Customer Success (post-sales) Engineer

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.