Azure DevOps Engineer
Accenture
Built an AI DevOps chatbot using Python, Flask, and Azure OpenAI GPT-5.1 โ serving 200+ daily users with 1000+ commands/day and 95% accuracy. Modernized microservices and deployed GenAI-based applications to AKS across Dev, Stage, UAT, and Production environments. Planned and executed migration of on-premises banking applications to Azure cloud, ensuring HIPAA, SOX, and PCI DSS compliance at every stage. Built CI/CD pipelines from scratch using Azure DevOps YAML with Docker, Azure Key Vault, and Gated Builds for secure automated deployments. Integrated Twistlock, Synopsys, and SonarQube quality gates into CI pipelines to catch security issues before deployment. Set up Horizontal Pod Autoscaler (HPA), Cluster Autoscaler, and Blue-Green deployments for zero-downtime production releases. Containerized .NET, Python, Angular, and Java applications using Docker; published images to Azure Container Registry (ACR). Deployed applications on AKS, Azure Virtual Machines, and Azure App Service based on architecture requirements. Set up monitoring using Azure Monitor, Prometheus, and Grafana with custom dashboards, alert rules, and email notifications. Wrote Helm charts and Kubernetes manifests for multi-environment microservice deployments. Automated infrastructure provisioning using Terraform for VMs, App Services, VNets, Subnets, and network configurations through version-controlled IaC pipelines. Configured NGINX reverse proxy and Azure Application Gateway for load balancing and traffic routing. Deployed and managed Kubernetes CronJobs for scheduled task automation within the AKS cluster. Coordinated production go-live releases following Agile methodology, established Git workflows and branching strategies, and collaborated with cross-functional teams to deliver solutions on time.