Platform Engineer: GPU AI Neocloud Orchestration

Sharon AI, Inc; Sharon; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work option

Birthday leave

Employee Assistance Program (EAP)

Novated leasing

Employee of the month

Job summary

Sharon AI, Inc is seeking a Platform Engineer (GPUaaS – AI Neocloud) to design and operate a multi-tenant GPU-enabled platform for AI workloads. You will build orchestration with Kubernetes and Slurm, manage GPU-enabled clusters, and implement IaC with Ansible/Terraform.

You will collaborate with Infrastructure, Operations and Product teams to deliver scalable, secure, and cost-effective AI infrastructure at scale. A hybrid work model is offered across Australia.

Qualifications

• 4–8+ years in platform engineering or SRE.
• Strong experience with Kubernetes and cloud-native infra at scale.
• Experience with GPU workloads, distributed systems, CI/CD and infra automation.

Responsibilities

• Design and operate a multi-tenant GPUaaS platform for AI workloads.
• Build GPU orchestration and scheduling using Kubernetes and Slurm.
• Manage large Kubernetes clusters with GPU nodes and advanced scheduling.

Skills

Kubernetes

Container orchestration

Cloud-native infra

SRE experience

Stakeholder management

Performance & cost optimisation

AI/GPU workloads interest

Collaboration

Tools

Kubernetes

Slurm

Ansible

Terraform

CI/CD pipelines

Job description

Sharon AI, Inc is seeking a Platform Engineer (GPUaaS – AI Neocloud) to design and operate a multi-tenant GPU-enabled platform for AI workloads. You will build orchestration with Kubernetes and Slurm, manage GPU-enabled clusters, and implement IaC with Ansible/Terraform.

You will collaborate with Infrastructure, Operations and Product teams to deliver scalable, secure, and cost-effective AI infrastructure at scale. A hybrid work model is offered across Australia.