Administrator Associate Devops Engineer
Resume:
Rajesh.P
***********@*****.***
PROFFESSIONAL SUMMARY
Sr. Cloud DevOps Engineer with 7+ years of IT Experience extensive of DevOps Engineering, Build/Release Engineer. Implemented effective IT strategies and hands-on experience supporting, automating, and optimizing mission critical deployments in Microsoft Azure, Amazon Web Services, leveraging configuration management, CI/CD, DevOps processes Cloud Migration and Linux System Administrator.
Experience in configuring Azure web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure Traffic manager, App services, Analyzing Azure Networks with Azure Network Watcher, Implementing Azure Site Recovery, Azure stack, Azure Backup and Azure Automation.
Expertise in Backup and restore Azure services and in Design and configure Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing. Azure cloud services, Blob storage, Active directory, Azure Service Bus, Cosmos DB.
Worked on Azure web applications, App services, Azure storage, Azure SQL Database, Virtual machines, Fabric controller, Azure AD, Azure search, and notification hub.
Expert in writing Azure Resource Manager (ARM) Template to deploy multiple resources and extensive experience in designing custom build steps using PowerShell scripts and ARM templates to automate the provisioning and deployment process.
Deployed and managed Azure Kubernetes services in which deployed microservices using Azure container registry and Azure Kubernetes services by giving authentication deployed microservices into cluster for scaling and management on Azure cloud services and worked on Azure Web role.
Proficient in AWS-DevOps platform building and deploying applications by using Code Commit, Code Pipeline, Code Build, Code Deploy, EC2, ECS, AWS CLI, and created platform for OpsWorks with reusable stack.
Expertise in Microsoft Azure Cloud Services (IaaS & PaaS), Application Insights, Document DB, Internet of Things (IoT), Azure Monitoring, Key Vault, and SQL Azure.
Experienced in troubleshooting and automated deployment to web and application servers like WebSphere, WebLogic, JBOSS and Tomcat.
Administered and Engineered Jenkins for managing weekly Build, Test and Deploy chain, SVN/GIT with Dev/Test/Prod Branching Model for weekly releases.
Implemented and supported CI process via Jenkins for several java applications including setting up pipeline jobs and downstream job configurations in Jenkins.Experience in managing the repository manager like Nexus, Jfrog, Artifactory for the Maven builds. Integrated Maven with Jenkins by which the Surefire test reports and Javadoc produced by Maven are captured and to build parallel modules for larger maven and Gradle projects.
Extensively worked on Jenkins and Bamboo by installing, configuring and maintaining the purpose of Continuous Integration (CI) and End-to-End automation for all build and deployments implementing CI/CD for database using Jenkins.
Experience in managing knowledge objects like dashboard workflow actions using Splunk Power design. Proficient with Splunk architecture and various components (indexer, forwarder: search head, deployment server), Heavy and Universal forwarder, License model.
Experience in Setting up Chef Workstation, Working with Chef Cookbooks, Chef Recipes, Chef attributes.
Experience working on Docker hub, creating Docker images, and handling multiple images primarily for middleware installations and domain configuration. Having knowledge on various Docker components like Docker Engine, Hub, Machine, Compose and Docker Registry.
Collaborated with development support teams to setup a continuous delivery environment with the use of build platform tool DOCKER.
Experience with Build Tools like Ant, Maven and Gradle for writing build.xml, pom.xml and build. Gradle.
Experience in automating all aspects of infrastructure, application and configuration management using Ansible, Puppet, Chef, AWS (Amazon Web Services).
Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates.
Launching Amazon EC2 Cloud Instances using Amazon Web Services (Linux/Ubuntu) and configuring launched instances with respect to specific applications.
Worked on Deployment and monitoring of scalable infrastructure on Amazon web services (AWS) & configuration management using puppet.
Managed data warehouse using Amazon RedShift to analyze all data using SQL & existing business intelligence tools. Converted existing AWS infrastructure to serverless architecture (AWS Lambda, Kinesis) deployed via Terraform & AWS Cloud formation.
To trigger changes made in AWS Dynamo DB integrated it with Lambda, created Cron jobs for initiating our daily batch data pulls, executing our continuous integration tests done under Jenkins & backup the Dynamo DB streams.
Experience in various programming and scripting languages especially Shell and Python scripting with focus on DevOps tools, CI/CD and performed configuration, deployment, and support of cloud services on AWS Cloud Architecture.
Experienced in branching, tagging, and maintaining the version across the Environments using SCM tools like Git, GitLab, GitHub and Subversion (SVN) on Linux and windows platforms.
Experience in working on version control systems like Subversion, GIT by using source code management client tools like Tortoise SVN, GitBash, GitHub, Git GUI, and other command line applications.
Worked extensively on automation engine Ansible that automates cloud provisioning, configuration management, application deployment, intra-service orchestration, and many other IT needs.
Develop and implement an automated Linux infrastructure using Puppet.
Experience on working with the release and deployment in various environments like Ubuntu, Linux, and Windows.
Automated couple of workflows using PowerShell. Involved in writing Python, Perl and shell scripts for compilation and deployment process.
Experience in using Ticketing & Bug tracking tools like JIRA, Remedy and used SonarQube for automated code review.
Technical Skills:
Cloud
Azure, AWS.
Configuration Management Tools
Ansible, Chef, Puppet
Container tools
Kubernetes, Docker
Build Tools
Maven, ANT, Gradle
CI/CD Tools
Jenkins, Azure DevOps,VSTS
Version Control Tools
GIT, BitBucket, Azure Repos,
Monitoring Tools
Stack Driver, Prometheus, Grafana, CloudWatch, Nagios, JIRA.
Databases
MySQL, Aurora, RDS, MS Access, NoSQL (MongoDB, DynamoDB)
Web Servers
Nginx, Tomcat, APACHE 2.x, 3.x, JBoss 4.x/5.x
Application Servers
Apache Tomcat 5.x/7.x, Red Hat JBOSS 4.22.GA, WebSphere 6.x/7.x/8.x
Networking/Protocols
TCP/IP, DNS, DHCP, EIGRP, BGP, WAN, SMTP, LAN, FTP/TFTP, SSH
Operating Systems
Linux (RedHat Enterprise Linux, CENTOS, FEDORA), Amazon Linux, Ubuntu 12/13/14, DEBIAN, Mac
Scripting
Python, YAML, Ruby, Bash, PowerShell.
Certifications:
1.DevOps Engineer Expert
2.Azure Administrator Associate
3.Certified Kubernetes Administrator
4.AWS Certified Solutions Architect
Professional Experience:
Senior Cloud DevOps Engineer June 2021 - Present
Microsoft- New York, NY
Worked with various Azure services like Web Roles, Worker Roles, Azure Websites, Caching, Azure SQL, Net worker servicers, API Management, Active Directory (AD) services infrastructure in advocating, maintaining, and monitoring. Azure Active Directory (AAD) infrastructure incorporated with periodic auditing, troubleshooting and performance.
Worked on Azure web application, App services, Azure SQL Database, Azure Blob storage, Azure Functions, Azure AD, Azure Data Factory, Azure Service Bus and notification hub. Proficient in using Azure service fabric to package, deploy, manage scalable and reliable microservices and containers.
Worked with Version Control, Build & Release Management and Deployments of the Solutions to the DEV, QA & PROD Environments leveraging Azure DevOps/VSTS principles/process (CI/CD) and toolsets of Visual Studio, AKS (Azure Kubernetes Service), Application Insights, Log Analytics.
Worked on Power Shell scripts to automate the Azure Cloud system in creation of VM, Resource groups, Azure Storage Blobs & Tables, firewall rules and used Python scripts to automate day to day administrative tasks Automated and orchestrated workloads using terraform, Ansible, Salt stack and ARM Templates over Microsoft Azure.
Involved in Serverless services (Azure Functions) where I created and configured HTTP Triggers in the Azure Functions with Application Insights for monitoring and performing the load testing on the Applications using the Azure DevOps Test Plans, also configured Shared dashboards with required metrics and logs.
Created and maintained Continuous Integration (CI) using tools Azure DevOps (VSTS) over multiple environments to facilitate an agile development process which is automated and repeatable, enabling teams to safely deploy code in Azure Kubernetes Services (AKS) using VSTS by YAML scripting.
Created Azure DevOps pipeline CI/CD jobs for end-to-end automation to build, test and deliver artifacts and troubleshoot the build issue during the Azure pipeline build process.
Integrated Ansible with Azure DevOps pipeline to provide Automation, Continuous Integration and deployments of multi-tier applications, artifacts, and services to Docker.
Created CI/CD pipelines for .NET, Nodejs, Python Apps in Azure DevOps by integrating source codes GitHub, VSTS, and artifacts.
Working experience in maintaining branch policies for Azure Repos in both project and individual repositories level by writing scripts in python and PowerShell using Azure DevOps rest API calls.
Provisioned multiple Azure resources such as Compute, Network, and Application Gateway while maintaining dev, test, staging, and production environments by using Azure ARM templates.
Created Terraform templates for provisioning virtual networks, VM Scale sets, Load balancers, and NAT rules, and used terraform graph to visualize execution plan using the graph command. Used Terraform to deploy the infrastructure necessary to create development, test, and production environments for the software development project.
Worked with Terraform Templates to automate the Azure Iaas virtual machines using terraform modules and deployed virtual machine scale sets in a production environment.
Implemented greenfield project leveraging Docker and Azure Kubernetes Service (AKS) for use, including configuration standards, implementing infrastructure with secure networking, and CI/CD pipelines. Used Azure Kubernetes Service to deploy a managed Kubernetes cluster in Azure.
Used Azure Kubernetes Service (AKS) to deploy a managed Kubernetes cluster in Azure and created an AKS cluster in the Azure portal using template-driven deployment options such as Azure Resource Manager (ARM) templates and terraform.
Configured Docker applications that run on multiple containers by utilizing the Docker-Compose tool which uses a file configured in YAML format and used Azure Kubernetes Service to manage containerized applications using its nodes, Config Maps, Selector, Services, and deployed application containers as Pods.
Managed Kubernetes charts using Helm, Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.
Created Helmcharts for the applications and automated all the secrets, Configmaps and KeyTab files and deployed to Kubernetes by packaging as a template by using helm template command.
Experienced in working on Ansible playbooks, and inventories, created custom playbooks written in YAML language, encrypted the data using Ansible Vault, and maintained role-based access control by using Ansible Tower.
Developed Ansible playbooks, inventories, and custom playbooks in YAML, and encrypted the data using Ansible Vault and maintained role-based access control by using Ansible Tower and Implemented IT orchestration using Ansible to run tasks in a sequence which can work on different servers.
Written Ansible handlers with multiple tasks to trigger multiple handlers and to decouple handlers from their names, making it easier to share handlers among Playbooks and Roles.
Developed Power shell scripts to automate web application servers, automation of the build and release process to automate certain processes for the smooth process of build tool.
Experienced with version control tools like GIT, Bitbucket, and SVN. In-depth knowledge of source controller concepts like Branches, Tags, and Merges.
Used SonarQube in build system for continuously inspecting the code quality, Nagios for monitoring and performed log analysis using ELK stack and created monitoring charts.
Professional Experience:
Sr. Cloud/ DevOps Engineer December 2019 – May 2021
GM Financial- Arlington, TX
Responsibilities:
Worked on Microsoft Azure services such as Virtual Networks, Blob storage, Data Factory, Cloud Services, Resource Groups, Express Route, VPN, Service Bus, Cosmos DB, Load Balancing, ARM template, Application Gateways, Auto Scaling, API Management, Network Services, deploying Web Apps, monitoring by Application Insights, and creating Web-Jobs.
Configured Azure Virtual Networks, subnets, DHCP address blocks, Azure network settings, DNS settings, security policies and routing. Also, deployed Azure IaaS virtual machines and Cloud services (PaaS role instances) into secure Virtual Networks and subnet.
Experienced in migrating on premise storage to Microsoft Azure using Azure site recovery, Azure backups and deployed Azure IaaS virtual machines and cloud services (PaaS role instances) into secure Vnets and subnets with Azure Internal Load balancers.
Designed and implementation of complex hybrid identity federation solutions using Active Directory Federation Services (ADFS), ADConnect Synchronization and Azure AD.
Deployed and configured Azure Backups for Virtual Machines and files & folders backups on Windows and Linux operating systems using Recovery Services Vault in Azure Resource Manager.
Devised Terraform to deploy the infrastructure necessary to formulate development, test, and production environments. Configured Azure VPN gateway and established Site-to-Site connectivity, Express Route with on premise Networks and Azure.
Worked in Migrating on-premises DevOps platform to Azure CI/CD process by utilizing ARM templates, Azure DevOps services such as Boards, Repos, Test Plans, Pipelines and Artifacts.
Created CI/CD pipelines for .NET, python apps in Azure DevOps by integrating source codes GitHub, Azure, and artifacts.
Created deployment areas such as testing, pre-production and production environment in Kubernetes cluster and configured App Insights, Prometheus and Grafana monitoring dashboard for regular analysis.
Deployed and optimized two tier .NET web applications to Azure DevOps to focus on development by using Services such as Repos to commit codes, Test Plans to trigger application and unit test, deployed artifacts to App Service, Azure Application Insight collects health performance and usage data of the process.
Created cloud modules for interacting with Azure services which provides the tools to easily create and orchestrate infrastructure on Azure and automated cloud-native applications in Azure using Azure microservices such as azure functions and Kubernetes on Azure Ansible.
Used Azure Kubernetes service to deploy a managed Kubernetes cluster in azure and created an AKS cluster in the Azure portal, with the Azure CLI, also used template driven deployment options such as Resource Manager templates and terraform.
Responsible for implementing containerized based applications on Azure Kubernetes by using Azure Kubernetes service (AKS), Kubernetes Cluster, which are responsible for cluster management, Virtual Network to deploy agent nodes, Ingress API Gateway, MySQL Databases and Cosmo DB for stateless storage of external data, and setup reverse proxy Nginx in the cluster.
Extensively involved in setting up Kubernetes (k8s) clusters for running microservices and implemented a Kubernetes Container Orchestration solution within OpenStack allowing for easy management, creation & recovery of OpenStack assets and managed the container using Docker, set up the automated build on Docker Hub and run multiple Applications by Docker Compose and used to Docker Weave for Network communication between Containers.
Extensively worked on Terraform modules that had version conflicts to utilize during deployments to enable more control or missing capabilities. Managed different infrastructure resources, like physical machines, VMs and Docker containers using Terraform.
Used Terraform to create, change, and improve production infrastructure and maintained versioning infrastructure, safely and efficiently by custom in-house solutions.
Created Terraform templates for provisioning virtual networks, VM Scale sets, Load balancers, NAT rules and used terraform graph to visualize execution plan using graph command. Used Terraform to deploy the infrastructure necessary to create development, test, production environments for software development project.
Wrote several Playbooks and created various roles for applications using Ansible and deployed the Applications/Services on the client hosts.
Automated Builds using Subversion (SVN), Maven and Visual studio as part of continuous integration.
Creating Dynatrace dashboards for business defined KPIs and performance dashboards for applications performance monitoring using Application Insights and Dynatrace SAAS.
Cloud Infrastructure Engineer
P&G- Nashville, TN Jun 2018 – Nov 2019
Responsibilities:
Experienced in configuring Cloud platform such as Virtual Networks Multi-site, Cross-site, VMs, Azure Active Directory, Load Balancers, Azure SQL, Cloud Services etc., and Created Azure Backup vault and protecting requires VMs to take the VMs to take the VM level backups in Azure.
Designed, Configured, and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack (including compute, Web & Mobile, Blobs, Resource Groups, Azure SQL, Cloud Services and ARM), focusing on high – availability, fault tolerance, and auto-scaling.
Extensive involvement in Designing Azure Resource Manager Template and in designing custom build steps using PowerShell.
Experience in integrating Azure Log Analytics with Azure Virtual Machines for monitoring the log files, store
them and track metrics. Experience in Azure AD Domain Service, SSO, MFA, RBAC and Security.
Designed, configured, and deployed Azure Automation Scripts for a multitude of applications utilizing the
Azure stack (Including Compute, Web Mobile, Blobs, ADF, Resource Groups, HDInsight Clusters, Azure SQL,
Cloud Services, and ARM), Services and Utilities focusing on Automation.
Developed methodologies for cloud migration, implemented best practices and helped to develop backup and
recovery techniques for applications and database on virtualization platform.
Worked with broad range of AWS Cloud Services like EC2, ELB, Glacier, Cloud Front, Code Deploy, Elastic Beanstalk, Auto Scaling, Route53, AMI, SNS, SQS, DynamoDB, and CloudWatch and have in depth practical knowledge on other cloud services.
Configured AWS LAMBDA with python scripts so that the servers run on a shutdown schedule. Saving costs for the different AWS resources linked to it through the AWS Cloud formation stacks and reusable Terraform templates.
Configured the SNS, SQS notifications to process the inflight requests which are flowing between the servers from the source to the destination.
Configured AWS Kubernetes (EKS) KOPS, with Terraform scripts to deploy microservices with CI/CD system and to scale up operations of pods, maintain services, load balancing, network policies, group Docker containers across different platform and managed entire package with Helm charts.
Deployed and optimized two tier Python web applications to Azure DevOps CI/CD to focus on development by using services such as Repos to commit codes, Test Plans to unit test, deploy App Service, Azure Application Insight collects health performance and usage data of the process, stored artifacts in blob storages.
Implemented microservices, application development, and migration using AWS/Azure services such as Azure DevOps, Kubernetes Service (AKS), Container Registry, Cosmos DB, and Grafana, Azure pipelines, Monitor, RBAC, AWS Kubernetes EKS and Kubernetes API to run workloads on EKS Clusters.
Designed and implemented Continuous Integration (CI) using tools Azure DevOps over multiple environments to facilitate an agile development process which is automated and repeatable, enabling teams to safely deploy code many times a day while ensuring Azure Kubernetes Services (AKS) are supported.
Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments. Integrated Azure Log Analytics with Azure VMs for monitoring the log files, store them and track metrics and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers.
Installing, configuring, and administering Jenkins CI tool on Linux machines. Used Jenkins pipelines to drive all Microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
Integrated Jenkins with Docker container using Cloud Bees Docker pipeline plugin to drive all microservices builds out to the Docker Registry and then deployed to Kubernetes. Integrated Selenium automation regression test suite in Jenkins build pipeline. Developed Continuous Deployment pipeline by integrating Jenkins with Terraform, Developed Modules in Terraform to trigger the Infrastructure on the Azure.
Proficient in creating Docker images using Docker File, worked on Docker container snapshots, removing images, and managing Docker volumes and implemented Docker automation solution for CI/CD model.
Experience on working with Ansible Tower to create projects, inventory files, templates, and scheduling jobs. Wrote Ansible playbooks with python SSH as the Wrapper to Manage Configurations of Azure Nodes and Test playbooks on Azure Virtual machines.
Experience in Automation of various infrastructure activities like continuous deployment, application server setup, stack monitoring using Ansible playbooks and has integrated playbooks with Rundeck and Jenkins.
Setup and configured GitHub Enterprise in conjunction with Jenkins as Continuous Integration platform.
Defined and managed release planning and branching strategy of GIT servers. Also, helped educate engineering community on the appropriate use of GIT. Coordinated with developers for establishing and applying appropriate branching, labelling/naming conventions using GIT repos.
Established infrastructure and service monitoring using Prometheus and Grafana.
Written PowerShell script to automate Active Directory and server tasks and generate reports for administrators and management.
Created JIRA issues to prioritize and take an action on what is important and stayed up to date with what's going on around the project.
DevOps Engineer:
Walmart-Bentonville, AR Feb 2017– May 2018
Responsibilities:
Configured Azure cloud services, Azure storage, Azure active directory, Azure Service Bus. Created and managed Azure AD tenants and configured application integration with Azure AD.
Configured and deployed Azure Automation Scripts for a multitude of applications utilizing the Azure stack services including Compute, Web & Mobile, Blobs, ADF, Resource Groups, Azure Data Lake, HDInsight Clusters, Azure SQL and ARM focusing on automation, created quality gates in SonarQube dashboard and enforced in the pipelines to fail the builds when conditions not met.
Provisioned Azure recourses like SQL Database, Web App, Storage Account, Redis Cache, Virtual Machine, IoT Hub, and HDInsight using Azure Resource Manager (ARM).
Acted as build and release engineer, deployed the services by VSTS (Azure DevOps) pipeline. Created and Maintained pipelines to manage the IAC for all the applications.
Used Git as a SCM tool with Azure DevOps (VSTS), created a local repo, cloning the repo, adding, committing, pushing the changes in the local repo, recovering files, creating tags, viewing logs.
Experience with Azure Cloud Services (PaaS & IaaS), Azure Virtual Machines Azure Storage, SQL, Azure, Azure Active Directory, application insights, and logic apps.
Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.
Automated CI/CD pipelines, deployments of web application based on .NET, Node.js, Python, Java, using AWS Code Deploy, Code Pipeline, EC2, and secured by creating IAM roles and policies for services and users.
Experience in setting up the infrastructure using AWS services including ELB, EC2, Elastic container services (ECS), Auto-scaling, S3, IAM, VPC, Red Shift, DynamoDB, Cloud Trail, Cloud Watch, Elastic Cache, Lambda, SNS, Glacier, Cloud Formation, SQS, EFS, and Storage Gateway.
Handling migration of on-premises applications to cloud, and created resources in cloud to enable this, using all critical AWS tools, used ELB and Auto-Scaling policies for scalability, elasticity and availability.
Application deployment and data migration on AWS. Design applications on AWS taking advantage of disaster recovery design guidelines.
Worked in building servers using AWS, launching EC2, auto-scaling, load balancing for specific virtual private connection. Worked on major applications migration from internal datacenter to AWS. Successfully migrated complex applications with no major issues or customer impact.
Used Kubernetes for creating new Projects, Services for load balancing and adding them to Routes by accessing from outside, created Pods through new application and controlling, scaling and troubleshooting pods through SSH.
Managing major architecture changes from single server large software system to a distributed system with Docker and Kubernetes orchestration.
Installed Docker Registry for local upload and download of Docker images and even from Docker hub. Worked closely with developers to pinpoint and provide early warnings of common build failures.
Used to write yaml files in which I define multiple services of docker applications and used docker compose to launch those services in different Environments.
Experience in using Jenkins pipelines to drive all microservices builds out to the Docker images and stores in
Docker registry then deployed to Kubernetes, Created Pods and managed using Kubernetes and performed
Jenkins jobs for deploying using Ansible playbooks and Bitbucket.
Used Terraform Configuration files for creating AWS infrastructure which consist of API Gateway, Elastic
Load Balancers (Network and Application), IAM roles, DNS using Route 53 services, and Multiple ECS
Clusters.
Expertise Terraform to reliably version and create infrastructure on Azure/AWS. Created resources, using Azure/AWS Terraform modules, and automated infrastructure management and experienced with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation and extensively used Auto Scaling for launching cloud instances while deploying Microservices and used Terraform to map more complex dependencies and identify network issue. Provisioned largescale environments as infrastructure as a code using terraform Involved in writing various.x ‘[
Configured JIRA as defect tracking system and configured various workflows, customizations, and plugins for
the JIRA bug/issue tracker.
Performed WebLogic Server administration tasks such as installing, configuring, monitoring and performance
tuning on Linux environment.
Cloud Engineer
Kellton Tech Solutions-Hyderabad, India Dec 2015 - Jan 2017
Responsibilities:
Created AWS CloudFormation template by using JSON/YAML and implemented Tomcat and Apache Web servers for deployment and coordinated with offshore and onshore teams for production, also created CRON job for recovering crucial data of production by using AWS REST API to store on Dynamo DB.
Worked in Cloud Automation using AWS cloud formation templates. And also implemented automated local user provisioning instances created in AWS cloud.
Responsible for provisioning, maintaining, and improving upon server infrastructure, split between physical data centers and AWS.
Provisioning environments in AWS cloud, building everything in Chef.
Assisting in the incident management process by reviewing production data and providing analysis on customer-impacting incidents.
Deployed and hosted the application on AWS using OpsWorks, automated single click deployment onto AWS using Chef.
Administrated and monitored activities for SVN, GIT, TFS, Perforce, UCM Clear case and CVS.
Designed and Developed Bamboo Build deployments on Docker containers.
Developed bamboo Plans for Maven builds, creating them on bamboo and running them.
Used Puppet for deployment to make easier by avoiding writing scripts.
Maintained build related scripts developed in ANT, Python, and shell. Modified build configuration files including Ant’s build.xml.
Developing Python scripts to automate various system tasks, OS patches for dev environments, and deployment of applications to testing/ prod environments using Python OS modules.
Worked on troubleshooting various Linux server and network related issues using log files and tools like ping, telnet, strace, and traceroute for application teams, configured NIC bonding/NIC Teaming Configuration in Linux/Unix/window/VMware systems to increase the performance based on the
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