甲骨文Principal Cloud Engineer, Technology, China

Contribution: • Strong hands-on capability of migration, integration and cloud project implementation in specific domain. push the consumption growth objective. • Identifying customer needs in specific domain, and driving adoption and expansion. Lead product implementation. optimization, troubleshooting. • Model accountability in technical solution optimization, and ownership of both successes and failures that impact the technical solutions. Challenge: • Handle customer's issues using multiple approaches to identify optimal technical solution in specific domain. • Utilize Oracle and third-party data to gain a strategic, forward-thinking perspective on technical solutions. • Stay informed about evolving technical and business trends that may impact current or future projects. Expertise: • Apply deep knowledge of Oracle Cloud technologies, industry verticals, and market trends to design tailored solutions. • Continuously deepen your product and industry expertise, educating others and leveraging this knowledge to deliver impactful solutions.

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.

Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.