Sainithin Damaragidda

Architected mission-critical multi-region AWS infrastructure using EC2 Auto Scaling Groups, Elastic Load Balancers, Route53, S3, RDS Multi-AZ, and EBS, supporting a $50B+ e-commerce platform by reducing global latency by 45% across 15 regions and achieving 99.99% uptime during Black Friday traffic spikes.

Drove infrastructure automation across 500+ AWS resources using reusable Terraform modules, AWS CDK constructs, and CloudFormation templates, eliminating 70% of manual tasks, reducing provisioning time from 8 hours to 25 minutes, and preventing 15+ drift-related production incidents annually.

Led enterprise Kubernetes transformation, migrating 150+ applications to EKS and OpenShift with ArgoCD GitOps workflows, Helm charts, and eksctl automation, achieving 60% faster release cycles and zero-downtime deployments for 95% of services.

Established an enterprise observability platform integrating Nagios, AppDynamics, New Relic, CloudWatch, Datadog, and Syslog across 300+ servers, achieving 99.9% monitoring coverage, reducing alert noise by 65%, and preventing 40+ customer-impacting incidents annually.

Designed and implemented a comprehensive CI/CD ecosystem integrating Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline, Tekton, Harness, and Octopus Deploy across 120+ microservices, automating 95% of workflows and achieving a 99.5% deployment success rate.

Built a comprehensive automation framework using Python, Bash, PowerShell, and Golang with 200+ reusable scripts, reducing manual workload by 40%, improving microservice resilience by 30%, and saving 1,200+ engineering hours annually.

Drove cloud cost optimization through EC2 rightsizing, S3 lifecycle policies, Spot Instances migration, and RDS reserved capacity optimization, reducing AWS infrastructure spend by $2.4M annually (32% reduction) while maintaining SLAs.

Led end-to-end incident management program integrating PagerDuty and ServiceNow, reducing Mean Time to Resolve (MTTR) by 85% (from 4.5 hours to 45 minutes) and Mean Time to Detect (MTTD) by 83% (from 18 minutes to 3 minutes).

Built an enterprise-grade Infrastructure as Code (IaC) framework using Terraform and Azure Resource Manager (ARM) templates, automating 500+ resource deployments across development, UAT, and production landscapes while ensuring regulatory consistency with PCI-DSS, SOX, and Fed compliance.

Designed resilient, fault-tolerant banking applications using Azure Traffic Manager, Azure Load Balancer, and Azure App Service, guaranteeing 99.99% availability during peak financial events and processing 5,000+ transactions/second.

Deployed scalable microservices on Google Kubernetes Engine (GKE) using Helm charts and Terraform, enabling high availability, rolling upgrades, and horizontal pod autoscaling for customer-facing banking APIs serving 2M+ daily active users with <100ms response times.

Pioneered a DevSecOps deployment strategy leveraging Harness and Spinnaker for critical banking APIs, enabling automated progressive (Canary/Blue-Green) rollouts and reducing deployment risk and potential customer impact by 90%.

Strengthened observability for financial applications using Prometheus, Grafana, Datadog, and Azure Monitor, reducing Mean Time to Detect (MTTD) for transaction failures from 12 minutes to 90 seconds across ATM networks and payment systems.

Developed Python and Bash scripts to automate operational banking tasks, including encryption key rotation, log archival, and compliance evidence collection, saving 40+ hours monthly.

Integrated Grail compliance monitoring platform analyzing CloudTrail and Azure Activity Logs for unauthorized access attempts, generating real-time security alerts and reducing compliance audit preparation time by 60%.

Architected and managed robust Azure cloud environments, provisioning core services (VMs, AKS, Azure Functions) for healthcare data systems, leveraging Azure DevOps, ARM templates, and Terraform for efficient, error-free deployments.

Developed Ansible playbooks for Azure configuration management and automated security, implementing RBAC and NSGs to enhance security posture and ensure HIPAA compliance.

Built CI/CD pipelines in Azure DevOps integrated with Git/Bitbucket to automate build, test, and deployments, cutting release time by 60%, and containerized applications with Docker on Kubernetes for healthcare microservices.

Developed Harness deployment workflows for AKS-based healthcare microservices, implementing traffic splitting, health checks, and rolling updates with minimal patient-impact risk.

Designed Kafka architectures for real-time healthcare data streaming, building pipelines with Kafka Streams API and partnering with data engineering teams for Kafka-to-Hadoop/Spark integration.

Deployed comprehensive monitoring and logging solutions using Splunk, Grafana, and Azure Monitor with Log Analytics, providing real-time visibility into healthcare systems and reducing downtime.

Troubleshot and resolved critical production issues related to infrastructure and data clusters, reducing incident response time by 50% through administration of servers, routers, and networks using Telnet and SSH.

Collaborated with AT&T's core network team to architect and deploy highly available AWS infrastructure (EC2, VPC, RDS, Route 53) for telco applications, managing and optimizing AWS services (S3, EBS, ELB, Auto Scaling) to support network management and monitoring platforms.

Implemented Chef, Python, and CloudFormation Templates for cloud automation and deployments of telco-specific applications, ensuring streamlined delivery.

Automated provisioning of telco-grade AWS environments using Terraform, creating reusable modules for network components, EKS clusters, and IAM policies to support high-availability telecom workloads.

Implemented proactive incident management and reliability for AT&T's services by deploying and configuring Prometheus and Alertmanager on EC2, Kubernetes, and AWS.

Configured and managed Elastic Load Balancing (ELB) to prevent single points of failure in AT&T's service delivery architecture and ensure high availability, automating Jenkins master-slave configuration for scalable builds.

Administered GitHub repositories for source code management, ensuring version control and collaboration across development teams, and configured Lambda functions and SQS/SNS for serverless computing on AWS.

Implemented and managed AWS API Gateway and utilized Network Load Balancers (NLB) for low-latency, high-volume traffic routing to Apache Tomcat and microservices clusters, ensuring resilient service delivery.

Engineered end-to-end CI/CD pipelines using AWS CodePipeline and Jenkins, automating build, test, and deployment stages for consistent multi-environment releases.

Managed code integration via Git and Bitbucket, configuring GitHub webhooks to trigger automated builds, eliminating manual errors and accelerating delivery.

Developed Maven and Gradle build scripts for Java-based microservices, optimizing performance and minimizing build failures.

Automated configuration management with Ansible Playbooks and Roles, ensuring consistent environment provisioning and streamlining IaC deployments on AWS.

Containerized applications using Docker, enabling reliable and portable environments across development, test, and production, and implemented monitoring and reporting for build and deployment metrics.