• Involved in managing multiple projects within AWS Cloud – New & Migration.• Automated the process of creating Infrastructure using AWS CloudFormation.• Worked on spinning different (EC2 instances) VMs needed for running java services, UI and web methods components for Dev. and SIT and production environments within the Auto-scaling group.• Maintaining & monitoring the complete infrastructure needed for the above projects.• Written some of the corn jobs to notify the administrator when SQS Queue size reaches certain limit.• .• Configured Elastic Load Balancers with EC2 Auto scaling groups.• Created scripts in Python which integrated with Amazon API to control instance operations.• Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, and Auto scaling groups, Optimized volumes and EC2 instances.• Managed Amazon Web Services like EC2, bit bucket, RDS, EBS, ELB, Auto-Scaling, AMI, IAM through AWS Console and API Integration with Puppet Code.• Developed python modules to automate processes in AWS (AWS cloud formations/ Ec2, both API)• Virtualized the servers using the Docker for the test environments and dev-environments needs. And configuration automation using Docker containers.• Scripting in multiple languages on UNIX, LINUX, and Windows – Batch, Shell script etc.• Created monitors, alarms, and notifications for EC2 hosts using Cloud Watch. Environment: AWS, EC2, Puppet, Lambda, Nagios, Shell Scripting, Red Hat, Windows 2012 Server, SQL.

• Involved in managing multiple projects within AWS Cloud – New & Migration• Automated the process of creating Infrastructure using AWS CloudFormation• Written some of the corn jobs to notify the administrator when SQS Queue size reaches certain limit• Experience in LDAP and Jenkins Integration Designed and developed integrated solutions through these DevOps tools, processes, and procedures to facilitate the cost-effective delivery of services or fielding of products • Configured auto-scaling using SQS Queue metrics using AWS CloudWatch• Installing, configure ring including installing patches for different VMs running on J2EE and Software web methods on the cloud• Automated the Media-Encoding process using AWS Lambda, AWS Elastic Transcoder, S3 and Glacier• Worked on writing different automation scrips to help developers to interact with SQS and SNS• worked on python scripts for automating the process of performing the backups and, monitoring the VM’s and sending the notifications to SNS• Responsible for continuous integration, build automation and deployments Used GitHub, Jenkins, and Maven • Responsible for automating and improving infrastructure using chef for configuration management• Configured Internal and external Domain Names using Route 53 by using Simple, Weighted and Fail-over Routing policies Environment: AWS, Aws lambda, EC2, Puppet, Nagios, Shell Scripting, Red Hat, Windows 2012 Server, SQL, Terraform

• Involved in managing multiple projects within AWS Cloud – New & Migration• Automated the process of creating Infrastructure using AWS CloudFormation• Written some of the corn jobs to notify the administrator when SQS Queue size reaches certain limit• Experience in LDAP and Jenkins Integration Designed and developed integrated solutions through these DevOps tools, processes, and procedures to facilitate the cost-effective delivery of services or fielding of products • Configured auto-scaling using SQS Queue metrics using AWS CloudWatch• Installing, configure ring including installing patches for different VMs running on J2EE and Software web methods on the cloud• Automated the Media-Encoding process using AWS Lambda, AWS Elastic Transcoder, S3 and Glacier• Worked on writing different automation scrips to help developers to interact with SQS and SNS• worked on python scripts for automating the process of performing the backups and, monitoring the VM’s and sending the notifications to SNS• Responsible for continuous integration, build automation and deployments Used GitHub, Jenkins, and Maven • Responsible for automating and improving infrastructure using chef for configuration management• Configured Internal and external Domain Names using Route 53 by using Simple, Weighted and Fail-over Routing policies Environment: AWS, Aws lambda, EC2, Puppet, Nagios, Shell Scripting, Red Hat, Windows 2012 Server, SQL, Terraform

• Deployment and management through AWS cloud formation on EC2 (Elastic compute cloud) instances and maintaining amazon S3 storage. • Optimized volumes and EC2 instances& Created multi AZVPC instances& Used IAM to create new accounts, roles, and groups. • Experience in deploying custom chef cookbooks and puppet modules, to configure the machines indifferent environments with appropriate package/services and versions. • Configured S3 to host static web content, versioning, and lifecycle policies to and backup files and archive files in Glacier. • Proficient in using file extensions such as. DFXP &. VTT for open and play video in Timed text format and media players such as JW player and Bitmovin. • Configured chef to manage AWS environments and automate the build process for core AMIs used by all application deployments including Autoscaling and incorporating chef on the JSON CloudFormation scripts for the configuration deployment onto the nodes. • Wrote and maintained extensive documentation & created cookbooks using Ruby framework for configuring the infrastructure and application servers. • Monitoring of network services (SMTP, POP3, HTTP, NNTP, ICMP, SNMP, FTP, SSH) using Nagios. • Installed and configured Nexus to manage the artifacts in different Repositories and handling dependency management using nexus private repository. • Configured CI, CD (Continuous integration/Deployment) pipeline for the automatic deployment of artifacts/application to the required servers or environments in Jenkins CI, and Clean for the new build process whenever code commits are done to SCM tool Git. • Centrally managed an automated research-oriented Linux environment through automation/configuration tools like Chef / Puppet • Utilized CloudWatch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, DynamoDB tables, EBS volumes; to set alarms for notification or automated actions; and to monitor logs for a better understanding and operation of the syst

• Involved in designing and deploying multitude of applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS Cloud Formation • Migrated the current Linux environment to AWS/RHEL Linux environment using AWS Server Migration Service (SMS) and involved in remediation and patching of Unix/Linux Servers • Migrated applications to the AWS cloud • Write terraform scripts for Cloud Watch Alerts.• Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Nodejs, Python, Ruby, and Docker on familiar servers such as Apache, and IIS • Leveraged AWS cloud services such as EC2, auto-scaling and ELBs to build secure, highly scalable, and flexible systems that handled expected and unexpected load bursts • Managed AWS EC2 instances utilizing auto-scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for Git and Chef • Created public and private Subnets in VPC with custom route tables • Configured AWS IAM, security groups, and NACLs • Created AWS Route53 to route traffic between different regions • Provided exceptionally durable and available data by using S3 data store, versioning, and lifecycle policies • Used Terraform and Jenkins to implement push-button creation of infrastructure as needed• Developed API for using AWS Lambda to manage the servers and run the code in AWS. • Automate AWS services with the stack through Terraform Scripts.• Created monitors, alarms, and notifications for EC2 hosts using CloudWatch • Used MySQL, DynamoDB and Elastic ache to perform basic database administration • Managed Amazon Redshift clusters such as launching the cluster and specifying the node type • Used GZIP with AWS CloudFront to forward compressed files to destination node/instances • Implemented server automation with Continuous Integration and Contin