Principal Cloud Solution Engineer

Key Responsibilities:

• Technical Leadership:
• Oversee the technical pre-sales lifecycle for complex deals, acting as the primary solution architect for client engagements.
• Guide clients through cloud adoption strategies, designing innovative solutions that prioritize their operational and technical requirements.
• Coordinate cross-functional teams (engineering, sales, support) to ensure seamless implementation and customer momentum.
• Strategic Collaboration & Advocacy:
• Cultivate relationships with key stakeholders to align cloud roadmaps with business goals and long-term growth initiatives.
• Develop reusable best practices, frameworks, and assets based on customer feedback to accelerate enterprise-wide cloud adoption.
• Customer Success & Team Development:
• Lead customer onboarding, launches, and events, partnering with support teams to ensure smooth transitions post-sale.
• Mentor junior engineers through technical training and knowledge-sharing to strengthen team capabilities.

Minimum Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience demonstrating technical proficiency.
• Experience:
• 5+ years in customer-facing technical roles, including:
• Engaging executive stakeholders.
• Leading IT transformations, migrations, or large-scale implementations.
• Hands-on experience with public cloud migration (AWS, Azure, GCP, etc.).
• Skills:
• Exceptional communication, presentation, and problem-solving skills.
• Proven ability to translate business challenges into technical solutions.
• Experience collaborating with cross-functional teams and enterprise clients.
• Fluency in both English and Mandarin Chinese (written and verbal).

Preferred Qualifications

• Partnerships: Track record of collaborating with systems integrators, third-party developers, and partners to deliver end-to-end solutions.
• Technical Expertise:
• Hands-on experience with open-source technologies (e.g., Kubernetes, Redis, Kafka) and contributions to open-source projects.
• Deep expertise in at least two of the following domains:
• Generative AI (GenAI)
• LLMOps/MLOps (Large Language Model Operations)
• AI Infrastructure (e.g., large-scale GPU clusters)
• DevOps/IT Operations
• Database Systems
• Networking & Cybersecurity
• Microservices/Service Mesh Architecture
• Cloud-Native Development
• Storage Systems
• Content Delivery Networks (CDNs)
• Certifications: Relevant certifications in public cloud platforms (OCI, AWS, Azure, GCP, Ali Cloud, Tencent Cloud).

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Career Level - IC4