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Sr. Cloud Engineer Resume

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Houston, TX

SUMMARY

  • Around 8 Years of experience as DevOps Engineer with understanding of high availability architecture and concepts and profound knowledge on cloud infrastructure maintenance, trouble shooting, monitoring, containerization, and automation.
  • In - depth knowledge of cloud computing strategies & building, deploying in, and maintaining the cloud environment.
  • Excellent knowledge inAzurecompute services,Azure Web apps,AzureData Factory & Storage,AzureMedia & Content delivery,AzureHybrid Integration, andAzureIdentity & Access Management.
  • Embedded Experience in AuthoringAzure Resource Manger templates. Experience in setting up and customizingActive Directory, Azure Active Directory, Domain Service, SSOandMFAand security.
  • Involved in designing and developingAmazon EC2,Amazon S3,Amazon RDS,Amazon Elastic Load Balancing,Amazon SWF,Amazon SQS, and other services of the AWS infrastructure.
  • ImplementedAWS Lambda functionsto run scripts in response to event inAmazon Dynamo DBtable orS3 bucketor toHTTPrequests usingAmazon API Gateway.
  • Profound Knowledge on IAAS and setting upAWScloud infrastructure usingAWSCloudFormation andJenkinsfor Automation. Designed and developed continuous deployment pipeline usingJenkinsand integratingTerraformandAnsibleacross geographically separated hosting zones in AWS.
  • Designed, build, and coordinate an automated build & releaseCI/CDprocess usingGitHub, Jenkins, and Puppeton hybrid IT infrastructure.
  • Provisioned the highly availableEC2Instances usingTerraformandCloud Formation.
  • Extensive experience withTerraformkey highlights, for example, Infrastructure as code, Execution designs, Resource Graphs, Change Automation.
  • Expertise in CreatingKubernetesHA clusters with Multi Zones in single region. Hands on with installation and configuration ofKubernetes, clustering them and managed local deployments inKubernetes.
  • Deployed and configuredPrometheusto monitorKubernetes nodeswith node-exporter, monitorKubernetes APIand resources withKube-state-metrics.
  • Experience in usingDockerand setting upELKwith Docker andDocker-Compose. Actively involved in deployments onDockerusingKubernetes. Familiarity withDocker Swarm.UsedDocker Mesosto abstract data center resources and to elastically scale the applications and underlying infrastructure.
  • IntegratedJenkinswithDockerfor Docker build and deployments using CloudbeesDockerpipeline plugin.
  • Experience in setting upDocker Registryfor local pull and push ofDocker imagesand fromDocker hub.
  • Experienced in production-gradeKubernetesthat allow enterprises to reliably deploy and run containerized workloads acrossprivate and public clouds. ManagedKubernetescharts usingHelm.
  • Worked withAnsibleplaybooks for virtual instance provisioning, configuration management, patching and software deployment onAWSenvironments through automated tools,Ansible/Jenkins custom pipeline.
  • Administered and EngineeredJenkins, BambooandHudsonfor managing weekly Build, Test and Deploy chain,SVN/GITwith Development, Testing and Production Branching Model for weekly releases.
  • Experience in developing modules (blue prints) for installation, configuration and continuous integration (CI) using combination ofpuppet master, GIT, Vagrant and Jenkins.
  • Composed and implementedSubversionandGITmetadata including elements, labels, attributes, triggers, and hyperlinks.GIT,Maven,Jenkinsadministration. Setting up continuous integration and formal builds usingJenkinswithArtifactoryrepository.
  • Provisioned the highly availableEC2Instances usingTerraformandCloudFormation. Experience in Setting up the build and deployment automation forTerraform/CloudFormationscripts usingJenkins.
  • Experienced in cloud automation using AWS cloud Formation Templates, Chef and Puppet.
  • Experienced in configuration management using Visual Studio Team Services (VSTS), Team Foundation Server (TFS),VSSandSubversion(SVN)
  • Involved in Ticketing & Bug tracking tools likeJIRAand usedSonarQubefor automated code review.
  • Great communicative, interpersonal, and leadership abilities with capacity to work effectively in both autonomous and groupwork situations. Capacity to memorize and adjust rapidly to rising modern technologies/frameworks/environments.

TECHNICAL SKILLS

Cloud Technologies: Apache Azure, AWS

Configuration & Management tools: Ansible, Chef, Terraform, CloudFormation, Azure Resource Manager

CI/CD & Build Tools: Jenkins, Hudson, Bamboo, Puppet, ANT, Maven

Version Control Tools: GIT, Subversion

Monitoring Tools: Nagios, SPLUNK, ELK, New Relic, Graphene, Zabbix.

Languages: C, C++, JAVA, J2EE.

Databases: MySQL, NoSQL, MongoDB, DynamoDB, Elastic ache.

Containerization Tools: Docker, Docker Compose, Docker swarm, Docker Mesos, Kubernetes.

Scripting language: Python, Ruby, Perl, PHP, Bash, Power shell.

Virtualization Tools: VMware, Windows Hyper-V, Virtual box, Vagrant, Citrix Xen.

Atlassian Tools: JIRA, Confluence, Bitbucket, Bamboo.

Operating Systems: Linux (Red Hat, CENTOS & SUSE), Solaris, Ubuntu, Windows, DEBIAN.

Application servers: Web Logic Application Server, Apache Tomcat, Red Hat, JBOSS, WebSphere.

Development methodologies: Agile/Scrum

PROFESSIONAL EXPERIENCE

Confidential - Houston,TX

Sr. Cloud Engineer

Responsibilities:

  • CreatedAzure Automation Assets, Graphical runbooks, PowerShell runbooks that will automate specific tasks, deployedAzure AD Connect,configuring ADFS authentication flow, ADFS installation usingAzure ADConnect.
  • Worked onAzure (IaaS)migrating like creatingAzureVMs, storage accounts, VHDs, storage pools, migrating on premise servers toAzureand creating availability sets inAzureand performed Hardening of the VM’s and also disk encryption using the KEK key inMS Azure.
  • Worked onAzureSite Recovery andAzureBackup- Installed and Configured theAzureBackup agent and virtual machine backup, EnabledAzureVirtual machine backup from the vault and configured the ASR.
  • Configured diagnostics, monitoring and analytics onAzureusingAPI Management, Logic Appsand set up documentation usingSwagger API, while focusing on scale and resilience forAzure Web Apps..
  • Designed and configuredAzureVirtual Networks (VNets), subnets,Azurenetwork settings, DHCP address blocks, DNS settings, and security policies and routing.
  • ManagingsecuritygroupsonAWS,focusingonhigh-availability,faulttolerance,andauto-scaling usingTerraformtemplates.
  • ExperienceinmaintainingAmazonWebServicesandHandsonexperienceinArchitectingLegacy
  • UtilizedARM templateto build high-availabilitySQLfor application backend infrastructure and virtual machine front-end scale sets, including reporting, scripting, and scheduling.
  • Worked withTerraformTemplates to automate theAzure IaaS virtual machinesusingterraformmodules and deployed virtual machine scale sets in various environments.
  • Developing PowerShell scripts and ARM templates to automate the provisioning and deployment process.
  • Implemented puppet modules to automate the installation and configuration for a broad range of services.
  • Worked on Serverless services, created and configured HTTP Triggers in the Azure Functions with application insights for monitoring and performing load testing on the applications using the Visual Studio Team Services (VSTS) also called as Azure DevOps Services.
  • Transformed currentTerraform modulesthat had version conflicts to empower controls and missing potency.
  • Developed automation system using PowerShell scripts and JSON templates to remediate the Azure services
  • Written Templates to maintainIACusingTerraformto buildstagingandproductionenvironments.
  • UsedAnsibleandAnsibleToweras Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change.
  • ConfiguredKubernetes Services type load balancerand Cluster IP to expose UI based application and migrated cluster CNI from Flannel toKube-routerto supportKubernetes networkpolicies.
  • Created theKubernetes Clustersunder Pod networks to group theDocker containers.
  • UsedKubernetesandDockerto maintain the runtime environment for theCI/CDsystemto build, test and deploy the applications across different environments. Created reproducible builds of the Kubernetes applications, managedKubernetes manifest filesand Managed releases ofHelmpackages.
  • Implementation of Release Management automation processes using Team Foundation Server(TFS), Visual Studio Team Services(VSTS).
  • Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal.
  • Developed microservice onboarding tools leveragingPythonandJenkinsfor easy creation and maintenance of build jobs andKubernetesdeploy and services.
  • Used Docker and setting upELKwith Docker andDocker-Compose.
  • UsedPuppetandCheffor Configuration Management tool.
  • ImplementedELK(Elastic Search, Log stash, and Kibana) Stack for Application Logging.
  • UsedJenkinsand pipelines to drive all micro services builds out to theDocker-registryand then deployed toKubernetes, Created Pods and managed usingKubernetes.
  • Worked on deployment automation of all the microservices to pull image from the privateDocker registryand deploy toDocker swarmcluster usingAnsible.
  • Took advantage ofJenkinsfor enterprise scale infrastructure configuration, creating required scripts inPythonand checking out the code fromGITand useMaven pom.xmlto build Jar, war, tar, and ear artifacts.
  • Developed the puppet manifests for different application and web servers like Apache, Tomcat, Web Sphere applications
  • Worked withJIRAtemplates for allotting permissions to users and groups for the projects & created mail handlers and notification Schemes forJIRA. Evaluation and manageConfluenceadd-ons and macros. Documented troubleshooting, installation, and server’s information inconfluenceandbitbucket.
  • Performed user administration; startup and shutdown scripts;cronjobs, file system maintenance and backup scripting and automation usingshell scripting(BASH,KSH) andPerlfor Red Hat Linux systems. Extensive experience inUnixSystem Administration, System Builds, Server Builds, Installations, Upgrades, Patches, Migration, Trouble shooting onRHEL.

Environment: Microsoft Azure (IaaS& PaaS ), Jenkins, JIRA, Subversion, AWS Cloud, Puppet, JBoss, MySQL, PostgreSQL, OpenStack, Jython,Apache, Nginx, FTP, Splunk, Docker, Windows Server 2003, HTML, HTML5, OWASP, CSS3, Bootstrap, Code igniter, Adobe Fireworks and Sublime Text, Ansible.

Confidential, Charlotte NC

Sr. DevOps Engineer

Responsibilities:

  • Developed Microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.
  • G reproducible builds of the Kubernetesapplications, managed Kubernetes manifest files and Helm packages and implemented Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple namespace versions.
  • Experience on Kubernetesbased container deployments to create self-environments for dev teams and containerization of environments delivery for releases.
  • Used Docker, Kubernetes to manage Microservices for development of continuous integration and continuous delivery.
  • Worked on Administration, maintenance and support of Red Hat Enterprise Linux servers.
  • Implemented a Continuous Delivery pipeline with Docker, Jenkins and GitHub and AWS.
  • Worked on creating theDockercontainers andDockerconsoles for managing the application lifecycle.Worked on various Docker components like Docker Engine, Hub, Machine, Compose and Docker Registry.
  • Focused on containerization and immutable infrastructure. Docker has been core to this experience, along with Kubernetes. Experienced in using Docker Swarm and deployed spring boot applications. Deployed Docker Engines in Virtualized Platforms for containerization of multiple apps.
  • Worked on Cloud automation using AWS Cloud Formation templates.
  • Created Docker images from scratch and customized and modified base images from existing environment configurations and maintaining the image repository for development teams.
  • Created Ansible roles in YAML and defined tasks, variables, files, handlers and templates. Created inventory and configured theAnsiblefiles for parallel deployment inAnsiblefor automating the Continuous delivery process
  • Experience in managing Ansible Playbooks with Ansible roles. Used file module in Ansible playbook to copy and remove files on remote systems. Created inventory in Ansible for automating the continuous deployment.
  • Installed and configured Subversion server on Linux via the Apache Web Server to provide access over the Http protocol.
  • Used Ansible as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change.
  • Experience on Operations Management Suite, Power shell Scripts and ARM templates.
  • Automation process with popular scripting languages, integrating with third party api’s. (Python, PowerShell, bash).
  • Virtualized the AWS Servers using the Docker, created the Docker files and version controlled them.
  • I wrote the ansible playbooks which is the entry point for Ansible provisioning, where the automation is defined through tasks using YAML format. Run Ansible Scripts to provision Dev servers.
  • Writing several Ansible Playbooks and Roles for provisioning the machines in different environments and converting the static playbooks into roles.
  • Experience in using Ansible Tower, which provides an easy-to-use dashboard, and role-based access control, so that it is easier to allow individual teams access to use Ansible for their deployments.
  • Having experience in Code Scanning configuration and Optimization in Sonatype and VeraCode.
  • Integration of Automated Build with Deployment Pipeline. Currently installed and clients to pick up the Build from Jenkins repository and deploy in target environments (Integration, QA, and Production).
  • Developed Microservice onboarding tools leveraging Python and Jenkins, allowing for easy creation and maintenance of build jobs, Kubernetes deploy and services.
  • Using Terraform as a tool, Managed different infrastructure resources Cloud, VMware, Bare Metal Servers, and Docker containers. Also, configured RDS instances and map more complex dependencies and identify network issues using Terraform.
  • Created Python scripts to totally automate AWS services which includes web servers, ELB, Cloud Front.
  • Used Terraform for building, changing, versioning infrastructure and collaborate the automation of Jenkins.
  • Built the process by automating using JSON Templates and deploying it using the build and releasepipeline in VSTS.
  • Worked on setting up Splunk to capture and analyze logs from various layers such as Load Balancers, Web servers and application servers.
  • Developed procedures to unify, streamline and automate application development and deployment procedures with Linux container technology using Docker.
  • Used Splunk to monitor the system logs as well as notify the incident management system upon exceeding thresholds.
  • Writing AWS Terraform templates for any automation requirements in AWS services.
  • Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using GIT source control also Analyze and resolve conflicts related to merging of source code for GIT.
  • Extensive exposure to configuration management policies along with automation of scripting using Bash/Shell scripting.
  • Maintained JIRA for tracking and updating project defects and tasks ensuring the successful completion of tasks in sprint.

Environment: Kubernetes, Docker, Terraform, Jenkins, Git, Ansible, Maven, Nginx, Sonarqube, Elk, Apache Tomcat, Python, Power shell, Windows/Linux

Confidential, Atlanta GA

DevOps Engineer

Responsibilities:

  • Serving as a hands-on subject matter expert for DevOps and Automation in an AWS/GCP infrastructure environment
  • Work with business units, software developers, security, to design and build applications and services within AWS and GCP cloud providers.
  • Experience with Cloud technologies such as AWS, or Google Cloud
  • Provide daily monitoring, management, troubleshooting and issue resolution to systems and services hosted on cloud resources.
  • Configured Jenkins, used as a Continuous Integration tool for Installing and configuring Jenkins Master and hooking up with different build slaves. Automatized Java application builds using with Ant and Maven
  • Used Chef for configuration management of hosted Instances within GCP. Configuring and Networking of Virtual Private Cloud (VPC).
  • Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.
  • Setup GCP Firewall rules to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
  • Experience in the design and implementation of CI/CD pipeline processes; Used Jenkins and Gitlab to perform automated CI/CD builds and Deployments.
  • Experienced in using Docker Swarm and its Overlay Networking to keep the related containers under same network, scaled out with Routing Mesh of Docker, used Secrets in Docker Swarm Services.
  • Maintainging the user accounts (IAM), Route 53 services in AWS cloud.
  • Launching Amazon EC2 cloud instance using Amazon Images and Configuring launched instances with respect to specific applications.
  • Initially worked with the open source Apache Kafka and migrated to Confluent cloud.
  • Loading salesforce Data every 15 min on incremental basis to BIGQUERY raw and UDM layer using SOQL, Google DataProc, GCS bucket, HIVE, Spark, Scala, Python, Gsutil And Shell Scrip
  • Managed Google BigQuery instance for the data warehouse, using Google Data Prep and Google storage as the staging platform. Deployed the application using Google App Engine.
  • Created S3 buckets and managed policies and utilized s3 bucket and backup on AWS.
  • Setup SFTP server in AWS.
  • Created projects, VPC's, Subnetwork's, GKE Clusters for environments QA3, QA9 and prod using Terraform Created projects, VPC's, Subnetwork's, GKE Clusters for environments.
  • Generated Unix scripts for build activities in QA, Staging and Production envirionments.
  • Created CloudWatch alerts for instances and using them in Auto scaling launch configurations.
  • Monitoring the server alerts through CloudTrail, CloudWatch and troubleshooting the alerts.
  • Manage and support full application stacks from the OS through custom applications using Amazon cloud based computing environments.
  • Configured AWS IAM polices for users, utilizing Multi Factor Authentication (MFA) service and API Keys for login authentication and protects the data at rest using (KMS) Key Management Service and data at transit using (TLS) Transport Layer Security protocol.
  • While coordinating with developer teams,Spring Boothelped us to create several REST ful applications and for deployment of J2EE in production environments
  • Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
  • Worked onREST APIsin configuring the changes and to maintain Index points.
  • Manage a continuous integration/continuous deployment methodology for our server based technologies
  • Work as part of a team, to design and develop cloud data solutions.
  • Pushing code from Git to AWS or Google cloud for release through automatic script using Jenkins. Participated in building a web application form scratch.
  • Python, Docker container, Service Orchestration. Performed data transformations using Scala in Apache Spark
  • Deployed Hadoop clusters in cloud for HPC in AWS Written Hadoop MapReduce jobs to perform data transformations using Hive & Pig. Automated data ingestion using Apahe kafka, Storm
  • Deployed ASP.NET web Application in AWS using Web App service, connected it to SQL Database
  • Implemented CI/CD process using Jenkins, Terraform and GKE on Google GCP shared VPC environment. Compiled microservices maven builds using Jenkins CI process and deployed using docker and Kubernetes to GCP environment namespace such as dev, QA, UAT and PROD. Configured and automated infrastructure component such as GCP’s Cloud Functions, Dataflow, GKE Cluster, GCS, BigQuery, Pub/Sub using terraform deployed via CI/CD pipeline.Performed functional and regression test of microservices web application using Selenium tool and integrated with Jenkins CI/CD pipeline.
  • Monitoring Bigquery, Dataproc and cloud Data flow jobs via Stackdriver for all the environment.
  • Collaborated with multiple upstream and downstream application teams while migrating the legacy services and applications to GCP and during migrating PII data and site A decommission
  • Release engineer for a team that involved different development teams and multiple simultaneous software releases.
  • Installation and configuration of Git, merging code from developing branch to master branch and make it ready for development. Documented project's software release management procedures with input decisions.
  • Set-up databases in GCP using RDS, storage using S3 bucket and configuring instance backups to S3 bucket. prototype CI/CD system with GitLab on GKE utilizing kubernetes and Docker for the runtime environment for the CI/CD systems to build and test and deploy.
  • Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.
  • Setup GCP Firewall rules to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
  • Worked on Jenkins file with multiple stages like checkout a branch, building the application, testing, pushing the image into GCR, Deploying to QA3, Deploying to QA9, Acceptance testing and finally Deploying to Production.
  • Building/Maintaining Docker/ Kubernetescontainer clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP
  • Participate in the design and development of various internal and customer-facingsoftware leveraging the Google Apps Engine and Google Cloud Platform technologies.
  • Work with customers to define or improve their developments process when theymoved to Google Apps Engine or Google Cloud Platform.
  • Configured serverless environment in GCP which is Google App Engine.
  • Managed network security using Load balancer, Auto-scaling and Security groups

Environment: AWS, GCP, Google App Engine, PII, GCP, WebLogic BigQuery Application Server 8.x/9.x/10.x/11g/12c, Jboss 6.x, JDK 1.4/1.51.6/1.7 , JRockit 8x, Apache 2.x, Spark,REST API Tomcat 7.x/8.x, Sun One/ iPlanet, IIS 6, Solaris 8/9, Red Hat LINUX, Windows 2007, F5 Load balancer, SiteMinder, Nagios, JMX, Oracle 8i/9i, JDBC, Subversion, EJB, JSP, Servlets, XML,MS Office, OpenSSL, Secure

Confidential - Charlotte, NC

Full stack Java Developer

Responsibilities:

  • Implemented Object-Oriented design methodology and Core Java concepts such as Multi-threading, Exception handling, Lambda expressions, Collections and I/O.
  • Built a custom cross-platform architecture using Java, Spring Core/MVC, Hibernate and Messaging Routing Service Active-MQ in Eclipse IDE.
  • Implemented all phases of security using Spring Security system against all types of authentications like Pre-Authentication, Role based authorization, LDAP authentication and Database authentication.
  • Responsible for creating efficient design and developing User Interaction screens using HTML, CSS3, Bootstrap, JavaScript, Angular 6 and Node JS. Experience with creating custom directives, decorators, and services to interface with restful web services. Implemented Angular Router to enable navigation from one view to the next as customer performs application tasks.
  • Used JIRA for bug tracking. Git is used as a version control tool and Jenkins is used for continuous integration of builds.
  • Monitored the error logs using Log4J, fixing problems and wrote test cases using JUnit-Mockito for each module.
  • Developed SQL Statements as well as PL/SQL Stored Procedures for searching contractors depending on Selection Criteria.

Environment: Java(8), C, C++,JSP, Servlets, JDBC, JSTL, JMS,JSF,Spring, Hibernate, Angular, Mockito Maven, Jenkins S3, EC2, ELB, EBS, EFS, Route53, Auto Scaling Groups, Elastic Beanstalk, Lambda IAM, Cognito, CloudWatch, Cloud Alarms, CloudTrail HTML, CSS, Bo, JavaScript, typescript otstrap Eclipse, IntelliJ, Visual studio code, NetBeans GitHub, Bitbucket, Jira MySQL, Oracle, MongoDB, PostgreSQL

Confidential

Java Developer

Responsibilities:

  • Used OOPs concepts of Java like Abstraction, Encapsulation, Polymorphism, Inheritance in developing code using Java 8.
  • Managed and created data objects using collection framework.
  • Worked with java 8 features like Lambda expressions, Method references, Functional interfaces, Stream API, Default methods etc.
  • Working with multithreading and synchronization and using concepts like thread scheduler, thread priority, thread pool, synchronized block, interrupting thread etc.
  • Worked with JDBC the database API to connect and execute the query with the database. Functions include Connect to the database, execute queries and update statements to the database, Retrieve the result received from the database.
  • Worked with spring framework by creating microservices using spring boot.
  • Experience with spring MVC, hibernate, AOP, DAO and writing code using annotations, handling exceptions etc.

Environment: Java(8), C, C++,JSP, Servlets, JDBC, JSTL, JMS,JSF,Spring, Hibernate, Angular, Mockito Maven, Jenkins S3, EC2, ELB, EBS, EFS, Route53, Auto Scaling Groups, Elastic Beanstalk, Lambda IAM, Cognito, CloudWatch, Cloud Alarms, CloudTrail HTML, CSS, Bo, JavaScript, typescript otstrap Eclipse, IntelliJ, Visual studio code, NetBeans GitHub, Bitbucket, Jira MySQL, Oracle, MongoDB, PostgreSQL

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