What You’ll Do:
You will be part of the Cisco Networking – Compute Solution Engineering team focusing on the design, development, and documentation of Cisco on-premises and hybrid cloud solutions to support customer use-cases and business objectives. Your responsibilities will include:
- Implementing and integrating with technologies such as:
- Cisco AI Ready Infrastructure
- Cisco Splunk
- Cisco Intersight
- Cisco Nexus
- Cisco Unified Computing System (UCS)
- Technology partner offerings
- Designing and developing solutions that require a well-rounded understanding of:
- AI optimized infrastructures and operations
- On-premises data center infrastructure (compute, network, and storage)
- Virtualization
- Hybrid cloud
- Enabling technology adoption and capturing future product and solution requirements while driving customer success.
- Facilitating our customer’s AI journeys
- Developing and delivering technical content and collateral, such as:
- Cisco Validated Designs (CVDs)
- Demo videos
- Whitepapers
- Industry event presentations
Who You’ll Work With
Who You Are
You understand key aspects, technology trends, and requirements specifically centered around the lifecycle of on-premises AI infrastructures and AI Operations.
Minimum requirements for this role:
- 5 years of experience as a technical marketing engineer or comparable technical role with relevant experience
- Experience and knowledge of on-premises infrastructure architectures and configurations (Cisco UCS, Cisco Nexus, etc.)
- Experience with AI enabled infrastructures and AIOps
- Experience with Cisco Splunk Enterprise
- Experience with Cisco Splunk Cloud a plus
- Demonstrated experience in developing and delivering highly technical documentation and presentations
- Proficiency in scripting languages such as Ansible, Python, or JavaScript a plus
- Familiarity with system administration tasks, including managing servers, networks, and databases
- Strong analytical thinking and problem-solving ability