Senior Kubernetes Platform Engineer
Location: Sydney, Melbourne or Singapore
Working model: Four days per week in the office
Salary: Up to $240,000 + superannuation, depending on experience
The prospect
We are partnering with a rapidly growing technology business building high-performance, GPU-enabled infrastructure for modern AI workloads.
They are seeking a Senior Kubernetes Platform Engineer to help engineer, automate and operate the platforms underpinning their AI and accelerated-computing environment.
This is not a traditional DevOps or SRE role.
It is a hands-on platform engineering position for someone who enjoys working close to Kubernetes, Linux, physical infrastructure, GPU platforms, networking, storage and automation.
Kubernetes sits at the centre of the organisation's infrastructure strategy, rather than simply being used as an application deployment layer.
What you'll be doing
Engineering, automating and operating production Kubernetes platforms across large-scale Linux and accelerated-computing environments
Building operational tooling and infrastructure automation using Python, Bash and Ansible
Supporting GPU-enabled Kubernetes infrastructure used for AI training, inference and other high-performance workloads
Automating the provisioning, configuration, maintenance and recovery of Linux-based infrastructure
Working across physical servers, networking, storage, monitoring and platform observability
Improving the reliability, repeatability and performance of Kubernetes environments
Troubleshooting complex issues across Kubernetes, Linux, network, storage and hardware layers
Contributing to platform standards,



deployment patterns, technical documentation and operational runbooks
Working closely with infrastructure, platform, AI and engineering teams in a highly technical environment
What we're looking for
To be considered, you will need:
At least five years' experience developing software, automation platforms, operational tooling or infrastructure automation within large-scale Linux, cloud, HPC or AI environments
Strong hands-on experience with Python, Bash and Ansible
Commercial experience with high-performance GPU infrastructure, or closely related HPC and accelerated-computing environments
Deep Linux systems experience, including server, network and storage configuration, troubleshooting and monitoring
Strong Kubernetes platform engineering experience in production environments
The ability to take high-level technical requirements and turn them into reliable, automated infrastructure solutions
A practical engineering mindset and confidence troubleshooting issues across multiple layers of the platform
Highly regarded experience
Bare-metal Kubernetes or OpenShift
NVIDIA GPU Operator, device plugins, CUDA, DCGM or GPU time-slicing
GPU scheduling, driver lifecycle management and accelerated-compute monitoring
InfiniBand, RDMA,



RoCE or NCCL
Multi-cluster Kubernetes fleet management
Argo CD, Helm, GitOps or Red Hat Advanced Cluster Management
CNI, CSI and distributed storage technologies
Kubernetes control-plane recovery, upgrades and certificate management
Go development or Kubernetes controller and operator development
AI training, inference or computer-vision workloads
Why consider this opportunity?
Work directly with Kubernetes, Linux and GPU infrastructure at the centre of an AI-focused business
Join a technically ambitious engineering environment solving complex infrastructure challenges
Apply your platform engineering experience to real-world AI and accelerated-computing workloads
Work across hardware, networking, storage, Kubernetes and automation, rather than being limited to CI/CD
Develop deeper experience across modern GPU platforms and high-performance infrastructure
Earn up to $240,000 + superannuation, depending on experience
Important information
The role can be based in Sydney, Melbourne or Singapore and requires attendance in the office four days per week.
The organisation is specifically seeking Kubernetes platform engineers with strong Linux and infrastructure automation foundations.
Candidates whose experience is primarily centred on application CI/CD, cloud administration or general DevOps processes are unlikely to be suitable.
If you have built and operated Kubernetes platforms across Linux, GPU, HPC, edge or other infrastructure-intensive environments, we would be keen to hear from you.
#J-*****-Ljbffr

📌 Senior Kubernetes Platform Engineer (Sydney)
🏢 Talenza
📍 Sydney