Senior DevOps & Platform Engineer — GCP · Kubernetes · Terraform · CI/CD · DevSecOps — with hands-on MLOps / AI infrastructure experience on top of that foundation.
- 🔧 Core stack: Google Cloud Platform, Terraform, Kubernetes, Docker, Helm, Jenkins, GitHub Actions, GitOps, Ansible
- 🔐 Also: cloud security & governance (IAM, Cloud Armor, DevSecOps), observability (Prometheus, Grafana, ELK, OpenTelemetry)
- 🌱 Extending into MLOps / AI infrastructure — model serving, MLflow, Kubernetes-native ML platforms
- 📄 Resume: iarsingh.github.io/profile
- 💼 Open to Senior DevOps / Platform Engineer roles
| Repo | What it shows |
|---|---|
| terraform-gcp-platform | Reusable Terraform + Kubernetes patterns for GCP/GKE provisioning — namespaces, service accounts, guardrails, autoscaling |
| gitops-kubernetes-deployment | GitOps-driven Kubernetes deployment workflows |
| github-actions-devops-templates | Reusable GitHub Actions CI/CD pipeline templates for DevOps workflows |
| kubernetes-mlops-platform | Kubernetes-native MLOps platform patterns — model serving, artifact storage, inference autoscaling |
| mlops-zoomcamp | MLOps coursework and hands-on labs |
| ai-mock-interviewer | Voice-led AI mock interview practice for DevOps, SRE, Cloud, Platform, and MLOps roles |