Principal Cloud Architect – HPC/GPU & AI Platform Solutions
- LocationHong Kong
- Work typeNot stated
- EmploymentFull-time
- Posted8 November 2026
- SourceOracle's careers page (Oracle Recruiting)
Live checkFirst seen 19 h ago; still listed on Oracle's careers page 2 h ago.
Moves fastWhen Oracle takes a role down early, it is usually about 6 days after posting. Apply soon.
At a glance
- Experience5+ years
- EducationBachelor's degree
- Skills and toolsTerraform, Ansible, Kubernetes, Machine learning, LLMs, Python, AWS, Azure
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Key Responsibilities
- Design and deploy large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure (OCI).
- Architect scalable AI and accelerated computing solutions using Infrastructure as Code (Terraform, Ansible) and Kubernetes.
- Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management.
- Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements.
- Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through production.
- Serve as a trusted technical advisor on Site Reliability Engineerure, migration strategies, and AI infrastructure best practices.
- Deliver customer workshops, architecture reviews, technical presentations, and hands-on enablement sessions.
- Collaborate with Product Management, Engineering, Support, and Sales teams to influence product direction and resolve technical challenges.
- Develop reusable technical assets including solution architectures, reference implementations, demonstrations, blogs, white papers, and competitive positioning materials.
- Build and maintain relationships with strategic AI technology partners to deliver integrated customer solutions.
Required Qualifications
Education
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline (or equivalent practical experience).
Professional Experience
- 5+ years of experience in Pre-Sales, Solution Architecture, Technical Consulting, or Customer Success.
- Experience designing cloud-based HPC, AI, or GPU solutions for enterprise customers.
- Experience engaging with both technical teams and executive stakeholders.
Technical Qualifications
Candidates should demonstrate experience in the following areas:
- HPC and GPU architecture across cloud and on-premises environments.
- Oracle Cloud Infrastructure (OCI) or other leading public cloud platforms.
- Infrastructure as Code using Terraform and Ansible.
- Python, Bash, and PowerShell scripting.
- Kubernetes and container orchestration.
- HPC cluster management platforms including Slurm, PBS, or Bright Cluster Manager.
- High-performance networking technologies including RDMA and InfiniBand.
- MPI and distributed file systems.
- Cloud-native architectures.
- AI/ML platforms, Large Language Models (LLMs), inference services, and AI infrastructure.
Required Skills
Cloud & Infrastructure
- Oracle Cloud Infrastructure (OCI)
- Site Reliability Engineerure
- Infrastructure as Code (IaC)
- Terraform
- Ansible
- Kubernetes
- Containerisation
- Cloud Migration
HPC & AI
- High Performance Computing (HPC)
- GPU Computing
- AI Infrastructure
- Machine Learning Platforms
- Large Language Models (LLMs)
- Agentic AI
- AI Platform Architecture
- Inference Serving
Programming & Automation
- Python
- Bash
- PowerShell
- Automation Frameworks
- Infrastructure Automation
HPC Technologies
- Slurm
- PBS
- Bright Cluster Manager
- RDMA
- InfiniBand
- MPI
- Distributed File Systems
Customer & Consulting
- Solution Architecture
- Technical Consulting
- Pre-Sales
- Executive Presentations
- Customer Workshops
- Technical Enablement
- AI Transformation Strategy
- Cloud Adoption
Soft Skills
- Excellent communication and presentation skills.
- Strong stakeholder management.
- Customer-first mindset.
- Analytical problem-solving.
- Cross-functional collaboration.
- Strategic thinking.
- Ability to simplify complex technical concepts for business audiences.
Preferred Qualifications
- Experience with Oracle Cloud Infrastructure (OCI).
- Experience with large GPU clusters based on Kubernetes and/or Slurm.
- Experience supporting AI startups, research organisations, or enterprise AI programmes.
- Thought leadership through technical blogs, publications, open-source contributions, or conference presentations.
- Oracle Cloud certifications or equivalent cloud certifications (AWS, Azure, or Google Cloud).
- Experience working across UK and EMEA enterprise customers.
Languages
- English
- Mandarin
Success Profile
The ideal candidate will:
- Combine deep technical expertise with outstanding customer engagement skills.
- Be passionate about AI, HPC, and cloud innovation.
- Influence customer technology strategy through trusted advisory relationships.
- Drive adoption of Oracle Cloud Infrastructure across strategic enterprise accounts.
- Thrive in a fast-paced, customer-facing environment while collaborating across multiple Oracle organisations.
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