Senior AI Platform Ops Engineer — GPU & Kubernetes (Hybrid)

Sharon AI, Inc; Sydney; Hybrid; AUD 160,000 - 240,000; Full time

Job summary

Sharon AI, Inc. seeks an experienced AI Platform Operations Engineer (L3) to own and evolve the GPU‑as‑a‑Service infrastructure powering enterprise AI workloads.

You’ll architect platform components across EMEA, leveraging Kubernetes, Slurm and GPU orchestration to enable training, fine-tuning and deployment at scale. This senior role requires hands‑on leadership, design of multi‑tenant scheduling, and end‑to‑end platform reliability, with a focus on automation, observability and cost

Qualifications

• Requires strong background in platform engineering for AI infra.
• Hands-on experience with GPU infrastructure and large-scale AI workloads.
• Experience with CI/CD, MLOps and model-serving environments.

Responsibilities

• Own and evolve AI platform architecture across EMEA GPU clusters (Kubernetes/Slurm).
• Lead CI/CD, MLOps and automation for AI workloads.
• Design multi-tenant GPU scheduling and workload isolation.
• Build high-performance, highly available model-serving infra.
• Drive monitoring, observability and GPU performance optimization.
• Implement IaC using Terraform and Ansible.
• Mentor engineers and support onboarding.

Job description

Sharon AI, Inc. seeks an experienced AI Platform Operations Engineer (L3) to own and evolve the GPU‑as‑a‑Service infrastructure powering enterprise AI workloads.

You’ll architect platform components across EMEA, leveraging Kubernetes, Slurm and GPU orchestration to enable training, fine-tuning and deployment at scale. This senior role requires hands‑on leadership, design of multi‑tenant scheduling, and end‑to‑end platform reliability, with a focus on automation, observability and cost