Sayan Ray

Devops Engineer

Tata Consultancy Services

Aug 2022 - Present • 3 yrs 11 mos

• Built and maintained CI/CD pipelines using Azure pipeline to streamline deployment and reduce manual effort more than 70%. • Develop and maintain containerized applications using Docker, and Kubernetes for scalable, high-availability services. • Pioneered a custom Docker file strategy utilizing multi-stage builds, shrinking average image size by 40% and slashing CI/CD pipeline execution time by 25%. • Experience in securing the sensitive information on the Kubernetes Clusters by integrating the AKS Clusters with Azure Key Vault. • Designed and maintained infrastructure using Terraform and developed reusable modules for VMs, AKS, Storage to reduce automation time more than 80%. • Manage multi-environment infrastructure deployments using Terraform Workspaces. • Proficiency in version control systems (Git/GitHub) and branching strategies. • Manage terraform state securely using remote backend and state locking. • Experience with observability tools & Implemented monitoring and alerting using Prometheus and Grafana, reducing system downtime by 15%. • Create Kubernetes manifests such as Deployment, Service, Secrets & Handle auto scaling and pod troubleshooting. • Worked on Azure Landing Zone architecture using RBAC, Hub-Spoke networking, Azure Firewall, Azure Application Gateway. • Implement and administer IAM policies, RBAC and service principal. • Reduce Azure networking costs by 40% by consolidating multiple Load Balancer services using an AKS ingress controller. • Implement GitOps based continuous delivery using Helm charts integrated with Argo CD to automate Kubernetes application deployments with version-controlled rollbacks and environment consistency which improved deployment success rate by 30%. • Leverage AI-assisted log analysis and monitoring techniques to reduce incident investigation time by 70%. • Applied prompt engineering techniques to generate IaC templates, Kubernetes manifests and pipeline configuration.