Platform, DevSecOps & AI Infrastructure Engineer

Architected development, staging, and production GKE environments across more than 10 Kubernetes clusters using Argo CD, Kyverno, Grafana, and protected Terraform delivery. Built confidential AI infrastructure on 300+ Intel TDX GPU nodes, including AI sandboxes, Rust LLM gateways serving more than 100 million monthly requests, usage metering, and remote attestation through GitOps.

Built an end-to-end DevSecOps pipeline with secrets, code, dependency, image, and IaC checks using TruffleHog, SonarQube, Snyk, Trivy, and Checkov. Implemented cosign image signing, Kyverno and OPA admission controls, and Falco runtime monitoring. Owned monthly cloud spend of $70K-$90K, cut infrastructure costs by 55%, increased release velocity by 70%, sustained 99.95% uptime across 200+ services, and reduced alert noise by 60%.

Led a team of more than 15 DevOps engineers across eight client accounts, improving delivery efficiency by 45%. Designed multi-region EKS and AKS Kubernetes clusters with Terraform and sustained 99.99% uptime for client platforms.

Drove vulnerability management through SAST, DAST, and SCA practices, integrated Istio and mutual TLS for multi-tenant systems handling over 50 million monthly requests, and engineered CI/CD with GitHub Actions and Jenkins. Unified OpenTelemetry and Elastic APM for more than 100 microservices, halved debugging time, reduced rollback incidents by 40%, and delivered $140K in annual cost savings.

Managed more than 100 microservices running on EKS and AKS, improving service availability to 99.9%. Enforced OPA Gatekeeper and Kyverno policies to block non-compliant workloads.

Implemented federated Prometheus and Grafana observability, reducing mean time to resolution by 35%. Accelerated data processing by 60% through Apache Flink and Airflow deployments.

Codified Azure infrastructure using Terraform, reducing environment setup time by 70%. Built CI/CD workflows with Jenkins and Octopus Deploy to enable 50% faster releases.

Centralized monitoring with Prometheus and Elasticsearch, lowering system downtime by 45%.

Hardened AWS environments for 15 enterprise clients and supported successful completion of three consecutive security audits. Administered more than 100 AWS resources using auto-scaling, reducing service interruptions by 40%.

Introduced self-service CI/CD workflows with Jenkins and Terraform, eliminating 80% of manual operational steps.