SUMMARY

• Sr. Cloud DevOps Engineer with 7+ years of IT Experience, extensive of DevOps, Build/Release, System Administration. 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 and DevOps processes.
• As System Administrator worked on Red Hat Enterprise Linux (RHEL), CentOS, Ubuntu, SUSE, and Windows environment.
• Experience in Designing, configuring, and managing public and private cloud infrastructures utilizing Amazon Web Services (AWS) like Elastic Container Service (Docker Containers), S3, Elastic Beanstalk, Cloud Front, Elastic File System, RDS, DynamoDB, Redshift, DMS, Kinesis, VPC, Direct Connect, Route53, Cloud Watch, Cloud Trail, Cloud Formation, IAM, EMR and Elastic Search.
• Experience with AWS Command Line (CLI), AWS SDK, current AWS product offering and services, best practices and troubleshooting techniques, and experience providing systems administration and issue resolution for AWS.
• Experienced in creating AWS lambda function handlers, that AWS Lambda can invoke when the service executes the Lambda function automatically and experienced in creating amazon cloud watch alarm events using Amazon Java SDK.
• Designed highly available, cost-effective, and fault-tolerant systems using multiple EC2instances, Auto-Scaling, Elastic Load Balancer (ELB) and AMIs and Glacier for QA and UAT environments as well as infrastructure servers for GIT and Chef.
• Experienced in using cloud migration tools like Snowball, direct connect for migrating data from on-premises data centers to AWS Cloud and Implemented Terraform modules for deployment of various applications across multiple cloud providers and managing infrastructure.
• Created templates for automating and deploying Relational and NoSQL databases (standalone and RDS), including Oracle, SQL Server, and MongoDB in AWS.
• Experience in Azure Cloud Services (PaaS & IaaS), Storage, Web Apps, Active Directory, Azure, Logic Apps, Data Factory, Service Bus, Traffic Manager, Azure Monitoring, Azure OMS, Key Vault, Cognitive Services (LUIS) and SQL Azure, Cloud Services, Resource Groups, ExpressRoute, Load Balancing, Application Gateways.
• Expertise in Azure Development worked on Azure web application, App services, Azure storage, Azure SQL Database, Azure Virtual Machines, Azure AD, Azure search, Azure DNS, Azure VPN Gateway, and Notification hub.
• Extensive knowledge on Azure Resource Manager (ARM) and migrating the on-premises resources to Azure using Azure Site Recovery (ASR) and Azure backups, creating virtual machines by specifying deployment parameters in Azure Resource Manager (ARM).
• Deploy software to Development, Quality Assurance, and Production environments using Octopus Deploy.
• Deploy builds from TFS to all environments with Octopus Deploy.
• Expertise in implementing a production ready, highly available, fault tolerant Kubernetes infrastructure and Worked on Scheduling, deploying, and managing container replicas on a node cluster using Kubernetes.
• Deployed Kubernetes Cluster on cloud/on-premises environments with master/minion architecture and wrote many YAML files to create many services like pods, deployments, auto scaling, load balancers, labels, health checks, Namespaces and Config Map.
• Experience in Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple names spaced versions using Helm charts.
• Experience in OpenShift platform in managing Docker Containers, Kubernetes Clusters, and Mesos and implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure and created Jenkins jobs to deploy applications to Kubernetes Cluster.
• Expertise in using Docker to containerize custom web applications and deploy them on Digital Ocean with Ubuntu instances through SWARM Cluster and to automate the application deployment in cloud using Vagrant.
• Expertise in integrating Docker container-based test infrastructure to Jenkins CI test flow and set up build environment integrating with GIT and Jira to trigger builds using Web-Hooks and Slave Machines which involved in POC on Docker and used Docker Registry, Docker-Compose, Links, Docker Bridge.
• Experience in Chef including configuring Chef-Repo and setting up multiple Chef Workstations and writing Chef cookbooks and Recipes to automate the deployment process using Spinnaker and integrated with Jenkins jobs for Continuous delivery (CD) framework.
• Experience in Installation, configuration, and management of RDBMS MySQL, DB2 and NoSQL tools PostgreSQL, Cassandra, and MongoDB.
• Experience using Ansible Tower dashboard, role base access control, access to Ansible for deployments and worked with Ansible Playbooks to automate various deployment tasks and working knowledge on Ansible Roles, Ansible inventory files and Ansible Galaxy.
• Experience in Writing Puppet manifests for deploying, configuring, install shield and managing collectd for metric collection and monitoring and constructed the Puppet modules for continuous deployment.
• Worked on Jenkins by installing, configuring, and maintaining for the purpose of continuous integration (CI) and for End-to-End automation for all build and deployments.
• Setup Continuous Integration for major releases in Jenkins. Created Pipeline in Jenkins by integrating Git and Maven Plugins. Created new build jobs in Jenkins admin console and configured global environmental variables.
• Experienced in keeping up and looking at log archives using monitoring tools like Nagios, Splunk, Prometheus, Grafana, Dynatrace, Datadog, AppDynamics, New Relic, and CloudWatch for Resource & Network Monitoring and ELK, EFK for Log Trace Monitoring
• Expertise in Virtualization technologies like VMware ESX/ESXI, CITRIX XenServer/OPENSTACK and involved in the maintenance of virtual servers.
• Experience in Linux/Unix System Administration, Network Administration and Application Support working on Red Hat Linux, SUSE Linux
• Excellent understanding of reference models like OSI Model protocol suite (IPv4, IPv6, all supported IEEE standard protocols), TCP/IP protocol suite (IP, ARP, TCP, UDP, SMTP, FTP, SSH).
• Experience in working with Application and Web servers like IIS, Tomcat, Apache, WebSphere, JBoss, WebLogic, Nginx, Open VPN, Sensu, log stash and in Design patterns such as Model View Controller (MVC), Strategy Pattern, Command Pattern, Factory Pattern, Inversion of Control and Singleton Pattern.
• Skilled with Python, Bash/Shell, Node.js, PowerShell, JSON, YAML, Groovy. Developed Shell and Python Scripts used to automate day to day administrative tasks and automation of the build and release process and sophisticated in setting up application servers like Tomcat, WebLogic across Linux platforms.
• Experienced in authoring pom.xml, build.xml files performing releases with the Maven, ANT release plugin, and managing artifacts in Sonatype NEXUS, JFrog Artifactory.
• Extensive experience in ticketing and tracking tools like JIRA, REMEDY, ClearQuest, Bugzilla for Production hotfixes and bugfixes.

TECHNICAL SKILLS

Cloud Platforms: AWS, Azure, OpenStack, GCP

Configuration Management Tools: Ansible, Chef, Puppet, Saltstack

CI /CD Tools: Jenkins, Bamboo

Build Tools: Maven, ANT

Containerization Tools: Docker, Docker Swarm, Kubernetes, Mesos, OpenShift, Aws ECS., Docker compose, Rancher

Version Control Tools: GIT, GITHUB, Bitbucket, SVN

Logging & Monitoring Tools: Nagios, Splunk, ELK, EFK, CloudWatch, Kafka, Azure Monitor, Prometheus, New Relic

Scripting Languages: Shell Scripting, Bash, PHP, Groovy, HTML, PERL, POWERSHELL, Python, JavaScript

Programming Languages: C, C++, Java/J2EE, .Net, Node.JS

Databases: My SQL, MS SQL, Oracle, Dynamo DB, Cassandra, MongoDB

Application/Web Servers: Web logic, Web sphere, Apache, Tomcat, Nginx, Oracle application server

Operating Systems: UNIX, Linux, Windows, Solaris, CentOS, UBUNTU and RHEL.

Virtualization Platforms: Oracle VirtualBox, VMware Workstation, Vagrant, VMware vSphere ESXi 5.x/4.X, ESX /3.x, Hyper-V

Bug Tracking Tools: JIRA, Bugzilla, Remedy, HP Quality Center, IBM Clear Quest, Mingle

Repositories: Artifactory, Nexus

Web Technologies: HTML, CSS, Java Script, jQuery, Bootstrap, XML, JSON, XSD, XSL, XPATH.

PROFESSIONAL EXPERIENCE

Confidential, Oklahoma City, OK

Sr. DevOps & Cloud Engineer

Responsibilities:

• Worked on setting up CI/CD pipeline (Continuous-Integration & Continuous-Deployment) using various tools (Azdo - Azure DevOps, Teamcity, Octopus).
• Automating build and Release pipeline from scratch and maintenance of existing builds (VSTS)and configurecontinuous deliveryto automate the deployments and managedAzure Active Directory.
• Implemented CI/CDpipelines withDocker,Jenkins(TFSPlugin installed),GitHubandAzure Container Service, whenever a newTFS/GitHub branchgets started,Jenkins, automatically attempts to build a newDocker containerfrom it.
• Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and Data centers and migrated to Azure usingAzure Site Recoveryand collected data from all Azure Resources using Log Analytics and analyzed the data to resolve issues.
• Configured Azure Multi-Factor Authentication (MFA) as a part of Azure AD Premium to securely authenticate users and worked on creating custom Azure templates for quick deployments and advancedPowerShellscripting.
• Worked onServerless services, created and configuredHTTPTriggers in theAzure Functionswith application insights formonitoringandperformingload testing on the applications using theVisual Studio Team Services(VSTS).
• Compare and synchronize database schemas, Install andupgrade packaged databasesremotely by using Redgate.
• Configured EC2 instances by writing Terraform templates, Chef cookbooks, recipes and pushed them on to Chef server.
• Wrote Lambda functions in Python for AWS Lambda and invoked Python scripts for data transformations and analytics on large data sets in EMR clusters and AWS Kinesis data streams.
• Automated the cloud deployments using Chef, Python and AWS Cloud Formation Templates and configured Chef to build up services and applications on the instances once they have been configured using Cloud Formation.
• Used Chef to deploy and configure Elastic Search, Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.
• Created Python scripts to fully automate AWS services which includes ELB, Cloud Front Distribution, EC2, Security Groups and S3. This script creates stacks, single servers and joins web servers to stacks. Expert knowledge in bash Shell scripting and automation of cronjobs.
• Designed, deployed, and operated OpenStack and SDN based IaaS, PaaS, and SaaS service platform network in multiple datacenters and deployed various versions of OpenStack like Icehouse, Kilo, Newton in Datacenter on multitrack with High Availability.
• Troubleshooted lifecycle services within the OpenStack including log files, message queues, database, Compute hardware, and network connectivity.
• Wrote Customized Deployment Process templates for deploying source bits to DEV/QA/PROD Environments using PowerShell, Microsoft Octopus.
• Enhanced existing automated Build/Deploy process and architect the next generation centralized deployment processes using Octopus.
• Automated and tested the Build and deployment of the CRM product on Smoke, DEV Environment using power shell and Octopus tool.
• Working withAnsible towerto manage Web Applications, Config Files, Data Base, Commands, User Mount Points, Packages and for runningplaybooksstream in real-time to see the status of every running job without any further reloads.
• DevelopedAnsible playbooks, inventories, and custom playbooks inYAML, 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.
• ManagedAzure Container Registryto store privateDocker images, which are deployed andAzure pipelinesto build, test, and deployments.Azure Monitorto collect metrics, logs, and configuredto track performance and maintain security, and usedSplunktool to collect metrics, queries.
• Worked on developingAPIsusingKubernetesto manage and specify the copies of the containers to run the actual servers in the cloud environment.
• ManagedKubernetescharts using Helm. Created reproducible builds of theKubernetesapplications, templatize Kubernetes manifests, provide a set of configuration parameters to customize the deployment and Managed releases ofHelm packages.
• Configured Jenkins pipeline for auto deployment through continuous integration (Jar build, AMI creation, Integration test, contract test, performance test, deploy in Test environment and then into Production).
• Built scripts using ANT and MAVEN build tools in Jenkins to move from one environment to other environments. Configured GIT with Jenkins and schedule jobs using POLL SCM option
• Managed Git repository, code merging, production deployments and analyzed and resolved conflicts related to merging of source code for Git.

Environment: s: Azure, AWS, Ansible, Kubernetes, Docker, Redgate, Chef, Octopus, ELK, Grafana, Yaml, PowerShell, Splunk, Shell scripting, Python, Bamboo, Git, Maven, SQL.

Confidential, Norman, OK

Sr. DevOps & Cloud Engineer

Responsibilities:

• Worked on Azure PaaS Solutions like Azure Web Apps, Web Roles, Worker Roles, SQL Azure and Azure Storage. configured and deployed Operations Management Suite (OMS) to monitor and track changes.
• Implemented various resources in Azure using Azure Portal, PowerShell on Azure Resource Manager deployment models. Experience deploying Infrastructure as Code applications using ARM Templates (JSON).
• Used Azure Terraform to deploy the infrastructure necessary to create development, test, and production environments.
• Created and maintained containerized micro services and configuring/maintaining private container registry on Microsoft Azure for Hosting Images and using Windows Active Directory.
• Design and Implementation of Azure Site Recovery in both Disaster Recovery Scenario and for migrating the workloads from On-Premises to Azure. Disaster Recover (DR) plan using Traffic Manager configuration
• Worked onAzure Databricksto use custom DNS and configurenetwork security group (NSG)rules to specify egress traffic restrictions.
• Created CI/CD Pipelinesin Azure DevOpsenvironments by providing their dependencies and tasks. Created END-END Automation with CI Procedures usingJenkins& automated Maven builds by integrating them.
• Configured and maintained AWS Lambda function to trigger when a Jenkins build is kicked off, which internally gets stored on AWS S3 bucket accessible for everyone. Created Route53 to route traffic between different regions.
• Used security groups, network ACLs, Internet Gateways, NAT instances and Route tables to ensure a secure zone for organizations inAWSpublic cloud.
• ConfiguredAWSVirtual Private Cloud (VPC) and Database Subnet Group for isolation of resources within the Amazon RDS Aurora DB cluster and created notifications and alarms for EC2 instances using Cloud Watch.
• ImplementedAWSsolutions using CloudFormation Templates and launched configurations to automate repeatable provisioning ofAWSresources for applications.
• Converted existing AWS infrastructure to serverless architecture (AWS Lambda, Kinesis) deployed via Terraform & AWS Cloud formation.
• Wrote Lambda functions in python for AWS Lambda and invoked python scripts for data transformations and analytics on large data sets in EMR clusters and AWS Kinesis data streams and configuration management tools such as Kafka.
• Worked on octopus deploy to deploy applications securely to servers that are on-premises or in the cloud. Web-based interface is used to modify and execute deployments, and a dashboard that teams can view the status of deployments.
• RunPowerShellscripts on Octopus Deploy to stop an application server and back up a database and Deploy an ASP.NET web application package, and update IIS,Deploy and reconfigure a Windows Service package.
• Created custom machine images and automation tools like Chef/Ansible using Terraform along with packer to install software's after the infrastructure is provisioned.
• Involved in working with Terraform to bring up a count of 'container instances' or 'nodes' in an AWS ECS cluster with different instances running on each one.
• Experience with setting up Chef Infra, bootstrapping nodes, creating, and uploading recipes, node convergence in Chef SCM.
• Created Chef Cookbooks and wrote recipes in Ruby Script to install and configured Infrastructure across environments and automated the process using Python Script.
• Installed and Implemented Ansible configuration management system. Used Ansible to manage Web applications, Environments configuration Files, Users, Mount points and Packages.
• Maintained high availability clustered and standalone server environments and refined automation components with scripting and configuration management (Ansible) and experienced in writing Ansible scripts.
• Experience with Container based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.
• Developed procedures to unify streamline and automate applications development and deployment procedures with Linux container technology using Docker swarm and Docker compose.
• Worked on implementing microservices on Kubernetes Cluster and Configured Operators on Kubernetes applications and all its components, such as Deployments, Config Maps, Secrets and Services.
• Create build and deployment configurations to deploy applications on OpenShift. Used Docker and OpenShift to manage microservices for deployment and testing.
• Configured and administered Jenkins for automated builds and Responsible for installing Jenkins master and slave nodes and maintenance of build pipeline.
• Configuration of various plugins for Jenkins for automation of the workflow and to optimize and smooth running of build jobs.
• Managed Git repository, code merging, production deployments and analyzed and resolved conflicts related to merging of source code for Git.
• Worked with MAVEN as a build tools on java projects for the development of build artifacts on the source code. Maintained build related scripts developed in shell for Maven builds, created and modified build configuration files including POM.xml.
• Responsible for log monitoring, auditing and enforcement of policies using New Relic Monitoring AWS Instances regularly using ops view and New Relic tools.

Environment: s: AWS, Ansible, Kubernetes, Docker, Terraform, Chef, Hashi Corp, ELK, Grafana, Yaml, PowerShell, Splunk, Unix/Linux, Shell scripting, Groovy, Python, Bamboo, Git, Maven, DynamoDB.

Confidential, New York, NY

DevOps & Cloud Engineer

Responsibilities:

• Worked on Amazon Web Services (AWS) configuring various AWS services like EC2, S3, Glacier, ELB (Load Balancers), RDS, SNS, SQS, EFS, CloudFront, VPCs and EBS etc.
• Configured AWS VPC (Virtual Private Cloud) and database subnet groups for isolation of resources within the Amazon RDS in Aurora DB cluster.
• Created S3 buckets and managed policies for S3 buckets and utilized S3 bucket and Glacier for storage and backup on AWS by implementing life cycle management to use S3 efficiently.
• Created functions and assigned roles in AWS Lambda to run python scripts, and AWS Lambda using java to perform event driven processing. Created Lambda jobs and configured Roles using AWS CLI.
• Build CI/CD pipeline using GitLab and Jenkins in Azure storing executable WAR, EAR file in the Azure Blob storage.
• Implemented Office 365 and Azure Active Directory for single sign-on, authentication, authorization, and Azure Role-based Access Control (RBAC).
• Used Kubernetes backed infrastructure to run microservices in production environments deployed on Kubernetes clusters and developed Kubernetes templates for multitude of applications.
• Created and managed pipelines using Azure Data Factory, copying data, configuring data flow in and out of Azure Data Lake Storage according to technical requirements.
• Validated deployments in Kubernetes by establishing a local development workflow that used Minikube and implemented Kubernetes interface by creating RESTful APIs to read, delete, store and update bucket information on Kubernetes Console.
• Wrote Python scripts to integrate Prometheus, Grafana to monitor the Kubernetes cluster metrics from host to container level.
• Designed and worked with team to implement ELK (Elastic search, Logstash and Kibana) Stack on Azure to provide end-to-end search and visualization for investigating log files.
• Created multiple isolated Docker projects and related test environments such as QA, test, UAT on a single host using Docker compose tool. Created Docker Registry for test images. Stored Docker images in Docker hub to share with others.
• Configured Chef Environment attributes such as default and overrides to specify the node settings. Configured Chef Kitchen to automatically test Chef Cookbook data across any combination of platforms and test suites.
• Defined Chef Cookbook recipes in Domain Specific Language (DSL) format to provide the desired configuration of the node.
• Used Ansible as Configuration management tool to automate repetitive tasks, quickly deploys critical applications, proactively manages change, and well versed with Ansible Playbooks, modules, and roles.
• Used Ansible Tower, which provides an easy-to-use dashboard and role-based access control, so that individual teams can access Ansible easier for their deployments.
• Created terraform templates for provisioning virtual networks, subnets, VM Scale sets, Load balancers and NAT rules and used terraform graph to visualize execution plan using the graph command.
• Setting up continuous integration and formal builds using Bamboo with Artifactory repository based on polling the GIT source control system and resolving update, merge and password authentication issues in Bamboo and JIRA.
• Created visualizations, Dashboards in Kibana. Configured Kibana Watcher for automatic generation of Kibana reports.
• Configured and administered Jenkins for automated builds and Responsible for installing Jenkins master and slave nodes and maintenance of build pipeline.
• Configuration of various plugins for Jenkins for automation of the workflow and to optimize and smooth running of build jobs.
• Responsible for performing tasks like Branching, Tagging, and Release Activities on Version Control using Git. Imported and managed multiple corporate applications into GitHub code management repo.
• Used Splunk for log analyzing and improving the performance of servers. Wrote several custom Splunk queries for monitoring and alerting.
• Installed and configured monitoring tools Nagios for monitoring the network bandwidth and the hardware status. Experienced in working with Ticketing & Tracking Tools like JIRA, Remedy, and ServiceNow.

Environment: s: AWS, Ansible, Kubernetes, Docker, Terraform, Chef, ELK, Grafana, Yaml, PowerShell, Splunk, Gitlab, Unix/Linux, Shell scripting, Groovy, Python, Bamboo, Git, GitHub, Maven.

Confidential, Mount laurel, NJ

DevOps & Cloud Engineer

Responsibilities:

• Configured Simple Storage Service (S3) Buckets for EBS backed Snapshots and versioning for data backups and leveragedAWScloud as an extension of the corporate datacenter by creating a VPN connection between corporate datacenter and Virtual Private Cloud (VPC) using Customer and Virtual Private Gateways.
• Build, configuration, administration, and troubleshooting of the VPC networking in a cross-domain, including VPC peering, limits and pricing and architects within AWS cloud populated by infrastructure, platform, and application services that share common security and interconnection and AWS Lambda and AWS config.
• Orchestrated multiple ETL jobs using AWS step functions and lambda, also used AWS Glue for loading and preparing Data Analytics for customers.
• Worked on designing and deploying a multi-tier application utilizing almost all the main services of AWS stack (like EC2, S3, RDS, VPC, IAM, ELB, Cloud watch, Route 53, Lambda and Cloud Formation) focused on high - availability, fault tolerance environment.
• Written Terraform scripts to automate AWS services which include ELB, CloudFront distribution, EC2, database security groups, Route 53, VPC, Subnets, Security Groups, and S3 Bucket and converted existing AWS infrastructure to AWS Lambda deployed via Terraform and AWS CloudFormation.
• Orchestrated and migrated CI/CD processes using Cloud Formation and Terraform templates and Containerized the infrastructure using Docker, which was setup in Vagrant, AWS and VPCs
• Developed automation scripts for provisioning, configuring, Managing EC2 Instances, cloud deployments using Ansible playbooks which are the entry point for Ansible provisioning, kibana, where the automation is defined through tasks using YAML format to setup Continuous Delivery pipeline.
• Operated 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 Tomcat, and IIS.
• Used Docker for virtualization, run, ship, and deploy the application securely to fasten the build/release engineering and used Kubernetes in managing and monitoring the cluster.
• Implemented the automation deployments using AWS by creating the IAMs and used the Code Pipeline plugin to integrate Jenkins with AWS and created the EC2 instances to provide the virtual servers.
• Created Docker Images & Docker Containers using Terraform Scripts. Used these containers for branching purposes & deployed with Amazon Elastic Beanstalk.
• Written multiple Chef Cookbooks in Ruby script Implemented environments, roles, data bags in Chef for better environment management. Setup Chef Server, workstation, client and wrote scripts to deploy applications.
• Written Chef Cookbooks for various DB configurations to modularize and optimize end product configuration, converting production support scripts to Chef Recipes and AWS server provisioning using Chef Recipes.
• Configured ELK stack in conjunction with AWS and using Log Stash to output data to AWS S3 and reduced Elasticsearch disk space usage by 67% by automating Elasticsearch maintenance using Jenkins.
• Developed automation scripting in Python (core) using Chef to deploy and manage Java applications across Linux servers.
• Developed build used Maven as build tools and used CI tools to kick off the builds move from one environment to other environments. Working with setting up of Continuous Integration processes with build, release, and test. Utilized internal tools and Jenkins tools to perform and implement Continuous Integration processes.
• Worked with Analytics Infrastructure team to develop a stream filtering system on top of Apache Kafka. Worked with application teams to install operating systems with Hadoop updates, patches, Kafka version upgrades as required.
• Responsible for design and maintenance of the GIT Repositories, views, Branches, Merges, and the access control strategies and implemented Subversion and GIT metadata including elements, labels, attributes, triggers, and hyperlinks. Used tools like JIRA, IBM ClearQuest for bug tracking and ticketing.
• Developed PowerShell scripts to automate the project creation, setting permissions for users, groups in TFS. Developed automation scripting in Python using Chef to deploy & manage Java applications across Linux/Windows servers.

Environment: AWS, S3, VPC, Cloud trail, AWS lambda, Route53, Elastic Beanstalk, Cloud Watch, Kubernetes, Docker, Chef, Ansible, Jenkins, Kafka, Python, Puppet, Network Protocols, Virtualization, GIT, Jira, ELK, Terraform, Subversion, SSH.

Confidential

Build and Release Engineer

Responsibilities:

• Configured Email and messaging notifications, managed users and permissions, system settings and maintained two Jenkins servers.
• Extensively worked with ANT tool to do the builds, integrated ANT to Eclipse and did local builds.
• Worked on creating ANT scripts to build and deploy Java/J2EE, Oracle SOA based enterprise applications to Tomcat Application Servers. Performed Java application deployments to JBOSS application server.
• Used Bit bucket to manage repositories, maintained the branching and build/release strategies utilizing GIT and Bit bucket.
• Involved in performing code reviews in C++, Python and Shell scripting languages for moving into development on Linux operating systems.
• Used Jenkins innovatively to automate most of the build related tasks. Improved throughput and efficiency of build system by providing EO/ managers rights to trigger required build.
• Used Nexus for periodic archiving and storage of the source code for disaster recovery, sharing artifacts and handling dependency management within the company.
• Deployed J2EE applications to Application servers in Agile Continuous Integration Environment and automated the process.
• Developing Nagios plug-in scripts, various reports, and project plans in the support of initiatives to assist in maintaining Nagios Distributed system monitoring and management.
• Worked on Installation, Configuration, and maintenance of Debian/RedHat, CentOS and SUSE servers at multiple data centers.

Environment: s: Jenkins, Linux/Unix, Bamboo, SVN, Ant, Java, J2EE, Jenkins, GIT, Apache web servers, C++, Python, Shell Scripting.

Confidential

Java Software Developer

Responsibilities:

• Involved in Analysis, Design, Development, Implementation phases along with Bug fixing and enhancement/maintenance in Agile Methodology.
• Developed web applications using Java/J2EE technologies like Spring MVC JDBC, JSP
• Implemented applications using Object Oriented Programming, Multi-threading, Exception Handling, and collections
• Created and maintained the configuration and multiple profiles of the Spring Framework for the application for various environments, used spring profile.
• Used Maven for application life cycle management and Jenkins for continuous integration.
• Used Spring REST controllers to create the rest services, exception mappers, and validators.
• Implemented web applications using apache tomcat, provide privileges to the user to upload, update and remove files from the cloud.
• Used Auto wired POJO and DAO classes withSpringControllers.
• Developed Web application for backend system using AngularJS with cutting edge HTML and CSS techniques.
• Used Log4j to print the logging, debugging, warning info on the server console.

Environment: s: Windows operating system, JAVA/J2EE, JDBC, apache tomcat, Java script, MYSQL, Drive HQ cloud storage provider, XML, Exception handling, Multi-threading, HTML5, CSS3, REST, Angular JS, Log4j.