5-8 years of hands-on experience in security, data security, or a related engineering function, with practical expertise in encryption, KMS/HSM, and cloud security.
Own and drive the end-to-end architecture, technical strategy and engineering delivery of a scalable AI inference and GPU compute platform, from initial design through production deployment.
Lead the discovery-to-deployment journey, serving as the lead developer for AI applications and transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems and MCP servers) that drive measurable return on investment.
Responsible for leading the strategy, delivery and operations of all our cloud-related platforms, data centers, global networks and service delivery management
Partner with Account teams and Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
Design, build and operate secure, scalable infrastructure on AWS and Azure across compute, storage, networking, identity and managed services, following the AWS and Azure Well-Architected Frameworks.
Responsible for understanding company technical environment: Gathers business insights, and maps architecture and digital transformation solutions to the business outcomes
Administer and maintain Windows Server and Linux environments, including installation, configuration, user and access management, patching, hardening, performance tuning, and troubleshooting.