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Azure Kubernetes Administrator/devops Engineer Resume

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SUMMARY

  • Around 7+ years of experience in IT Professional and 5 years specialization in Cloud/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, SNS, SQS, Cloud Formation, EBS) focusing on high - availability, fault tolerance, and auto-scaling in Aws cloud.
  • Cost optimization for Aws services and build Serverless Architecture by using Lambda functions, STEP Function, Athena, Glue, S3, CloudWatch and Cloud Metrics.
  • 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 Azure Storage - 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.
  • Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure Automation tools like Git, Bitbucket, Maven, Jenkins, TeamCity, Chef, Ansible, Terraform, 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.
  • Setup automated build, test and release platform using TeamCity, Jenkins pipeline as a code, SonarQube and 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.
  • 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 and docker based cluster using 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 CI/CD 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)

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, GIT HUB, SVN, Bitbucket.

Configuration Management: Ansible, Chef, Puppet

CI/CD Tools: CloudBees Jenkins/Hudson, Team City, Maven, SonarQube, Nexus Artifactory.

Container Tools: Kubernetes, Docker, OpenShift

Monitoring Tools: Dynatrace, Grafana, Nagios, Splunk, 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 Kubernetes Administrator/DevOps Engineer

Confidential

Responsibilities:

  • Administrating and supporting company’s Azure kubernetes infrastructure, ensuring it is secure, resilient and performance and responsible for complete DevOps activities and coordinating with development team.
  • Working as Kubernetes Administrator, 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.
  • 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.
  • Implemented cluster services using Docker and Azure Kubernetes services (AKS) to manage local deployments in kubernetes by building a self-hosted kubernetes cluster using Jenkins CI/CD pipeline.
  • Drive end to end deployment of various components on the Azure cloud platform.
  • Developed Ansible playbooks to manage Web Applications, Environments configuration files, Users, Mount, points and packages. Implemented Continuous Integration using Jenkins and GIT.
  • Familiar with helm charts for deployment manager to use of charts and templates for listed file names.
  • Implemented Pod security policies (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, Jenkins Jobs .
  • Implemented HTTPS Ingress controller and use TLS certificate on AKS to provide reverse proxy, configurable traffic routing for individual Kubernetes services.
  • Moved all Kubernetes container logs, application logs, event logs and cluster logs, activity logs and diagnostic logs into Azure Event Hubs and then into Splunk for monitoring .
  • 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 Azure DevOps 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 CI/CD 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, Kubernetes, Docker, Ansible, Jira, Confluence, PowerShell Windows, IIS, Python, splunk, Grafana, Prometheus, Twistlock, istio, Jenkins, git, Ansible.

Senior Cloud Engineer

Confidential

Responsibilities:

  • Developed Cloud Infrastructure management and Implementation Working experience on Aws and Azure services.
  • Building and Installing servers through Azure Resource Manager Templates or Azure Portal. Migrating an On-premises virtual machine to Azure Resource Manager Subscription with Azure Site Recovery. setup and provisioned Aws Auto-Scaling in launching EC2 instances, IAM , Elastic Load Balancer , S3 , Glacier , Cloud Front , RDS , VPC , Route53 , Cloud Watch , SNS , EBS infrastructure as code using Terraform .
  • Defining and configuring CloudWatch alarms and triggers to implement auto scaling policies. Used AWS CLI for EC2 creations and S3 uploads and authenticated downloads.
  • Experienced in Provisioning of IAAS & PAAS Virtual Machines and Web\Worker roles on Microsoft Azure Resource Manager. Manage the Windows Azure infrastructure for our customers depends on their requirement.
  • Created PowerShell scripts for IIS website creation into various Environments . Written PowerShell script for automating the post release merges i.e., from the release branch to the master branch.
  • Built the pipeline in the TeamCity for fetching the content written in the Bitbucket so that a job can quickly run on it after every pull request made in the individual branches.
  • Written terraform code in order to attach the web servers and media servers to the target group of Application Load balancer and configured the DNS record for the load balancer.
  • Integrated the Bitbucket and Terraform in order to deploy the infrastructure in the Cloud environment written as terraform templates.
  • Experienced in Continuous Integration/Deployment with Azure Pipelines . Deployed the application in various environments like DEV , STAG , PERF , PROD using Octopus Deploy for various release versions.
  • Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation using TeamCity . along with Python and Shell scripts to automate routine jobs.
  • Designing, building, and supporting advanced cloud automation workflows and tools used to support automated CI/CD pipeline application deployments into AWS using Jenkins , Artifactory , Packer , and Terraform .
  • Good Knowledge in scripting languages like Unix Shell , bash , groovy , Python to automate the deployments.
  • Automated most of the daily tasks using Python scripts. Developed Wrapper in Python for instantiating multi-threaded application.
  • Created a dynamic horizontal scaling cluster management platform using Kubernetes to deploy Dockerized micro service containers. Worked on Deployment Automation of all micro services to pull image from Private ECR registry and deploy to Kubernetes Kops Cluster.
  • Expertise on Creating Multiple Ansible playbooks for auto-provisioning of test environments using Docker/Vagrant and auto deployment of artifacts.
  • Working for DevOps Platform team responsible for specialization areas related to CHEF for Cloud Automation.
  • Using Chef deployed and configured Elasticsearch , Logstash and Kibana ( ELK ) for log analytics, full text search, application monitoring in integration with CloudWatch.
  • Worked closely with security team on Alert Logic Threat manager, a SaaS solution that collects, process and analyzes client’s data and maintained monitoring the security on EC2 deployments.
  • Involved in scrum meetings, product backlog and other scrum activities and artifacts in collaboration with the team.
  • Proficient in documentation works, Requirement Specification (RS) and Test Case Preparation.

Environment: Aws, Azure, Terraform, Glue, lambda, TeamCity, Jenkins, Octopus, Kubernetes, Docker, Ansible, chef, Jira, Confluence, Bitbucket, MySql, PowerShell Windows, IIS, Apache Tomcat, Shell Script, Python, Linux, Alert logic, ELK.

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 Shell Automation.
  • 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 Azure IaaS 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 Cloud Pub/Sub services in Aws .
  • 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 CI/CD pipeline integrating various tool with CloudBees Jenkins 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.
  • 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.
  • Used Kubernetes to manage containerized applications using its node, Config Maps, selector, services and deployed application container as Pods.
  • 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 CI/CD 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 language also Contributed source code in Golang to developing an automation framework.
  • Configured commercial SSL certificates 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, Swarm, Jenkins, Ansible, Jira, Confluence chef, Git, Git-Hub, Maven, MemSql, PowerShell Windows, Terraform, JIRA, Apache Tomcat, Shell Script, Python, Linux, Dynatrace, Splunk.

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