Collaborate & Lead — Lead discussions and analysis with cross-functional departments to solve and prevent issues before they impact customers
Enable Customers — Provide knowledge transfer and technical guidance to customers, empowering them to better understand and leverage AppLogic Networks solutions
Communicate & Escalate — Serve as the primary liaison between customer operations and AppLogic Networks' Customer Support, Account Management, and engineering teams — managing escalations, status updates, and resolution timelines
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Own the per-application lifecycle execution: inventory assessment, dependency mapping, T-shirt classification, DAC template preparation, target architecture design, interface alignment, IaC deployment, security alignment, and infrastructure smoke testing.
Develop and maintain IaC templates (ARM/Terraform) and CI/CD pipelines for standardized, repeatable provisioning across the Migration Factory.
Ensure security hardening and landing zone alignment for all provisioned resources, working within customer-defined compliance frameworks (GDPR, HIPAA, PCI-DSS as applicable).
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Act as the senior escalation point for the most sophisticated technical issues; build advanced customer simulations and lead resolution across vendors and partners.
Mentor junior Consulting Engineers, build leadership presence through industry events (e.g., Cisco Live, IETF), and use competitive insights to differentiate Cisco solutions.
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience with 9 years overall experience.
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Advanced Modeling: Apply dimensional modeling (Kimball/Inmon) to ensure data structures reflect actual business processes, making them intuitive for AI models and analysts alike.
Automation & Lifecycle Management (DataOps): Implement automated deployment workflows and infrastructure management practices to ensure high reliability, environment consistency, and rapid iteration across the entire data-to-AI lifecycle.
Optimization: Continuously monitor and tune query performance and storage costs to ensure a lean, efficient data environment.
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