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Sr. Azure Cloud Engineer Resume

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Plano, TX

SUMMARY

  • Around 7 years of substantial expertise automating, setting up, and deploying instances in cloud settings. CI/CD Pipeline, Build and Release Management, AWS/Azure, and Linux/Windows Administration expertise competent Confidential setting priorities and doing things promptly, but adaptable enough to multitask as required.
  • Experience in Kubernetes to deploy scale, load balance and manage Docker containers with multiple name spaced versions.
  • Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments.
  • Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.
  • Experience on automation, cloud infrastructure, release engineering, configuration management, and Devops. Ant, Maven, Jenkins, SVN, GIT, GitHub, Build Forge, CVS, Tomcat, Linux, and Amazon Web Services (AWS) are all included.
  • Worked on setting up Classic and Yaml based build and release Azure DevOps pipelines across multiple projects using git repos/Git by collaborating with developers as needed.
  • Configured and Implemented a CI/CD pipeline using Azure DevOps (VSTS/TFS) in both cloud and on - premises with GIT, MS Build, Docker,Maven along with Jenkins pipeline builds & YAML/JSON.
  • Extensive expertise working with a variety of AWS cloud services, including EC2, ELB, Auto Scaling, VPC, Route53, RDS, S3, IAM, SNS, SQS, Dynamo DB, Elastic search, and Cloud Watch. in-depth understanding of various cloud services, including Microsoft Azure.
  • Experience on the Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application Gateways, Auto-Scaling and Traffic Manager components of the Windows Azure IaaS.
  • Experience on AWS Cloud Formation, Code Deploy, Code Commit, Chef, EBS, and OpsWorks while migrating a production infrastructure to an AWS environment.
  • Set up and deploy the AWS Lambda service to run programs in response to events and manage resources automatically.
  • Elastic Search, Logstash, and Kibana (ELK) stack setup and teardown using Ansible. Work on creating all BEATS with all test cases to configure in dev and prod environments.
  • Using the ANSIBLE role, an ELK cluster was constructed for non-log uses, including product and price data analytics and search.
  • Made use of Centos and Ubuntu's Docker infrastructure to set up and control the spawning of application containers across various deployment scenarios.
  • Implemented bespoke Nagios monitoring, notifications, and dashboards to display various metrics using Shell Scripting and add-ons, allowing for the use of the Nagios tool and software for monitoring and evaluating the network loads on the individual servers.
  • Vast experience creating deployable artifacts using the construction tools MAVEN and ANT
  • Managed Docker orchestration and Docker containerization using Kubernetes.
  • Experience in building web apps with the ability to execute reliably on any system using containerization tools like Docker, and integration of elastalerts into a Kubernetes cluster.
  • Experience in integrating Jenkins with Docker container using Cloud bees Docker, Kubernetes pipeline plugin and provisioned the EC2 instance using Amazon EC2 plugin.
  • Resolved version conflicts in existing Terraform modules by converting them to use cloud creation during Terraform deployments in order to provide more control or capabilities.
  • Experience in Setting up the build and deployment automation for Terraform scripts using Jenkins.
  • Installed and set up the Chef Automate Server; deployed and configured the Common Vault Solution for Azure Blob storage; deployed and set up the Cisco CSR 1000v router in Azure; enabled IPsec VPN tunnel; and setup hybrid/AWS networking.
  • Using Chef Cookbooks with AWS for EC2/S3/Route53 and ELB, managed on-site OS/Applications/Services/Packages.
  • Expertise with tools including SVN, GIT, Perforce, Bamboo, Chef in all elements of the whole CM process.
  • Skilled Confidential managing the source code control of numerous development projects using the version control systems Clear Case, Subversion, TFS, GIT, and CVS.
  • Implemented Python, Powershell to build, test and deploy solutions in CI/CD environments.

TECHNICAL SKILLS

Cloud Environments: Amazon Web Services(AWS), Azure, Google Cloud Platform (GCP)

Virtualization: VMWare ESX/ESXi, Windows Hyper-V, Power VM, Virtual box, Citrix Xen

Operating Systems: Linux (Red Hat 4/5/6/7, CENTOS & SUSE), Solaris 11/10/9/8, HP-UX 11.0, 11.11, 11.23, 11.31, V1, V2 & V3, Ubuntu 12/13/14, Windows NT /2000/2003, DEBIAN.

Automation Tools: Jenkins, super market, compliance, Kitchen, chef solo, Habitat, compliance, Ansible, Docker, Vagrant, Terraform, Azure Devops

Web Servers: Tomcat, APACHE 2.x, 3.x, Ngnix.

Database: Cassandra, Redis, Aerospike, Oracle MySQL, MongoDB, AWS RDS, Aurora, DynamoDB.

Scripting languages: Perl, Python, Ruby, Bash shell, Power shell scripting, Groovy, PHP, Hashi corp, JSON

Monitoring Tools: Nagios, Sensu, New Relic, AppDynamics, Cloud Watch, Splunk, Jira, Nexus.

Version Control Tools: GIT, Subversion, CVS, Bitbucket, TFS

Application Servers: Web Logic Application server 9.x, 10.x, Apache Tomcat 5.x/7.x, Red Hat JBoss 4.22. GA Web Sphere 6.x/7.x/8.x

PROFESSIONAL EXPERIENCE

Confidential, Plano, Tx

Sr. Azure Cloud Engineer

Responsibilities:

  • Participated in the migration of on-premises systems to Azure and created Azure Backups and the Azure Disaster Recovery Environment using PowerShell scripts.
  • Used Azure Data Factory to export relational and semi-structured data from various sources and store it in its natural format in Azure Data Lake Stores.
  • Configured and implemented a CI/CD pipeline using Azure DevOps (VSTS/TFS) in both cloud and on-premises with GIT, MS Build, Docker,Maven.
  • Software Configuration Management and Azure DevOps/TFS Build Automation & Release Management.
  • Created and automated Azure Virtual Machines for auto-scaling, Virtual Networks, Azure Storage Containers, Load Balancers, Security groups, and AQS for various environments, such as QA and SIT, which will run on various VNets, using Terraform Templates.
  • Terraform-deployed Azure, Azure functions, and Data Lake Store infrastructure was converted to a server-less architecture.
  • In charge of preserving platform stability while transforming existing systems to infrastructure as code (Terraform).
  • Utilized the necessary DevOps tool chain, including Nexus OSS, SonarQube, Ansible, DTR management, and containerized open source ELK stack for digital applications, to implement CI/CD pipelines on Azure, including logging and monitoring of the systems.
  • Contributed to the implementation of Kubernetes with Docker to provide a framework for continuous integration, rolling updates, and automated deployment, scaling, and operation of application containers across clusters of hosts.
  • Produced repeatable builds for the Kubernetes apps, managed the Kubernetes manifest files, and oversaw Helm package releases. With Kubernetes, scheduled, deployed, and managed Container replicas into a node cluster.
  • Created and maintained Docker images for a tech stack that ran on Kubernetes and included Cassandra, KAFKA, and various Java services developed by the developer.
  • Using Ansible managed Ansible Playbooks with Ansible modules, implemented CD automation, orchestrated deployments for a variety of servers, and managed existing Tomcat and Webservers while automating the setup of new servers.
  • By integrating Ansible Tower with Jenkins, it was possible to deploy crucial apps fast, manage modifications, and use Ansible Vault to encrypt task files as needed.
  • Created Ansible scripts to automate system administration duties and procedures on managed hosts; playbooks to standardize task execution; centrally managed playbooks; and Ansible Tower web interface to implement repeating execution.
  • Created web logic domains, Cassandra DB installs, and other proprietary middleware installations in numerous pre-production settings using written Chef cookbooks and recipes.
  • Experience on the OpsCenter management tool and the Cassandra architecture.
  • Jenkins master/slave architecture was used to distribute builds across nodes, start Jenkins jobs that generated the maven artifacts, and deploy Terraform templates to build the stack.
  • In charge of preserving platform stability while transforming existing systems to infrastructure as code (Terraform). liable for reporting, alerting, dashboard development, testing, debugging, deployment, and maintenance of Splunk systems.
  • Supported more than 10,000 forwarders across several OS, including Linux, Solaris, and Windows, as the leading Splunk supporter.
  • Installed Dynatrace for application monitoring in production, used pure paths to find sluggish modules, and set up Dynatrace to produce individualized reports, dashboards, and email alerts.
  • Created automation scripts using Python Boto and Power Shell for archiving and relocating older log files to Azure Storage.
  • Work with the engineering and quality assurance teams to troubleshoot the build issue during the Jenkins build process and to fix system errors and inconsistencies.
  • Configured several workflows, tweaks, and plug-ins for Jira's bug/issue tracker while using it as a defect tracking system.

Environment: Azure, Kubernetes, Docker, Terraform, Jenkins, GIT,chef, Ansible, Maven, Nginx, Nexus OSS, SonarQube, ELK, KAFKA, Dynatrace, Apache Tomcat, Python, Power Shell, Windows/Linux.

Confidential, Denver, CO

Sr. Site Reliability Engineer

Responsibilities:

  • Services, including service design, network layout, data migration, automation, monitoring, deployments and cutover, documentation, overall plan, cost analysis, and schedule, were migrated from a managed hosting environment to AWS.
  • Designed and deployed a sizable application using practically the entire AWS stack, with a focus on high availability, fault tolerance, and auto-scaling in AWS Cloud Formation (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, and IAM).
  • Created AWS S3 buckets, did folder management in each bucket, maintained logs and objects in each bucket, and developed a Python script to load CSV files into the S3 buckets.
  • Created nightly AMIs for mission-critical production servers as backups and automated backups of ephemeral data stores to S3 buckets and EBS using the AWS CLI (Command Line Interface).
  • Created, modified, and improved production infrastructure using Terraform; maintained versioning infrastructure effectively and safely using in-house solutions.
  • To assure the deployment of web applications, Ansible roles implemented and designed AWS virtual servers.
  • Test Chef and Chef Spec adjustments to the Chef Cookbook on AWS cloud instances while collecting node attribute data.
  • I worked with ChefDK, a company that carefully crafts cookbooks and recipes.
  • Developed Python and shell scripts for automation of the build and release process.
  • Used Kubernetes to create clusters, and worked on authoring Yaml files to create several pods, replication controllers, services, deployments, labels, health checks, and ingress.
  • Helm-managed Kubernetes charts, monitored Helm package releases, produced repeatable builds of the Kubernetes apps, and maintained the Kubernetes manifest files.
  • Automated Docker-based Elastic Container Service-based application deployment in the cloud. Jenkins was used to build and maintain a Docker deployment pipeline for unique application images.
  • Using a Docker file, I was able to create Docker images, operate on Docker container snapshots, delete images, and manage Docker volumes.
  • Setup Jenkins Monitor, List, and Build views to show chosen jobs' status and progress along with build version details.
  • Responsible for installing Jenkins master and slave nodes and configuring and managing Jenkins pipelines for automated builds.
  • Proposed branching techniques for GIT, Stash, GitHub, and Subversion version control systems.
  • Used Windows PowerShell, Shell, Python, and Ruby for configuration management and task automation.
  • Experience working with relational (PL/SQL, Oracle), non-relational (Mongo), document-oriented (MongoDB), and Oracle RAC databases.
  • Collaborated with administrators to make sure Splunk is accurately running, monitoring, and running actively on the present infrastructure implementation.

Environment: AWS, Terraform, Cloud Formation, Lambda, ELK,Chef, Docker, Kubernetes, Maven, ANT, GIT, SVN, JIRA, Confluence, Shell Scripting, Jenkins, Splunk, Linux, PHP, Python, Node.js, Ruby, Java, Apache, Nginx, WebLogic RHEL, CentOS.

Confidential, VA

Devops Engineer

Responsibilities:

  • Designed cost-effective, fault-tolerant, and highly available systems using many AWS instances, security groups, elastic load balancing (ELB), AMIs, and auto scaling.
  • Extensively worked on transferring on-premise data center programs like PHP, Python,.Net, etc. to AWS Cloud.
  • Configure and construct AWS infrastructure using Cloud Formation JSON templates for resources such VPC EC2, S3, IAM, EBS /Provisioned IOPS, Route 53, Security Group, and RDS.
  • Developed continuous integration, deployment by creating pipelines that automated builds and deployments to numerous environments using VSTS/TFS/Bamboo on Azure DevOps project.
  • Investigated and put into practice an Agile work process for Jenkins-based Continuous Integration (CI) and application testing. Experience on Apache for automating routine tasks
  • Played a significant role in putting up the CI/CD pipeline using AWS, GitHub, Maven, Nexus.
  • Created and Modified Chef Cookbooks as a Provider of Lightweight Resources (LWRP).
  • I worked on integrating SVN, Jenkins, and Git into the Continuous Integration (CI) system..
  • Possess familiarity with source code editors that integrate with Git plugins, such as Visual Studio, Atom, and NetBeans.
  • Using AWS-CLI to set up CRON Jobs for the daily download of essential service backups to on-premise.
  • Configured and networked Virtual Private Cloud; used S3 bucket and Glacier for storage and backup on AWS (VPC).
  • Skilled in using scripting languages like Python, Shell, UNIX shell, Ruby, Perl, and PowerShell to build and deploy custom automation solutions. I have used and managed artifact tools like Artifactory and Nexus.
  • Set up the ELK (Elasticsearch, Logstash, and Kibana) stack with AWS and use Logstash to send data to AWS S3. Setting up Git repositories, branches, and tags, as well as helping developers.
  • Experience on user admin groups, account maintenance, and Nagios and Splunk performance monitoring.

Environment: AWS, lambda, ELK, Chef, Cloud Formation, MCollective, Hiera, Splunk, Jenkins, ANT, MAVEN, vRealize, kickstart, Git, visual studio, NetBeans Nagios, Jira, CloudWatch, Python, Shell.

Confidential, Brookfield, WI

Build & Release Engineer

Responsibilities:

  • Creating build and deployment scripts in Jenkins that use ANT and MAVEN as build tools to switch between different environments for continuous integration.
  • Using Jenkins & uDeploy, CI/CD was implemented for the J2EE, SOA, and Micro Services Architecture Environment (NodeJS,.Net Core, Zookeeper, Kafka, Redis).
  • Experience on various Azure services like Compute (Web roles and Worker roles), Caching, Storage, SQL Azure, NoSQL, Network Services, Azure Active Directory, Scheduling, Auto scaling and PowerShell Automation.
  • Migrated servers, Databases and Applications trom Microsoft Azure to AWS .
  • Created terraform scripts from scratch for building Dev, Staging, Prod and DR environments
  • Proficient with SCM technologies including GITHub, Subversion (SVN), Atlassian, GIT lab, and TFS on Linux and Windows platforms for branching, tagging, and managing version control systems across environments.
  • Fixing SAN connectivity issues on several operating systems, including Windows, Linux, VMware, and Solaris.
  • Created JUnit test cases for functional, integration, and unit tests that Hudson/Jenkins would execute automatically as part of the builds that were sparked by each push to GIT.

Environment: & Tools: AWS, Git, Jenkins, WebLogic Server, Terraform, Docker, Virtualization, JBoss.

Confidential, St.Louis, Missouri

Linux Administrator

Responsibilities:

  • Custom LAMP (Linux, Apache, MySQL, Python/PHP) optical system and interface circuitry development.
  • On Solaris 9/10/11, RHEL 5.x/6.x, and Ubuntu, create and manage user and group administration and access privilege settings with SUDOERS.
  • Took part in the development of Docker consoles and containers for controlling the life cycle of applications. worked on a variety of Docker components, including the Docker Registry, Hub, Machine, and Compose.
  • Support for numerous client Linux-based applications like Apache Tomcat and Java-based apps.

Environment: & Tools: Red Hat Linux 7.x, Windows, AWS, Git, WebLogic Server 11g.

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