SUMMARY

• Around 8 years of experience in IT Professional and 6 years specialization in Cloud/Azure/DevOps Engineer, experienced in DevOps, Build/Release Continuous Integration, Continuous Deployment, Configuration Management on each packaging Quality Control and which also includes Trouble shooting and performance issues on Linux and Windows platforms.
• Involved in designing and deploying a large application utilizing almost all the AWS stack (Including IAM, EC2, S3, Route 53, ELB, Code Commit, Code Build, Code Deploy, RDS, Glue, Dynamo DB, GCP, SNS, SQS, Cloud Formation, EBS) focusing on high - availability, fault tolerance, and auto-scaling in Aws cloud.
• Experience in Big Data processing using Apache Hadoop.
• Experience using Big Data technologies including Hadoop stack.
• Cost optimization for Aws services and build Serverless Architecture by using Lambda functions, STEP Function, Athena, Glue, S3, GCP, CloudWatch and Cloud Metrics.
• Strong knowledge in setting up BPM/BAM/OEM 12c for monitoring Linux hosts and WebLogic monitoring and configuring OMS to monitor the heap, thread count for WebLogic servers and setting up RPMs to do the install.
• Experience in Technical and Functional side of the Team Foundation Server Components (Source Control, Work Items, TFS Builds, Reporting, SharePoint).
• Experienced in Infrastructure as code and using most of the AWS services like EC2, S3, IAM, ELB, VPC etc.
• Experienced in Provisioning of IAAS & PAAS concepts of cloud computing and Implementing using, Aws, Azure,Google Cloud Platform understanding the principles of (SCM) in Agile, Scrum and Waterfall methodologies.
• Manage the Windows Azure infrastructure for our customers depends on their requirement. Worked on Microsoft AzureStorage - Storage accounts, blob storage, managed and unmanaged storages. Responsible of web application deployments over cloud services (web and worker roles) on Azure, using VS and PowerShell.
• Developed Agile processes using Groovy, JUnit to use continuous integration tools Worked for designing and creating a Micro services delivery platform Initiative.
• Hands-onexperience with monitoring tools like Prometheus, Dynatrace. And worked with Apache Kafka and Zookeeper.
• Good understanding of Pivotal cloud foundry (PCF) Architecture (Diego Architecture), PCF components and their functionalities. Experienced in using Pivotal Cloud Foundry (PCF) CLI for deploying applications and other CF management activities.
• Implemented, supported & customized Configuration Management using Powershell DSC & Chef.
• DevOps solution including the functions of build, deploy, automation test control, generating reports and notification services with an end goal of continuous integration in a data center and GCP
• Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure Automation tools like Git, Bitbucket, Maven, Jenkins, TeamCity, Chef,Spinnaker, Ansible, Terraform, Dynatrace, Docker, Kubernetes, Nagios and ELK.
• Experience in working with Terraform for automating VPC's, ELB's, Security groups, SQS queues, S3 buckets and continuing to replace the infrastructure as a code from scratch.
• Experience in building Docker images using GitLab-ci build automation runner.
• Automated deployment from GitLab-ci to OpenShift.
• Setup automated build, test and release platform using TeamCity, Jenkins pipeline as a code, SonarQubeand JFrog Artifactory to be triggered on every code commit.
• Developed in AWS CLI script automation for EMR (end-to-end) and other AWS services and build Serverless Arch using Lambda (Boto3) and Step Functions.
• Understanding of Cloud Environment like AWS, Azure, PCF Pivotal Cloud Foundry.
• Knowledge in load balancing and setting up load balancer and firewall rules in enterprise environment Build scripts on Aws cloud for scheduling EC2 auto scaling load balancer with PYTHON sdk.
• Implementing CI (Continuous Integration) Configuring Jenkins and TeamCity servers creating required scripts (Bash shell, Perl & Python), and creating/configuring VMs (Windows/Linux) also Created Infrastructure report of system configurations using Power Shell Scripts.
• DevOps practice for Micro Service anddocker basedclusterusing Kubernetes and spinnaker as Orchestrator on application development for cloud platforms using like Spring boot, Microservices.
• Experience using MAVEN and ANT build tools for building of deployable artifacts (jar, war & ear) from source code. Automated weekly releases with ANT/MAVEN scripting for Compiling java code dubbing.
• Building/Maintaining Docker container clusters managed by Aws, Linux, Bash, GIT, Docker. Utilized kubernetes kops cluster and Docker for the runtime environment of the CICD system to build, test deploy.
• Written cookbooks for Web Logic, JDK 1.7, and Jenkins, tomcat, JBoss and deployment automation for creating Cookbooks comprising all resources, data bags, templates, attributes and used knife commands to manage Nodes onto Chef Server.
• Automated Various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible Playbooks and integrated Ansible with Jenkins also provisioned and patched servers using Ansible.
• Used monitoring tool like Dynatrace, Splunk, Nagios, Configured, and Managed Monitoring Tools such as Nagios for Resources Monitoring/Network Monitoring/Log Trace Monitoring.

TECHNICAL SKILLS

Cloud Environments: AWS, Azure, Google Cloud (GCP),(Pivotal Cloud Foundry)

Operating Systems: Red Hat Linux, CentOS 6 & 7, Ubuntu12.x, 13.x, 14.x, Windows 98, Vista, Windows Server 2003, 2008, 2012, VMware ESX and Mac OS.

Web/ Application Servers: Apache Tomcat, WebLogic, JBoss 5.x/6.x/7.x, Web Sphere Administration, IIS and Nginix.

Databases: MySQL, MemSql, Oracle, MySQL, Mongo DB, PostgreSQL, RDS, ElastiCache

Version Control Tools: Subversion, TFS, GIT,GitLab, GIT HUB, SVN, Bitbucket.

Configuration Management: Ansible, Chef, Puppet

CICD Tools: CloudBees, Jenkins/Hudson,uDeploy , Spinnaker, Team City, Maven, SonarQube, Nexus Artifactory.

Container Tools: Kubernetes, Docker, OpenShift

Monitoring Tools: Dynatrace, Grafana, Nagios, Splunk, Dynatrace, AWS cloud watch, ELK

Scripting Languages: Ruby, Python, Golang, groovy, Unix Shell scripting, Node JS, XML, HTML, JAVA, JEE, JavaScript, Angular JS, Power Shell, JSON, YAML, AWS Lambda.

Bug Tracking & Testing tools: JIRA, J Unit, J Meter Test Flight, Test Rail, Selenium.

Networking: TCP/IP, NFS, DNS, VPN, DHCP, WAN, HTTP, LAN, FTP/TFTP, VMware nexus switch, IP Networking, F5 load balancer.

PROFESSIONAL EXPERIENCE

Azure/AWS/DevOps Engineer/ Site Reliability Engineer

Confidential - Atlanta, GA

Responsibilities:

• Administrating and supporting company’s AzureKubernetes infrastructure, ensuring it is secure, resilient and performance and responsible for complete DevOps activities and coordinating with development team.
• Working as KubernetesAdministrator, involved in configuration for web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure traffic manager, App services.
• Configured V-net integration, Active directory, Encryption and security on Azure using ARM templates and PowerShell scripts.
• Designed & Implemented Configuration Management (Powershell DSC)
• Responsible to configure alert notification to monitor CPU metrics, VM health’s and events logs.
• Deployed VNETs and site-site VPN using PowerShell and deployed VMs into various subnets and enabled communications between subnets.
• Developed PowerShell scripts and ARM templates to automate the provisioning and deployment process.
• Successfully created kubernetes pipeline of deployment & operation activities where all code is written in java, python& stored into bitbucket, for staging & testing purpose.
• Preferable Azure by creating multilevel hybrid pipeline of CI & CD helped clients to achieve kubernetes platform.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, stack monitoring using Ansible Playbooks using Jenkins.
• Efficient in Build and configuration of infrastructure in cloud development through the usage of Terraform tool as IaC, and ability of modifying the Terraform modules based on the requirement of development project.
• Created AWS EBS volumes for storing application files for use with AWS EC2 instances whenever they are mounted to them and installed Pivotal Cloud Foundry (PCF) on EC2 to manage containers created by PCF.
• Setting GitLab repository and Runner for build automation.
• Creation of gitlab-ci.yml file for kicking build process in stages that run in docker container.
• Developed custom DSC roles.
• Implemented Infrastructure as code (IaC) using CloudFormation templates and Puppet
• Created pipelines for deploying code from GitHub to Kubernetes (K8s) cluster in the form of Docker containers using Spinnaker platform.
• Involved in designing and deploying multitude applications utilizing almost all of the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling.
• Experience in Micro services development using spring boot and deployment in Pivotal Cloud Foundry (PCF).
• Agile coaching toward ACCM.
• Scrum team member and agile champion, retrospectives, planning poker, agile estimation.
• Configuring JUnit coverage report and Integration Test cases as part of build in GitLab Runner.
• Developed build workflows using Gradle, Gitlab-CI, Docker and OpenShift.
• Administered and Configured the TFS with in multi -platform environments.
• Involved in the Code migration from TFS to Git repo.
• TFS/GIT responsibilities include maintaining the version control system (branching model, security), creation and maintenance of build definitions\scripts, and the setup of work item areas and iterations
• Administered the TFS and VSS Repositories for the Code check in and checkout for different Branches.
• Our DevOps solution includes the functions of build, deploy, automation test control, generating reports and notification services with an end goal of continuous integration in a data center and Cloud (AWS environment).
• Implemented cluster services using Docker and Azure Kubernetesservices (AKS) to manage local deployments in kubernetes by building a self-hosted kubernetes cluster using Jenkins CICD pipeline.
• Maintained and automated the scripts by using Python for automated deployments.
• Drive end to end deployment of various components on the Azure cloud platform.
• Deploy and monitor scalable infrastructure on Amazon web services (AWS) & configuration management using Chef.
• Developed Ansibleplaybooks to manage Web Applications, Environments configuration files, Users, Mount, points and packages. Implemented Continuous Integration using Jenkins and GIT.
• Familiar with helmcharts for deployment manager to use of charts and templates for listed file names.
• Implemented Podsecuritypolicies (PSP) in AKS for required best practices and the ability to control what pods to be controlled, scheduled in AKS cluster prevents some possible security vulnerabilities or privilege Escalations .
• Experienced working in Istio installation to enable Node to Node encryption on Azure Kubernetes service for Security requirement that intercepts all network communication between micro services.
• Implemented Twistlock for rule-based access control policy system for Docker and Kubernetes containers to scan monitor events, runtime, vulnerabilities, Compliance for containers, images, Hosts, Registry, JenkinsJobs .
• Implemented HTTPS Ingresscontroller and use TLS certificate on AKS to provide reverse proxy, configurable traffic routing for individual Kubernetes services.
• Monitoring and tracing logs using Dynatrace.
• 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.
• Installed Pivotal Cloud Foundry (PCF) on instances to manage the containers created by PCF.
• Moved all Kubernetes container logs, application logs, event logs and cluster logs, activity logs and diagnostic logs into Azure EventHubs and then into Splunk for monitoring .
• Used Jenkins as Continuous Integration tools to deploy the Spring Boot Microservices to Pivotal Cloud Foundry (PCF) using build pack.
• Experience with installation and configuration of Dynatrace monitoring tool. And created email alerts and threshold values using Dynatrace for our environment.
• Used the Extreme Programming ( agile ) methodology.
• Familiarity with AWS Redshift, Postgres, MemSQL, and other newer database technologies
• Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Node.js.
• Daily monitoring production servers using Grafana and Prometheus which is integrated with kubernetes, exceptions and report to the team if something happen during standups.
• Managing AzureDevOps build and release pipeline. Setting up new repos managing the permissions for various GIT branches. Deployed microservices, including provisioning AZURE environment.
• Extended support for existing product teams on how to integrate CICD into development life cycle.
• Gather new requirement with product owner and create tasks in the backlog, help with groom prioritize and estimations. Once in every two weeks perform deployment to production environment.
• Creating JIRA confluence articles for recent development performed, POC and tech designs.

Environment: Azure, Terraform, Jenkins,Dynatrace, TFS, AWS,Agile, PCF (Pivotal Cloud Foundry),Kubernetes, Docker, Ansible, Jira, Confluence, PowerShell Windows, IIS, Python, Spinnaker, Splunk, GitLab, GitLab-Runner,Grafana, Prometheus, Twist lock, Istio, Jenkins, git, Ansible.

Sr. DevOps/Cloud Engineer

Confidential

Responsibilities:

• Experience in creating the company's DevOps strategy in a mix environment of Linux (RHEL, Ubuntu, CentOS) servers along with creating and implementing a cloud strategy.
• Experience in using Cloud Infrastructure management and Implementation Working experience on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites. Caching, SQL Azure , NoSQL, Storage, Network services, Azure Active Directory, Scheduling, Auto Scaling, and Power ShellAutomation.
• Extensive working experience with different SDLC methodologies such as Agile and Waterfall with an ability to be creative and to take self-initiatives to execute/manage multiple projects in parallel during time critical situations.
• Deployed AzureIaaS Virtual Machines (VM’s) and PaaS role instance s (Cloud Services) into secure VNets and subnets, designed VNets and Subscriptions to confirm to Azure Network Limits.
• Experience in migrating on-premise data center to Aws cloud using VM Import/Export, Aws Data Migration Services.
• Maintained the user accounts (IAM), Cloud SQL, Cloud DNS, VPC, RDB , Cloud Datastore Cloud Bigtable, SQS and CloudPub/Sub services in Aws .
• Experienced in processing Big data on the Apache Hadoop framework using MapReduce programs.
• Experience in working with Windows, UNIX/LINUX platform with different technologies such as Big Data, SQL, XML, HTML , Core Java, Shell Scripting etc.
• Used Chef for configuration management of hosted Instances within GCP . Configuring and Networking of Virtual Private Cloud (VPC).
• Installed, Configured and administered WebLogic server 10.3.6 for development, QA, UAT and production environment on RHEL 6.4 platform.
• Involved in up-gradation of Weblogic 8.1 to Weblogic 10.3 and migration of Weblogic 8.1 to JBoss 5.0.
• For Weblogic servers and web servers documented the issues, migration and upgraded patches.
• Configured Node Manager to start and stop servers from admin console. Configured SSL and provided WebLogic based security procedures.
• Experience using Big Data technologies including Hadoop stack.
• Experience in building and deploying solutions to big data problems with various technologies
• Experience with Big Data tools and technologies including working in a Production environment of a Hadoop Project
• Completed set up of CD environment with focus on UrbanCodeuDeploy .
• Set up uDeploy server along with automated scripts to back up the server and restore from backup for Disaster recovery.
• Wrote CHEF recipes for automated uDeploy agent installs/updates, uDeploy agent relays install/update and configuring the same with the uDeploy server .
• Moved 72 web services and related application to uDeploy and maintained them across 5 environments Develop, QA , UAT, PreProd and Prod .
• Developed strategies, and contracts for validation of deployments and automated rollbacks in uDeploy.
• Designed and implementing Aws Cloud Infrastructure by creating templates for Aws platform also used Terraform to deploy the infrastructure necessary to create development, test and production environments.
• Configured Jenkins as a build engine to build and deploy applications to DEV , QA , UAT and PROD environments.
• Configured in setting up CICD pipeline integrating various tool with CloudBeesJenkins to build and run Terraform script templates to create infrastructure in Azure .
• Worked on Power Shell scripts to automate the Azure Cloud system in creation of Resource groups, Web Applications, Azure Storage Blobs & Tables, firewall rules and used Python scripts to automate day to day administrative tasks.
• Experienced managing release planning and branching strategy of GIT servers and worked on creating repositories in GIT Stash for multiple applications configured GIT repositories in CI setup in Jenkins and Injected Groovy scripts in Jenkins for dashboard and customized email triggers.
• Set-up databases in GCP using RDS, storage using S3 bucket and configuring instance backups to S3 bucket.
• Automated Various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible Playbooks and integrated Ansible with Jenkins also provisioned and patched servers using Ansible.
• Experienced on Docker and Ansible to build automation pipeline and Continuous Deployment for code using Jenkins and wrote Ansible Playbooks to automate Ansible Servers using YAML scripting.
• Experience working with the Openshift Redhat Enterprise which allows developers to quickly develop, host and scale applications in a self-manage cloud environment.
• Build servers using GCP , importing volumes, launching EC2, RDS , creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
• Used Kubernetes to manage containerized applications using its node, Config Maps, selector, services and deployed application container as Pods.
• Building/Maintaining Docker/ Kubernetes container clusters managed by Kubernetes Linux, Bash, GIT, Docker , on GCP
• Chef, Puppet, Jenkins continuous development, Power shell, PHP, Python, C#, Java, JavaScript, and Unix/Linux scripting .
• Administer Splunk Software Development Kit for JavaScript, Python and GCP Cloud Formation templates for Splunk distributed cluster deployment. Maintain and deploy builds in UAT and Production environment.
• Extensively Worked on Docker service rolling updates to implement zero downtime PROD deployments and worked with Docker Trusted Registry as repository for our Docker images and worked with Docker swarm.
• Deployed windows Kubernetes cluster with Azure Container Service (ACS) from Azure CLI and Utilized Kubernetes and Docker for runtime environment of the CICD system to build, test and deploy.
• Experience working with chef Enterprise and Chef Opensource, Chef DK, Chef Workstation chef server and client working with the configuration/Deployment tools like chef (Knife, recipe, cookbook).
• Integrated Splunk Enterprise with Dynatrace to monitor the performance of the application, managing Splunk Forwarder on centralized deployment server.
• Developed backup and recovery engine for VM backup/recovery using VMware vSphere APIs, Golang programming languagealso Contributed source code in Golang to developing an automation framework.
• Configured commercial SSLcertificates for high availability architecture applications Servers such as Web Spheres, WebLogic, Tomcat using NGINX and Apache web servers to terminate SSL endpoint.

Environment: Azure, Aws, Kubernetes, Docker, Bigdata, Weblogic,uDeploy , Swarm, Jenkins, Ansible, Jira, GCP, Confluence chef, Git, Git-Hub, Maven, MemSql, PowerShell Windows, Terraform, JIRA, Apache Tomcat, Shell Script, Python, Linux, Dynatrace, Splunk.

AWS& DevOps Engineer

Confidential - Houston, TX

Responsibilities:

• Worked on public cloud infrastructure preferably using AWS Product and Services Ec2 , virtual private cloud (VPCs), IAM , Securitygroups, ElasticBeanstalk , S3 , VPC , CloudFormation , RDS , Lambda , Redshift , SQS , SNS , cloud watch and Security Services AWS Shield, AWS Trusted Advisor, cloud front, CloudTrails.
• Experienced in working AWSkey Management service (KMS) is a service that help to create and control the encryption keys used to encrypt data.
• Provisioned EC2 instances into AWS by using Terraform scripts from scratch to pull images from Docker and performed AWS S3 buckets creation, policies on IAM role-based policies and customizing the JSON template.
• Experienced in Performed back-ups, scan states and load states of user's profile during the Azure migration process.
• Implemented various resources in Azure using Azure portal, PowerShell on Azure Resources Manager deployment models. Experience deploying infrastructure as code applications using ARM Templates (JSON).
• Deployed the code and provisioning the cloud Environments cloud tool like VSTS and Microservice.
• Performed regular Cron jobs updates and Configured Jenkins to implement nightly builds on daily basis and generated change log that include changes happened from last 24hours.
• Defined dependencies and plugins in Maven(Pom.xml)Java files for various activities and integrated Maven with GIT to manage and deploy project related tags and administrated Artifactory repository.
• Used Ansible inventories to define groups of hosts using Ansible templates to create customized files.
• Orchestration of Docker images and Containers using Kubernetesby creating whole master and node.
• Created, maintained and automated the scripts by using Groovy , BASH , PYTHON and RUBY.
• Involved in leading Automation Deployment team by working with Puppet and developed/managed Puppet manifest for automated deployment to various servers.
• Installed, developed and implemented Linux infrastructure, and managed Puppet Master , Agents & Databases.
• Maintained the monitoring and alerting of production and corporate servers using CloudWatch service and Site 24x7/Nagios and used CloudTrails to track.
• Created Log collection in ELK (Elastic Search, Logstash) installed on all nodes in cluster to send log data.
• Created and deployed web interfaces reporting on multi-platform automated builds and test suites (TFS build reporting, SharePoint Server, Cruise Control and IIS) experience using Agile Scrum methodology.
• Experience in knowledge of DB mirroring in SQL server and fail over clustering on high availability SQL server also responsible for SQL server edition upgrades and SQL server patch management.
• Review firewall policies on regular basis for compliance and ensure to follow best practice for firewall deployments using security Management tools.
• Troubleshooting Network, memory, Swap and File system issues, TCP/IP, NFS, DNS and SMTP in Linux Servers.

Environment: Aws, Azure, Redshift, GIT, Hudson, Jenkins, TFS, WebSphere, WebLogic, JBOSS, Apache, TOM CAT web services, Docker, EC2, S3, RDS, EBS, auto scaling, Opsworks, Kubernetes, Ansible, Puppet, Nagios, Jira, VMware Bash, Python and Ruby, Unix/Linux, Windows, RHEL 4/5/6, CentOS .