ed the design and implementation of scalable, secure, and highly available multi-cloud infrastructure across GCP, AWS, Azure, and Tencent Cloud using Terraform and Google Deployment Manager. Built and managed Kubernetes-based container platforms, implementing Docker containerization, HPA/Federated HPA autoscaling, global load balancers, and sidecar logging architecture to ensure high availability and performance.

Integrated GCP Pub/Sub pipelines for cross-datacenter message ingestion into Elasticsearch and implemented centralized logging solutions exporting logs to Stackdriver and BigQuery for analytics. Established proactive SRE monitoring practices using GCP Stackdriver, Dynatrace, Nagios, Grafana, and custom alerting mechanisms to detect and mitigate application latency and infrastructure failures.

Created Datadog dashboards for various applications and monitored real-time and historical metrics. O Created system alerts using various Datadog tools and alerted application teams based on the escalation matrix. Automate Datadog Integrations through Ansible Scripts for QA, Regression and Prod environments. O Integrated Cloud checker, Datadog, Splunk Dashboard with GCP accounts.

• Handled operations and maintenance support for AWS cloud resources which includes launching, maintaining and troubleshooting EC2, S3, VPC, Elastic Load Balancers (ELB) and RDS, ELK, LAMBDA.

• Worked with AWS services like EC2, S3, VPC, ELB, Autoscaling Groups, Route 53, IAM, CloudTrail, CloudWatch, CloudFormation, CloudFront, SNS, and RDS.

• Managed multiple AWS accounts with multiple VPC's for both production and non-prod where primary objectives included automation, build out, integration and cost control.

• Strong Experience in implementing Data warehouse solutions in AWS Redshift, worked on various projects to migrate data from on premise databases to AWS Redshift, RDS and S3.

• Using Chef deployed and configured Elastic search, Log stash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.

• Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform.

• Designed AWS cloud Formation templates to create custom sized VPC, to set up Impolicies for users, subnets, NAT to ensure successful deployment of Web applications, database templates and Security groups using Python (BOTO & AWS CLI) and JSON Templates.

• Involved in provisioning and Automation servers on Public Cloud like AWS, AWS and Kubernetes.

• Created AWS Multi-Factor Authentication (MFA) for instance RDP/SSH logon, worked with teams to lock down security groups.

• Used Terraform to transform the infrastructure from on - premise to cloud.

• Worked on creating the modules driven AWS Infrastructure with terraform. Created Infrastructure Git repositories for Terraform to launch the stacks.

• Work with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation.

• Used Kubernetes to deploy scale, load balance, scale and manage docker containers with multiple name spaced versions.

• Coordinate release activities with Project Management, QA, Release Management and Web Development teams to ensure a smooth and trouble-free roll out of releases.

• Working in setting up Virtual Private Cloud, Subnets, routing table, internet gateway Access control list and security groups.

• Working on end to end in setting up of environments like DEV, IT, QA, IQA UAT and PROD environments in AWS cloud.

• Experience building microservices and deploying them into Kubernetes cluster as well as Docker Swarm

• Installed Kubernetes clusters in VMS, started Kube Master and Kubelets and added Container Network Interface.

• Involved in data migration processes to migrate historical data from legacy system into AWS Redshift (to S3 as flat files and Redshift as tables) using Python.

• Role required Planning, deploying, monitoring, and maintaining Amazon AWS cloud infrastructure consisting of multiple EC2 nodes and Virtual Machine's as required in the environment.

• Strong hands-on on AWS cloud services like EC2, S3, RDS, ELB, and EBS for installing, configuring.

• Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS services in AWS cloud.

• Utilize Cloud Formation and Puppet by creating DevOps processes for consistent and reliable deployment methodology.

• Experience in implementing Data warehouse solutions in AWS Redshift worked on various projects to migrate data from on database to AWS Redshift, RDS and S3.

• Installed and configured Hudson/Jenkins for Automating Deployments and providing an automation solution.

• Hands on experience on Azure VPN-Point to Site, Virtual networks, Azure Custom security, end security and firewall. Used Azure Express Route to set up a private connection to Microsoft cloud services such as a Microsoft Azure, Office 365, and Dynamic 365.

• Building and Installing Servers through Azure Resource Manager Templates or Azure Portal.

• Install and configure RedHat Enterprise Linux Server, DHCP, web (Apache HTTP), mail (SMTP, POP3), and file servers in Linux environment.

• Experience with Linux container and container clustering technologies like Docker, Kubernetes and the Glister storage solution.

• Used SMTP mail class of .NET for the users to send mail with suggestions, receive any alerts, receive confirmation notifications etc.

• Installation of Oracle-8i Server, Oracle Client Software on the application server and configuring the connectivity using JDBC drivers for the DB

• Developed CI/CD system with Jenkins on Google's Kubernetes container environment, utilizing Kubernetes and Jenkins for the runtime environment for the CI/CD system to build and test and deploy.

• Created reusable and tested infrastructure with Terraform modules and Versioned modules for Staging, Testing and Production environments in Azure

• Worked on parsing and editing XML documents by validating it to the schema using class libraries provided by .NET.

• Developed a PowerShell script which collected configuration data from the VMware environment to ensure conformity and stability.

• Created RDD's Extracting the data from Azure Blob Storage (Blobs, Files, Tables and Queues) and making transformations & actions.

• Knowledge support in administration of MS Windows AD, MS Exchange and MS IIS servers.

• Troubleshooting the connectivity from the Application to DB, maintenance of the DB's in server.