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In office
Seniority
Architect
Overview
Company
Impact
Profile match
Oracle is an American enterprise technology company founded in 1977 by Larry Ellison, Bob Miner and Ed Oates, and headquartered in Austin, Texas. It built its business on the Oracle Database, still the reference relational engine for large transactional systems, and has expanded into a full applications suite covering finance, human resources, supply chain and customer experience through Fusion Cloud and NetSuite. Its fastest growing segment is Oracle Cloud Infrastructure, which the company has positioned aggressively for AI training and inference workloads through large multi-year capacity contracts.
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 (Required)
- Additional Asian Languages would be advantageous
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.
Career Level - IC4
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