Sivakalyan R.

Devops/AWS Engineer

Hyderabad , India

Experience: 5 Years

Sivakalyan

Hyderabad , India

Devops/AWS Engineer

28025.8 USD / Year

Start Date / Notice Period end date: 2022-07-20

5 Years

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About Me

5 years of IT experience with expertise in AWS cloud services, DevOps, and Linux server support. Skilled in building highly resilient and scalable cloud infrastructures, automating processes, and implementing new technologies....

Skills

Positions

ML/AI Engineers

DevOps Engineers

Principal Engineer

Software Engineer

Data Engineer

Portfolio Projects

Description

Worked on AWS Cloud Formation templates to create custom-sized VPC, subnets, EC2 instances,ELB, security groups. Worked on tagging standard for proper identification and ownership of EC2 instances and other AWS Services like CloudWatch, RDS, ELB, EBS, S3, Route53, SNS, IAM.
Setup and build AWS infrastructure various resources, VPC,EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates. Implemented local user provisioning instances created in AWS cloud.
Migrated VMWARE VMs to AWS and Managed Services like EC2, S3 Bucket, Route53, ELB, EBS, etc.,
Experience in setting up CI/CD pipeline integrating various tools with Jenkins to build and run Terraform jobs to create infrastructure in AWS.
Managed configurations of multiple servers using Ansible.
Automated various infrastructure activities like Continuous Deployment, application server setup using Ansible playbooks.
Responsible for maintaining GIT Repositories, and access control strategies.
Co-ordinated and assisted developers with establishing and applying appropriate branching, labeling/naming conventions using Git source control.
Built scripts using Maven build tools in Jenkins to move from one environment to other environments.
Maintained build related scripts developed in shell for Maven builds. Created and modified build configuration files including POM.xml.
Built Continuous Integration environment Jenkins and Continuous delivery environment. Implementing and managing Jenkins job to automate the new job creation.
Automation of new job creation by implementing and managing Jenkins. Setup Jenkins master slave architecture to use Jenkins as pipeline as service.
Integrated builds into Jenkins and configure GIT parameterized builds. Also installed many custom plugins along with Maven plugins.
Having good knowledge on Docker containerized tool .
Having good knowledge on Kubernetes.
Installed, monitored and configured applications in Nginx and Apache Tomcat Server
Created local repository to connect Linux server to RHEL site for downloading packages and patches.

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Description

Created AWS account and configure the EC2 (Elastic Compute Cloud) instances.
Implemented the cloud watch monitoring tool and Tagging in EC2 instance in AWS.
Implemented the IAM’s (Identity and Access Management) to create the Users, Groups, Role, Policies and Account Setting for the end users in AWS.
Configure a set of Amazon EC2 instances that launch behind a load balancer, with the system scaling up and down in response to demand.
Implemented VPC, Elastic Load Balancer (ELB) and EC2 Auto Scaling.
Implemented the RDS (Relational Database Service) to create the databases with Multi AZ’s in AWS.
Setup the Elastic IP in EC2 instance.
Handling Instance Lifecycle Terminate and Reboot. Start/Stop/Reboot Amazon EC2 instances – as needed by builds or at specific times of the day.
Create/Delete/Backup snapshots of Amazon EBS volumes or images (AMIs) of EBS backed EC2 instances.
Upload/Download/Copy/Delete Amazon S3 Object objects – store and retrieve artifacts via Amazon’s reliable, secure, fast and inexpensive infrastructure.
Implemented the security group to allow the port on EC2 instance.
Implemented the cloud watch alarm (High Status Check Failed System) in EC2 instance AWS.
To installation the all required applications on Amazon Linux machine

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Description

Hands-on experience working with AWS services - EC2, VPC, RDS, ELB, S3, SNS, Cloud watch, EBS, Route 53, Identity & Access Management(IAM), Cloud Formation, Cloud Trail, Lambda and complete understanding of security groups.
Working within an agile team of Engineers and Operations personnel building highly resilient, scalable and performant GCP infrastructure in an automated and efficient manner.
Modifying and improving existing systems. Educating teams on the implementation of new cloud technologies and initiatives.
Designing, developing and deploying modular cloud-based systems.
Experience hosting an application on GCP using Compute Engine, App Engine, Cloud SQL, Kubernetes Engine, Cloud Storage.
Created NAT gateways and instances to allow communication from the private instances.
Experience in long running applications, load balancing, EBS volumes and IAM role using Amazon EC2 instance.
Experience in security policies like Security Groups, IAM roles and MFA.
Implementation of Auto Scaling for instances under ELB using ELB Health Checks.
Setting up the high availability load balancers on instances.
Elastic Compute Cloud instances launch for Linux servers as well as Windows servers and Stop, Reboot, terminate instances with AWS, whenever required.