Role overview
Support enterprise customers as they deploy and operate distributed block storage and AI cache technologies. The role combines post-sales troubleshooting, deployment guidance, customer training, and close work with engineering to turn field feedback into product improvements.
Responsibilities
- Diagnose customer issues and coordinate solutions with internal engineering teams.
- Install and configure storage clusters, validate networking and storage settings, and document operating baselines.
- Advise on capacity planning, performance monitoring, and automation integrations such as Ansible.
- Plan and validate software upgrades, operating system updates, and security patches.
- Create and deliver training for customer technical teams, and share operational knowledge internally.
- Contribute small features, enhancements, or fixes based on customer needs and field observations.
Requirements
- At least three years in customer-facing technical support, systems engineering, or a post-sales role.
- Practical experience with enterprise storage systems and server hardware troubleshooting.
- Strong Linux administration and shell scripting skills, plus a solid understanding of networking such as Ethernet and TCP.
- Strong debugging ability and familiarity with enterprise support workflows, including tickets and proactive monitoring.
- Clear written and verbal communication, a collaborative approach, and the ability to work independently.
- Willingness to travel as needed.
Nice to have
- Python or another scripting language.
- Familiarity with system security and performance benchmarking or monitoring tools.
- A relevant bachelor's degree or equivalent experience.
Benefits and work setup
- Remote role based in the United States; Eastern Time Zone candidates are preferred.