Ravirala Gowthami

Project 2 | Role: DevOps Engineer Client: Healthcare, London, UK | Dec 2020 – June 2022 • Designed and automated secure Multi-tier Virtual Networks (VNet) using Terraform, implementing strict segmentation for healthcare data. • Developed reusable Terraform templates and Ansible playbooks for consistent environment provisioning across Dev, QA, and Prod. • Administered centralized CI/CD pipelines, integrating Git, Maven, and Azure repo Artifactory for streamlined artifact management. • Optimized application delivery speed by 35% by implementing automated build-and-test workflows, significantly reducing the release cycle duration. • Containerized legacy healthcare applications using Docker and orchestrated deployments on Kubernetes (GKE/AKS). • Enhanced the security posture of the delivery lifecycle by integrating SonarQube and Trivy vulnerability scanning into pipelines. • Provisioned and managed Azure Load Balancers and Application Gateways to ensure efficient traffic distribution and high availability. • Programmed daily operational tasks and system health checks using Python and Shell scripts to reduce manual effort. • Configured Azure Monitor and Application Insights for continuous performance tracking and real-time alerting. • Governed Azure Container Registry (ACR) and implemented image lifecycle policies to optimize cloud storage usage. • Established RBAC policies and managed sensitive credentials using Kubernetes Secrets to maintain strict data privacy. • Supported incident response and documented comprehensive runbooks to streamline future troubleshooting and recovery. Project 1 | Role: Software Engineer (Cloud & Infrastructure) Client: UPMC Health Systems | Feb 2018 – Dec 2020 • Sustained and supported scalable container environments to ensure high availability and efficient resource utilization for application workloads. • Configured and maintained specialized workload components within production clusters to handle database storage and system-level monitoring agents. • Resolved day-to-day build and deployment issues across various environments to maintain consistent system uptime and delivery cycles. • Responsible for version control administration, including repository maintenance, branch management, and governing developer access permissions. • Assisted senior administrators with core L1 and L2 support tasks, handling server health monitoring, user account provisioning, and access management. • Performed deep-dive log analysis and infrastructure performance monitoring to identify and resolve system-level issues. • Authored and maintained comprehensive system runbooks and operational procedures to ensure standardised documentation and team guidance.

Engineered production-grade AKS clusters using modular Terraform configurations to ensure consistent and repeatable infrastructure deployments. • Orchestrated the provisioning of Node Pools, ACR integration, and VNet peering to support high-performance microservices architectures. • Architected end-to-end CI/CD pipelines in Azure DevOps and GitHub Actions, increasing deployment frequency by 35% with zero-downtime. • Deployed StatefulSets and Persistent Volumes (PVC) for database workloads in Kubernetes to ensure data durability and high availability. • Optimized cluster security by implementing RBAC and Azure Entra ID integration, reducing unauthorized access risks by 30%. • Integrated Azure Key Vault to centralize secrets management, ensuring compliance with security auditing standards. • Developed Helm charts to standardise application packaging and streamline complex deployments across multiple environments. • Enabled Horizontal Pod Autoscaling (HPA) and Cluster Autoscaler to handle traffic spikes and optimize cloud resource consumption. • Established comprehensive observability using Prometheus and Grafana, creating custom dashboards to monitor pod health. • Utilized Azure Monitor and Log Analytics to perform deep-dive troubleshooting and improve system reliability. • Delivered detailed Root Cause Analysis (RCA) for production incidents, implementing automated fixes to prevent recurrence.