Leading DevOps, SRE and cloud for an AI-agent cybersecurity company — owning the design, automation, reliability, security and day-to-day operations of the entire platform, from multi-cloud Kubernetes to customer on-prem and airgapped deployments.

• ▸Run 10 Kubernetes clusters and 100+ services across AWS, Azure and GCP at >99.5% uptime
• ▸Built 100% of the DevOps culture and the platform engineering foundation: CI/CD, deployment architecture and automated deployment/configuration workflows for every environment
• ▸Design for high availability and disaster recovery — autoscaling, monitoring, logging, database and analytics services; primary escalation point for all infrastructure issues
• ▸Own on-prem and airgapped delivery end to end — deployment, upgrades, troubleshooting and automation for global enterprise customers, whatever their environment
• ▸Primary infra/cloud SME across pods and beyond engineering, as the org grew to ~25 engineers around the same lean DevOps team
• ▸End-to-end observability: monitoring, telemetry, tracing and logging
• ▸Building the internal developer platform; leading DevOps/SRE/Cloud teams

• Kubernetes
• AWS
• Azure
• GCP
• Prometheus
• Grafana
• Terraform
• Helm

Ran multi-region, multi-cloud infrastructure for a time-series AI product — Kubernetes, serverless, IoT and a large open-source data stack.

• ▸Managed services across Kubernetes, VMs, Lambda, IoT, API Gateway and ECS
• ▸Infrastructure as code with Terraform, Ansible, Serverless, CloudFormation and ARM
• ▸Operated NGINX, ELK, Pulsar, HDFS, Kafka, MongoDB and Postgres in production
• ▸Contributed to SOC2 compliance and security automation

• AWS
• Azure
• Kubernetes
• Kafka
• Pulsar
• Terraform
• Ansible
• ELK