About the job

🗓️ Full-time | Permanent | Start ASAP📍 Sydney preferred, Australia-wide remote considered🏡 Hybrid working (if Sydney based)

About Sharon AISharon 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 RoleAs Sharon AI continues to grow, we're looking for a talented Storage Architect to join our Infrastructure team and play a senior technical role in defining, evolving and governing our storage architecture, reporting to our VP of Infrastructure.

In this role, the Storage Architect will own storage strategy across the complete data lifecycle, from ultra-high-performance storage supporting GPU training, inference, checkpointing and AI data pipelines, through to capacity-oriented warm tiers, object storage, backup, archive and tape-based cold storage. You'll bring deep architectural and practical experience with VAST Data and/or WEKA, working closely with our architecture, platform, product, security, procurement, delivery and operations teams to build storage architectures that scale from multi-petabyte deployments towards exabyte-class environments.

• What You'll Be DoingOwn the end-to-end technical strategy and reference architectures for storage across Sharon AI, covering hot/performance, warm/capacity, cold/archive and tape storage, backup, data protection and data lifecycle
• Develop an architecture capable of scaling from petabytes to hundreds-of-petabytes and ultimately exabyte-scale environments
• Establish clear criteria for when data should reside on flash, capacity disk, object storage, archive storage or tape
• Define storage building blocks and scalable units that can be composed into different cluster sizes and customer solutions
• Act as the senior technical authority for high-performance storage supporting large-scale GPU infrastructure
• Ensure the storage architecture does not become a limiting factor to GPU utilisation
• Define economical warm/capacity storage tiers and architect policy-driven movement between performance and capacity tiers
• Define Sharon AI's S3-compatible object storage strategy and own the architecture for long-term cold and archival storage
• Maintain technology roadmaps covering storage hardware, software, media generations and networking requirements
• Support Infrastructure-as-Code approaches, reducing reliance on manual storage administration as fleet scale increases

• What We're Looking For10+ years in enterprise storage, cloud infrastructure, or HPC architecture, including 7+ years leading storage architecture for large-scale distributed environments
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline
• Expert-level storage architecture knowledge and large-scale distributed storage design
• Deep understanding of flash, NVMe, HDD and tape technologies
• Strong understanding of GPU clusters, AI training pipelines, dataset management, high-performance networking, RDMA, InfiniBand and NVIDIA reference architectures
• Demonstrated ownership of technology roadmaps, product strategies and cross-functional architectural governance
• Ability to communicate effectively with executives, customers, engineers, vendors, product and delivery teams
• Commercially aware, able to balance performance, cost, operational complexity, time to deploy, standardisation and vendor lock-in

• Nice to have:Demonstrated production experience with VAST Data at multi-petabyte scale
• Experience supporting NVIDIA AI reference architectures and large GPU clusters (1k+ GPUs preferred)
• Experience with distributed checkpointing
• Experience designing storage platforms that integrate with Kubernetes, GPU schedulers, multi-tenant environments and observability platforms
• Experience in technical business case development and Total Cost of Ownership (TCO) modelling

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

Our ValuesIntegrity | 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.

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