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Sr Devops Consultant Resume

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Arlington, VA

SUMMARY

  • Certified Cloud Engineer as a Cloud enthusiastic IT Professional with referable expertise in in product development as well as software services with expertise comprising of System Administration, Configuration Management, Continuous Integration (CI), Continuous Deployment, Release Management and Cloud Implementations.
  • Expertise in DevOps/ Agile operations process and tools (Code review, unit test automation, Build & Release automation, Service, Incident and Change Management).
  • Experienced in architecting and deploying fault - tolerant, cost-effective, highly available, and secure servers in AWS and Azure clouds and Hands-on experience in building up stacks/resources in GCP.
  • Strong technical knowledge on Configuration Management, Continuous Integration, Continuous Deployment, and Build/ Release/ Change Management.
  • Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure and Automation. It includes Amazon Web Services (AWS), bamboo, Ansible, puppet, SVN, GitHub, Nexus, Tomcat and Linux.
  • Experience in database technology such as Oracle, SQL, PLSQL, MySQL, PostgreSQL, and NoSQL databases such as Apache Cassandra, Mongo DB.
  • Configured cloud managed Kubernetes on all three platforms, GKE on GCP, AKS on Azure, and EKS on AWS
  • Migrated workloads into multi tenancy cloud including AWS/Azure/GCP.
  • Experienced with AWS instances spanning across development, test, staging, and production environments and performed Cloud Automation through open-Source DevOps tools.
  • Experienced in creating secured and encrypted RDS Clusters on AWS for Aurora PostgreSQL, PostgreSQL, MYSQL
  • Involved in the migration of applications to AWS and Azure clouds from on-premises servers.
  • Experience with Application Deployment Automation Tools like Ansible, Chef and Puppet.
  • Built and Deployed applications using various CI/CD tools like Azure DevOps, Code Pipelines, Jenkins, GitLab, CircleCI.
  • Experienced in configuring and deploying virtual machines on Google Cloud Platform (GCP) environments and Data centers, also have pretty good hands-on experience with Compute, Kubernetes Engine, Stack driver Monitoring, Elastic Search, and managing security groups.
  • Using Google Cloud Platform public cloud technologies, experienced and implement state-of-the-art, scalable, high-performance solutions (i.e., AI/ML, IoT, advanced analytics, open source, enterprise collaboration, microservices, serverless)
  • Experienced in Design, build, and lead the development of cloud native applications using the Google Cloud Platform services, event streaming technologies, and various open-source frameworks.
  • Worked with Big Data on GCP -BigQuery, Pub/Sub, Dataproc, Dataflow.
  • Hands on with GCP services in Databases, Containers, Compute, Store, etc., with comfort in GCP serverless technologies.
  • Experienced with Compute Engine, App Engine, Cloud SQL, Kubernetes Engine, and Cloud Storage on Google Cloud Platform.
  • Experience in Configuration Management Support and Maintenance under Unix/Linux Platforms (REDHAT and CENTOS).
  • In-depth knowledge in AWS cloud services like EC2, S3, RDS, VPC, Cloud Front, Route53, Cloud Watch, OpsWorks, IAM, SQS, SNS and SES.
  • Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure Automation, it includes Amazon Web Services (AWS), Ant, Maven, Jenkins, Chef, SVN, and GitHub.
  • Experience using Turbot to single sign-on into AWS Console, Azure Portal, Google Cloud Console, and others to manage resources and develop applications.
  • Experience in migrating objects as part of Release Management from lower tenants to production in Workday HCM cloud platform.
  • Experience integrating SAP and .Net systems using SAP .Net connector 3.0 and Visual Studio 2010.
  • Experience using Tomcat, JBOSS, WebLogic and Web Sphere 5.1/6.0 Application Server on Solaris and Linux boxes.
  • Experience using Docker to virtualize the servers for development and test environments with Docker containers.
  • Experience writing Ruby, Python, Confidential (Bash), Perl and Batch/Power Confidential scripts to automate the deployments.
  • Deployed and configured Chef Server and Chef Solo including bootstrapping of chef client nodes for provisioning. Created roles, cookbooks, recipes, and data bags for server configuration, deployment, and app stack build outs.
  • Extensive experience in deployment of Java/J2EE applications on JBoss, WebLogic and WebSphere application servers.
  • Proven ability to scale and administer the Continuous integration systems on multiple platforms using Jenkins.
  • Expertise in build tools like MAVEN and ANT for building J2EE/Java application artifacts and deploying it on multiple environments such as DEV, QA, and PROD.
  • Experience working with AWS services like EC2, RedShift, Lambda, Glue, VPC, IAM, ELB, Dynamo DB, S3, RDS, CloudFormation, CloudWatch, Secrets Manager, SQS, SNS and FSx.
  • End to End solution for hosting the web application on AWS cloud with integration to S3 buckets.

TECHNICAL SKILLS

SDLC: Agile, Scrum, Waterfall

Version Tools: SVN, GIT, Azure Git, Bitbucket, AWS Code Commit, GitHub, GitLab

CI-CD Tools: Jenkins, Bamboo, Hudson, UDeploy, Octopus Deploy, TeamCity, TFS, CircleCI, GoCD, Gradle

Web technologies: HTML, CSS, XML, JavaScript, JDBC, Servlets, JSP, JQuery, PHP, Json, Bootstrap, SQL, Angular JS, React JS.

Configuration Management Tools: Puppet, Chef, Ansible, OpsWork, Salt Stack.

Ticketing & Tracking Tools: Jira, Azure Boards (ADO), GitLab, Kanboard, Github issues.

Languages: C, C++, C#, Python, Java, Java Script, HTML, CSS.

Scripting: Bash Scripting, Python, Ruby, Perl, NodeJS, ASP. Net.

Cloud Technologies: Amazon Web Services (AWS), Open stack, Docker, Azure, GCP, IBM Cloud (Bluemix), Alibaba Cloud, Oracle Cloud, Cloud Factory (PCF)

Virtualization: VMware, Vagrant, Docker, Elastic Container Service, Kubernetes

Deployment & Server Monitoring Tools: CloudWatch, Datadog, Zabbix, Splunk, SumoLogic, Sematext Monitoring, Splunk, ELK Stack, Prometheus and GrafanaSolarWinds Server & Application Manager, Dynatrace, New Relic, ManageEngine OpManager, AppDynamics, Sensu Go,Nagios XI

Networking/ Protocols: DNS, Telnet, LDAP, TCP/IP, FTP, HTTP, HTTPS, SSH, SFTP, SCP, SSL, ARP, DHCP, POP3

App/Web Servers: Apache Tomcat 7/8/9.x/10.x, JBoss 7.x, IBM WebSphere, Oracle WebLogic, Apache Web Server, Ngnix

PROFESSIONAL EXPERIENCE

Confidential, Arlington, VA

Sr DevOps Consultant

Responsibilities:

  • Worked on creating Azure Virtual Network (VNET), storage containers and load balancers, and updated and deployed C# ASP.NET web apps written in Visual Studio IDE, using Azure DevOps Services, Azure Resource Manager (ARM) and various services offered by Azure and other public cloud AWS.
  • Designed, planned, and implemented existing premise applications to Azure Cloud using Azure Resource Manager (ARM), configured, and deployed Azure automation scripts utilizing Azure Stack Services and utilities, mostly focusing on automation of the processes.
  • Configured and executed Storage Blobs and Azure Files created Storage accounts, set the Content Delivery Network (CDN), custom domain, and managed access and storage access key.
  • Worked on Windows Azure Services PaaS, IaaS, and storages Blob (Page and Block), SQL in Azure.
  • Created Build and Release CI/CD using Azure Pipeline on Azure DevOps Server environments by providing their dependencies and tasks, to automate the build, managed the test cases, and tracked the work items by integrating Jira with the Azure Pipelines while building and testing the applications.
  • Used Azure Kubernetes Service (AKS) to deploy the Kubernetes cluster in Azure and created an AKS cluster in the Azure portal, with the Azure CLI and used template-driven deployment options such as Azure Resource Manager (ARM) templates and Terraform.
  • Created Azure Container Registry to securely store the Docker images and deployed Angular.js and C# based applications to the Azure Kubernetes Service cluster (AKS) using kubectl command.
  • Modified the application config files using JSON variables and substitute the config file secrets with Azure Key Vault secrets within the Azure DevOps release pipeline.
  • Automated cloud-native applications in Azure using Azure Functions and AKS.
  • Worked with Server infrastructure development on AWS Cloud, and extensively used Virtual Private Cloud (VPC), CloudFormation, CloudFront, EC2, RDS, S3, Route53, SNS, SQS, and Cloud Trail.
  • Involved in creating, configuring AWS VPC services, installed EC2 instances for the new development team, and used AWS Route 53 to maintain the traffic and to create the DNS name.
  • Written Ansible Playbooks to direct Ansible to configure our environment and used a customized suite of Ansible Modules to run directly on remote Machines also used Ansible to define our infrastructure and applied the applications playbook letting Azure scale the environment as needed automatically.
  • Worked with integratingAnsiblePlaybooks on toAnsibleTower and creating job templates and launchingAnsible jobs and involved in buildingAnsibleinventory, managingAnsibleconfiguration files and running ad-hoc commands and arbitrary commands against the managed hosts.
  • Developed and utilized Helm to manage the life cycle of Kubernetes applications packages called charts and created reproducible builds of Kubernetes application mostly on the Linux nodes.
  • Developed PowerShell script to fetch necessary information from webpages according to the requirement and to automate routine tasks when applicable.
  • Managed AWS cost-cutting budget by writing the Ansible playbook for auto start/stop of AWS resources at a time of the day by triggering it from Jenkins(CI/CD)pipeline.
  • Migrated to Amazon Elastic Kubernetes Service (EKS) for Kubernetes to automate the version upgrades and easy patching and used AWS Fargate to run EKS clusters and follow sequential Batch Processing.
  • Worked with PowerShell, Azure PowerShell in developing and maintaining PowerShell Runbooks.
  • Worked on maintaining the OpenStack Network function Virtualization Infrastructure (NFVI).
  • Explained Application users (Clients) to understand the application version changes with Blue Green deployments and interacted with all levels of Azure service users on using DevOps best practices to mitigate rollout time of applications and data to all environments.
  • Worked with the analytics team on building New Relic agents to be installed on servers and managed those using JSON files to do 24/7 monitoring, health checks, and informed in case of emergencies and even monitored large scale applications using New Relic and Grafana.

Environment: Linux, RHEL, AWS, PCF, Confidential Scripting, Jira, Bamboo, GIT, Splunk, Web services, REST APIs, Apache-Tomcat, JBoss, Ansible, Ubuntu, Azure, WebLogic, SVN, Maven, ANT, IIS, LINUX, XML, PowerShell, Confidential Scripts, Python, Jenkins, Apache Tomcat, AWS, GIT, Puppet, Kibana, Apache, Chef, Puppet, Ansible, Docker, JAVA, ElasticSearch Logstash, Kibana, Splunk, concourse, Fastlane, HockeyApp, Circle CI, Groovy.

Confidential, Frisco, TX

DevOps/ Automation Engineer

Responsibilities:

  • As Google Cloud Engineer, I have involved in building and development cloud native applications using Google Cloud Platform (GCP) Services with open-source frameworks.
  • Experience on hosting an application on GCP using Compute Engine, App Engine, Cloud SQL, Kubernetes (AKS), Engine, Cloud Storage.
  • Automating the build and configuration of IaaS based solutions in Google Cloud Platform (GCP).
  • Hands on experience in integrations, tools, sample code, and client/server-side libraries as part of the Console Platform (i.e., Pantheon) ecosystem.
  • Assisted developers in learning key concepts of the Console Platform ecosystem.
  • Manage and monitored the data pipelines deployed on GCP.
  • Maintained build pipelines and performing promotions through change management.
  • Setup Continuous Integration and Continuous Delivery pipelines inAzureDevOpsusing Pipeline and Release factors.
  • Implemented AzureDevOps Shared Library to create Azure Infrastructure from Azure Repos containingTerraform code and created on-premises Active Directory authentication using automation withAnsibleplaybooks.
  • Experience onAnsiblePlaybooks, modules, roles, and used them in Cloud environments and experience withAnsibleTower to manage multiple nodes and manage inventory for different environments.
  • UsedAnsibleGalaxy to pull the reusable modules forAnsibleand performed the installation and configuration of middleware. IntegratedAnsiblewith AzureDevOps to provide automation, continuous integration through AzureDevOps and Implemented AzureDevOps Workflow and Plugins for repeatable deployments of multi-tier applications, and services to Docker.
  • Supported the deployment of Spring Boot Application (Kafka event-based architecture) as microservices inOpenShiftContainer Platform with Health Checks and Metrics.
  • Worked on infrastructure with Docker containerization using orchestration tools and platform as a servicetoo such as Red HatOpenShiftand Kubernetes. AdministratedOpenShiftEnterprise v2 and v3 for cloud operational services.
  • Setup Docker tasks to automate container deployment through Azure DevOps and dealt with images in ECR and taking care of various Images essentially forOpenShiftestablishments.
  • Practiced using AWS Application Load Balancer and Network Load Balancer for distributing the application traffic across the pod services inOpenShift.
  • Expertise in Azure Role-based Access Control (RBAC) to separate duties within our team and grant minimumamount of access to users that they need to perform their jobs. Configured Shared Access Signature (SAS)tokens and Storage Access Policies in Azure Cloud Infrastructure by setting up Azure DevOps pipelines withAzure CLI task.
  • Created Azure DevOps Pipelines to build and publish Docker image to Azure Container Registry and integrated it with Azure Kubernetes Service (AKS) and set up Secrets store CSI driver provider to fetch secrets fromAzure Key Vault while deploying microservice applications.
  • Created Windows Virtual Machines in Microsoft Azure using Terraform module and setup Connect Monitor for monitoring the service installed in Virtual Machines.
  • Enabled communication between resources in multiple Virtual Networks by configuring VNet Peering and configured Network Security Groups for two tiers and three tier applications to filter network traffic using Terraform Modules.
  • Configured deployment methods for migrating from two dedicated data centers with dedicated serviced server to micro-services virtualized instances to run on AWS Managed Kubernetes (EKS), Elastric Container Service (ECS) and RDS (PostgreSQL) in Amazon Web Services.
  • Engaged to provideinfrastructureexpertise for high availability architecture and perform security audits againstAWSAccounts and re architectedAWSInfrastructureacross multiple accounts.
  • WrittenAWSCloudFormation templates and launched via Release Pipelines in Azure DevOps onto multiple regions in multipleAWSAccounts.
  • Written CloudFormation templates to create and run DMS tasks which copy data from various on-premises and cloud databases to AWS PostgreSQL Databases in RDS and configured Global Database using CLI.
  • Configured infrastructure to pull images from the ECR and run them on the ECS tasks that run on EC2 instances which are under Auto Scaling groups and connected to application Load Balancer.
  • Have written custom CloudFormation templates to create Step Functions, call the ECS tasks to pull the containers and run the tasks on Amazon Fargate. This process is majorly used by the Analytics team to run the performance-based testing, which also invokes the DMS tasks to copy the data to the desired RDS clusters.
  • Setting up scalability for application servers using command line interface for Setting up and administering DNS system inAWSusing Route53 Managing users and groups using the Amazon Identity and Access management (IAM).
  • Wrote Ansible Playbooks with PythonSSH as the Wrapper to Manage Configurations ofAWSNodes and Test Playbooks onAWSinstances usingPython. Experience with Ansible Tower to more easily manage enterprise Ansible deployments.
  • Created Simple Notification Services (SNS) and triggered it by Cloud Watch monitoring to send SMS or Email to desired recipients whenever an update or change is driven.
  • Developed CloudFormation templates inAWSto automate provision of full stack of servers based on VPC, Subnet, Security Groups, Load Balancers, policies for the S3 buckets and the IAM Role based polices, auto scaling and different requirements as per the applications architecture design and security and practiced implementing role-based services in applications to neglect the user-based approach.
  • Created method to allow customers to whitelist specific IP addresses using Nginx proxy to provide firmware downloads viaCloudFrontfrom our SaaS platform.
  • Deployed and configured Elastic search, Log stash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.
  • Exhibiting alerts on applications and system logs by configuring Splunk, along with installing, configuring Nagios for monitoring distinct metrics throughout system stress testing.
  • Analyze and process VPC Flow Logs, AWSCloudTrailevent logs, and DNS logs using Amazon Guard Duty.
  • Generate logs and store in CloudWatch Log Groups for various services in AWS and configure event rules to start and stop the services tin a timely manner.

Environment: Java, Micro services, GitHub, Chef, Ansible, Puppet, Jenkins, Bamboo, Tomcat, Apache, Python, Maven, Nexus, Linux, Docker, Vagrant, Kubernetes, AWS EC2, AWS SQS, AWS S3, AWS RDS, AWS Cloud Watch, SonarQube, WebLogic, Jboss, Apache, Team city, GitHub, JIRA, RPM, KANBAN, Rally, ServiceNow, Elastic Search, Log stash, Splunk, AWS RedShift, Oracle, DynamoDB, AWS-RDS, Hadoop, AWS ECR, MS BUILD, TFS, Concourse, Fastlane, HockeyApp, CircleCI, Groovy, Azure, Workday HCM, SQL Server, SSIS.

Confidential, Sioux Falls, SD

DevOps Cloud Consultant

Responsibilities:

  • Migrated workloads into multi-tenancy clouds including AWS/Azure/GCP.
  • Implemented architecture and eco system using Google Cloud Storage, DNS, Cloud Engine Persistent Disks, Storage Nearline, Compute Engine, Kubernetes, Interconnect, Dataflow, Pub/Sub, Big Query, Cloud Deployment Manager, and other services that were utilized by the applications.
  • Configured private endpoint for Azure Cosmos DB using Azure Private Link through automatic approval method, and secure data using Network Security Groups policies with ARM templates and Azure DevOps pipelines.
  • Moving applications locally hosted apps to cloud and hybrid cloud platforms on OpenStack, AWS, Azure, GCP and VMware Vcloud.
  • Setup an App Service Environment (ASE) with six Front Ends and four Workers behind Barracuda WAF configured high availability of apps by autoscaling rules on the resource pools. And configured Azure TrafficManager to load balance across Azure data centers and regions.
  • Involved in evaluating the performance of AWS EC2 Instances CPU, Memory Usage, Network Usages, and additional vital metrics using Cloud Watch.
  • Participated in the migration process of most of the existing applications that has war and jar artifacts which are on-premises to the AWS S3 using API Gateway.
  • Used AWS SnowMobile to transfer sensitive data to AWS Glacier from on-premises to securely store in cloud and used cloud infrastructure, also managed to transfer data from MYSQL to Amazon RDS for MYSQL.
  • Created Master and Read replica RDS database in AWS console and automated the database using lambda with python scripting and implemented cloud automation using AWS Cloud Formation templates.
  • Using AWS CLI to automate and create infrastructure stacks utilizing BOTO 3 / Python as well as native AWS tools.
  • Configured infrastructure to pull images from the ECR and run them on the ECS tasks that runs on EC2 instances which are under Auto Scaling groups and connected to application Load Balancer.
  • Have written custom CloudFormation templates to create Step Functions, call the ECS tasks to pull the containers and run the tasks on Amazon Fargate. This process is majorly used by the Analytics team to run the performance-based testing, which also invokes the DMS tasks to copy the data to the desired RDS clusters.
  • Worked on enabling API gateways by working on both AWS Cloud Formation template and API gateway extension to swagger that handles all API calls providing features like processing, monitoring, authorization, access control, and traffic management to various AWS services(Lambdafunctions) and maintained logs of all API calls using Amazon CloudWatch Log Groups.
  • Utilized AWS Beanstalk for deploying and scaling web applications and services developed with Python, Ruby, Java, PHP, Node.js, and Docker on familiar servers like Apache.
  • Virtualized the Virtual Servers using Docker for the development environments and test environment needs and configured the Docker containers using Kubernetes.
  • Created and automated the Jenkins pipeline using groovy scripts to deploy the applications and built upstream and downstream jobs in Jenkins’s pipeline to build and deploy into different environments.
  • Implemented and designed AWS Instances by Ansible roles to ensure the deployment of web applications.
  • Involved in writing the Ansible playbooks with Python SSH as a wrapper to manage configurations and the test playbooks on AWS Instances using Python.
  • Used Chef Bootstrap processes and worked on the chef server management console with proficient knowledge on all different components like chef server, nodes, and workstations.
  • Used JIRA as a defect tracking system and configured various workflows, customizations, and plugins for JIRA bug/issue tracker and integrated JIRA with Jenkins and GitHub.
  • Monitored the status of CPU (bytes transmitted per second, etc.) via Node Exporter and scraped with Prometheus, a new Open-Source Monitoring Solution.
  • Provided 24/7 on-call production supports.

Confidential

DevOps Engineer

Responsibilities:

  • Implemented AWS cloud computing platform, and its many dimensions of scalability - including but not limited to: VPC (Virtual Private Cloud), EC2, load-balancing with ELB, messaging with SQS (and scalable non-AWS alternatives), auto scaling architectures, using EBS under high I/O requirements, custom monitoring metrics/analysis/alarms via Cloud Watch, the AWS API, and different toolkits for instrumenting it (e.g., Boto).
  • Responsible for automation and orchestration of cloud services offerings on AWS.
  • Worked with product owners to understand desired application capabilities and testing scenarios.
  • Migrated servers to IAAS platform including AWS and OpenStack environment.
  • Installed the application on AWS EC2 AMI, Red hat, Ubuntu Instances.
  • Loading data from On-premises data warehouse to AWS's Cloud using different approaches like Sqoop, Spark and AWS Services
  • Identified the automation opportunities from the day-to-day operations.
  • Helped developers by automating the routine tasks.
  • Built scripts using ANT and MAVEN build tools in Jenkins to move from one environment to other environments.
  • Developed Ansible Plays to configure, deploy, and maintain software components of the existing infrastructure.
  • Implemented automation with Chef on AWS for application testing, deployment, and development.
  • Developed installer scripts using Ant, Python and UNIX for various products to host on Application Servers.
  • Installed and configured Splunk for log monitoring and forwarded system stats to Splunk indexer, created dashboards and alerts using this data.
  • Managed the configurations of the instances using Ops code Chef.
  • Written and modified various Cookbooks/Recipes for better management of the systems.
  • Administration of Web based Internet/Intranet Client/Server multi-tire distributed applications, Installing Patches & packages on Linux Servers
  • Designed and implemented Software configuration management (SCM) and change management (CM)
  • Used Team Foundation Server TFS and GIT as Version Control.
  • Maintained servers used to build product releases. Installed daily builds on QA machines and ran preliminary performance Smoke Tests.
  • Responsible for designing and deploying best SCM processes and procedures.
  • Developed and maintained integration and release processes.
  • Tracked all the changes in Jira tracking tool and provided metrics reporting for the project release activities.
  • Maintained and coordinated environment configuration, controls, code integrity, and code conflict resolution.
  • Involved in Research of the project application architecture to support/resolve build, compile, and test issues/problems.
  • Used Jenkins for Continuous Integration and deployment into Application servers.
  • Handed complete Build and Release process including code, documentation and supporting testing team along with the server
  • Worked with QA team to facilitate verification of releases. Running multiple builds at a time.
  • Manage Daily Builds, Weekly Builds, Nightly Builds and Builds on fortnighty basis.
  • Manage and administer Web logic 8 and 10.3 Environments.

Environment: AWS, EC2, S3, RDS, Docker, Kubernetes, Tomcat, Jenkins, Ansible, Terraform, Python, Groovy, Linux, Confidential, Splunk, Hubble, Verdad, Epic, GIT

Confidential

Build and Release Engineer

Responsibilities:

  • As part of the DevOps team, my role includes release management, Environment Management, deployments, Continuous integration, continuous deployment, Incident management, version management.
  • Providing a better workflow for Continuous Integration and Continuous Delivery
  • Built and Deployed Java/J2EE to a web application server in an Agile, continuous integration environment and automated the complete process and responsible for the Build and Release management.
  • Configured AWS Config for setting up CloudTrail and compliance check on AWS Resources like S3.
  • Experienced in creating Security groups, VPC with customized Subnets, Internet Gateways, and Routing tables for Stack setup as well as VPN Tunneling in AWS cloud environment.
  • Managed to set up EC2 instances with Nginx, Tomcat servers, and installed Docker in the AWS cloud.
  • Implemented Chef Recipes for Deployment on build on internal Data Centre Servers. Also re-used and modified the same Chef Recipes to create a Deployment directly into Amazon EC2 instances.
  • Configured Minions, Pods along with Docker engine in AWS EC2 instances.
  • Created customized AMI’s and installed EC2 stack using Cloud Formation and Terraform templates.
  • Implementing and maintaining a Continuous Delivery process using GitHub(hooks), Build tools like maven, Jenkins, and management tools like Chef, Puppet.
  • Used Jenkins, Code Deploy for CI/CD pipelines
  • Implemented Maven builds to automate .JAR and .WAR files and written builds using XML formatted files.
  • Worked with different Tools like Rally, Jira, Bugzilla, BitBucket and Remedy.
  • Used Maven as a build tool on Java projects for the development of build artifacts on the source code.
  • Written build and deployment scripts using MAVEN and ANT as build tools in Jenkins to move from one environment to other environments written in XML formats.
  • Developed Confidential scripts for automation of the build and release process and responsible for Building and Releasing packages for testing environments.
  • Also responsible for creating Docker containers using docker images to test the application and created custom images using Docker Files with different servers and different Operating Systems and maintained Docker Containers to package the application into a standardized unit for Software Development.
  • Written SQL Queries for generating different reports and for data mining.
  • Learned and worked with Ansible to manage the containers and the environments around the containers using the YAML files and experienced in deployment automation using multiple tools like Chef, Puppet, Jenkins, GIT, TFS, SonarQube, Maven and ANT.
  • Worked to improve the availability and timeliness of test environments and learned new concepts to develop automation in testing environments like Kubernetes, Ansible, Terraform, New Relic, and various cloud resources that are available in the market.
  • Hands-on experience in the design and development phase of a multi-module Java, Scala, spring and hibernate projects and ensured processes are deployed successfully to the production environment.

Confidential

JavaScript Developer

Responsibilities:

  • Used AngularJS, JavaScript, HTML, and CSS for developing Single Page Application and achieving two-way data binding between HTML and JavaScript objects.
  • Developed multiple user tools with core Java and DB2 using eclipse IDE.
  • Built ANT scripts for automated deployment and for the build operation of the entire applications.
  • Developed web pages using HTML5/CSS and JavaScript, Angular JS
  • Developed many JSP pages, used Dojo in JavaScript Library, jQuery UI for client-side validation.
  • Managed everything from either bootstrapping existing application or scaffolding out an AngularJS application using Yeoman AngularJS generator and used bower for managing front-end dependencies and NPM for backend dependencies.
  • Have used DOJO toolkit to construct Ajax requests and build dynamic web pages using JSP, HTML5 and JavaScript, Angular JS.
  • Wrote batch jobs and was involved in performance tuning of complex queries.
  • Monitored the error logs and fixed the problems.
  • Connected the application to a REST API using resources.
  • Written Angular Unit Tests and E2E Tests for Controllers, Directives, and Filters.
  • Written AngularJS Services to consume restful APIs and process JSON data for rendering in UI.
  • Written and configured a web server using node.js powered ExpressJS framework to building dynamic HTML pages using the handlebars/ejs template engine and persist application data using MongoDB and Mongoose ODM and built a CRUD API.
  • Helped fixed cross rendering issues using normalize, CSS resets, Respond.JS.
  • Used Visual Studio IDE to write the code and used Visual Studio Code to modify the web pages.

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