Systems Engineer

• Leading a team of subject matter experts (SMEs) to support engineering design decisions across enterprise systems and AI infrastructure
• Shaping the technical foundation for scalable, high-performance computing environments and advanced AI platforms
• Overseeing architecture and optimization of core systems components including compute, storage, and databases
• Driving innovation in virtualization, container orchestration, and infrastructure automation
• Providing strategic leadership in deploying AI infrastructure and integrating emerging technologies into the enterprise stack
• Collaborating with research teams and fostering internal R&D initiatives to promote innovation
• Designing and implementing enterprise compute platforms and GPU-accelerated clusters (e.g., Nvidia Superpods)
• Architecting scalable storage and database systems to ensure performance and resilience
• Driving automation and orchestration using tools like Kubernetes, Terraform, and Ansible
• Guiding system architecture decisions for hybrid cloud and distributed systems
• Managing vendor relationships to align external capabilities with internal goals
• Supporting AI/ML workloads through infrastructure design and deployment

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