Varsha Bisa

Designed and automated Azure infrastructure using Terraform and Azure Bicep, supporting development/QA/production environments. Built and maintained AKS-based Kubernetes platforms for container deployments with Docker, Helm, and Azure Container Registry (ACR), including automated scaling and self-healing. Developed and optimized CI/CD pipelines with Azure DevOps Pipelines and GitHub Actions, reducing deployment time by 40% and improving release reliability. Implemented AI-assisted DevOps automation using GitHub Copilot and Azure OpenAI/Azure AI services to accelerate scripting, troubleshooting, documentation, and operational efficiency. Integrated AI-driven monitoring with Azure Monitor, Application Insights, and Log Analytics to detect anomalies and support proactive incident management. Applied DevSecOps by embedding security scans (SonarQube, Snyk, Trivy, Checkmarx) into workflows and automated operational tasks using Python, PowerShell, and Bash.

Designed and automated Azure cloud infrastructure using Terraform, Azure Bicep, and Azure DevOps, supporting development, QA, and production environments. Built and maintained AKS-based Kubernetes platforms using Docker, Helm, and Azure Container Registry (ACR), including automated scaling and self-healing. Developed and optimized CI/CD pipelines with Azure DevOps Pipelines and GitHub Actions, reducing deployment time by 40% and improving release reliability. Integrated AI-assisted DevOps automation using GitHub Copilot and Azure AI services to accelerate scripting, troubleshooting, and deployment documentation. Implemented AIOps-style monitoring improvements using Azure Monitor/Application Insights and Log Analytics to reduce MTTR by 30%. Applied DevSecOps by embedding security scanning (SonarQube, Snyk, Trivy, Checkmarx) into deployment workflows and automated operational tasks using Python, PowerShell, and Bash. Managed Azure services including AKS, Functions, Key Vault, Storage, Ne

Designed and managed AWS infrastructure with Terraform and CloudFormation for scalable, highly available applications. Built and supported AWS EKS clusters using Docker, Helm, and Amazon ECR. Created CI/CD pipelines using Jenkins, GitHub Actions, AWS CodePipeline, and CodeBuild, improving deployment efficiency by 45%. Implemented infrastructure automation and configuration management with Terraform and Ansible, reducing provisioning time by 60%. Managed AWS services including EC2, VPC, IAM, S3, RDS, Lambda, CloudWatch, and Route 53. Enhanced monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana, and ELK, and strengthened security by integrating SonarQube, Snyk, and Trivy into pipelines.