Principal Cloud Architect – HPC/GPU & AI Platform Solutions at Oracle

📍 Job Overview

Job Title: Principal Cloud Architect – HPC/GPU & AI Platform Solutions
Company: Oracle
Location: Dubai, United Arab Emirates
Job Type: On-site
Category: Cloud Architecture
Date Posted: June 30, 2025
Experience Level: 10+ years
Remote Status: On-site (Remote OK)

🚀 Role Summary

HPC & GPU Infrastructure Expertise: Leverage your deep understanding of High-Performance Computing (HPC) and GPU infrastructure to design and deploy complex environments tailored to customers' needs.
AI Platform Engineering: Demonstrate your proficiency in AI platform engineering to deliver cutting-edge solutions that drive business value.
Strategic Cloud Architecture: Apply your strategic thinking to architect cloud solutions that meet customers' unique requirements and drive Oracle Cloud Infrastructure (OCI) adoption.
Customer-Facing Role: Engage with customers, from AI startups to Fortune 500 enterprises, to understand their needs and provide expert guidance throughout the pre-sales and solution delivery processes.

📝 Enhancement Note: This role requires a strong balance between deep technical expertise and strategic, customer-facing skills. Your ability to translate complex technical concepts into business value will be crucial for success.

💻 Primary Responsibilities

Solution Architecture: Design and deploy complex GPU/HPC environments and AI solutions tailored to customers' needs, ensuring optimal performance and scalability.
Pre-sales Consulting: Collaborate with the sales team to understand customer requirements, provide technical guidance, and create compelling proposals that drive OCI adoption.
Solution Delivery: Work closely with delivery teams to ensure smooth implementation, testing, and deployment of customer solutions, meeting project timelines and quality standards.
Technical Leadership: Mentor and guide junior team members, fostering a culture of continuous learning and technical excellence within the organization.
Product Feedback: Gather and provide customer feedback to Oracle's product development teams, influencing the evolution of OCI's HPC, GPU, and AI offerings.

📝 Enhancement Note: Your ability to manage multiple projects, prioritize tasks, and meet deadlines will be essential in this high-impact, customer-facing role.

🎓 Skills & Qualifications

Education: A Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree would be an asset.

Experience: Proven experience (10+ years) in cloud architecture, with a strong focus on HPC, GPU infrastructure, and AI platform engineering.

Required Skills:

Proficiency in cloud architecture and infrastructure design, with a strong focus on OCI.
Deep understanding of HPC and GPU infrastructure, including hardware, software, and best practices.
Solid experience in AI platform engineering, including machine learning frameworks, AI models, and deployment strategies.
Strong customer-facing skills, with the ability to understand customer needs and communicate complex technical concepts effectively.
Excellent problem-solving skills, with a proven track record of designing and implementing innovative solutions.
Strong leadership skills, with the ability to mentor junior team members and drive team success.

Preferred Skills:

Experience with containerization and orchestration tools (e.g., Kubernetes, Docker).
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and AI/ML deployment tools (e.g., MLflow, Kubeflow).
Knowledge of cloud security best practices and compliance requirements.
Experience with cloud cost management and optimization strategies.
Familiarity with Agile development methodologies and project management tools.

📝 Enhancement Note: Your experience with emerging technologies and trends in HPC, GPU infrastructure, and AI platform engineering will be valuable in this role, as Oracle continues to innovate and expand its offerings.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Solution Architecture: Showcase your ability to design and deploy complex GPU/HPC environments and AI solutions by providing detailed architecture diagrams, use cases, and success stories.
Pre-sales Consulting: Demonstrate your customer-facing skills by including examples of proposals, presentations, or customer success stories that highlight your ability to understand customer needs and drive OCI adoption.
Solution Delivery: Highlight your project management skills by including examples of project plans, deployment strategies, and customer testimonials that showcase your ability to deliver high-quality solutions on time.

Technical Documentation:

Architecture Documentation: Provide detailed architecture documentation, including hardware and software components, network design, and security considerations.
Deployment Documentation: Include step-by-step deployment guides, troubleshooting documentation, and any relevant scripts or tools used in the deployment process.
Performance Optimization: Document performance optimization techniques, including benchmarking, load testing, and optimization strategies.

📝 Enhancement Note: Your portfolio should demonstrate your ability to balance deep technical expertise with strategic, customer-facing skills, highlighting your unique value as a Principal Cloud Architect.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Dubai, United Arab Emirates, is AED 450,000 - AED 600,000 per annum, based on market research and industry standards for senior cloud architecture roles with a focus on HPC, GPU infrastructure, and AI platform engineering.

Benefits:

Competitive benefits package, including health insurance, retirement plans, and paid time off.
Opportunities for professional development, including training, certifications, and conference attendance.
A dynamic, collaborative work environment with a strong focus on innovation and continuous learning.
The chance to work with a diverse, global team of cloud architecture experts, driving OCI adoption and shaping the future of accelerated computing.

Working Hours: The standard workweek is 40 hours, with flexible working hours to accommodate project deadlines and maintenance windows. Some on-call responsibilities may be required.

📝 Enhancement Note: Oracle offers competitive compensation and benefits packages for senior cloud architecture roles. Your salary expectations should be aligned with industry standards for senior cloud architecture roles with a focus on HPC, GPU infrastructure, and AI platform engineering in the United Arab Emirates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Oracle is a global leader in cloud computing, providing a comprehensive suite of cloud services, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The company's cloud architecture team plays a critical role in driving OCI adoption and shaping the future of accelerated computing.

Company Size: Oracle is a large, multinational corporation with a strong global presence. As a Principal Cloud Architect, you will work within a large, diverse team of cloud architecture experts, providing you with ample opportunities for collaboration, learning, and growth.

Founded: Oracle was founded in 1977 and has since grown to become one of the world's leading providers of cloud computing services.

Team Structure:

Cloud Architecture Team: You will work within the cloud architecture team, collaborating with other architects, engineers, and product managers to design and deliver cutting-edge cloud solutions.
Sales & Delivery Teams: You will work closely with the sales team to understand customer requirements and create compelling proposals, as well as with delivery teams to ensure smooth implementation and deployment of customer solutions.
Product Development Teams: You will provide customer feedback and insights to Oracle's product development teams, influencing the evolution of OCI's HPC, GPU, and AI offerings.

Development Methodology:

Agile Development: Oracle uses Agile development methodologies to drive innovation and continuous improvement in its cloud offerings.
Collaborative Design: You will work closely with cross-functional teams, including product managers, designers, and engineers, to ensure that customer needs are met and that solutions are designed for scalability, performance, and security.
Customer-Centric Approach: Oracle's cloud architecture team takes a customer-centric approach to solution design and delivery, ensuring that solutions meet customer needs and drive business value.

Company Website: Oracle Cloud

📝 Enhancement Note: Oracle's cloud architecture team is a dynamic, collaborative environment that values innovation, continuous learning, and customer focus. As a Principal Cloud Architect, you will play a critical role in driving OCI adoption and shaping the future of accelerated computing.

📈 Career & Growth Analysis

Web Technology Career Level: Principal Cloud Architect is a senior-level role that requires deep technical expertise and strategic thinking. In this role, you will be responsible for designing and deploying complex GPU/HPC environments and AI solutions, driving OCI adoption, and providing technical leadership to the team.

Reporting Structure: As a Principal Cloud Architect, you will report directly to the Cloud Architecture Manager or Director. You will work closely with the sales team to understand customer requirements and create compelling proposals, as well as with delivery teams to ensure smooth implementation and deployment of customer solutions.

Technical Impact: In this role, you will have a significant impact on Oracle's cloud architecture strategy, driving OCI adoption for high-performance and AI-driven workloads. Your expertise in HPC, GPU infrastructure, and AI platform engineering will be crucial in shaping the future of accelerated computing on OCI.

Growth Opportunities:

Technical Leadership: As a Principal Cloud Architect, you will have the opportunity to mentor and guide junior team members, fostering a culture of continuous learning and technical excellence within the organization.
Product Influence: You will provide customer feedback and insights to Oracle's product development teams, influencing the evolution of OCI's HPC, GPU, and AI offerings.
Career Progression: With your deep technical expertise and strategic thinking, you will be well-positioned to take on more senior roles within Oracle's cloud architecture team, such as Cloud Architecture Manager or Director.

📝 Enhancement Note: As a Principal Cloud Architect, you will have ample opportunities for growth and development within Oracle's cloud architecture team. Your deep technical expertise and strategic thinking will be valuable in driving OCI adoption and shaping the future of accelerated computing.

🌐 Work Environment

Office Type: Oracle's Dubai office is a modern, collaborative workspace that fosters innovation and creativity. As a Principal Cloud Architect, you will work in an open-plan office with dedicated spaces for meetings, brainstorming, and quiet work.

Office Location(s): Oracle's Dubai office is located in the Dubai Internet City, a vibrant technology hub that is home to many of the world's leading tech companies.

Workspace Context:

Collaborative Workspace: You will work in an open-plan office with dedicated spaces for meetings, brainstorming, and quiet work. The office is designed to encourage collaboration and knowledge sharing among team members.
Technical Infrastructure: Oracle's Dubai office is equipped with state-of-the-art technology, including high-speed internet, powerful workstations, and video conferencing facilities.
Work-Life Balance: Oracle values work-life balance and offers flexible working hours to accommodate employees' personal and professional needs.

Work Schedule: The standard workweek is 40 hours, with flexible working hours to accommodate project deadlines and maintenance windows. Some on-call responsibilities may be required.

📝 Enhancement Note: Oracle's Dubai office is a modern, collaborative workspace that fosters innovation and creativity. As a Principal Cloud Architect, you will work in an open-plan office with dedicated spaces for meetings, brainstorming, and quiet work, encouraging collaboration and knowledge sharing among team members.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss your experience, skills, and career goals.
Technical Deep Dive: A detailed technical conversation focused on your expertise in HPC, GPU infrastructure, and AI platform engineering. Be prepared to discuss your experience with cloud architecture, solution design, and deployment strategies.
Customer Scenario: A case study-based interview that simulates a customer scenario. You will be asked to provide technical guidance, create a proposal, and discuss your approach to solution delivery.
Final Interview: A conversation with the hiring manager or a panel of stakeholders to discuss your fit for the role, your career goals, and your expectations for the team and organization.

Portfolio Review Tips:

Solution Architecture: Highlight your ability to design and deploy complex GPU/HPC environments and AI solutions by providing detailed architecture diagrams, use cases, and success stories.
Pre-sales Consulting: Demonstrate your customer-facing skills by including examples of proposals, presentations, or customer success stories that highlight your ability to understand customer needs and drive OCI adoption.
Solution Delivery: Showcase your project management skills by including examples of project plans, deployment strategies, and customer testimonials that demonstrate your ability to deliver high-quality solutions on time.

Technical Challenge Preparation:

Hands-On Exercises: Be prepared to participate in hands-on exercises that demonstrate your ability to design, deploy, and optimize GPU/HPC environments and AI solutions on OCI.
Customer Scenario: Practice your problem-solving skills by working through customer scenarios that require you to provide technical guidance, create a proposal, and discuss your approach to solution delivery.
Architecture Design: Brush up on your architecture design skills by reviewing best practices, design patterns, and industry trends in HPC, GPU infrastructure, and AI platform engineering.

ATS Keywords: (Organized by category)

Cloud Platforms: Oracle Cloud Infrastructure (OCI), Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
HPC & GPU Infrastructure: High-Performance Computing (HPC), GPU, NVIDIA, CUDA, HPC clusters, GPU farms, AI supercomputers
AI Platform Engineering: AI/ML platforms, AI/ML frameworks, AI/ML deployment, AI/ML infrastructure, AI/ML pipelines, MLOps
Cloud Architecture: Cloud architecture, cloud design, cloud deployment, cloud migration, cloud security, cloud compliance
Project Management: Project management, Agile development, Scrum, Kanban, project planning, project delivery, project management tools
Customer-Facing Skills: Customer engagement, customer success, customer relationship management, customer-centric design, customer-centric approach
Leadership Skills: Technical leadership, mentoring, coaching, team building, team management, team development

📝 Enhancement Note: Oracle's interview process is designed to assess your technical expertise, problem-solving skills, and customer-facing abilities. Be prepared to demonstrate your deep understanding of HPC, GPU infrastructure, and AI platform engineering, as well as your ability to provide technical guidance, create compelling proposals, and deliver high-quality solutions on time.

🛠 Technology Stack & Web Infrastructure

Cloud Platform: Oracle Cloud Infrastructure (OCI) is the primary cloud platform used by Oracle's cloud architecture team. Familiarize yourself with OCI's infrastructure, services, and best practices.

HPC & GPU Infrastructure:

Hardware: Familiarize yourself with the latest GPU hardware, including NVIDIA's Tesla series, and understand the hardware requirements for HPC workloads.
Software: Gain expertise in GPU-accelerated software, including CUDA, cuDNN, and other GPU-accelerated libraries. Understand the software requirements for HPC workloads and AI/ML training.
Clusters & Farms: Understand the design and management of HPC clusters and GPU farms, including cluster configuration, load balancing, and resource allocation.

AI Platform Engineering:

AI/ML Frameworks: Gain expertise in popular AI/ML frameworks, such as TensorFlow, PyTorch, and Keras. Understand the differences between these frameworks and their use cases.
AI/ML Deployment: Familiarize yourself with AI/ML deployment strategies, including model serving, A/B testing, and canary deployments. Understand the trade-offs between performance, scalability, and cost.
AI/ML Infrastructure: Gain expertise in AI/ML infrastructure, including data pipelines, feature stores, and model registries. Understand the infrastructure requirements for AI/ML training, deployment, and monitoring.

📝 Enhancement Note: As a Principal Cloud Architect, you will be expected to have a deep understanding of Oracle Cloud Infrastructure (OCI), HPC, GPU infrastructure, and AI platform engineering. Familiarize yourself with the latest hardware, software, and best practices in these areas to ensure your success in the role.

👥 Team Culture & Values

Web Development Values:

Customer-Centric Design: Oracle's cloud architecture team takes a customer-centric approach to solution design and delivery, ensuring that solutions meet customer needs and drive business value.
Innovation & Continuous Learning: Oracle values innovation and continuous learning, encouraging team members to stay up-to-date with the latest trends and best practices in cloud architecture, HPC, GPU infrastructure, and AI platform engineering.
Collaboration & Knowledge Sharing: Oracle fosters a collaborative work environment that encourages knowledge sharing, mentoring, and team building.
Quality & Performance Optimization: Oracle is committed to delivering high-quality solutions that meet or exceed customer expectations. The cloud architecture team is responsible for optimizing the performance, scalability, and security of OCI's HPC, GPU, and AI offerings.

Collaboration Style:

Cross-Functional Teams: Oracle's cloud architecture team works closely with cross-functional teams, including sales, delivery, and product development, to ensure that customer needs are met and that solutions are designed for scalability, performance, and security.
Agile Development: Oracle uses Agile development methodologies to drive innovation and continuous improvement in its cloud offerings. The cloud architecture team works closely with product managers, designers, and engineers to ensure that customer needs are met and that solutions are designed for scalability, performance, and security.
Customer-Focused Design: Oracle's cloud architecture team takes a customer-centric approach to solution design and delivery, ensuring that solutions meet customer needs and drive business value.

📝 Enhancement Note: Oracle's cloud architecture team values innovation, continuous learning, collaboration, and customer focus. As a Principal Cloud Architect, you will be expected to embody these values and contribute to the team's success in driving OCI adoption and shaping the future of accelerated computing.

⚡ Challenges & Growth Opportunities

Technical Challenges:

HPC Workload Optimization: Develop expertise in optimizing HPC workloads for GPU-accelerated computing, including workload partitioning, load balancing, and resource allocation.
AI/ML Model Optimization: Gain experience in optimizing AI/ML models for performance, scalability, and cost-efficiency, including model compression, pruning, and quantization.
AI/ML Model Deployment: Familiarize yourself with AI/ML model deployment strategies, including model serving, A/B testing, and canary deployments. Understand the trade-offs between performance, scalability, and cost.
AI/ML Infrastructure Management: Gain expertise in managing AI/ML infrastructure, including data pipelines, feature stores, and model registries. Understand the infrastructure requirements for AI/ML training, deployment, and monitoring.

Learning & Development Opportunities:

Cloud Architecture Training: Oracle offers comprehensive training programs for cloud architecture, including hands-on labs, workshops, and certifications.
HPC & GPU Infrastructure Training: Familiarize yourself with the latest trends and best practices in HPC and GPU infrastructure by attending industry conferences, webinars, and online courses.
AI/ML Platform Engineering Training: Gain expertise in AI/ML platform engineering by attending industry conferences, webinars, and online courses. Familiarize yourself with the latest trends and best practices in AI/ML training, deployment, and monitoring.

📝 Enhancement Note: As a Principal Cloud Architect, you will face technical challenges that require deep expertise in HPC, GPU infrastructure, and AI platform engineering. Embrace these challenges as opportunities for growth and development, and take advantage of Oracle's learning and development opportunities to expand your skills and knowledge.

💡 Interview Preparation

Technical Questions:

HPC & GPU Infrastructure: Be prepared to discuss your experience with HPC and GPU infrastructure, including hardware, software, and best practices. Demonstrate your understanding of HPC workload optimization, GPU-accelerated computing, and AI/ML model optimization.
AI/ML Platform Engineering: Familiarize yourself with popular AI/ML frameworks, deployment strategies, and infrastructure requirements. Be prepared to discuss your experience with AI/ML training, deployment, and monitoring.
Cloud Architecture: Demonstrate your expertise in cloud architecture, including solution design, deployment strategies, and cloud migration best practices. Be prepared to discuss your experience with cloud security, compliance, and cost optimization.

Company & Culture Questions:

Customer-Centric Design: Prepare to discuss your experience with customer-centric design and your ability to understand customer needs and drive business value.
Innovation & Continuous Learning: Demonstrate your commitment to innovation and continuous learning, and discuss your experience with staying up-to-date with the latest trends and best practices in cloud architecture, HPC, GPU infrastructure, and AI platform engineering.
Collaboration & Knowledge Sharing: Prepare to discuss your experience with collaboration and knowledge sharing, and your ability to work effectively with cross-functional teams.

Portfolio Presentation Strategy:

Solution Architecture: Highlight your ability to design and deploy complex GPU/HPC environments and AI solutions by providing detailed architecture diagrams, use cases, and success stories.
Pre-sales Consulting: Demonstrate your customer-facing skills by including examples of proposals, presentations, or customer success stories that highlight your ability to understand customer needs and drive OCI adoption.
Solution Delivery: Showcase your project management skills by including examples of project plans, deployment strategies, and customer testimonials that demonstrate your ability to deliver high-quality solutions on time.

📝 Enhancement Note: Oracle's interview process is designed to assess your technical expertise, problem-solving skills, and customer-facing abilities. Be prepared to demonstrate your deep understanding of HPC, GPU infrastructure, and AI platform engineering, as well as your ability to provide technical guidance, create compelling proposals, and deliver high-quality solutions on time.

📌 Application Steps

To apply for this Principal Cloud Architect – HPC/GPU & AI Platform Solutions position:

Tailor Your Resume: Highlight your experience with HPC, GPU infrastructure, and AI platform engineering, as well as your customer-facing skills and cloud architecture expertise. Use relevant keywords and phrases to optimize your resume for ATS systems.
Prepare Your Portfolio: Showcase your ability to design and deploy complex GPU/HPC environments and AI solutions by providing detailed architecture diagrams, use cases, and success stories. Demonstrate your customer-facing skills by including examples of proposals, presentations, or customer success stories that highlight your ability to understand customer needs and drive OCI adoption. Highlight your project management skills by including examples of project plans, deployment strategies, and customer testimonials that demonstrate your ability to deliver high-quality solutions on time.
Research Oracle: Familiarize yourself with Oracle's cloud architecture team, its culture, and its approach to solution design and delivery. Prepare thoughtful questions to ask during the interview process, demonstrating your interest in the role and your understanding of the organization.
Prepare for Technical Challenges: Brush up on your architecture design skills by reviewing best practices, design patterns, and industry trends in HPC, GPU infrastructure, and AI platform engineering. Be prepared to participate in hands-on exercises that demonstrate your ability to design, deploy, and optimize GPU/HPC environments and AI solutions on OCI.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Principal Cloud Architect – HPC/GPU & AI Platform Solutions