?️ Full-time | Permanent ? Sydney (Hybrid) or Remote (Australia-wide) About Sharon AI Sharon AI is an Australian neocloud, delivering trusted AI infrastructure organisations need to build, train and run AI at scale. We support customers across the full AI lifecycle, from training through to inference and agentic AI, drawing on a strong ecosystem of technology and co-location partners to deliver capability where it's needed. As the first neocloud to join NVIDIA's AI Compute Program, we're growing quickly, scaling our AI Factory platform to meet rising demand for advanced compute. The Role As Sharon AI continues to grow, we're looking for an AI Platform Engineer L2 to help build, operate and support the platform powering our GPU-as-a-Service (GPUaaS) offering, reporting to our Head of Operations. You'll work hands-on with container orchestration, GPU scheduling, MLOps tooling and model serving infrastructure to help customers train and run AI/ML workloads reliably. You'll collaborate closely with Network Engineering, Infrastructure and customer-facing teams. What You’ll Be Doing
• Build and operate Kubernetes, Slurm and container orchestration services on our GPU infrastructure.
• Develop and maintain CI/CD pipelines for model training, fine-tuning and inference.
• Implement MLOps tooling for experiment tracking, model registries and deployment, including MLflow, Kubeflow or Ray.
• Manage multi-tenant GPU scheduling, resource quotas and model serving reliability.
• Build monitoring, logging and alerting for platform health, GPU utilisation and workload performance.
• Automate provisioning and configuration with Terraform, Ansible and scripting.




• Partner with Network Engineering and Infrastructure teams on integration with InfiniBand/RDMA fabric.
• Troubleshoot customer workloads, support onboarding and improve documentation and runbooks.
• Participate in platform incident response, on-call and scheduled maintenance rotations. What We’re Looking For
• 2–4 years’ experience in platform engineering, DevOps, MLOps or SRE, ideally with AI/ML or GPU workloads.
• Hands-on production Kubernetes experience and knowledge of GPU scheduling frameworks.
• Experience with CI/CD, Infrastructure-as-Code and Linux administration.
• Proficiency in Python or Bash scripting and platform troubleshooting.
• Familiarity with MLOps tooling, ML pipelines and observability tools such as Prometheus and Grafana.
• Understanding of networking fundamentals and GPU infrastructure or high-performance computing.
• Strong communication and collaboration skills across technical and customer-facing teams.
• A degree in Computer Science or a related field, and an interest in AI-native infrastructure. Nice to have:
• Experience with Slurm or other HPC schedulers, NVIDIA GPU Operator or NCCL.
• Exposure to distributed training frameworks such as PyTorch or TensorFlow, and InfiniBand/RDMA.
• Experience with MLflow, Kubeflow, Ray, SageMaker or Vertex AI; CKA/CKAD or AWS/GCP/Azure certification.



Why Join Sharon AI? You'll be joining a rapidly growing Australian technology business at an exciting stage of its journey, with the chance to work directly with the infrastructure and technology powering the next generation of AI. ? Hybrid working – flexibility between our office and working from home ? Birthday leave – take some extra time to celebrate your day ? Employee Assistance Program (EAP) – confidential support when you need it ? Exposure to AI and next-generation technology – work in one of the fastest-moving areas of technology ? Learning & development – we support your career growth with approved conferences, professional memberships & courses ? Novated leasing – a tax-effective way to finance and run your car ? Bounty referral program – generous rewards for successfully referring new talent to Sharon AI ? Employee of the month – recognition plus a $500 gift card ? Growing global business – be part of an Australian technology company with an expanding international footprint ? Make an impact – join at a stage where your work can have a visible influence on how we build and grow ? Collaborative culture – work alongside talented people across technical, commercial and corporate teams Our Values Integrity | Innovation | Collaboration | Wellbeing | Inclusion Apply today and help us build the infrastructure powering the next generation of AI. Due to the high volume of applications we receive, we’re unfortunately not always able to provide individual feedback to unsuccessful candidates. We appreciate your understanding and want to assure you that every application will be reviewed with care.

📌 AI Platform Engineer (Australia)
🏢 Sharon AI
📍 Australia