Job Description
We are partnering with a market-leading HealthTech client to architect, scale, and secure their next-generation clinical platforms and sensitive health-data systems. We are seeking a skilled Kubernetes Engineer to represent our organisation and take technical ownership of cluster architecture, deployment automation, and zero-trust container security within a highly regulated digital health environment.
In this role, you will embed as a trusted technical authority alongside our client's platform engineering and clinical software teams. You will be instrumental in deploying highly available Kubernetes clusters, building robust CI/CD delivery engines, configuring fine-grained access controls for sensitive patient data, and optimising cluster compute efficiency.
As the employer of record, we provide full visa and migration support for qualified engineering talent deployed to our clients:
- 482 On-Hire Sponsorship Transfers: Fully supported for qualified candidates currently in Australia on an existing 482 visa looking to transfer sponsorship.
- New 482 Visa Sponsorship: Available for qualified engineers meeting commercial experience and technical requirements.
- Temporary & Working Visa Holders: Open to all working visa holders seeking a direct pathway to employer sponsorship.
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- Cluster Architecture & Deployment: Architect, deploy, and maintain resilient, highly available production Kubernetes clusters across managed cloud platforms (EKS, GKE, or AKS).
- CI/CD & Release Automation: Engineer and maintain automated build, deployment, and scaling pipelines using tools such as Jenkins, GitLab CI/CD, or GitHub Actions.
- HealthTech Security & Compliance: Implement rigorous container security controls—including Kubernetes Role-Based Access Control (RBAC), network policies, pod security standards, and secrets management—to protect sensitive patient information.
- Infrastructure as Code (IaC): Automate and standardise cloud resources, networking, and cluster provisioning using Terraform, Ansible, or Helm.
- Observability & Performance Tuning: Deploy, configure, and manage comprehensive observability stacks (Prometheus, Grafana, ELK/OpenSearch) to monitor cluster health, pod latency, and system events.
- Cost Optimisation & Reliability: Continuously analyse and optimise cluster resource utilisation, workload rightsizing, and cloud infrastructure spend without compromising platform availability.
- Technical Documentation: Author and maintain operational runbooks, architecture diagrams, and disaster recovery procedures for engineering teams.
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- Kubernetes & Container Mastery: Proven commercial track record as a Kubernetes Engineer, Platform Engineer, or DevOps Engineer with deep expertise in Docker and core Kubernetes primitives (Pods, Deployments, StatefulSets, Services).
- Cloud Platform Experience: Hands-on experience configuring managed Kubernetes services (AWS EKS, GCP GKE, or Azure AKS).
- Automation & Scripting: Strong scripting abilities in Python, Bash, or Go for custom automation and tooling.
- Networking Foundations: Solid understanding of container networking, ingress controllers, DNS resolution, and load balancing.
- Location Requirements: Currently residing in Australia with valid work rights or eligibility for 482 visa sponsorship/transfer.
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