Cloud Engineer_Linux
Indexed description
Acts as a trusted advisor by leveraging deep product knowledge to tailor cloud solutions to client business needs. Guides customers through product features, benefits, presentations, demos, and industry benchmarks so they understand the value proposition. Provides ongoing support throughout the sales cycle to help secure successful deals and long-term adoption.
Responsibilities
Contribution:
- Demonstrate strong hands-on capability in cloud project implementation, operations, and post-sales support, while driving cloud consumption growth.
- Master cloud support and operations processes and tools, and communicate effectively with backend and product teams to resolve customer issues.
- Understand customer needs, drive adoption and expansion, and deliver high-quality implementation, optimization, and troubleshooting.
- Take accountability for technical solution optimization and ownership of outcomes, including successes and failures that affect customer solutions.
Challenge:
- Resolve customer issues using structured troubleshooting methods and multiple technical approaches to identify the optimal solution.
- Utilize Oracle internal support and product teams to manage SLAs, resolve customer issues, and improve support efficiency.
- Build strong relationships with internal stakeholders and customers, managing customer portfolios to support long-term partnerships.
- Stay informed about evolving technical and business trends that may impact current and future projects.
Expertise:
- Apply knowledge of Oracle Cloud technologies, industry verticals, and market trends.
- Master internal support processes and tools, with strong English oral communication, listening, reading, and writing capabilities.
- Continuously deepen product and industry expertise, educate others, and leverage this knowledge to deliver impactful solutions.
Preferred qualifications:
- Working Experience: 1-5 years of relevant working experience in cloud, IT operations, infrastructure, solution engineering, or technical support is preferred.
- Customer Behavior and Adoption: Understand digital and traditional customer behaviors and how they influence product strategy, program design, and sales cycles.
- Growth Mindset and Learning Agility: Demonstrate a strong growth mindset, the ability to learn quickly, and the capacity to absorb and apply new technologies in a dynamic cloud support and operations environment.
- Customer/Client Knowledge: Possess in-depth knowledge of supported customers' business objectives, Oracle Cloud terminology, processes, team structures, and industry landscapes.
- Oracle Cloud Knowledge: Be familiar with Oracle Cloud technologies, market trends, and buyer personas.
- Specific Domain Area: Demonstrate deep skills in at least one specific domain, align technical solutions with customer objectives, and choose the best solution to deliver measurable value.
- Software and Infrastructure Development: Experience designing scalable, distributed systems for cloud environments.
- Technology Solutions: Ability to stay ahead of technology trends, learn quickly, and apply emerging solutions in the cloud and IT space.
Technical Depth:
- Linux and Cloud Virtualization: Hands-on Linux system administration or operations experience and practical knowledge of cloud virtualization technologies is a must.
- Possess in-depth knowledge and hands-on experience in at least two of the following areas are preferred:
- GenAI/MLOps / LLMOps
- IT operations / DevOps
- Database systems
- Big data and data streaming platforms
- Search and analytics platforms
- Kubernetes and cloud-native infrastructure
- Networking
- Cybersecurity
- Service architecture, microservices, and service mesh
- Cloud-native application development
- Hosted services / managed services
- Storage systems
- Cloud virtualization
- Linux and open-source ecosystems
产品及解决方案介绍:
Oracle公有云解决方案OCI:https://www.oracle.com/cn/cloud/
客户为什么选择OCI:https://www.oracle.com/cn/cloud/why-oci/
PaaS:https://www.oracle.com/cn/cloud/paas.html
IaaS:https://www.oracle.com/cn/cloud/iaas.html
Oracle AI:https://www.oracle.com/artificial-intelligence/
Oracle Generative AI:https://www.oracle.com/artificial-intelligence/generative-ai/
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