Hi, I'm Prince Bansal.

Operate production Kubernetes infrastructure across 9 global regions on multi-cloud AWS, GCP, Azure and OCI, covering cluster upgrades, DR drills and service migrations, with Terraform, Ansible and Python automation.

Stood up 2 new production regions on OCI, including databases, Vault, monitoring and tracing — extending production onto a new cloud provider.

Built and own the Synthetics test platform (thousands of backend API and UI tests daily). Fixed multi-region failures and rebuilt alert trust by removing false pages and restoring OpsGenie/Slack and Grafana alerting.

Drove continuous cloud cost optimization initiatives, achieving $10K–$12K monthly savings through VM right-sizing, Kubernetes node optimization using Karpenter, and disk/storage tuning across production environments. Led AMD → ARM (Graviton) migrations for Kubernetes workloads and VM fleets using hardened OS images, improving price-performance efficiency and reducing infrastructure costs.

Actively participated in SOC 2 and PCI compliance audits, conducting access reviews, DR drills, and backup validation across production environments. Automated SOC 2 evidence collection, saving hours of manual effort each month and improving audit readiness. Strengthened platform security through least-privilege IAM practices and Kubernetes access controls.

Maintain Prometheus/Grafana observability, OpsGenie on-call and automated TLS-expiry alerting across all regions. Built a NodeNotReady auto-remediation workflow that self-heals unhealthy nodes without paging on-call, alongside Ansible automation for security group updates and disk alert remediation, and root-caused critical production incidents.

Led AWS-to-GCP migration of 15 microservices, achieving 90% cost reduction. Built modular Terraform scripts, optimized Cloud Build / Deploy pipelines for 40% CI/CD efficiency gain, and improved scalability via Apigee Gateway and Cloud Run integration.

Managed 300+ deployments across multi-environment pipelines (Concourse, GitHub Actions), improving code stability by 20%, reducing rollbacks by 15%, and cutting manual promotion effort by 70% - accelerating releases by 60%. Enhanced CI/CD pipelines with automated validations, infrastructure-aware deployments, and rollback-safe release mechanisms.

Automated provisioning and configuration of critical GCP services (Pub/Sub, Cloud Scheduler, Logging, Monitoring) with Terraform, increasing reliability by 40% and reducing manual errors by 50%.