Experience

• Participating in an on-call rotation to support our production and Dev/QA AWS EKS and VMC environments• Led a production deployment of a new AI application on AWS EKS by setting up AWS VPC, RDS, MongoDB, CNAMEs in CloudFlare, a Redis metrics exporter, Bedrock Knowledge Bases with S3 buckets, Grafana dashboards and alerts, and adapting an existing Jenkins pipeline to support future releases • Refactored a Python CLI tool to report EBS volume usage across our AWS accounts and regions, enabling identification of unused volumes and potential cost-saving opportunities• Created Blackbox exporters to monitor health endpoints of 30+ production micro-services, improving visibility into availability and response latency• Installed and configured Prometheus exporters using Helm charts to enhance Redis observability

• Managed & provided on-premise HashiCorp Vault Clusters for Workday's Infrastructure Organization as a critical service, each cluster handled millions of requests daily• Rotated intermediate certificate authorities for our internal clients• Created Grafana Dashboards for more visibility into our load balancer pools• Led incident responses

• Threat modeled our Vault service, identifying risks and mitigation plans• Automated observability updates by creating and integrating a custom Prometheus metric• Utilized IaC (Terraform) to deploy client and Vault changes• Led internal client consultations and onboardings• Defined Latency and Availability SLIs for our Vault clusters• Managed server resources with Chef

• Automated the Terraform deployment workflow for onboarding internal engineering teams to a HashiCorp Vault cluster.• Deployed Atlantis in Workday’s Private Cloud and integrated it with our team’s GitHub PRs• Customized Atlantis workflows to support changes to environment-specific folders & shared modules• Developed Conftest policies to identify security risks in Terraform plans