Experienced Cloud DevOps Engineer with a comprehensive skill set in AWS and Azure cloud solutions. Adept at creating AWS Cloud Formation templates to build custom-sized VPCs, subnets, ELBs, and Auto Scaling Groups. Proficient in implementing serverless architectures using API Gateway, Lambda, and DynamoDB, deploying Lambda functions for event-driven and scheduled tasks. Skilled in IAM policy management and access control, ensuring secure AWS resources utilization.Extensive expertise in Terraform and HashiCorp stack, using Terraform scripts to construct staging and production environments, and creating AMIs with Packer for continuous delivery pipelines. Proficient in CI/CD tools like Azure DevOps, GitHub Actions, and Jenkins for automated deployment.Strong scripting abilities in Groovy, Python, Perl, and shell/bash, with experience in automating build and release processes, Git repository configuration, and application monitoring. Adept at containerization with Docker and Kubernetes, including the setup of Docker Compose and Helm charts for Kubernetes deployments.Hands-on experience in Kubernetes management, working with YAML, and deploying Kubernetes clusters using KOPS. Skilled in container management with Docker files and Docker Hub, along with scripting for Nagios service checks and monitoring with Splunk, CloudWatch, AppDynamics, and Nagios.Proficient in orchestrating Jenkins pipelines for secure vault credential delivery, customer issue resolution, and implementing automation for build tools like Maven. Strong knowledge of NoSQL databases, especially MongoDB, including replica setup and sharding. A dedicated professional with a proven track record in ensuring the reliability and security of cloud-based infrastructure.Looking for new challenges in the field of Cloud DevOps to apply and further enhance my expertise.

Azure:Network Security Expertise: Proficient in deploying Azure Cloud services into secure VNets and subnets, designing Network Security Groups (NSGs) for Inbound and outbound access control, ensuring the security of NICs, VMs, and subnets.Hybrid Connectivity: Experienced in setting up private connections to Microsoft cloud services with Azure Express Route, establishing reliable links between on-premises infrastructure and the cloud.Google Cloud Platform (GCP):Compute and Network Mastery: Skilled in provisioning and managing virtual machine instances using Google Compute Engine, including effective network configuration and utilizing Google Cloud Load Balancing.Database Management: Competent in managing cloud SQL databases and data storage in GCP, with proficiency in Stackdriver Monitoring for real-time application performance insights.Kubernetes and DevOps:Azure Kubernetes Service (AKS) Mastery: Expert in deploying managed Kubernetes clusters in Azure, including efficient cluster creation and troubleshooting.Containerization Proficiency: Proficient in Docker image management, Docker Swarm orchestration, and designing Docker-compose.yaml templates for streamlined image deployment.Monitoring and Management:Monitoring with Datadog: Utilized Datadog for metric collection and insights in cloud-based environments, ensuring optimal application operation.Server Uptime Maintenance: Proficient in using Datadog and Nagios to maintain server uptime, monitor API health, and automate maintenance tasks for reliable system operation.UNIX/Linux Server Administration:Administration of UNIX/Linux Servers: Installed, configured, and administrated UNIX/Linux servers on Azure, ensuring smooth operation and selecting relevant hardware for installations and upgrades of Ubuntu and CentOS.

Elasticsearch, Logstash, and Kibana (ELK):Log Analytics and Monitoring: Deployed and configured ELK stack for log analytics and application monitoring, integrating AWS Lambda and CloudWatch for comprehensive log and metric collection, with storage in an S3 bucket using Lambda functions.Continuous Integration/Continuous Deployment (CI/CD):Docker, Jenkins, and GitHub Integration: Established a CI/CD pipeline utilizing Docker, Jenkins, and GitHub, facilitating automatic container builds upon GitHub repository changes.Jenkins CI/CD Pipelines: Created Jenkins CI/CD pipelines for continuous building and deployment, incorporating Junit and SonarQube plugins for automated testing and code quality assessments.Kubernetes and Helm:Replication Controllers and Kubernetes Manifests: Configured Kubernetes Replication controllers for managing multiple pods, including Jenkins master servers in multiple minions, and managed Kubernetes charts using Helm for reproducible application builds.Rancher Orchestration: Utilized Rancher for orchestrating Kubernetes .Site Reliability Engineering (SRE):New Relic Monitoring: Implemented New Relic Monitoring on various application servers and databases, both on Kubernetes and on-premises servers, ensuring comprehensive infrastructure and application performance monitoring.Application Monitoring and CI/CD Automation:Installed agents to monitor systems and applications, crafted custom dashboards for tracking data, and employed NRQL language.CI/CD Automation: Automated software building and delivery with Jenkins and GitLab, managed Docker images in Jfrog Artifactory, and enabled continuous delivery with rolling updates and blue-green deployments on EKS clusters.Log Monitoring and Analysis:Datadog and Splunk Expertise: Proficient in using Datadog and Splunk for monitoring and analyzing log information, experienced in troubleshooting, Splunk search, and scripting for monitoring tasks and data analysis.

• Used IAM to create new accounts, roles and groups and polices and developed critical modules like generating amazon resource numbers and integration points with S3, Dynamo DB, RDS, Lambda and SQS Queue.• Used Python libraries such as Paramiko, Pycrypto, XML parser and logging libraries to develop automatic storage, networking deployment tool on scale-out environment with Linux and Troposphere libraries to create AWS Cloud Formation descriptions• Wrote Chef Cookbooks for various DB configurations to modularize and optimize product configuration, converting production support scripts to Chef Recipes and AWS server provisioning using Chef Recipes.• Used Configuration management tool Puppet to automate the management of servers in test and Upgraded Puppet Masters, Agents, and Databases.