Sree Tummala

Senior Cloud Platform Engineer - Kroger Technology (May 2019– Present)

Engineered and operated a large-scale retail platform powering 100+ microservices and processing 4.3B+ monthly transactions across 40+ databases and 13TB+ of data, maintaining 99.99% availability across 2,200+ retail stores nationwide.

Delivered enterprise-scale migration of a legacy platform from on-prem Pivotal Cloud Foundry (PCF) to Microsoft Azure, implementing highly available and disaster-resilient cloud-native architecture and provisioning platform services including Azure Spring Apps, Azure Functions, Storage Accounts, Event Hubs, Logic Apps, Service Bus, and Key Vault.

Engineered and maintained centralized CI/CD pipelines (Azure DevOps, GitHub Actions) supporting 150+ repositories, automating IaC provisioning, QA validation, builds, and multi-environment deployments.

Developed reusable Terraform modules and infrastructure automation workflows to standardize provisioning of Azure networking, platform services, and application environments across multi- environment cloud deployments.

Led FinOps-driven cloud cost optimization initiatives, delivering $1.47M in annual savings through reserved instance strategies, rightsizing, autoscaling optimization, and off-hours workload automation.

Designed scalable Azure infrastructure supporting enterprise data platforms and emerging AI/ML workloads using services such as Azure Databricks, Data Factory, Synapse Analytics, Cosmos DB, Azure SQL, and Redis for large-scale data processing and analytics.

Enabled scalable cloud infrastructure supporting AI/ML pipelines for model training and deployment across enterprise data and analytics platforms.

Implemented Azure AI Foundry to support enterprise AI development initiatives, enabling model experimentation, prompt engineering workflows, and AI application deployment while integrating with core Azure platform services such as AKS, Azure Storage, and Key Vault, and leveraging Azure AD identity, role-based access control (RBAC), and governance policies to ensure secure and compliant AI workloads.

Leveraged AI-assisted development tools (GitHub Copilot) to accelerate infrastructure-as-code development and improve CI/CD pipeline automation.

Led a platform modernization POC evaluating migration of 100+ microservices from Azure Spring Apps to Kubernetes (AKS), provisioning production-ready AKS clusters to validate container deployment strategies, autoscaling behavior, and platform scalability.

Designed secure Azure networking architecture across the full cloud networking stack, implementing VNets, subnets, private endpoints, service endpoints, NSGs, route tables, Azure Firewall, and Private DNS to enable private, internet-isolated platform services.

Architected identity-first cloud security using Microsoft Entra ID, managed identities, and centralized secrets management (Key Vault, Akeyless) to enforce least-privilege access and secure service-to-service authentication across Azure workloads.

Designed and enforced cloud security governance using Azure Policy and network isolation controls to enforce security baselines, restrict non-compliant resource deployments, and secure enterprise cloud environments.

Configured and standardized Azure Monitor and Azure Dashboards to provide centralized infrastructure telemetry, log analytics, and platform health monitoring across multi-environment Azure deployments.

Implemented application performance monitoring (APM) using Dynatrace and evaluated observability patterns using Prometheus, Grafana, and Azure Monitor to enable distributed tracing, dependency mapping, and operational visibility across cloud services.

Led production incident management and response for critical cloud services using ServiceNow, coordinating cross-team triage, performing root cause analysis (RCA), and implementing remediation improvements that reduced Mean Time to Detect (MTTD) and Mean Time to Recovery (MTTR).