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Devops/aws Engineer Resume

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Boston, MA

SUMMARY

  • Over 7+ years IT experience in DevOps, Continuous Integration, Continuous Deployment, Automation, Cloud Management, Build and Release Management and Linux/Unix administration.
  • Highly motivated and committed DevOps Engineer experienced in Automating, configuring and deploying instances on AWS, Microsoft Azure and Rackspace cloud environments and Data centers.
  • Designing and distribution of Data across all the nodes and Clusters on different availability zones in AWS Redshift and experience in automating the infrastructure using Terraform in AWS console.
  • Extensive proficiency in supporting Production Cloud environments OpenStack, AWS, Azure, and VMWare as well as traditional managed hosted environments.
  • Ability to build deployment, build scripts and automated solutions using scripting languages such as Bash, shell, PERL, Ruby and Python.
  • Hands on experience on source control tools like IBM Clear Case, Perforce, Tortoise SVN, CVS and GIT, BIT Bucket.
  • Extensive experience in .NET programming using Visual Studio.NET 2010/2012/2015 , ASP.NET, C#. NET, MVC, WebAPI, WCF, Entity Framework and ADO.NET
  • Experience in developing scripts using RESTful API models for the purposes of integrating workflows with AWS.
  • Hubs, Bridges, Routers, TCP and/or IP protocols, Addressing, Flow control.
  • Point team player on Openshift for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, troubleshooting pods through ssh and logs, modification ofBuildconfigs, templates,Image streams, etc. Worked in container based technologies likeDocker,KubernetesandOpenshift
  • Experience in building applications of various architecture styles like Micro - services architecture consisting of Restful web services and Docker container based deployments, Event driven architecture applications built using spring integration, RX java, Bacon JS, Apache kafka and SOA built using SOAP base JAX-WS web services and Mule ESB.
  • Experience in automated the process of launching and stopping/terminating EC2 instances on Amazon AWS with BOTO3 and Used Python fabric for AWS instance provisioning.
  • Experience in Dev Ops, Site Reliability Engineering, Cloud Operations, or similar role
  • Experience in the fields of DevOps, infrastructure engineering, systems engineering, or site reliability engineering
  • Experience in Devops, site reliability and/or infrastructure engineering in a quickly growing company using technologies such as Kafka, Spark, Ceph, and Gluster
  • Propose site reliability measures as a result of such experiments
  • Prior successful experience as a systems performance or site reliability engineer
  • Maintaining Continuous Integration, Continuous Delivery and Continuous Deployment in multiple environments like DEV, TEST, STAGE & PROD.
  • Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform.
  • Experience in aDevOps Environment on various technologies/applications like Azure, GCP, Puppet, CHEF, GIT, SVN, Jenkins, Docker, AWS, and ANT.
  • Design and Implementation of Firewall appliances (Barracuda WAF/NG) inAzureand configure the same for IDS/IPS and to establish VPN connections
  • Experienced in utilizingAzure Stack (Compute, Web &Mobile, Blobs, ADF, Resource Groups, Azure Data Lake, HDInsight Clusters, Azure Data Factory(ADF), Azure SQL, Cloud Services, and ARM) and services for configuring and deploying Azure Automation Scripts for multiple applications
  • Experience working on Docker Container, Docker Hub, Docker Swarm for creating Docker images and handling multiple images primarily for middleware installations and domain configurations.
  • Expertise in using the Docker for virtualization, Ship, Run and Deploy the application securely to fasten the Build/Release Engineering. Virtualized the servers using the Docker for test environments and dev-environment needs.
  • Experience using Kubernetes for container orchestration that runs Docker containerized applications in a cluster of EC2 instances in Linux Environment.
  • Wrote Vagrant Scripts to spin up servers on the Developer workstations and in AWS.
  • Proficient in scripting AWS AMIs deployment, bootstrapping and pre-baking AMIs with Packer.
  • Experience in branching, tagging and maintaining the version across the environments using SCM tools like GIT, Subversion (SVN), Bit Bucket on UNIX/LINUX and Windows environment.
  • Written Chef Cookbooks using Ruby for various DB configurations to modularize and optimize end product configuration.
  • Experience in working with GIT to store the code and integrated it to Ansible Tower to deploy the playbooks.
  • Wrote Ansible Playbooks with SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Shell.
  • Installed and configured an automated tool Puppet that included the installation and configuration of the Puppet master, agent nodes and an admin control workstation.

TECHNICAL SKILLS

Cloud Infrastructure: AWS, OpenStack, MS Azure, Rackspace

Configuration management Tools: Puppet, Chef, Vagrant, Docker, Ansible and Opswork

Continuous Integration Tools: Jenkins, Bamboo, Fisheye, Hudson, Build Master, Travis CI, Kubernetes

Build Tools: ANT, MAVEN, Gradle, Build Forge, CMAKE, MS Build

Versioning Tools: GIT, Clear Case, Perforce, CVS, Subversion

Bug Tracking Tools: JIRA, Rally, Nexus, Remedy

Scripting: Shell, Python, PL/SQL, Java AWT/Swing, C#, ASP.Net, XML, HTML, Groovy, Ruby and Perl.

Languages: C, C++, PHP, PL/SQL and Java/J2EE

Web Technologies: Java Script, Node.Js, Servlets, JDBC, CSS

Virtualization Tools: VMware vSphere, Oracle Virtual box, VMware Workstation

Web/App server: Web Logic Application Server 9.x, 10.x, WebSphere6.x/7.x/8.x, Apache Tomcat5.x/7.x, AWS, JBOSS4.22.GA

Database: Dynamo DB, MongoDB, Oracle, SQL Server, MySQL

PROFESSIONAL EXPERIENCE

DevOps/AWS Engineer

Confidential, Boston, MA

Responsibilities:

  • Installed, Deployed Red Hat Enterprise Linux 6.x/7.x, CentOS and installation of packages and patches for Red Hat Linux Servers.
  • Experience in IaaS managing Amazon Web Services (AWS) infrastructure with automation and configuration management using Ansible.
  • Configured Ansible to manage AWS environments and automate the build process for core AMIs used by all application deployments including Auto scaling, and Cloud formation scripts.
  • Automated Weekly releases with Maven scripting for Compiling Java Code, Debugging and Placing Builds into Maven Repository.
  • Installed and Configured the Nexus repository manager for sharing the artifacts within the company.
  • Played a key role in automating the deployments on AWS using GitHub, Terraform, Puppet, Chef and Jenkins.
  • Used Bash and Python included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks.
  • Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
  • Performed integration of Code Quality Analysis with Testing tools like JUnit, Selenium and Nunit with Jenkins.
  • Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform).
  • Created a pipeline for continuous testing on test server with selenium scripts.
  • Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
  • Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes.
  • Developed microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.
  • Extensive experience in setting up the CI/CD pipelines using Jenkins, Maven, Nexus, GitHub, CHEF, Terraform and AWS.
  • Helped release the Docker/Selenium based New Relic browser testing solution.
  • Worked on deployment automation of all the micro services to pull image from the private Docker registry and deploy to Docker swarm cluster using Ansible.
  • Created Ansible Playbooks with Yaml as the Wrapper to Manage Configurations of AWS Nodes.
  • Experience in building new application and deployment through ANSIBLE and managing them in production environment.
  • Created a Python process hosted on Elastic Beanstalk to load the Redshift database daily from several sources.
  • Involved in designing and deploying a multitude of applications utilizing almost all the AWS stack including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, Lambda, Redshift, focusing on high-availability, fault tolerance and auto-scaling in AWS cloud formation.
  • Analysed frequently occurring system breaks and automated fixes in UNIX.
  • Worked on creation of Ansible manifest files to install tomcat instances and to manage configuration files for multiple applications.
  • Completely responsible for automated infrastructure provisioning (Windows and Linux) using Ansible Scripts.
  • Bit-bucket administration like providing access for branches andBit-bucketrepositories. Creating Bit-bucket repositories and give access rights to authorized developers and worker on antifactory. UsedBit-bucket for a collaborative source code management.
  • Experience in using Build Automation tools and Continuous Integration concepts by using tools like Jenkins, and Maven.
  • Working experience using Nessus vulnerability Scanner, FireEye IDS (HX, NX, EX, etc.), Microsoft/Advanced Threat Protection (AmoTA), Log Analytics, Wireshark, Solarwinds, Dumpsec, CSAM v3, BMC Remedy 8.1 Database, Citrix, ServiceNow and OsTicket,
  • Installed, configured, and administered Continuous Integration tools such as Jenkins for automated builds.
  • Responsible for automated installation of Ansible Enterprise 2.7 and configuring Ansible Master and Ansible Agents (both Windows and Linux Environments) in AWS VPC environment.
  • Experience in configuring Splunk and Integrated Splunk with Active directory and LDAP authentication.
  • Installation and configuration of Installation and configuration of Jira/Confluence
  • Responsible for automated deployment of Java application in Tomcat Server using Ansible scripts.
  • Responsible for automated identification of application server and database server using Ansible scripts.
  • Implemented multi-tier application provisioning in open stack cloud, integrating it with Ansible, migrating the application using Maven as build tool.
  • Worked with Docker for convenient environment setup for development and testing.
  • Installed Ansible Registry for local upload and download of Docker images and even from Docker hub.
  • Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.
  • Managed existing infrastructure and created new infrastructure using Ansible as Configuration Management tool.
  • Ran Ansible playbooks and created various roles for applications, then deployed the Applications/Services on hosts.
  • Used Ansible to manage systems configuration to facilitate interoperability between existing infrastructure and new infrastructure in alternate physical data centres or cloud (AWS).
  • Automated delivery pipeline using integration and infrastructure tools Bit-bucket, Jenkins and Ansible.

Environment: Bitbucket, Jenkins, Maven, Terraform, Tomcat, Nexus, Ansible, AWS, Yaml, Splunk, RHEL (6.x/7.x), CentOS, UNIX, Selenium, JIRA, Docker.

Confidential, New York

Site Reliability Engineer/DevOps Engineer

Responsibilities:

  • Worked as a Site Reliability Engineer (SRE) with a focus on improving application stability and supportability
  • Leading, managing and developing a distributed team of Site Reliability Engineers
  • Extensive Technical Breadth, with multiple Disciplines: site reliability engineering, Integration, Data, Security, Infrastructure etc
  • Effectively respond to Monitoring alerts, incident tickets, email requests coming in to Site Reliability Engineering
  • Responsible for developing UI pages using ASP.NETMVC, AngularJS, NodeJS, Electrode, HTML5, CSS3, JavaScript, jQuery, AJAX and JSON.
  • Developed custom functionality using excel services and the SharePoint REST API
  • Participating in 24x7 site reliability rotations and escalation workflows
  • Automate Site Reliability Engineering operations by developing software applications and API Integrations to connect disparate systems
  • Ensuring that work carried out by the Site Reliability team is executed in such a way as to comply with the company's internal compliance policy and directives
  • Worked as a DevOps Engineer for a team that involves three different development teams and multiple simultaneous software releases.
  • Implemented the Design and develop of Microsoft AZURE based application (Iaas and Paas) on private cloud and mentor team
  • Implemented web services for communicating by using SOAP hosted in the AWS.
  • ImplementedCI /CDpipeline usingAzure Data Factory (ADF)withARM templatesand integratedVSTSwithGITand deploy.Netapplications toJBossandTuxedoServers.
  • Experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application Gateways, Auto-Scaling, and Traffic Manager.
  • Created Business Logic Layer & Data Access Layers to implement the MVC architecture. Implementation of client-side validations using ASP.NET MVC Validation
  • Experience in assigning the azure services on locations specific to integrate with web-apps and key-vaults.
  • Configure, monitor and automate Amazon Web Services as well as involved in deploying the content cloud platform on Amazon Web Services using EC2, IAM, S3 and EBS.
  • Installation, Configuration and Management of RDBMS and NoSQL tools such as Dynamo DB.
  • Creating S3 buckets and maintained and utilized the policy management of S3 buckets and Glacier for storage and backup on AWS.
  • Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform). Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
  • Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.
  • Openshift virtualized PaaS provider - useful in automating the provisioning of commodity computing resources for cost and performance efficiency.
  • Hands on experience with packet sniffer, TCP DUMP and Wireshark for packet monitoring
  • Extensively worked with Scheduling, deploying, managing container replicas onto a node using Kubernetes and experienced in creating Kubernetes clusters work with Helm charts running on the same cluster resources.
  • Worked on RESTful APIs using Node.js and Spring MVC for communicating between applications or systems.
  • Involved heavily in setting up the CI/CD pipeline using Jenkins, Maven, Nexus, GitHub, CHEF, Terraform and AWS.
  • Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Node.js, Python, Scala, Ruby, and Docker on familiar servers such as Apache, and IIS.
  • Automated the cloud deployments using Chef, Python (boto & fabric) and AWS Cloud Formation Templates.
  • Experience in creating notifications and alarms for EC2 instances using Cloud Watch.
  • Experienced in CI technologies like Jenkins/Bamboo.
  • Good knowledge of AWS services like Glacier, ELB (Load Balancers), RDS, SNS, SWF, and IAM and hands on experience on Amazon Web Services (AWS) provision.
  • AWS EC2/VPC/S3/SQS/SNS based infrastructure automation through Terraform, Ansible, Python, Bash Scripts.
  • Experience in setting up TERRAFORM continuous build integration system.
  • Experience in Linux System Administration, Build Engineering.
  • Created branches and managed the source code for various applications in GIT.
  • Configured GIT with Jenkins and schedule jobs using POLL SCM option.
  • Responsible for installing Jenkins master and slave nodes and also configure Jenkins builds for continuous integration and delivery.
  • Involved in setting up builds using Chef as a configuration management tool and managed the configurations of more than 40 servers.
  • Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes.
  • Contributed to python library that deploys k8s clusters using helm charts, in-house tool(SSDT) for service deployments into the k8s clusters.
  • Developed Perl and shell scripts for automation of the build and release process, developed Custom Scripts to monitor repositories, Server storage.
  • Managed Docker orchestration and Docker containerization using Kubernetes.
  • Created an automated backup procedure for all F5 load balancer appliances like 7050, 5200V and 4200V.
  • Involved in Scheduling jobs through Jenkins.
  • Developed and Implemented kubernetes manifests, helm charts for deployment of microservices into k8s clusters.
  • Chef/Ansible experience with workflow, infrastructure automation, cookbooks, installation, DK tools, test kitchen, troubleshooting, cookbook development and deployment, extending Ohai, knife plugins and Chef API.
  • Created Pre-commit hooks in Perl/shell/bash for authentication with JIRA-Pattern Id while committing codes in SVN, limiting file size code and file type and restricting development team to check-in while code commit.
  • Used Load ash library to make java scripting much modular and productive where it seems appropriate.
  • Implemented a Continuous Delivery pipeline with GitHub, Jenkins, Docker and AWS AMI’s, whenever a new GitHub branch gets started, automatically, Jenkins, our Continuous Integration server attempts to build a new Docker container from it, the Docker container has the AMI baked in and leverages Linux containers.
  • Wrote Python scripts for pushing data from Dynamo DB to MySQL Database.
  • Created and maintained the Python deployment scripts for WebSphere web application server

Environment: AWS, S3, EBS, Elastic Load balancer (ELB), Auto Scaling groups, VPC, IAM, Cloud Watch, Glacier, Dynamo DB, Opsworks, shell scripts, GIT, Docker, Kubernetes, Chef, Maven, Jenkins, Puppet, Scala, Centrify, Python, Apache Tomcat6.x/7.x, Windows and Linux environment, Openshift, VMware ESX/ESXi Server and Workstation.

Confidential, NYC

Sr. DevOps Engineer

Responsibilities:

  • Involved in deploying the content Cloud platform on AWS using EC2, S3 and EBS.
  • Setup and build AWS infrastructure in various resources VPC, EC2, S3, IAM, EBS, Security Group, Auto Scaling, RDS in Cloud Formation JSON templates.
  • Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
  • Installed, configured and managed the ELK (Elastic search, Log stash and Kibana) for Log management within EC2 / Elastic Load balancer for Elastic search.
  • Experience with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.
  • Implemented web services for communicating by using SOAP hosted in the AWS.
  • Worked on REST APIs in configuring the changes and to maintain Index points.
  • Deployed and designed pipelines through Azure data factory (ADF) and debugged the process for errors.
  • Deployed Active Directory domain controllers to Microsoft Azure using Azure VPN gateway.
  • Deployed the initial Azure components like AZURE Virtual Networks, Azure Application Gateway, Azure Storage and Affinity groups and configured AZURE Multi-Factor Authentication as a part of Azure AD Premium to securely authenticate users.
  • Experience with Virtualization and Open Source technologies like VMware, OpenStack, Cloud Stack, Microsoft Hyper-V.
  • Worked in container based technologies like Docker, Kubernetes and Openshift
  • Good experience in writing Helm Charts, Kubernetes yaml files for deployment of microservices into kubernetes clusters.
  • Configured AWS IAM and Security Group in Public and Private Subnets in VPC.
  • Involved in architecting and deploying of fault tolerant, highly available, cost effective and secure servers in AWS.
  • Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache, and IIS.
  • Automated the cloud deployments using Chef, Python (boto & fabric) and AWS Cloud Formation Templates.
  • Experience working on Docker hub, creating Docker images, and handling multiple images primarily for middleware installations and domain configuration.
  • Experienced in designing and implementing Cloud Automation and orchestration framework involving AWS APIs, OpenStack, VMWare, Chef, Puppet, Python, Ruby, Azure APIs and Workflow Engine.
  • Point team player on Openshift for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, troubleshooting pods through ssh and logs, modification of Buildconfigs, templates, Image streams, etc.
  • Prepared the REST and SOAP based service calls depending on the data passing to the web service.
  • Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP
  • Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
  • To achieve Continuous Delivery goal on high scalable environment, used Docker coupled with load-balancing tool Nginx.
  • Implemented RESTful APIs and developed various browser based applications using Google Web Toolkit(GWT)
  • Created the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system.
  • Worked with Version control tools Subversion/Git Branching, Merge Strategies, migrated projects from Subversion repositories to GitHub Enterprise repositories through Team Foundation server (TFS).
  • Experience in branching, tagging and maintaining the version control and source code management tools like GIT(GitHub/GitLab), SVN (Subversion) on Linux and Windows platforms.
  • Implemented new projects builds framework using Jenkins & maven as build framework tools.
  • Worked on configuring the Jenkins to use Meta Case Software to build Java code and to do the whole Continuous Integration process on the java code generated by Meta Case.
  • Managing the Openshift cluster that includes scaling up and down the AWS app nodes.
  • Used Maven as build tool on Java projects for the development of build artifacts on the source code.
  • Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation-using Jenkins along with Python and Shell scripts to automate routine jobs.
  • Developed automation framework using Jenkins, Nexus and Ansible for Application Deployments to the cloud environments.
  • Developed Perl and shell scripts for automation of the build and release process, developed Custom Scripts to monitor repositories, Server storage.
  • Deployed the Java applications into web application servers like Jboss.
  • Created Pre-commit hooks in Perl/shell/bash for authentication with JIRA-Pattern Id while committing codes in SVN, limiting file size code and file type and restricting development team to check-in while code commit.
  • Performed and deployed Builds for various Environments like QA, Integration, UAT and Productions Environments.
  • Worked on the cloud-based diagramming software called Gliffy for creating different types of design documents required for the Continuous Integration process.
  • Organized and Coordinated Product Releases, work closely with product development, QA, Support across global locations to ensure successful releases.
  • Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy.
  • Working with an agile development team to deliver an end to end continuous integration/continuous delivery product in an open source environment using Rundeck and Jenkins to get the job done.
  • 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 automatic restart of failed applications and services.

Environment: AWS, AWS lambda, S3, EBS, Redshift, IAM, Openshift, EC2, Elastic Load Balancer, AWS Auto Scaling, Terraform, Apache, Tomcat, Nagios, MySQL, PHP, Perforce, Kubernetes, Jenkins, Maven, Docker, Puppet, JBOSS 4.22.GA, JSON, Web Logic Application Server 9.x, 10.x, Chef, GIT, Oracle, Windows and Linux.

Confidential, Oaks, PA

DevOps Engineer

Responsibilities:

  • Implemented Continuous Integration and Deployment (CI/CD) solutions to target environments AWS.
  • Involved in designing and deploying multitude applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and Auto Scaling in AWS Cloud Formation.
  • Worked closely with JAVA developers on SVN code repository and build tools like Maven and helped developers to integrate the code with Jenkins
  • Design AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
  • Built YAML, JSON Script Templates for creating VPC, Subnets, Network Interface, EC2 Instances, Cloud Trail for API monitoring, Cloud watch of the resources, Cognito for access control to your web, RDS with PostgreSQL, S3 for cloud watch log storage with two different Availability Zones.
  • Worked on creating the Users, Groups, Hosts, Host groups, Items and Triggers to Splunk. Integrated the AWS Cloud watch to Splunk using a Lambda function to automatically create the triggers and generate the alerts for the monitoring metrics.
  • Worked on Ansible playbooks in creating Roles for Scalability and Reusability in Ansible, wrote playbooks for provisioning, orchestration, packages, services, configuration and deployment using Ansible.
  • Developed strategy to migrate Dev/Test/Production from an enterprise VMware infrastructure to the IaaS Amazon Web Services AWS Cloud environment including runbook processes and procedures.
  • Experienced with event-driven and scheduled AWS Lambda functions to trigger various AWS resources.
  • Experience with administering the web servers like Apache and Tomcat.
  • Experience on working with Docker containers infrastructure and Continuous Integration for building & deploying Docker containers and Excelled on creating AMI (Amazon Machine Images) that utilizes ELB (Elastic Load Balancer) and Auto Scaling.
  • Experience with change management tools like Service now, ITIL and experience with JIRA.
  • Creating Cloud Watch Dashboards to view the performance metrics Like CPU Utilization, Memory Utilization and integrated Simple Notification Service with Cloud Watch to get notification of monitored performance metrics.
  • Created and Maintained Docker Images for web application infrastructure.

Environment: AWS, GIT, SVN, VM's, Maven, Surrounded SCM, GitHub, Bit Bucket, SonarQube, Nexus, Jira, Jenkins, Chef, Docker, Apache Tomcat, Jboss, Junit, Nginx, Linux, Bash, XML, Shell, Python, Ruby, Networking, MYSQL, Dynamo DB, Amazon Redshift Database.

Confidential

Build/Release Engineer

Responsibilities:

  • Responsible for versioning the source code, releasing binary files, creating and applying labels on source files and release files.
  • Worked on the configuration management tool Puppet for deploying the codes between different environments.
  • Installed/Configured/Managed Puppet Master/Agent. Wrote custom Modules and Manifests, downloaded pre-written modules from Puppet-forge. Up gradation or Migration of Puppet Community.
  • Built Puppet manifests and bootstrap scripts to allow us to bootstrap instances to various roles without having to maintain AMIs.
  • Updating the SVN log properties for revisions. Setting up the SVN sync servers, changed rev properties for SVN sync.
  • Automated the regular tasks in Subversion and Streamlining the process of access to SVN.
  • Managed SVN repositories for branching and merging the code as per the schedule.
  • Performed all necessary day-to-day Subversion support for different projects.
  • Responsible for design and maintenance of the Subversion Repositories, views, and the access control strategies.
  • Configured Jenkins with SVN for appropriate release builds. Scheduled automated nightly builds using Subversion.
  • Worked with the development team to generate deployment profiles (jar, war, ear) using Ant Scripts and Jenkins.
  • Designed and implemented fully automated server build with Jenkins, chef.

Environment: Linux, SVN, ANT, MAVEN, Jenkins, Bamboo, shell, Jboss, Tomcat, Puppet, Chef, WebSphere, TeamCity.DB2, Teradata, RDBMS, DevTest, GCC Collection, GDB debugger and IBM WebSphere.

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