Derivative Path

Cloud Engineer

• Design and own AWS multi-account architectures, including VPC networking, security controls, and shared-services patterns to support AI workloads
• Build and maintain scalable compute environments using ECS Fargate, EKS, and Lambda for both application and model hosting
• Implement Infrastructure as Code (IaC) using AWS CDK (preferred) or Terraform to define and manage the entire AI platform stack
• Develop and manage CI/CD pipelines using GitHub Actions, incorporating blue/green and canary strategies for model deployments
• Architect and operate data services including RDS (Aurora), S3, and Vector Databases (e.g., Pinecone, pgvector) to support RAG and other AI patterns
• Partner with the AI Innovation Group to operationalize models using AWS SageMaker, Bedrock, and Azure OpenAI Service
• Implement comprehensive observability for infrastructure and model performance, monitoring for latency, drift, and resource utilization
• Ensure platform resilience and security, defining disaster recovery strategies and enforcing strict IAM policies for sensitive data.

Senior Platform Engineer – Cloud Architecture, AI Platforms