Responsible as AWS and Devops engineer in Automating, Configuring and deploying instances on AWS Cloud environments.IAM, 2-factor authentication-Amazon IAM service enabled to grant permissions and resources to users.Managed roles and permissions of users with the help of AWS IAM.Created policies () for roles, IAM Policies are attached to IAM identities like Users, Groups, and Roles.Each IAM policy has a unique name.Design AWS Cloud Formation templates to create custom sized VPC, Subnet, NAT to ensure successful deployment of Web applications and database templateSet up & built AWS infrastructure with various services available using CFT (YAML)Used AWS Inspector for scanning all the Instances automatically and we configured Cloud Watch for monitoring our instances utilizationCreating Route53 hosted Zones to map with public or private domain. And we create records to map with Ec2 instances/ELB and mapping domain from registries (like go daddy) to route53Good Experience in architecting and configuring secure cloud VPC using private & public networks through subnets in AWSGit Branching & merging

Sourcing

End-to-End Recruiter

Responsible as AWS engineer in Automating, Configuring and deploying instances on AWS Cloud environments.Worked on AWS Terraform templates to create custom sized VPC, subnets, EC2 instances, ELB, security groups.Worked on Aws Terraform to create and tagging standard for proper identification and ownership of EC2 instances and other AWS Services like Cloud Front, Cloud Watch, RDS, ELB, EBS, S3, and glacier, Route53, SNS, KMS, Cloud Trail and IAM.Setup and build AWS infrastructure various resources, VPC, EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Terraform templates. Implemented local user provisioning instances created in AWS cloud.Experience to create an IAM role for Amazon Redshift using an AWS Glue Data Catalog enabled for AWS Lake Formation.Improving Amazon Redshift Spectrum query performance.Creating data files for queries in Amazon Redshift Spectrum.Involved in AWS EC2/VPC/S3/SQS/SNS based automation through Terraform, adopted new features as they were released by Amazon, including ELB & EBS.Deployed AWS IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VPCs and subnets.Expertise in configuring the monitoring and alerting tools according to the requirement like AWS Cloud Watch, AWS Cloud Trail, Nagios, Enterprise, SNMP monitoring for the VPN connections.Experience in configuring the monitoring and automating tools for Enabling schedule like stop and start instances between working days using AWS Cloud Watch, IAM and Shell scripting.Integration with Cloud Watch for API traffic monitoring and health checks.Creating RDS instances as per database team requirement and also Enabling Multi-Az read replicas as per customer demand.Used Aws Inspector resources for scanning all the Instances automatically, and also we configured Cloud Watch for monitoring our instances utilization.Creating Route53 hosted Zones to map with public or private domain. And also we create records to map with Ec2 instances/ELB and mapping domain from registries (like go daddy) to route53.Automated the cloud deployment using, Shell scripting and AWS Terraform Templates. Used for unattended bootstrapping in AWS.Experience in to write Docker file for installing Tomcat and Build and run an image from Docker Hub and attach volume to that image. And create one more container and share data between containers.Configuring, automation and maintaining build and deployment CI/CD tools Git, Jenkins, Maven, Docker- registry and JIRA for Multi-Environment (Local/POC/NON-PROD/PROD) with high degrees of standardization for both infrastructure and application stack automation in AWS cloud platform.Experienced in Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like GIT on Linux platforms.