Sr. Director - Backend Engineering

       A successful Senior Director - AI Infrastructure Orchestration will be measured by:

• The time-to-market for AI Infar build, scale and operate
• The resource utilization rate and cost efficiency of the AI compute infrastructure.
• The reliability and uptime of the core AI platform services.
• The talent retention and development within the AI Infrastructure team.

• Select, evaluate, and integrate the core technologies required for the AI stack (e.g., Kubernetes, Kubeflow, Ray, ML frameworks, GPU/accelerator management, distributed file systems).
• Champion infrastructure-as-code (IaC) principles to manage and provision AI resources consistently and at scale.

• 15+ years of progressive experience in software engineering, infrastructure, or platform operations.
• 5+ years of experience leading and managing technical teams, ideally in a Director or Sr. Director level or equivalent capacity.
• Deep, hands-on experience designing and operating large-scale distributed systems and cloud-native architectures
• Proven experience specifically with AI infrastructure orchestration (e.g., using Kubernetes, Kubeflow, or similar MLOps tools) and managing acceleratedcompute resources (GPUs, TPUs etc).
• 15+ years of Cloud backend engineering, Cloud Design, Deployment, DevOps
• 15+ years of experience leading system design, architecture leveraging Private Clouds and AWS and/or Azure/ GCP.
• 10+ years of demonstrable building and operating infrastructure as code. Infra Automation, Comfortable with many flavors of Linux
• 15+ year’s of experience in building high-performance, highly-available and scalable distributed systems in the cloud.
• 15+ year’s of experience in building and managing high-performance, highly-available and scalable Hybrid Cloud cloud environments .
• Excellent cross-group collaboration, outstanding verbal and written communication.

• Expert-level knowledge of containerization and orchestration (Docker, Kubernetes).
• Strong background in DevOps and MLOps principles and tooling.
• Proficiency in at least one modern programming language (e.g., Python, Go).
• Exceptional strategic planning, organizational, and written/verbal communication skills.

• Prior experience managing infrastructure for training and inferecning of large language models (LLMs) or foundation models.
• Experience in a regulated industry with strict compliance requirements.
• AI Private Cloud -Building and operating