Manojram Rayapureddy

Sr.DevOps/Cloud Engineer

adzz5c@r.postjobfree.com 530-***-****

linkedin.com/in/manojramreddy

Professional Experience :

IT Professional with 7 years of experience in the IT industry as DevOps/Cloud Engineer, Build and release management. Experience in the Complete Software Development Life Cycle (SDLC), Waterfall, Agile environment and server-side deployment in the application, middleware layers.

Experience in AWS services such as EC2, ELB, Auto-Scaling, S3, IAM, VPC, RDS, Dynamo DB, Cloud Watch, Cloud Trail, Lambda, Elastic Cache, Glacier, SNS, SQS, Trusted advisor, Cloud Formation, Cloud Front, Elastic Beanstalk, KMS, EMR, ECS, AWS Workspaces.

Experience in writing Cloud formation templates to provision the infrastructure in AWS cloud environment.

Experience in creating Terraform modules for two-tier Architecture which includes AWS resources VPC, Subnets, Security groups, EC2, Load Balancers, Auto scaling group, Cloud watch Alarms, ECS clusters, S3 buckets for logs.

Written Templates for AWS infrastructure as code using Terraform to build staging and production environments.

Planning and implementation of data and storage management solutions in Azure (SQL Azure, Azure files, Blob storage, Table storage, Queue storage, File storage) and deployed Azure SQL Server.

Working experience on Microsoft Azure Cloud services, Storage Accounts.

Hands-on Expertise using Source code Management tools GIT, Bitbucket and SVN. Creating branching strategies for Developers and Admins also for Hot-fixes, Features, and Releases.

Implemented Continuous Integration and deployment by automation scripts in a pipeline process.

Experience in writing shell scripts to push the code from Jenkins. Experience in Continuous Integration (CI) and Continuous Deployment (CD) using Jenkins

Created a Jenkins job that runs an Ansible Playbook to deploy an Elasticsearch cluster using troposphere and CloudFormation.

Virtualized the servers using Docker for the test environment and dev-environment needs, also configuration automation using Docker containers.

Worked on Kubernetes to orchestrate Docker containers of new and existing applications as well as deployment and management of complex run time environment.

Experience in managing the clusters using Kubernetes and worked on creating pods, replication controllers, services, deployments, labels, health checks.

A unique experience in creating and maintaining various DevOps related tools for the team such as provisioning scripts, orchestration, deployment tools and staged virtual environments using Docker and Vagrant.

Hands-on experience with configuration tools like Chef and Ansible. Created several Cookbooks, Manifests and Playbooks to automate infrastructure maintenance & configuration.

Experience in installing and Configuring Configuration Management tools like Chef, Ansible adding nodes as per the requirement and writing Chef recipes and Cookbooks, creating Run-lists and Ansible playbooks, Roles to have the task accomplished.

Experience in developing the Playbooks in Ansible integrating them to the Source code repository and deploying them onto the servers to reduce the downtime.

Worked on SQL, RedShift, MongoDB and DynamoDB databases. Migrating the databases and writing Queries, Stored procedures, Triggers as per the requirements.

Experience in Monitoring server performance with tools like Nagios, Splunk, Datadog, New Relic, Dynatrace and resolved network-related issues with manual commands and built Splunk Cluster environment with high availability resources.

Experience with Bug tracking tools like JIRA, Remedy to keep track of issues and progress of the issued tasks.

Worked on creating Lambda functions to have the serverless provisioned using the Boto3 module of python.

Skilled enough to build deployment and automate solutions(using scripting language like Bash,Shell and Python)

Automated various day-to-day administration tasks by developing Bash, Ruby, JSON, Perl, PowerShell, and Python Scripts.

Technical skills:

Operating Systems

Linux, Unix, Windows.

Cloud Services

AWS, Open Stack, Azure, PCF.

Virtualization Platforms

Oracle virtual box, Vagrant, VMware ESXI.

Version Control

Git, SVN, Bitbucket.

Build Systems

Maven, Ant.

CI Tools

Jenkins, Bamboo.

Networking

TCP/IP, NFS, Telnet, FTP, DNS, DHCP, NAT, NetStat, HTTP, SAMBA, IPTABLES.

Containerization Tools

Docker, Kubernetes.

Configuration Management

Chef, Puppet, Ansible.

Application Servers

Oracle WebLogic, Tomcat, WebSphere.

Web Servers

Apache, Nginx.

Databases

Oracle, MYSQL,DynamoDB,PostgreSQL.

Scripting Languages

Shell, Ruby, Python.

Bug tracking and Ticketing tool

JIRA, Rally.

Work Experience:

Client: Cigna, Bloomfield, CT

Role: Sr.Cloud/DevOps Engineer. Oct 2022 – Jan 2023

Responsibilities:

Configured an AWS Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources within the Amazon RDS Oracle DB cluster.

Experience in designing and deploying AWS Solutions using EC2, S3, EBS, an Elastic Load Balancer (ELB) and auto scaling groups.

Supported AWS Cloud EC2 instances and used AWS command line Interface to manage and configure various AWS services.

Leveraged AWS Glue for automated data transformation and preparation, optimizing data for analytics. Wrote complex SQL queries and Spark jobs for data transformation and enrichment.

Leveraged AWS EMR to facilitate the transformation and seamless transfer of substantial data volumes to and from various AWS data stores and databases, including Amazon S3 and Amazon DynamoDB.

Used Terraform for provisioning AWS resources and CloudFormation for defining and deploying infrastructure.

Designed and implemented data lakes on AWS S3, storing and processing large volumes of structured and unstructured data. Automated on-demand S3 backups, providing an additional layer of data security and reducing manual workload. Implement data security and access controls using AWS IAM and KMS.

Developed and automated ETL pipelines using AWS Lambda, Python, AWS Glue, and Amazon EMR to process and load data into Amazon Redshift for on-arrival CSV files in the Amazon S3 bucket and implemented partitioning and distribution styles in Amazon Redshift.

Used ECS service to supports Docker containers to easily run and scale containerized applications on AWS.

Experience working with IAM to create new accounts, roles and groups.

Designed NoSQL Document Data Model for DynamoDB.

Used Data-pipeline to off-load the DynamoDB to S3 at scheduled intervals.

Installation, Configuration and Management of RDBMS and NoSQL tools such as Dynamo DB .

Created, managed and performed container-based deployments using Docker images containing Middleware and Applications together and Evaluated Kubernetes for Docker container orchestration.

Monitored the Application and Infrastructure health by analyzing the logs and observing the user dashboard using Splunk.

Setup Datadog monitoring across different servers and aws services.

Created datadog dashboards for various applications and monitored real-time and historical metrics.

Created system alerts using various datadog tools and alerted application teams based on the escalation matrix.

Integrated cloudcheckr, Datadog, Splunk Dashboard with aws accounts.

Application migration from PCF to EKS

Git lab pipeline design and development along with runner configurations

Environment: PCF, AWS, Git, Python, Ansible, Git, Jira, Terraform, Kubernetes,, Jenkins, Linux, Windows, Splunk

Client: FedEx, Coraopolis, PA

Role: Cloud/DevOps Engineer. Feb 2021 – Sep 2022

Responsibilities:

Worked on AWS Services like EC2, VPN, ENI, Security Groups, ELB, AMI, EFS, S3, EBS, IAM, KMS keys, CloudFormation Templates, Autoscaling groups and Elastic search.

Migrated on premise applications to public cloud Services like AWS.

Created Custom AMI’s using Jenkins and CloudFormation.

Performed AWS server Rehydration’s and encrypted AMIs and EBS volumes.

Created High available and scalable applications for java on AWS cloud.

Utilized Cloud watch to monitor system metrics by configuring CloudWatch Dashboard.

Worked on Access Management for Various applications and implemented security of applications by ForgeRock applications.

Using different kinds of build tools like ANT, Maven, Gradle, and MS build.

Monitoring the application using AppDynamics and OVO after deploying to a production environment.

Design and implement the CICD architecture and automation solutions using GITLAB, Jenkins.

Experienced in Gitlab CI and Jenkins for CI and for End-to-End automation for all build and CD

Developing CI/CD pipelines with GitLab CI to build, test, promote and deploy core services and docker images used by multiple dev teams

Deploying to production environment in AWS using terraform.

Used Gradle and Maven as a build tool on Java based projects for the development of build artifacts on the source code.

Transfer data from Datacenters to cloud using AWS Import/Export Snowball service.

Participated in ongoing design, using Groovy Scripting (Shared Libraries) implementation, and maintenance of systems and tools to implement CICD pipeline.

Created recommendations on how to duplicate a subset of on-premise machines to the Azure Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. This analysis included the specifics to synchronize on-premise data with SQL Server and SharePoint instances hosted in VMs.

Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and in Data centers and migrating to Azure using Azure Site Recovery and collecting data from all Azure Resources using Log Analytics and analyzed the data to resolve issues.

Used Docker for setting Azure Container Registry with Docker and Docker-compose and actively involved in deployments on Docker using Kubernetes

Implemented a CI/CD pipeline with Docker, Jenkins (TFS Plugin installed), Team Foundation Server (TFS), GitHub and Azure Container Service, whenever a new TFS/GitHub branch gets started, Jenkins, our Continuous Integration (CI) server, automatically attempts to build a new Docker container from it.

Developed microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.

Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal. Automated most of the daily task using python scripting

Created CI/CD Pipelines in Azure DevOps environments by providing their dependencies and tasks. Also have experience on implementing and managing continuous delivery systems and methodologies on AWS and created END-END Automation with CI Procedures using Jenkins & automated Maven builds by integrating them with Continuous Integration tools Jenkins Designing and implementing fully automated Server build management,

Responsible for designing and deploying best SCM processes and procedures with GitHub, GIT . Familiar with analyzing and resolving conflicts related to merging of source code for clear case. Achieved CI/CD Pipeline by using the GitHub, Jenkins, Artifactory, Ansible Playbooks.

Provisioned Server Infrastructure cluster using Terraform scripting.

Deploy application code using CI/CD pipeline with Azure DevOps in Azure cloud, scale VM build automation using Azure DevOps in Azure VM agent plug-ins. Hands on experience on Kubernetes to automate the deployment, scaling and operations of application containers across clusters of hosts.

Created various scripts in Python and Ruby for automation of various build processes.

Environment: Azure, PCF, VPC, Git, Python, Ansible, Git, Jira, Terraform, Kubernetes,, Jenkins, Linux, Windows, Oracle

Client: Invesco, Atlanta, GA

Role: Cloud/DevOps Engineer. Sep 2020 – Dec 2020

Responsibilities:

Handled migration of AWS resources from one account to Invesco AWS account. Worked on making sure all the resources are created with a code and apply the same code to launch the resources in the other account VPC

Developed Python scripts to take backups of Elastic Block Storage (EBS) volumes using AWS Lambda and Cloud Watch and automate AWS services which include Web servers, ELB, Cloud Front Distribution, Database, Security groups, S3 bucket and application configuration

Worked on building secure, highly scalable and flexible systems that handled expected and unexpected load bursts using AWS services like EC2, auto-scaling, and VPC. Provided high durability and availability of data using the AWS S3 storage and versioning and setting up lifecycle policies.

Accountable for setting up databases in AWS using RDS, configuring EC2 instance backup by using S3 storage buckets, and AWS CLI (Command Line Interface).

Provisioning AWS infrastructure by developing Cloud Formation templates both in JSON and YAML to deploy services like AWS EC2 and EKS.

Worked on Validation and deployment of AWS CloudFormation stacks into Prod Environment across several AWS regions by setting up a multi-region architecture which ensured consistency of the workload.

Developed clusters for several environments (Dev/Test/Prod) of different role-based applications on AWS by provisioning Kubernetes clusters on EC2 instances using Docker, Bash, and Terraform.

Worked on Kubernetes Ingress to manage the external and internal HTTP(S) access to Kubernetes services running in the clusters. Also triggered the creation of Application Load Balancer (ALB) on to the application to balance the traffic on the application layer

Developed CI/CD pipeline with Jenkins for the Kubernetes environment and utilized Kubernetes for the runtime environment for the CI/CD system to Build, Test, and Deploy

Configured Kubernetes to manage containerized applications using its nodes, Config Maps, Selector, Services, and deployed application containers as Pods.

Installed Jenkins/Plugins for GIT Repository and Setup SCM Polling for Immediate Build with Maven Repository.

Configured security and system in Jenkins and also added multiple nodes to Jenkins and configured SSH for continuous deployments.

Created four staged CI/CD pipelines with AWS Code Pipeline plugin for Jenkins, GitHub repository, Jenkins build server EC2 instance using IAM instance role, proxy and firewall settings to allow inbound connections on server and AWS Code Deploy.

Worked in GIT (GitHub/Gitlab) implementation containing various remote repositories for maintaining microservices repositories and configuring several build pipelines to deploy war/jar packages.

Assisted developers with establishing and applying appropriate branching, labeling/naming conventions using GIT source control and analyzed and resolved conflicts related to merging of source code for GIT.

Deployed and configured GIT repositories with branching, tagging, and notifications.

Environment: AWS, IAM, EC2, S3, RDS, VPC, Git, Python, Ansible, Git, Jira, Terraform, Kubernetes, CloudFormation, Jenkins, Linux, Windows

Client: Nintendo of America Inc, Redmond, WA

Role: Cloud/ DevOps Engineer. Feb 2020 – Aug 2020

Responsibilities:

Identifying and implementing the best practices with in AWS cloud architecture and environments to support applications with company security guidelines.

Working with various AWS services like EC2, S3, Glacier, ELB, (Load Balancers), VPC, AMI, SNS, SWF, RDS, IAM, ROUTE 53, Auto Scaling, CloudFront, CloudWatch, CloudTrail, OpsWorks and Security Groups on a regular basis.

Involved in building and maintaining highly secure multi-zone AWS cloud infrastructure utilizing AWS Cloud Formation and Jenkins for continuous integration.

Experienced in configuring containerized microservices and maintaining private container registry on Microsoft Azure for Hosting Images.

Experienced in creating different environments for multiple projects (i.e. Dev, Test, Staging and Production) in Azure Platform.

Experience in Designing Resource Manager Template and experience in designing custom build. Led migration of VM’s to Azure Virtual Machines with Azure Site Recover.

Spun up Azure services like Virtual Machines, Storage Accounts, App Services, Load Balancers, Traffic Managers using Azure Resource Manager (ARM) template

Build Data Sync jobs on windows Azure to synchronize data from SQL databases to SQL AZURE and create Cache Memory on Windows Azure to improve the performance of data transfer between SQL Azure and WCF services.

Managed Azure Container Registry to store private Docker images, which are deployed and Azure pipelines to build, test, and deployments. Azure Monitor to collect metrics and logs. Configured Monitor to track performance and maintain security, and used Splunk tool to collect metrics, queries.

Created Users, Groups, Roles, Policies and Identity providers in AWS using Identity Access Management (IAM) for improved login authentication.

Working with build tools Maven, Ant to create builds as per projects requirements and also maintaining uniformity.

Involved in building Azure Security Controls for onboarding on-prem applications to Azure.

Built and managed policies for S3 buckets to access application logs and used S3 buckets for storage and backup on AWS and encrypted S3 buckets.

Created Kubernetes Pods, clusters, replication controllers, services, labels, health checks, and ingress by writing YAML files and deployed microservices on Docker containers.

Using the IAM user data to as cross-reference to Azure Directory and maintain for term users.

Managed several IAM accounts for users with specific policies attached to each of them and implemented Multi Factor Authentication to meet security compliance.

Involved in designing and deploying a multitude application utilizing almost all of the AWS stack

Including EC2,S3, RDS, Dynamo DB, SNS,SQS.IAM) focusing on high-availability fault tolerance, and auto scaling in AWS cloud formation Administered for weekly Build, Test and deploy chain.

Developed lambda functions to remove IAM users that show no signs of activity in the past 90.

Responsible for defining and creating API architecture for a large-scale digital transformation using AWS API Gateway and Lambda functions.

Designed AWS CloudFormation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.

Building up the internal NOA cloud user database and describing workloads in all accounts.

Involved in building Azure Security Controls for onboarding on-prem applications to Azure

Configured Network Security Group for azure security and route traffic between virtual machines

Administered Azure security services to include Azure Defender for Cloud, Azure Policy, Azure Web Application Firewalls, and Log Analytics

Maintain NOA secrets server manger to secure the keys and for secure deployment.

Moved the AWS /Cloud watch alerts to Splunk and monitored the application and Infrastructure health by analyzing the logs and observing the user dashboard using Splunk.

Used MS SQL which is one for our monitoring system, There was a requirement to dynamically delete the nodes from monitoring system, when the system got scaled out I have to read the schema document of the system and wrote SQL scripts to mark the device for deletion in the respective table, which would be taken by system for deletion of device.

Well versed in managing source code repositories like SVN, Git, GitHub, Bit bucket.

Developed scripts with Python to automate the report generation.

Developed Python script to automate the key rotation and reduce the time to rotate the keys.

Evaluate existing architectures, identify gaps, and propose course of action to improve stability, manageability, and cost.

Develop documentation, user manuals, policy and procedure information for AWS.

Environment: AWS, AZURE, NOA cloud, IAM, EC2, S3, RDS, VPC, Git, Python, Ansible, Splunk, Git, Jira, Terraform, CloudFormation, Jenkins, Linux, Windows

Client: The Wine Group, Tracy, CA

Role: Cloud/ DevOps Engineer. Feb 2018 – Feb 2020

Responsibilities:

Handled migration of on-premise applications to the cloud and created resources inside a cloud and in deploying of on-premises hosted applications on AWS platform

Build and configure a virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse

Created Python scripts to totally automate AWS services which includes web servers, ELB, Cloud Front distribution, database, EC2 and database security groups, S3 bucket and application configuration, this script creates stacks, single servers, or joins web servers to stacks.

Responsible for defining and creating API architecture for a large-scale digital transformation using AWS API Gateway and Lambda functions.

Created Microservices using AWS Lambda and API Gateway using REST API. Deployed Lambda code function and configured it to receive events from Amazon S3 buckets

Created Lambda functions to implement tasks like taking EBS volume snapshots in regular intervals and copying the files in between the S3 buckets only when the actions are triggered.

Implemented AWS solutions using EC2,RDS and Auto scaling groups, Optimized volumes and EC2 instances.

Used Azure Storage services like migrating Blob Storage for document and media file, Table storage for structured datasets, Queue storage for reliable messaging for workflow processing and file storage to share file data

Ownership for Azure SQL server DB deployment & managed the continues integration & continues deployment.

Design the data model and creating schema on SQL Azure.

Used HashiCorp Packer to create and manage the AWS AMI's and Vault to manage AWS secret keys.

Used AWS Snowflake and leverage SQL-db on top of the already existing data analytics and also to enable the flexibility in secure data-sharing between the teams.

Manager for installing Jenkins, Artifactory tools, etc., by running Helm charts

Worked on writing the Maven script for the build process and maintained the configuration file POM.xml

for continuous integration.

Integrated Jenkins CI/CD tool with Sonarqube, Junit, Nexus to run unit tests and review and analyze the code for greater quality and then push it to the Artifactory server.

Deployed various IAM Policies and Roles to AWS Users through Ansible Playbooks with the help of the Boto3 Framework.

Wrote Playbooks in YAML to automate the entire deployment process as well as infrastructure admin tasks and Used Ansible for Continuous Delivery, Managed CI/CD process and delivered all applications in RPMs.

Implemented Packer to bake AMI’s with Ansible Playbooks and build Packer AMI’s, Terraform Enterprise to Provision Infrastructure across AWS Workloads and Kubernetes Clusters, and Vault Enterprise for Secrets and Certificates Management using various Back-ends.

Good knowledge in setting up Kubernetes (k8s) cluster with CloudFormation templates and deploy them over AWS

Environment and monitoring the health of pods and for running microservices and pushed microservices into production with Kubernetes backed Infrastructure and automation through playbooks in Ansible.

Made the Ansible playbooks to manage the infrastructure components. Setup of Ansible tower for centralize management of servers and their manifests was done most recourse managed via ansible was filesystem and user access level for various application.

Virtualized the servers using Docker for the test environments and dev-environments needs and configuring automation using Docker containers.

Used MAVEN build tool for the development of build artifacts on the source code (.WAR) and Installed and configured Nexus repository manager for storing the artifacts within the company using the Continuous Integration tool like Jenkins

Installed, Configured, Managed Monitoring Tools such as New Relic, CloudWatch and Nagios for Resource Monitoring, Network Monitoring and Log Trace Monitoring.

Configuring and managing an ELK stack, set up the elastic search ELK Stack to collect search and analyze log files from across the servers.

Configured tools like Elastic Search, Log stash and Kibana and monitored Application and server logs using the ELK stack.

JIRA as a Project management tool and used tool for issue tracking and Bug tracking. Reported performance-related issues to management by doing analysis, tracking of existing systems, and used Confluence to create, share and discuss content and projects.

Environment: AWS, Terraform, Azure SQL, Kubernetes, Ansible, Docker, Jenkins, Git, Jira, Maven, ELK, Snowflake,Java, Shell, Bash, Python, Nexus, DynamoDB, WebLogic, Tomcat, Linux.

Client: We Energies, Milwaukee, WI

Role: Cloud /DevOps Engineer. Feb2017 – Jan 2018

Responsibilities:

Involved in building and maintaining highly secure multi-zone AWS cloud infrastructure utilizing chef with AWS Cloud Formation and Jenkins for continuous integration.

Managed several IAM accounts in AWS for users with specific policies attached to each of them, implemented Multi-Factor Authentication to meet security compliance.

Designed and deployed AWS solutions using EC2, EBS, Elastic Load Balancer (ELB), Auto-scaling groups and Ops works.

Created several customized Cloud Formation Templates in AWS which has specific configurations for subnets, security groups, NACLs, NAT Gateways, VPC, EC2, ELB, and other Services as per the requirement.

Written templates in JSON format for cloud formation and python Script for CHEF automation and contributed source code to the GitHub repository.

Built a deployment pipeline for deploying tagged versions of applications to AWS Beanstalk using Jenkins CI.

Worked on Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like GIT.

Configured various jobs in Jenkins for the deployment of Java-based applications and running test suites. Setup ANT script-based jobs and worked with Jenkins Pipelines.

Configured Jenkins to implement nightly builds on a daily basis and generated a change log that includes daily commits.

Utilized configuration management tool Chef and also created and managed Chef Cookbooks using recipes to automate system operations.

Highly involved in Configuring, monitoring, and multi-platform servers by defining Chef Server from workstation to manage and configure Chef Nodes.

Implemented environments, roles, and data bags in Chef for better environment management.

Written Chef Cookbooks and recipes in python to Provision several pre-prod environments consisting of Cassandra DB installations, WebLogic domain creations, and several proprietary middleware installations.

Extensively used Docker for virtualization, run, ship, and deploy the application securely for fastening the build/release engineering.

Created container based virtualized deployment using Docker working with Docker images, Docker-hub and Docker registries.

Created dashboards to monitor servers using Splunk. Debugged and solved Splunk Integration challenges

and Splunk configuration issues.

Monitored and tracked server performance problems, administrations and open tickets with Splunk.

Environment: AWS, EC2, S3, RDS, EBS, IAM, Blob storage, Table storage, Queue storage, file storage, BeanStalk, Jenkins, Ant, Chef, Docker, Git, Splunk

Client: HP, Hyderabad, India

Role: DevOps Engineer. Aug 2014 – July 2015

Responsibilities:

Utilized VMware Virtual Client 3.5 in creating and cloning Linux Virtual Machines, and migrating servers between ESX hosts and building KVM hypervisor.

Involved in setting up and configuring Install Server, Configuration Server & Boot Server using PXE booting for Kickstart process & performed Kickstart to install OS on Linux boxes.

Worked on Multiple AWS instances, defined the security groups, Elastic Load Balancer, and AMIs, Auto scaling to design cost-effective, fault tolerant and high availability systems.

Configured AWS S3 buckets with various life cycle policies to archive the infrequently accessed data to storage classes based on the requirement.

Hands-on experience with AWS IAM to set up user roles with corresponding user and group policies using JSON.

Configuring the rules to each security group associated with AWS EC2 instances.

Created roles, groups for users and resources using AWS IAM.

Installing and configuring of Apache and Nginx web servers on AWS EC2 Instances.

Configuring and Networking of AWS Virtual Private Cloud and Written CloudFormation templates and deployed AWS resources using it.

Used AWS CloudWatch and ELK for maintaining system Logs.

Installing, configuring and administering continuous integration tool Bamboo on Linux machines.

Setup Master-slave architecture to improve performance and used Bamboo for CI & CD into Tomcat Application Server.

Deployment of build artifacts like WAR, JAR and EAR packages into Jfrog Artifactory using shell/python scripts.

Managing and Architecting more than 3500 virtual servers and Monitoring the Application Servers and Web-Servers through Nagios.

Environments: Solaris 8/9/10, AWS EC2, IAM, S3, VPC, NAT, CloudFormation, Terraform, Tomcat, Nginx, Git, Linux /Unix, Jfrog Artifactory, Bamboo, ANT, Maven, Python, Ruby, Chef, Docker, Nagios.

Client: MasTek, Hyderabad, India

Role: Jr. System Administrator June 2012 – July 2014

Responsibilities:

Installation, configuration and Operating System and upgrade of, RedHat, CentOS, Ubuntu, and SunSolaris.

User account management and support.

Worked on Operating System installations and BIOS upgrade and Maintenance.

Installation and configuration of the LAMP server on Debian and CentOs.

Administration of file and directories with basic file permissions.

Configured Linux Firewall with IPCHAINS&IPTABLES

Worked

Contact this candidate