We provide IT Staff Augmentation Services!

Sr. Aws Devops/cloud Engineer Resume

3.00/5 (Submit Your Rating)

New, JerseY

SUMMARY

  • Over 9+ years of work experience comprising Software Configuration Management (SCM), 5+ years of experience in DevOps Build/Release Management, Change/Incident Management and Cloud Management. and 4years of experience in Linux Systems Administration,
  • Primary duties include automating processes to achieve CI/CD for deploying various applications by integrating tools like GIT, Jenkins, Maven, Apache, Docker, Chef/Ansible, Jira, Nexus various testing frameworks like Junit, various app servers like WebLogic/WebSphere/JBoss along with establishing within the Enterprise to move code across Dev, QA, SIT, Stage and Prod Environments.
  • Experienced in working on both On - Premise and Cloud (AWS) platforms utilizing DevOps/Agile operational processes.
  • Expertise in AWS Cloud utilizing various services like EC2, VPC, ELB, Auto-Scaling, Security Groups, Route53, IAM, EBS, AMI, RDS, S3, SNS, SQS, CloudWatch, CloudFormation, CloudFront & DirectConnect and other services of AWS family.
  • Built and configured a virtual data center in the AWS cloud to support Enterprise Data Warehouse hosting including (VPC), Public & Private Subnets, inbound & outbound Security Groups, Route Tables, and Elastic Load Balancer.
  • Used AWS lambda to run servers without managing them and configured to trigger, to run code using S3 and SNS.
  • Designed highly available, cost effective and fault tolerant systems using multiple EC2 instances, Auto Scaling, Elastic Load Balance and AMIs and Glacier for QA and UAT environments as well as, infrastructure servers for GIT and Chef.
  • Designed and distribution of data across all the nodes and Clusters on different availability zones in AWS Redshift and experienced in automating the infrastructure using Terraform in AWS console.
  • Performed application migration to Docker and containers for various projects and established the use of Blue/Green Deployments, Load Balancers and AWS EC2 spot instances.
  • Experience in creating dashboards in Google Stackdriver. Can setup alerting and create custom metrics using Google API developer tools.
  • Hands-on Experience Administrating Microsoft Azure Services like Azure App Services, Azure SQL Database, Azure AD, Azure Azure Active Directory Blob storage, Azure Functions, Virtual machines, Azure Fabric controller, Azure Data Factory, Azure web applications, Azure Service Bus, and Notification hub.
  • Experience in designing Azure Resource Manager (ARM) Template to deploy multiple resources as well as in designing custom build steps using Power Shell and Developed PowerShell scripts and ARM templates to automate the provisioning and deployment process.
  • Seasoned in Configuring AzureAutomation Desired State Configuration (DSC) configuration management to assign permissions through Role-Based Access Control (RBAC), assign nodes to proper automation accounts and DSCconfigurations, to get alerted on any changes made to nodes and their configuration.
  • Expertise in Designing and implementing Continuous Integration (CI) throughout many environments utilizing Azure DevOps tools to provide an agile development process that is automated and repeatable, allowing teams to safely deploy code several times per day while ensuring Azure Kubernetes Services (AKS) are supported.
  • Well versed in using Azure Infrastructure as a Service (IaaS), Provisioning VMs, Virtual Networks, Deploying Web Apps, Microsoft SQL Server, using ARM Templates, and Azure DevOps CI/CD pipelines.
  • UsedJenkinsPipeline (Pipeline as code) withJenkinsfilefor many CI/CD Deployments.
  • Worked with Chef Enterprise Hosted as well as On-Premise, Installed Workstation, Bootstrapped Nodes using Knife, wrote Recipes and Cookbooks, and uploaded them to Chef-Server.
  • Well versed with many different concepts of Chef like Roles, Environments, DataBags, Knife, Chef Server Admin/Organizations.
  • Worked extensively on Ansible automation engine that automates cloud provisioning, configuration management, application deployment, Intra-service orchestration, and many other IT needs.
  • Experienced in developing Ansibleroles and AnsiblePlaybooks for the server configuration.
  • Experience in working with GIT to store the code and integrated it to Ansible Tower to deploy the playbook.
  • Experienced in using Tomcat, JBOSS, WebLogic and WebSphere Application servers for deployment.
  • Expertise in Querying RDBMS such as Oracle, MySQL and SQL Server by using PL/SQL for data integrity and proficient in multiple databases likeMongoDB, Cassandra, MySQL, PostgreSQL, ORACLE.
  • Worked with different Bug tracking tools like JIRA, Rally, Remedy, HP Quality Center and IBM Clear Quest.
  • Strong comprehension of central advancements like DNS, Load Balancing, SSL, TCP/IP, system administration and security best practices and capable chipping away at Windows Active Directory, DNS, DHCP.
  • Experience in System Administration on various platforms which includes Red hat Linux, Solaris, SUSE Linux, CentOS, Windows environments, VMware ESX/ESXi and VMware vSphere.

TECHNICAL SKILLS

AWS Services: RDS, EC2, VPC, IAM, Cloud Formation, EBS, S3, ELB, Auto Scaling, Cloud Trial, SQS, SNS, SWF, Cloud Watch.

Cloud Platforms: Microsoft Azure, Aws Cloud.

Azure Services: App Services, Key vault, function app, Blob storage, Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR) and Azure Kubernetes service (AKS), Azure SQL, Azure Cosmos DB.

Version Control Tools: GIT, Bit bucket

CI/CD: Jenkins, Azure Pipelines

Configuration & Automation Tools: Anisble

Container Platforms: Docker, Kubernetes, Open Shift.

Monitoring Tools: Nagios, Splunk

Languages: Python, Shell scripting, AWS Cloud

Artifactory: Jfrog and Nexus

Web Servers: Nginx

Documentation: Confluence

Operating Systems: Microsoft Windows XP/ 2000, Linux, UNIX.

Tracking Tools: Jira

Code Scanning: Sonar Qube, Jfrog X ray, ECR Inspector

Databases: RDS, Cosmos DB, My SQL DB.

Logging: Cloud Watch, Cloud Trail, Azure App Insights, Azure Monitor

PROFESSIONAL EXPERIENCE

Confidential, New Jersey

Sr. AWS DevOps/Cloud Engineer

Responsibilities:

  • Worked on Amazon AWS EC2 cloud services for installing, configuring and troubleshooting on various Amazon images like Amazon Linux AMI, Redhat and Ubuntu.
  • Configured S3 versioning and lifecycle policies to backup files and archive files in Glacier.
  • Created Python scripts to totally automate AWS services which includes web servers, ELB, Cloud Front distribution, database, EC2 and database security groups, S3 bucket and application configuration, this script creates stacks, single servers, or joins web servers to stacks.
  • Used the orchestration framework Kubernetes to deploy production-scale fleets of dedicated servers in containers and simplified the configuration management.
  • Maintained DNS records using Route53. Used Amazon Route53 to manage DNS zones and give public DNS names to elastic load balancers IP’s.
  • Implemented cloud migration strategies, defining delivery architecture, creating the migration plans, designing the orchestration plans, and more. Assist in creating and executing of migration run books.
  • Used AWS Server Migration Service (SMS) to automate the migration of on-premises VMware vSphere and Hyper-V virtual machines to the AWS Cloud.
  • Deployed AWS SMS connector onto VMware Vcenter and configured a Vcenter service account role to get catalogue information in the VMware Data center onto AWS console for Migration.
  • Created a Jenkins plan for launching the AWS infrastructure using Terraform and written Ansible recipes for installing some agents like CloudWatch, on to the newly launched EC2 instances.
  • Deployed and configured Elastic search, Log stash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.
  • Auto scaling of Web Application instances based on the Cloud watch alarms during sudden increase in network traffic.
  • Automated EBS snapshots job (daily and monthly) based on TAG on EBS volume using AWS CLI tool.
  • Created Docker Images using a Docker file, worked on Docker Container Snapshots, removing images and managing Docker Volumes deployed using kubernetes.
  • Written Kubernetes deployment YAML files of microservices, replication controllers, Helm charts, Scheduler.
  • Created Ansible playbooks for apache tomcat to deploy static and dynamic content.
  • Integrated Ansible Tower with Jenkins to deploy code to different servers to build auto scaled systems.
  • Maintained the log archives using CloudWatch, Nagios, Splunk and LogStash.
  • Logging Server Remotely using NGINX proxy server. To achieve Continuous Delivery goal on high scalable environment, used Docker coupled with load-balancing tool Nginx.
  • Used Ansible Playbooks to Setup/teardown of ELK stack (Elastic Search, Log stash, Kibana).
  • Experience customizing JIRA projects with various schemas, complex workflows, screen schemes, permission schemes, and notification schemes.
  • Experience in writing various Automation Scripts to automate manual tasks, deploy applications, application build scripts/versioning etc. using languages like Shell, Perl and Python based scripting.

Confidential, SFO, CA

Azure DevOps/Cloud Automation Engineer

Responsibilities:

  • Worked Extensively on Configuring and Provisioning of Virtual Machines, Storage accounts, App Services, Key vault, Virtual Networks, Azure SQL Database, Azure Search, Azure Data Lake, Azure Data Factory, Azure Blob Storage, Azure Service Bus, Function Apps, Application Insights, Express Route.
  • Have Worked on Setting up Azure Monitor Dashboard for various Azure Services by enabling Diagnostic settings and writing queries in Log Analytics Workspace to send the logs to Azure storage accounts and stream the logs to Azure Event Hubs.
  • Data was transferred from On-Premises SQL Database servers to Azure SQL Database servers via Azure Data Factory Pipelines created with the Azure Data Factory copy tool and Self-Hosted Runtimes.
  • Created and maintained Continuous Integration (CI) using tools Azure DevOps (VSTS) over multiple environments to facilitate an agile development process that is automated and repeatable, enabling teams to safely deploy code in Azure Kubernetes Services (AKS) using VSTS by YAML scripting.
  • Worked on Integrating Azure-DevOps Boards with Microsoft Teams and Pipelines for Notifying Sprint Boards and Teams respectively.
  • Performed Azure Scalability configuration that sets up a group of Virtual Machines (VMs) and configures Azure Availability and Azure Scalability to provide High Application Availability and can automatically increase or decrease in response to demand.
  • UsedAzureKubernetes Service (AKS) to deploy a managed Kubernetes cluster inAzureand created an AKS cluster in theAzureportal using template-driven deployment options such as Azure Resource Manager (ARM) templates and terraform.
  • Used Azure Kubernetes Service (AKS) for Implementing Jenkins pipelines into Azure pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods, and managed them.
  • Maintained Bitbucket Repositories, including Jenkins for integration, building new repositories, enabling GIT to ignore, branching, merging, creating pull requests, and Bitbucket and JIRA access control schemes.
  • Involved in integrating Azure Log Analytics with Azure VMs for Monitoring, Storing, tracking Metrics, resolving and investigating Root cause issues.
  • PowerShell runbooks were written and deployed to Automation Accounts using CICD Azure DevOps. PowerShell scripts were also written to make API calls to Azure DevOps and find Users who had not accessed Azure DevOps in more than 90 days.

Confidential, Englewood Cliffs, NJ

DevOps Engineer

Responsibilities:

  • Working on multiple AWS instances by setting services like Route53, SES, SQS, SNS and created and administered DNS system using Route53.
  • Worked with full AWS stack (Lambda server-less, IAM, Blue-Green deployment).
  • Provisioned the highly available EC2 instances using Terraform and Cloud Formation and wrote new plugins to support new functionality in Terraform.
  • Managed AWS infrastructure as code using Terraform.
  • Researched and developed scalable Linux deployments on AWS via CoreOS and Docker and used Docker Compose to develop dependent instances to be deployed in the EC2 platform.
  • Designed and worked with team to implement ELK (Elastic search, Log stash and Kibana) Stack on AWS.
  • Created AWS RDS MySQL DB cluster and connected to the database through RDS MySQL DB Instance using the Amazon RDS Console.
  • Used Terraform in AWS VPC to automatically setup and modify settings by interfacing with control layer.
  • Experience with S3 Bucket services like creating buckets, managing policies, configuring buckets with permissions, logging, versioning and tagging and used S3 Bucket and Glacier for storage and backup on AWS.
  • Worked on AWS Cloud Watch for monitoring the application infrastructure and used AWS email services for notifying & configured S3 versioning and lifecycle policies to and backup files and archive files in Glacier.
  • Worked on migrating the on-premises application from its physical Storage Racks to AWSby using EC2, S3.
  • Migratedthe on-premises MySQL databases to AWS Dynamo DB by using EC2, RDS and Unmanaged cloud data migration tools like S3 CLI and Glacier Vault.
  • Served application data using Lambda functions to store data in NOSQL database Dynamo DB. Configured REST API's using API Gateway that hit lambda which in turn invokes lambdas to do necessary operations.
  • Installed Redshift on AWS and imported the legacy datafrom Oracle to Redshift.Participated in integration of applications with existing API’s.
  • Implemented and maintained Ansible configuration management spanning several environments in VMware and AWS cloud.
  • Participated in GitLab POC and migrated all repos from GitHub to GitLab.
  • Integrated GitHub and GitLab, Gradle with Jenkins to implement the continuous integration process.
  • Worked on Groovy Scripting for automating build & Deployment process.
  • Responsible for working on several Docker components like Docker Engine, Docker Hub, Docker Compose, Docker Registry and Docker Swarm.
  • Experienced with release engineering, configuration management in Tomcat web application environment and worked on issues like heap, non-heap memory and designed application for Mobile UI & responsive websites.
  • Having good knowledge on Prometheus tool for monitoring data base systems.

Confidential, San Diego, CA

DevOps Engineer

Responsibilities:

  • Worked with AWS services like Glacier, ELB (Elastic Load Balancer), RDS, SNS, SWF, Lambda, IAM and hands on experience with Amazon Web Services provision.
  • Worked on managing DNS zones using Route 53 and gave public DNS names to elastic load - balancers.
  • Designed AWS Cloud Formation template to create custom sized VPC, Subnets, NAT to ensure successful deployment of web applications and database templates.
  • Worked on Elastic Beans talk for quick deployment of services like EC2 Instances, Load Balancer and databases on AWS environment.
  • Worked on creating Docker Containers and Docker registry for managing the application life cycle.
  • Developed Docker containers for testing the selenium scripts for the admin console and successfully integrated the automated tests on Docker for performing Continuous Integration.
  • Used MySQL, Dynamo DB and elastic cache to perform basic Data Base administration.
  • Worked on Docker container snapshots, attaching to a running container, removing images and managing containers.
  • Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments.
  • Worked on Multiple AWS instances, set the security groups, Elastic Load Balancer (ELB) and AMIs, Auto-scaling to design cost effective, fault tolerant and highly available systems.
  • Implemented cloud services IAAS, PAAS, and SaaS which include Open stack, Docker and Open Shift.
  • Worked on NoSQL database Dynamo DB to process large data documents.
  • Migrated the production SQL server schema to the new AWS RDS Aurora instance. Wrote SQL queries and worked on administration for optimizing and increasing the performance of database.
  • Experience in using Cloud Formation templates to provision and auto deploy EC2instances and integrated with Chef Recipes to deploy web services.
  • Managed to develop a Continuous Deployment/Continuous Integration environment using GIT, Bit Bucket, Jenkins, Chef, Maven and Docker to complete automation from commit to deployment.
  • Worked on JIRA with Jenkins to automate the weekly build process. Used JIRA workflows to automate deployment and issue tracking.
  • Integrate with Jenkins for CI/CD pipeline with GIT.
  • Created build and deployment jobs in Jenkins for various components.
  • Worked on creating python scripts to deploy applications from Jenkins to remote server.
  • Configured, installed and maintained Nginx web server.
  • Managed extensive use of Ansible, GIT to manage build/deploy tasks including continuous integration.
  • Worked on uploading code in GitHub and generating build number using Team city.
  • Worked on version control tools like GIT, Subversion and software build tools like Maven to enable continuous delivery into several environments of development, test and production.
  • Able to create Python and Bash scripts for system administration and automation like transferring files among servers.

Confidential

Linux System Admin/Engineer

Responsibilities:

  • Created VM images through VMware vSphere Client for enterprise environments and support virtualization process.
  • Involved in creating v Switches and created different ports groups for different purposes.
  • Creating and managing the VMware cluster with HA and DRS.
  • Experience in administering Windows servers 2003/2008/2012 and building new windows physical/virtual servers as per the requirement of the project.
  • Involved in troubleshooting the DNS, DHCP, IIS and Active directory.
  • Good experience on Ruby withChefAutomation tools.
  • Deployed and configured 2008 and 2012 R2 on virtual and physical platforms.
  • Built VMWare ESXi hosts from version 5.5,6.0 on Dell& Cisco UCS blade and rackmount servers.
  • Worked and managed DNS and DHCP servers to create forward and reverse DNS records, and also to create and configure DHCP scopes and DHCP reservations.
  • Responsible in using BMC Remedy System for incident, change and problem management.
  • Created newVMwarevirtual machines to meet the specifications provided by the Client.
  • Configured v Motion for Hardware Resource Management.
  • Troubleshooting the Hung VM Sessions on ESX Host and sending the files toVMwaresupport for resolutions.
  • Installation, configuration and up-gradation of Windows servers 2008R2, 2012 and 2012R2 VMs’.
  • Created & Implemented Host profiles for Multiple Hosts & added FC LUNs as Datastores to multiple ESXi hosts.
  • Experience with vSphere6.0 features like HA, DRS, v Motion, Storage v Motion, Resource pools, permissions, Patches, Snapshots, Tools Upgrade, disk expansions and templates.
  • Used Kubernetes to deploy scale, load balance, scale and manage docker containers with multiple names spaced versions.
  • Worked on a vSphere Hardening initiative including Patch, Configuration, Compliance, and Operational Management including automation and orchestration methods for securing the virtual infrastructure.

We'd love your feedback!