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Aws Cloud/devops Engineer Resume

Dallas, Tx

SUMMARY:

  • 7+ years of experience in IT industry with major focus on Software Configuration, Build/Release Management, DevOps Engineering, Delivery Management Design, Cloud, Linux and UNIX system Administrator.
  • Managed servers on the Amazon Web Services (AWS) platform instances using Ansible Configuration management .
  • Strong experience working with AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, CloudWatch, Lambda, CloudFormation, Autoscaling, IAM, S3.
  • Experienced in setting up Amazon EC2 and setting up security groups.
  • Experienced in managing Nexus and Artifactory Repositories for the maven artifacts and dependencies.
  • Experienced in using Build automation tools like ANT and MAVEN for building of deployable artifacts from source code.
  • Experienced in writing Ansible playbooks to launch and automate AWS instances on Ubuntu and Amazon Linux.
  • Experienced in installing and configuring Apache, Tomcat, Java and SQL and web hosting administration HTTP, SSH and RSH.
  • Experienced with container - based deployments using docker and a good knowledge on working with docker images, Docker Hub and Kubernetes.
  • Good knowledge in working with source code management tools like GIT and SVN and continuous integration management using Jenkins and Bamboo.
  • Expertise in deploying applications on to the servers using shell, ruby, bash and groovy scripting.
  • Experienced in development and configuration experience with software provisioning tools like Ansible , Chef and Puppet .
  • Extensive experience with Version Control Management, Project Management, Work Item Customization, Build Services, Release Management, Reporting using TFS.
  • Good Knowledge on chef cookbooks to manage configurations and automate installation process and developed automation scripting using chef to deploy and manage applications across Linux servers.
  • Experienced in setting up backups, restorations automatically using Cron jobs.
  • Versatile in dealing with Azure IaaS & PaaS - Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application gateways, Auto-scaling, Traffic Manager, Azure Web Apps, Wed Roles, Worker Roles, Azure SQL and Azure Storage.
  • Experienced in working with deployment of applications to Apache Tomcat, WebSphere, Web Logic, JBOSS Servers
  • Automated repetitive admin tasks including logging, monitoring, log rotation, and backups. Built custom RPMs, mirrored YUM and application repos.
  • Experienced in managing cloud software deployments, with a focus on continuous integration and deployment using, GitHub , Jenkins , GIT and Maven which requires developers to integrate code into a shared repository several times a day.
  • Monitor and maintain the automated build and CI process to ensure correct build execution and facilitate resolution of build failures using ticketing tools like JIRA, Rally .
  • Daily activities included, delivering daily/nightly builds for the scrum teams, supporting teams with SCM requests , maintaining code stability using CI methodologies, code merging, deployments and troubleshooting other day-to-day issues.
  • Elevated Network Systems such as Servers, Switches, Firewalls and Routers. and resolved network issues and skilled in Network protocols such as TCP/IP, and DNS, DHCP.
  • Experienced in Installing, Configuring, Tuning and troubleshooting of Red Hat EL 5.x, 6.x,7.x and VMware ESX environment and extensive knowledge of Multiple Client Operating Systems such as Windows, UNIX and Linux.
  • Good team player with interpersonal skills, dedicated and self-motivated, understanding the demands of 24/7 maintenance with good customer support experience.

TECHNICAL SKILLS:

Cloud Environment: Amazon Web Services (AWS), Azure.

Infrastructure as code: Terraform and Cloud Formation.

AWS Services: VPC, IAM, S3, Elastic Beanstalk, CloudFront, Redshift, Lambda, Kinesis, DynamoDB, Direct Connect, Storage Gateway, DMS, SMS, SNS, and SWF.

Operating Systems: Linux (Red Hat, CENTOS & SUSE), Ubuntu, Solaris, DEBAIN, HP-UX, Windows.

Scripting: Shell Scripting, Groovy, Python, Ruby, Perl and Power Shell.

Version Control Tools: GIT, GITHUB, TFS, Subversion (SVN), and Bitbucket.

Build Tools: Maven, JFrog, Nexus, and Ant.

Containerization Tools: AWS ECS, Docker, Kubernetes, Mesos.

Application Servers: WebSphere Application Server, Apache Tomcat, WebLogic, Nginx.

Automation & Configuration Tools: Chef, Puppet, Ansible, Jenkins, Bamboo.

Orchestration Tools: Kubernetes, Docker swarm.

Networking Protocols: TCP/IP, DNS, DHCP, NAT, WAN, LAN, FTP/TFTP, SMTP, LDAP.

Monitoring Tools: AWS Cloud Watch, Splunk, and ELK.

Bug Tracking Tools: JIRA, Rally.

PROFESSIONAL EXPERIENCE:

Confidential, Dallas, TX.

AWS Cloud/DevOps Engineer

Responsibilities:

  • Responsible for maintenance of Continuous Integration and Continuous Deployment pipeline for developing an application environment and to manage AWS resources in cloud.
  • Designed, configured and deployed Amazon Web Services (AWS) for a multitude of applications using the AWS stack ( EC2, Route53, S3, RDS, Lambda, CloudWatch, EFS, S3 Glacier, Resource Access Manager, IAM ), focusing on high-availability, fault tolerance, and auto-scaling.
  • Managed and maintained highly available EC2 Instances using Terraform and wrote plugins that supports new functionalities in Terraform.
  • Created and managed S3 buckets for storage and used Glaciers to Archive data.
  • Successfully configured AWS IAM policies for users, using Multi-Factor Authentication service for login authentication and used Transport Layer Security Protocol to protect data at transit.
  • Created Lambda function to monitor the log files which will trigger the Lambda code when there are changes in log files.
  • Maintained edge location to cache data with Amazon CDN (Content Delivery Network) using Cloud Front to deliver data with less latency.
  • Worked on IPv4, IPv6 addressing, fixed length & variable length & subnet masking (VLSM), ARP, RARP, PING concepts, OSI and TCP/IP models.
  • Worked in branching , tagging and maintaining the version across the environments using SCM tools like GIT on Linux, Mac and windows platforms.
  • Worked on Kubernetes for creating new projects and services for load balancing, managing Docker containers with multiple namespace version and adding service to routes by accessing from outside, creating pods through new application and controlling, scaling and troubleshooting pods through SSH.
  • Implemented a production ready, load balanced, highly available, fault tolerant, auto scaling Kubernetes infrastructure and microservice Container Orchestration.
  • Deployed and maintained multi-container applications through Docker, orchestrated containerized application using Docker-compose and Kubernetes.
  • Wrote Ansible playbooks with Python SSH as wrapper to manage configurations of AWS nodes. Used Ansible and Ansible Tower as configuration management tool to automate repetitive tasks, quickly deploying critical applications.
  • Installed and configured Jenkins for Automating Builds and Deployments through integration of Git into Jenkins to automate the code check-out thus providing an automation solution.
  • Enabled continuous delivery through Deployment into several environments of Development, Test and Production using Maven and SonarQube.
  • Created Maven Pom.xml to automate the build process for the new projects and integrated them with Nexus .
  • Created tickets for bug stories and feature stories in JIRA with co-ordination of QA/BA team respectively and issued it to developers to fix bugs and include necessary feature add.
  • Implemented Blue/Green pattern deployment methodologies and roll backs with zero downtime to deploy process in Tomcat using Ansible YAML scripts.
  • Deployed, maintained and administrated QA and production application servers, including Apache , Nginx and Tomcat . Monitored applications using Splunk .
  • Installed Kafka manager for consumer logs and for monitoring Kafka metrics also this has been used for adding topics, partitions etc.
  • Successfully generated consumer group lags from Kafka using their API.
  • Successfully did setup a no authentication Kafka listener in parallel with Kerberos (SASL) listener. In addition, I tested non-authenticated user (Anonymous user) in parallel with Kerberos user.
  • Managed the Maven Repository using Nexus tool and used the same to share the snapshots and releases of internal projects.
  • Worked on JIRA Customization with workflow schemes, workflows, permissions, User/Group access controls, notifications, screens, fields, issue types, various other scheme settings, post functions/ validators with workflow transactions, custom configurations with add-ons/plug-ins.
  • Developed DevOps scripts in Python/BASH to automate the collection and analysis of MySQL.
  • 3Participated in the on-call rotation, monitoring and troubleshooting day to day operations on AWS. Co-ordinated with the Offshore and Onshore teams for Production Release.
  • Resolved system issues and inconsistencies in coordination with quality assurance and engineering teams.

Environment: Git, Ansible, Docker, Kubernetes, Jenkins, Maven, Nexus, Terraform, Python, Bash, Apache Tomcat, MySQL, JIRA, AWS Cloud, Splunk, Kafka, AWS (EC2, ECS, S3, EFS, IAM, Security groups, RDS, Lambda, S3 Glacier, Resource Access Manager).

Confidential, Boston, MA.

Azure DevOps Engineer

Responsibilities:

  • Created and maintained containerized micro services and configurated private container registry on Microsoft Azure for Hosting Images and using Windows active Directory.
  • Developed automation system using PowerShell and JSON templates to remediate the Azure services.
  • Configured VMs availability sets using Azure portal to provide resiliency for IaC based solution and scalable sets using Azure Resource Manager to manage network traffic.
  • Developed automated scripts using .NET framework in Visual Studio VSTS.
  • Managed Azure Security groups and attached them to VM’s and Subnets using Azure Portal and PowerShell scripts.
  • Designed the Azure Data Factory Pipelines to move the data from On-Premise SQL Database servers to Azure SQL Database servers using the Azure Data Factory Copy tool and Self-Hosted Runtimes.
  • Migrated the Micro Service Based applications from Virtual Machines to Docker containers and managed the clustered containers using Kubernetes.
  • Developed the Pipelines in Jenkins to automate the .NET and java builds and to update DynamoDB during the releases.
  • Worked in advocating, maintaining and monitoring of Active Directory (AD) services infrastructure and Azure Active Directory (AAD) infrastructure, incorporated with periodic auditing, troubleshooting and performance.
  • Established Azure Virtual Network (VNETs), storage containers and load balancers and Created Azure wed application projects, updated and deployed ASP.NET web apps, web jobs using visual studio, TFS and Azure Resource Manager.
  • Worked on creating the Kubernetes Pods , Services, ConfigMaps , Deployments and Rollouts by writing the yaml 's and creating the resources using kubectl.
  • Evaluated testing of Chef Recipes - Concept of Test-Driven Development for Infrastructure as a Code. Implemented Chef Cookbooks for OS component configuration to keep AWS server's template minimal.
  • Administered databases using RDS and DynamoDB in AWS and executed the DML and DDL scripts.
  • Worked with layout of project workflow/pipelines using Jenkins as CI tool, performed cleanup of file system using Shell scripting and configured various Cron jobs.
  • Branching, tagging, Release activities and resolved conflicts using version control tool like TFS.
  • Performed Continuous Integration by merging code into a central repository like Bitbucket and used CI server Jenkins to build and validate code with a series of automated tests.
  • Worked on Jenkins to implement Continuous Integration and deployment into Web Logic Application Server.
  • Created user stories and resolved user tickets using Rally.
  • Dealt with a Web-app, Key vault , SQL Server DB, Storage Account, Redis Cache, Automation Account , Scheduler and Notification Hub.
  • Used Nagios as a monitoring tool to identify and resolve infrastructure problems before they affect critical processes and worked on Nagios Event handlers in case of an automatic restart of failed applications and services.
  • Supervised and worked with a team of DevOps engineer for infrastructure support on Azure, by using various automaton scripts that enable management of the Azure environment.
  • Worked on JFrog repository management, created the maven repos and local repos to store custom artifacts built from Jenkins and VSTS.
  • Developed Terraform scripts to build, change and version infrastructure as code using Azure as provider and launch multi-tiered stack to be provisioned and configured with Terraform scripts.
  • Supervised and worked with a team of DevOps engineer for infrastructure support on Azure, by using various automaton scripts that enable management of the Azure environment.

Environment: Microsoft Azure (Including ASP, VNETs Web & Mobile, Blobs, Resource groups, Key Vault, Azure SQL, CouchDB, RabbitMQ), Bitbucket, Chef, Docker, Kubernetes, Jenkins, Maven, JFrog, Terraform, .Net, Ruby, Oracle Web Logic, Rally, Nagios, DynamoDB, PowerShell.

Confidential, Indianapolis, IN.

DevOps Engineer

Responsibilities:

  • Created continuous integration/deployment with Application Release Automation by integrating and improving client's existing infrastructure and build pipelines, largely aiming for autonomous automation when possible.
  • Worked on Multiple AWS instances, set the security groups, Elastic Load Balancer and AMI s, Auto scaling to design cost effective, fault tolerant and highly available systems.
  • Worked extensively with AWS services like EC2, S3, VPC, ELB, Autoscaling Groups, IAM, CND, Cloud Trail, CloudWatch, NAT and RDS .
  • Administered databases using RDS and DynamoDB in AWS and executed the DML and DDL scripts.
  • Used JIRA as defect tracking system and configure various workflows, customizations and plugins for JIRA bug/issue tracker, integrated Jenkins with JIRA, GitHub.
  • Performed JIRA administration , setting up new projects, creating new workflows, adding users to roles.
  • Worked with layout of project workflow/pipelines using Jenkins as CI tool, performed cleanup of file system using Shell scripting and configured various Cron jobs.
  • Created the branches in Git to perform the simultaneous development process to support quarterly release.
  • Developed and maintained Cloud Formation JSON Templates and automated the cloud deployments using Chef, Python.
  • Prepared projects, dashboards, reports and questions for all JIRA related services and generated scripts for effective integration of JIRA applications with other tools.
  • Involved in setting up builds using Chef as a configuration management tool and managed the configurations of servers and Installed Chef Server on the workstation and bootstrapped the nodes using Knife and involved in writing Chef Cookbooks and recipes to automate the deployment process.
  • Created tickets for bug stories and feature stories in JIRA with co-ordination of QA/BA team respectively and issued it to developers to fix bugs and include necessary feature add.
  • Installed Nexus repository tool to manage artifacts/dependencies jars. Actively worked with DEV team and SQA team for product release.
  • Generated Ant , Bash scripts for build activities in QA, Staging environments.
  • Worked with Ant and Maven build tools and implementing it with AWS services.
  • Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.
  • Installed, configured& administered Bamboo on Linux machines along with adding/updating plugins like GIT, ANT, Sonar, Check style, Build Pipeline etc.
  • Implemented a continuous Delivery Pipeline with Bamboo and GitHub and worked in designing and implementing continuous integration system using Bamboo by creating Python and Perl scripts.
  • Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Remote State.
  • Used Bamboo, Build forge for Continuous Integration and deployment into Tomcat Application Server.
  • Developed installer scripts using Python , Groovy and Linux for various products to be hosted on Application servers.
  • Wrote Groovy script to call the function from the pipeline by writing pipeline in the job.

Environment: AWS (EC2, VPC, Subnet, ELB, NAT, CND, Beanstalk, CloudTrail, S3, RDS, Cloud watch, DynamoDB), Jira, chef, Ant, terraform, Tomcat, Git, Groovy Script, Nexus, Bamboo.

Confidential

Build and Release Engineer

Responsibilities:

  • Worked with Java build/automaton tools such as ANT and Jenkins. Worked in conversion of the source code from the SVN to GIT. Worked closely with other Configuration Management teams, which was migrating from SVN to GIT.
  • Used Shell/Python scripts to automate the deployment process.
  • Built utilities like ANT, Maven and Performed necessary day to day Subversion support on various projects. Enforced development policies using Subversion hooks and other metadata.
  • Installed/Configured/Managed Puppet Master/Agent. Wrote custom Modules and Manifests, downloaded pre-written modules from puppet-forge.
  • Provided reinforcement to developers in resolving problems. Submitted the build on time and following it up the testing team on posted builds until the specified release goes live.
  • Installed, configured and managed CI/CD tool Jenkins to automate various test cases like rally.
  • Automated deployments to QA and Staging servers with one-button-click using Jenkins and bash. This gave a lot of flexibility to QA folks to deploy any build on their own.
  • Hands-on establishment of Puppet manifest files to install JBOSS Web Servers. Deployed JAVA/J2EE applications on to the JBOSS and configured it to the host websites.
  • Developed Puppet modules to automate deployment , configuration, and lifecycle management of key clusters.
  • Created Puppet Manifest files to install WebSphere and to manage configuration files for multiple applications. Deployed application packages on to the WebSphere Server by collaborating with software development teams and QA teams.
  • Supported and developed tools for integration, automated testing and release management.

Environment: J2EE, Ant, GIT, Jenkins, Python, Puppet, Subversion, Bash, Shell scripting, WebSphere.

Confidential

System Administrator

Responsibilities:

  • Performed system administration of UNIX servers by using Operating Systems of Solaris 2.7/8 Managing SUN Solaris, Compaq and Linux workstations and servers.
  • Created groups, added Users ID to a group as a primary or secondary group, removing Users ID from a group as well as adding users in Sudousers file.
  • Responsible for Installation, Configuration, Capacity Planning and Administration of SQL Server database servers cluster
  • Served as a subject matter expert for functionality within assigned applications and stayed current on new and upcoming enhancements within assigned applications.
  • Configured and maintained NIS, NFS, DHCP and DNS Servers on Solaris.
  • Utilized VMware to setup and configure RedHat Enterprise Linux Server, Virtual Machines used different scripting languages to build Kernel and format several unique packages on command-line interface terminal.
  • Developed a Mail Archiving/Extraction application utilizing Microsoft SQL Server with a web front end written in Perl and JavaScript.
  • Worked with Troubleshooting Linux networks resolve security related issues by using tools such as IP tables, firewall, TCP.
  • Expanded file system using Logical Volume Manager.
  • Designed a secure, highly scalable, Highly Available and cost-efficient data center network to support the micro services application running on a private cloud solution (OpenStack - Havana/Juno/Liberty releases).
  • Created Python scripts that backed up a Linux server to a Windows 2003 Server and administration menu.

Environment: Open stack, SQL server, RedHat Linux, Python, WAN/LAN, Apache Web Server, Shell, Logical Volume Manager, SUN Solaris.

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