AI Platform Engineer (GPUaaS), EMEA

🗓️ Full-time | Permanent

📍 EMEA

🏡 Fully Remote

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

We’re looking for a talented AI Platform Engineer (GPUaaS) to help build and operate SharonAI’s next-generation AI neocloud platform across EMEA.

You’ll play a key role in delivering high-performance, scalable GPU infrastructure, enabling enterprise customers and internal teams to power AI training, fine-tuning and inference at scale. This is a hands-on engineering opportunity for someone passionate about cloud-native technologies, distributed systems and the evolving AI infrastructure landscape.

What You’ll Be Doing

• Build and operate a scalable, multi-tenant GPU-as-a-Service platform.
• Develop GPU orchestration and scheduling capabilities using Kubernetes and Slurm.
• Manage high-performance Kubernetes clusters and GPU workloads.
• Drive infrastructure automation using Terraform and Ansible.
• Build self-service APIs, CLIs and tools for GPU provisioning and management.
• Develop CI/CD pipelines and improve platform reliability.
• Optimise GPU utilisation, performance and infrastructure costs.
• Champion security, tenant isolation and platform observability.
• Collaborate across engineering, infrastructure and AI/ML teams to deliver reliable production environments.
• Contribute to incident response and continuous platform improvement.

What You’ll Bring

• Demonstrated experience in platform engineering, cloud infrastructure or distributed systems.
• Strong hands-on expertise in Kubernetes and container orchestration.
• Experience operating cloud-native infrastructure across AWS, GCP or Azure.
• Practical experience with GPU workloads and distributed computing.
• Programming proficiency in Python, Go or Bash.
• Experience with Infrastructure-as-Code, particularly Terraform and Ansible.
• Understanding of CI/CD, monitoring and observability tools such as Prometheus, Grafana or Datadog.
• Knowledge of AI/ML training and inference environments.
• A security-first mindset and understanding of multi-tenant infrastructure.

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

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.