Ensured Reliability at Scale: Managed Datadog’s multi-tenant cloud infrastructure spanning hundreds of Kubernetes clusters across multiple regions and cloud providers

Ensured high availability and low-latency performance of customer-facing services, supporting a platform that processes tens of trillions of events per day

Infrastructure as Code & Clean Automation: Developed and shipped well-documented automation code (Go, Python, and Bash) to streamline operations in complex production environments. Leveraged Infrastructure-as-Code tools like Terraform and Ansible to provision and configure systems, in line with Datadog’s tech stack (e.g. building systems in Go/Python on Kubernetes in multi-cloud environments.

These efforts improved consistency and reduced manual intervention across deployments.

Chaos Engineering & Best Practices: Brought structure to ambiguous challenges by introducing reliability best practices and tools. Integrated chaos engineering experiments into the development lifecycle to proactively identify weaknesses.

Technologies: Kubernetes k8s, Terraform, Ansible, Go, Python, Bash, Datadog Observability Stack, AWS/GCP/Azure (multi-cloud), CI/CD & GitOps, Distributed Systems Monitoring, Linux Systems Administration.