powering the Firmus Kubernetes platform. This hands-on role is responsible for building production-grade cluster lifecycle, control-plane, networking, storage, security, observability, and automation capabilities across GPU-accelerated bare-metal environments. You will solve complex platform engineering problems, set Kubernetes engineering standards, and provide technical sign-off for platform designs, collaborating across teams to create a secure, resilient, multi-tenant platform at AI-factory scale.
Responsibilities
- Define and own the Kubernetes platform reference architecture across management and workload clusters.
- Build and maintain backend services, APIs, controllers, operators, and automation for provisioning, configuring, upgrading, scaling, and retiring Kubernetes clusters.
- Engineer repeatable bare-metal Kubernetes deployment and lifecycle workflows using infrastructure-as-code and automated provisioning technologies.
- Design and operate cluster networking across CNI, ingress, service discovery, DNS, load balancing, network policy, and service mesh.
- Define persistent storage and data service patterns using CSI, Ceph, local NVMe, object storage, backup and restore, and disaster recovery mechanisms.
- Integrate and productionize NVIDIA GPU and Network Operators, device plugins, drivers, DCGM telemetry, scheduling, quotas, and topology-aware placement.
- Establish GitOps and CI/CD patterns for platform software, configuration, policy, and release management.
- Build platform security into the architecture through identity and access control, RBAC, secrets management, policy-as-code, image and software-supply-chain controls, tenant isolation, and auditable change management.
- Define service-level objectives and engineer observability for metrics, logs, traces, events, capacity, and performance.
- Lead diagnosis of complex distributed systems failures and eliminate recurring operational toil.
- Set engineering standards, design patterns, review practices, and operational readiness criteria.
- Mentor senior engineers and resolve cross-team technical decisions while remaining directly involved in implementation.
Requirements
- 10+ years of progressive infrastructure, systems, or platform engineering experience.
- Substantial ownership of production Kubernetes platforms.
- At least 3 years operating at senior staff, principal, or equivalent level.
- Deep knowledge of Kubernetes internals, including the API server, etcd, scheduler, controller manager, kubelet, admission, CRI, CNI, CSI, reconciliation patterns, upgrades, and control-plane failure modes.
- Demonstrated experience designing, building, and operating highly available, multi-cluster Kubernetes platforms on bare metal, private cloud, or hybrid infrastructure.
- Strong software engineering ability in Go, with practical Python and Bash skills.
- Experience building Kubernetes operators, controllers, admission webhooks, CLIs, or platform services.
- Expert Linux systems knowledge, including namespaces, cgroups, systemd, kernel and container runtime behaviour, performance analysis, and low-level troubleshooting.
- Strong Kubernetes networking expertise across Cilium, Calico, or equivalent CNI implementations, plus load balancing, DNS, ingress, BGP, network policy, and multi-network architectures.
- Strong infrastructure automation and GitOps experience with tools such as Terraform, Ansible, Argo CD, Flux, GitHub Actions, GitLab CI, or Jenkins.
- Practical experience with Kubernetes security and governance, including RBAC, OPA Gatekeeper or Kyverno, secrets management, certificate lifecycle, image security, and workload isolation.
- Experience implementing production observability with Prometheus, Grafana, OpenTelemetry, Loki, Elasticsearch, or equivalent technologies.
- Experience with GPU-enabled Kubernetes infrastructure, NVIDIA GPU Operator, accelerator scheduling, RDMA networking, and distributed AI workload requirements.
- Experience with distributed storage and data services such as Ceph, CSI-backed storage, object storage, backup and restore, and disaster recovery.
- CKA-level expertise is expected.
- Clear technical judgement and communication, with a record of influencing architecture across software, networking, security, platform, and operations teams.
Skills
- Kubernetes
- Go
- Python
- Bash
- Linux
- Cilium
- Calico
- Terraform
- Ansible
- Argo CD
- Flux
- GitHub Actions
- GitLab CI
- Jenkins
- RBAC
- OPA Gatekeeper
- Kyverno
- Prometheus
- Grafana
- OpenTelemetry
- Loki
- Elasticsearch
- NVIDIA GPU Operator
- RDMA
- Ceph
- CSI
- Cluster API
- kubeadm
- Redfish
- PXE
- Ironic
- Metal3
- CNI
- Multus
- SR-IOV
- BGP
- InfiniBand
- RoCE
- CSI
- NVMe
- GitOps
- CI/CD
Location
- Sydney, NSW, Australia
- Launceston, TAS, Australia
Work Type
- Full-time
Experience Level
- Principal
- Senior Staff
Education Level
- Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent depth of practical engineering experience.
- CKA, CKS, or relevant cloud-native certifications are strongly preferred.
About the Company
- 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.
- We design, build, and operate a new class of digital infrastructure – the AI Factory.
- Our model-to-grid technology approach pushes the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction.
- Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale.
- It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings.
- We are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale.
Equal Opportunity
- 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.