| Harsha - AWS Cloud/DevOps Engineer/Azure |
| [email protected] |
| Location: Allen, Kansas, USA |
| Relocation: YES |
| Visa: GC |
|
Over 10+ years of professional experience in AWS & Linux, strong knowledge on Amazon Web Services (AWS) Cloud services like EC2, S3, EBS, RDS, VPC, and IAM, Virtualization, Cloud Computing and AWS services.
Deployment support and configuration of cloud services including AWS. Creating amazon EC2 instances and maintaining with security groups. Architecting of Elastic Load Balancers with EC2 Auto Scaling groups. Maintaining volumes and mapping with multi-AZ VPC instances. Backup Setup Like Snapshots and Amazon machine images (AMIs) of the instances. Expert in Installation, Configuration and Administration of Windows, Ubuntu Linux, Cent OS, and RedHat Environments. Mid level of understanding and using various Puppet features including Resource management (Package, Service, File), User Management, Modules, Class, Definition, Templates, Factor, and external commands. Experience in customization of modules from puppet forge for environment needs. Designed end to end automation of infrastructure and continuous delivery of the applications by integrating cloud formation scripts, Jenkins, AWS & CHEF cookbooks and recipes. Monitored system performance statistics like storage, CPU utilization and network bandwidth utilization. Experienced in all phases of the software development life - cycle (SDLC) with specific focus on the build and release of quality software. Defined AWS security groups which acted as virtual firewalls to control the incoming traffic onto AWS EC2 instances. Experience in real-time monitoring and alerting of applications deployed in AWS using Cloud Watch, Cloud Trail, and Simple Notification Service. Experience in deploying and monitoring applications on various platforms using Elastic Bean Stalk. Monitoring from the accelerated development cycles enabled by consistent, structured builds to the operational excellence unlocked through integrated logging, metrics and health monitoring and management (PCF Dev). Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS services, EBS volumes, to set alarms for notification or automated actions and to monitor logs for a better understanding and operation of the system. Keywords: sthree Arizona |
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