Senior Curriculum Engineer

Role overview Create practical technical education that helps administrators, developers, AI infrastructure engineers, partners, and solution architects deploy and use enterprise storage and agent-memory systems. You’ll turn engineering material into courses, hands-on labs, and short videos, working with product and engineering teams. The role combines command-line work with recorded instruction and occasional live sessions.

Responsibilities - Build and update courses covering storage installation, configuration, operations, and troubleshooting. - Develop hands-on learning for agent memory and orchestration concepts such as context assembly, agent state, and retrieval. - Convert engineering documentation and demos into training modules, including content tailored to customer deployments and industries. - Create and test lab environments using Terraform, Ansible, and Docker. - Maintain course content in Markdown through Git and GitHub branches and pull-request reviews. - Record and edit short training and demonstration videos, and deliver sessions for internal teams and partners.

Requirements - Working proficiency with Linux and the ability to make technical documentation, specifications, and demos teachable. - At least five years in solutions architecture or a comparable customer-facing technical role. - At least three years with software-defined or cloud storage, or Kubernetes. - At least one year with agentic AI infrastructure or memory and vector platforms. - Comfort with Terraform, Ansible, Docker, Python, and GitHub-based workflows. - Experience teaching live and on camera, plus curriculum development or formal training delivery.

Nice to have - Hands-on experience with established software-defined storage platforms and AI-assisted development tools.

Benefits and work setup - Medical, dental, and vision coverage; a retirement plan with employer contribution; and stock options. - At least 12 public holidays and flexible time off.