Hybrid working (if near a Sharon office)
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 solid 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 a talented Platform Engineer (GPUaaS – AI Neocloud) to join our Platform team and play an important role in building and operating our high-performance AI neocloud platform, reporting to our Head of Platform.
In this role, the Platform Engineer will help deliver scalable, reliable and cost-efficient GPU-as-a-Service for AI/ML workloads including training, fine-tuning and inference at scale. You'll work closely with fellow Platform engineers and developers, Infrastructure and Operations teams, and Product stakeholders, with exposure to cutting-edge technology at the forefront of AI infrastructure.
What You'll Be Doing
Design and operate a multi-tenant GPUaaS platform supporting AI workloads
Build GPU orchestration and scheduling systems using Kubernetes and Slurm
Manage high-performance Kubernetes clusters with GPU nodes and advanced workload scheduling
Develop Infrastructure-as-Code using Ansible and Terraform
Create self-service APIs, CLI tooling and portals for GPU provisioning




Build CI/CD pipelines for platform services and maintain strong observability and monitoring
Collaborate with other teams on AI training and inference workflows
Optimise GPU utilisation, platform performance and cost efficiency
Own platform reliability, security and isolation across multi-tenant environments, including incident response and continuous improvement
What We're Looking For
4–8+ years' experience in platform engineering or Site Reliability Engineering (SRE)
Strong experience with Kubernetes, container orchestration and cloud-native infrastructure at scale
Experience working with GPU workloads, distributed systems, CI/CD and infrastructure automation
Strong communication and stakeholder management skills
Ability to manage competing priorities in a fast-paced environment
A proactive, collaborative and solutions-focused approach
Strong attention to performance, cost optimisation, security and operational detail
A genuine interest in AI, technology and what Sharon AI is building
Nice to have:
Experience with GPUaaS or high-performance computing (HPC) platforms
Knowledge of ML frameworks and platform technologies such as PyTorch, TensorFlow, Ray, Kubeflow or Airflow
Understanding of GPU technologies such as CUDA and NCCL, with relevant cloud certifications desirable
Why Join Sharon AI?




You'll be joining a rapidly growing Australian technology business at an exciting stage of its journey, with the opportunity 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
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.
#J-*****-Ljbffr

📌 Platform Engineer (Gpuaas – Ai Neocloud) (Bundaberg Central)
🏢 Sharon AI
📍 Bundaberg Central