Success
Copied to clipboard!
DevSecOps Engineer & Site Reliability Engineer (SRE) with 4.2 years of experience automating enterprise cloud infrastructure across AWS, Azure, and GCP. Specialist in multi-cluster Kubernetes, GitOps releases, automated security compliance, and zero-downtime platform reliability.
4.2+
Years Experience
AWS / Azure
Multi-Cloud Certified
K8s & GitOps
EKS / AKS / GKE
99.99%
Target SLA / SLO
IaC Provisioning
Terraform • AWS / Azure / GCP
DevSecOps Security Gate
SonarQube • Trivy • Checkov
GitOps & K8s Sync
Argo CD • Helm • EKS / AKS / GKE
Observability & SRE
Prometheus • Grafana • Dynatrace
Filter tools and platforms by operational domain.
4.2+ years of production engineering and cloud reliability.
Project: Moody's Enterprise Cloud Operations
Multi-Cloud Infrastructure Automation: Provisioned secure and highly available AWS, Azure, and GCP environments using reusable Terraform modules and Ansible, eliminating manual setup and standardizing dev/test/prod environments.
Kubernetes Platform Management: Administered multi-region EKS, AKS, and GKE clusters. Configured HPA, Ingress controllers, StatefulSets, RBAC, and secrets management for mission-critical services.
DevSecOps & Automated Security Gates: Integrated SonarQube, Trivy container scanning, Checkov IaC scanning, and HashiCorp Vault into Jenkins and GitHub Actions pipelines to enforce vulnerability checks prior to production release.
GitOps & Progressive Delivery: Implemented Argo CD and Helm to enable declarative Kubernetes deployments with automated rollback, supporting Blue-Green, Canary, and Rolling updates.
Full-Stack Observability & Incident Response: Built real-time Prometheus & Grafana dashboards, Splunk centralized log analysis, and Dynatrace/New Relic APM tracing to monitor SLIs/SLOs, reducing Mean Time to Resolution (MTTR).
Platform Engineering & Scripting: Created developer self-service templates and automation scripts in Python and Bash for health verification, routine operational tasks, and cloud cost optimization.
99.992%
Meeting SLA targets
38 ms
Target < 50ms across regions
142 / 142
EKS • AKS • GKE healthy
< 12 min
Automated alert & RCA flow
Type help to list available commands.
Code: SAA-C03 • Amazon Web Services
Code: AZ-104 • Microsoft Azure
Bharath University, Chennai