Devops Engineer Software Development

Priya M

+1-910-***-**** ***********@*****.*** www.linkedin.com/in/priyam2310

Professional Summary

A Cloud enthusiastic team player having 9 years of experience in IT industry as a DevOps Engineer with proved experience in Automation, build/Release Engineering and Software development involving cloud computing platforms like Amazon Web Services (AWS), Azure and Google Cloud (GCP).

Extensively worked on Azure IaaS, PaaS, Provisioning VM's, Virtual Hard disks, Virtual Networks, Deploying Web Apps and creating Web-Jobs, Azure Cosmos DB, Active Directory, Azure Windows server, Microsoft SQL Server, Microsoft Visual Studio, Windows PowerShell, Cloud infrastructure.

Expertise in Azure infrastructure management Azure Web Roles, Workers Roles, SQL Azure, Azure Storage, Azure AD Licenses, VM Backup & Recover from a Recovery Services Vault using Azure PowerShell and Portal.

Proficient in AZURE, Migration of all servers from on-premises to Kubernetes containers & writing the scripts in Perl and Shell Scripts for managing various enterprise applications.

Experience in Designing, Architecting and implementing scalable cloud bases web applications using AWS and GCP.

Set up a GCP Firewall rules in order to allow or deny traffic to and from the VM’s instances based on specified configuration and used GCP cloud to deliver content from GCP cache locations drastically improving user experience and latency.

Worked in strategy and practical implementation of AWS Cloud services which include EC2, EBS, S3, S3 Glacier, Storage Gateway, VPC, Route 53, RDS, ELB, EMR, ECS, Cloud Front, Cloud Formation, Elastic Cache, Cloud Watch, CloudTrail, RedShift, Lambda, AWS Elastic Beanstalk, SNS, Dynamo DB, SES.

Mastered with AWS Cloud computing and involved in creating AWS instances and deployed Linux and Ubuntu on AWS environment and Expertise in migrating applications onto AWS.

Competence in AWS Deployment services such as AWS Cloud formation, Terraform and AWS Elastic Beanstalk to the quick and efficient deployment of application infrastructure.

Experience with 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.

As an SRE experience ensure 100% availability of Applications and ensure its performance and functionalities available as defined by means of scaled up the resources with enough capacity, well defined alerts/monitoring.

Strong experience with CI/CD Continuous integration and Continuous deployment methodologies with Jenkins.

Expertise in Terraform for creating stacks of VPCs, ELBs, Security groups, SQS queues, S3 buckets in AWS and updated the Terraform Scripts based on the requirement on regular basis.

Expertise in deep development/enhancement of OpenStack components such as Nova, neutron, designate, Cinder, Swift, Image, Horizon & Identity, and Ceilometer.

Expertise in PCF architecture and design, troubleshooting issues with platform components, and developing global/multi-regional deployment models and patterns for large-scale developments/deployments on Cloud Foundry.

Expertise in creating Docker containers and building Docker images and pushed those images to Docker registry and Deploying and maintaining Micro services using Docker.

Deep knowledge and hands on experience of OpenShift including setting up OpenShift cluster (OCP), managing clusters, creating and managing pods, deployments, application management, rolling updates, exposing using services & routes, volumes. Responsible for automating the build and deploy process with Jenkins.

Implemented microservices, application development, and migration using AWS/Azure services such as Azure DevOps, Kubernetes Service (AKS), Container Registry, Cosmos DB, and Grafana, Azure pipelines, Monitor, RBAC, AWS Kubernetes EKS and Kubernetes API to run workloads on EKS Clusters.

Hands-on in using Kubernetes to orchestrate the deployment, scaling and management of Docker Containers and Managed local deployments in Kubernetes, creating local cluster and deploying application containers.

Proficient in Configuring the Kubernetes provider with Terraform which is used to interact with resources supported by Kubernetes to create several services such as Config Map, Namespace, Volume, Auto scaler.

Experience working with Ansible tower. Integrating Ansible tower with Jenkins to deploy code to AWS and Azure cloud environments.

Extensively worked on integrating GIT into the Continuous Integration (CI) environment along with Jenkins.

Experience in implementing a CI/CD pipeline with Docker, Jenkins and GitHub like when new GitHub branches are created Jenkins automatically attempts to build a new Docker container from it.

Written python scripts to containerize using Dockers and orchestrate it using Kubernetes. Configured the services using modern DevOps tools like Ansible.

Experience in analysing the Logs and troubleshooting issues in integration of other applications using identity management tools LDAP and Web server agents.

Expertise in using Maven and Ant as build tools for building deployable artifacts like JAR and WAR from the source code and code analysis using SonarQube.

Experience in managing the repository manager like Nexus for the Maven builds. Integrated Maven with Jenkins by which the Sure-fire test reports and Javadoc produced by Maven are captured and to build parallel modules.

Hands-on in creating scripts from scratch to automate tasks using bash shell scripting and python scripting and wrote Python modules to view and connect the Apache Cassandra instance.

Technical Skills

Cloud Technologies: Microsoft Azure, AWS, GCP, OpenStack, PCF

Continuous Integration: Jenkins, BLoudBees, Bamboo

Container Technologies: Docker

Orchestration Tool: Kubernetes, Docker Swarm, OpenShift

Versioning Tools: GitHub, Bitbucket, SVN

Build Tools: ANT, Maven, Gradle

Scripting: PowerShell, Python, Groovy

Configuration Management: Ansible, Chef, Puppet, Terraform

Monitoring Tools: Splunk, Nagios, Grafana, Datadog

Bug Tracking Tools: Jira, Confluence

Operating Systems: RHEL, Ubuntu, Solaris, Windows7,8,10

Databases: MySQL, MongoDB

Application Servers: Apache Tomcat, Oracle WebLogic11g, WebSphere, Sun

Web Technologies: HTML5, CSS3, JavaScript, JSON

Certification

AWS Certified Developer Associate

Chef Fluency

Education

Master of Science (Information Systems and Security) from University of the Cumberland - 2017

Post-Graduation in Computer Science from Krishna University - 2015

Bachelor of Computer Science from Acharya Nagarjuna University- 2012

Professional Experience

DevOps/Cloud Platform Engineer

Client: BP, Houston, TX (REMOTE) March 2022- Present

Responsibilities:

Involved application migration from private cloud to public cloud (Azure and GCP migration) and working hybrid environment between Azure and Google Cloud Platform.

Implemented Enterprise Integration architecture using Azure Service Bus, Azure AppService, Azure Active Directory, Storage, Hybrid connection manager, Azure active directory authentication for Azure SQL server and other offerings by Azure.

Worked on Azure Site Recovery and Azure Backup – deployed instances on Azure environments and data centers and migrating to Azure using Azure Site Recovery and collecting data from all Azure Resources using log analytics and analyzed the data to resolve issues.

Working on GCP services like compute engine, cloud load balancing, cloud storage, cloud SQL, Stack driver monitoring and cloud deployment manager.

Experience on setting up GCP firewall rules to allow or deny traffic to and from the VM’s instances based on specified configuration and used GCP cloud to deliver content from GCP cache locations significantly improving user experience and latency.

Experience in development and management of complete cloud infrastructure using Terraform and Cloud formation templated as Infrastructure as a Code for Azure and GCP.

Worked with SRE’s to understand their application requirements and develop container images based on Docker and Terraform platform.

Experience in setting up Kubernetes clusters for running microservices and pushed microservices into production with Kubernetes backend infrastructure.

Provisioned and configured Azure Kubernetes Service (AKS) clusters to enable scalable container orchestration. Managed AKS resources using Azure CLI, PowerShell, and the Azure Portal.

Managing Kubernetes charts using helm and created reproducible builds of the Kubernetes applications, provide a set of configuration parameters to customize the deployment and managed releases of helm packages.

Build Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on Google Cloud Platform (GCP). Utilized Kubernetes and docker for the runtime environment of the CI/CD system to build, test deploy.

Configured Kubernetes to manage containerized applications using its nodes, Config-Maps, selector, Services and deployed application containers as Pods.

Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deploying application containers.

Designed and maintained Jenkins-based CI/CD pipelines for automated build, test, and deployment. Reduced deployment time by 60% by implementing GitHub Actions for microservices deployment.

Working in Migrating on-premises applications to Azure and configure VNets and Subnets as per the project requirements also performed PowerShell scripting to do Patching, Imaging and Deployments in Azure.

Extensively working on applying security patches and recommending necessary security fixes for the Azure Virtual Machines and Automated deployments, upgrades, and backups of the Virtual Machines.

Managing Windows servers, troubleshooting IP issues and working with different support teams and remote login to Virtual Machines to troubleshoot, monitor and deploy applications.

Creating and maintaining Hybrid Worker Group on Azure and creating automation runbooks with PowerShell script for the Hybrid Worker Group Virtual Machines.

Implemented automation scripts for routine tasks, reducing manual efforts and enhancing platform reliability.

Implementing and Developing Azure Automation accounts with different Runbooks using PowerShell script and Azure Automation Runbooks focused around automating daily tasks and quickly implementing time intensive requirements.

Created and used Ansible Playbooks to automate repetitive tasks, quickly deploy critical applications including Windows and Linux security patches using Ansible Playbooks.

Created complex PowerShell scripts to automate cloud infrastructure provisioning and management in Azure environments and used PowerShell scripting for continuous integration and continuous deployment (CI/CD) pipelines in Azure DevOps.

Set up build environment integrating with Git and Jira to trigger builds using Webhooks and Slave Machines by integrating Docker container-based test infrastructure to Jenkins CI test flow.

Managed JFrog Artifactory as a universal package repository for storing and managing artifacts across multiple environments and automated artifact management using JFrog CLI, REST APIs, and Azure DevOps Pipelines.

Monitored and optimized Artifactory performance using JFrog Mission Control and Azure Monitor.

Worked on Nagios for server monitoring, also used Net Scalar and monitoring tools like Nagios for Loadbalancing and controlling flow of traffic and used Nagios log server for network device log collection, network device log visualization, Nagios network analyzer for net flow collection and analysis of IP transactions.

Worked on DataDog and Grafana as a monitoring tool for daily monitoring production servers and created dashboards and alerts for monitoring and maintaining the performance of all appliances.

Experience on working with SNOW tickets and supporting production release and activity, also have knowledge of production support processes, using ServiceNow for Incidents/Change/Problem Management and Ticketing workflow.

Designed and developed cloud specific security policies and procedures for vulnerability tools like Qualys.

Incident Response - Troubleshoot and resolve owned process and applications and provide root cause analysis to prevent future re-occurrence.

Involved in resolving P1, P2 priority issues and 24x7 application and production support and resolved issues by logged into servers using Jump servers when the server shutdown happened.

Worked and experienced on documentation, testing tirtualization and evaluate new features, evaluate functionality, Work on Proof of Concept, Research new features, Support for new features in client environment and experience working in SRE model with focus on automation and application stability.

Environments: Microsoft Azure, Microsoft Azure Storage, Hybrid Worker Groups, Active Directory, Azure Active Directory, Nasuni, Automation Runbooks, PowerShell Scripting, JFrog, Grafana, Nagios, ServiceNow, Windows Server 2012/R2/2013/2019, Windows 10.

Sr. CI/CD & Cloud Engineer

Client: Optum United Health Group, Cary, NC March 2021 - December 2021

Responsibilities:

Experience working with RedHat OpenShift Infrastructure design, deployment, and operational support and working on managed, deployed and maintained applications on Red Hat OpenShift Container Platform.

Maintain and enhance automation to support setup and provisioning of new projects in OpenShift Containerization Platform (OCP) and OpenShift upgrades and perform regular health checks and version details on environments.

Managing the OpenShift cluster that includes scaling up and down the app nodes and works to continuously improve speed, efficiency, and scalability of OpenShift systems.

Hands on experience on configured and optimized OpenShift clusters for high availability, scalability, and security.

Involved and Responsible for migrating our microservice from OpenShift to Azure cloud Services.

Design and implement the enterprise monitoring systems by applying continuous integration/delivery concepts

Hands on automation experience on building deployment pipelines and managing configurations and setting up the automation environment for application team if necessary and help them through the process of build and release automation and automated deployments across all environments using Jenkins.

Worked collaboratively with client to design and document the appropriate enterprise DevOps & SRE solutions that will support business objectives and developer communities such as configuration management, continuous integration/deployment and cloud platforms.

As an SRE have an experience with improve and maintain the web application life cycle from inception to design, deployment, operation, and refinement.

Responsible for day-to-day management of all Dev, Test, Stage, and Production for various enterprise applications.

Implemented Infrastructure as Code using Terraform, ensuring scalable, maintainable, and consistent deployment configurations.

Experience in integrating Terraform with CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins for continuous deployment of Azure resources.

Experience in creating Jenkins Environment and configuring end to end build pipelines along with Groovy and Shell scripts to automate routine jobs.

Worked with the groovy scripts in Jenkins to execute the jobs for a continuous Integration pipeline where 'Groovy Jenkins Plugin' and 'Groovy Post-Build Action Plugin' is used as a build step and post build actions.

Experience in working with GIT to store the code and integrated it to Jenkins to deploy, for that Created branches and managed the source code for various applications and performed merges in version control systems GIT, GitHub.

Built Jenkins pipeline to drive all microservices builds to Docker registry and deploy to OpenShift.

Integrated Docker with Jenkins Cloud Bees Docker plugin to automate container deployment. Wrote Docker compose files in YAML for managing whole life cycle of multi container applications.

Implemented Docker containers to create images of the applications and dynamically provision the slaves to Jenkins CI/CD pipelines.

Used maven as build tools on java projects for the development of build artifacts on the source code and Utilized Jenkins master/slave architecture to distribute builds on nodes and trigger Jenkins job to build the artifacts using Maven.

Managed maven project dependencies by creating parent-child relationships between projects and created Jenkins jobs on Jenkins server by configuring Jenkins’s nodes, which will enable parallel builds.

Worked on automation of CI/CD pipeline in private cloud using Jenkins shared libraries and multibranch pipeline and automated the static code analysis through SonarQube in Jenkins pipeline for checking code quality.

Hands on Experience on configuring and managing LDAP servers, including installation, setup, and maintenance.

Experience on implementing LDAP access controls and permissions to secure directory data and performing LDAP directory data imports, exports, and backups.

Hands on experience on automation of LDAP administrative tasks through scripting using languages such as Python, PowerShell, and Bash.

Involved in Jira as defect tracking system and configure various workflows, customizations, and plugins for Jira bug/issue tracker integrated Jenkins with Jira, GitHub.

Jenkins CI/CD Automation with Dockerfile, Jenkins pipeline as code, Docker images, containers to OpenShift environment and application log forwarding to Splunk monitoring tool.

Splunk configuration that involves different web application, create Saved search and summary search, summary indexes and created Splunk Dashboard on Non-prod and Prod for Api's to view the end-to-end events monitoring and log analytics generated by Fluent of business-aligned applications.

Experience in using JFROG Artifactory Repository for builds and storing of Docker images.

Experience on configuration of Grafana dashboards and graphs based on Prometheus information to show the current status of OpenShift components, containers, pods, quotas, etc.

Monitored containerized environments OpenShift, Docker with Datadog, ensuring efficient resource utilization and identifying scaling issues early.

Involved in scrum meetings to create the development community around continuous integration and helped development teams to solve their obstacles.

Environments: - RedHat OpenShift, Kubernetes Jenkins, Git, Maven, Groovy, XML, Shell Scripting, PowerShell, Nexus, JFrog Artifactory, SonarQube, Jira, ServiceNow, GitHub, Docker, Splunk, Windows Server, LDAP, Nagios.

Sr. CI/CD & Cloud Engineer

Client: Optum United Health Group, Cary, NC June 2020 – January 2021

Responsibilities:

Extensively implemented Azure Cloud Services like Azure App Service, Windows Azure IaaS, Resource Groups, Virtual Machines, Virtual Networks, Cloud Services, Express Route, VPN, Load Balancing, Application Gateways, Auto-Scaling, and Traffic Manager.

Wrote Terraform scripts to automate the Azure Cloud Services using terraform modules and deployed virtual machine scale sets in non-prod and prod subscriptions and in all environments.

Created reusable Terraform modules in Azure for building & automating CI/CD pipelines for different applications.

Experience in migrating on-premises applications to Azure and configured VNETs and subnets as per the project requirement also performed PowerShell scripting to do Patching, Imaging, and Deployments in Azure.

Used Service now to manage the public and private cloud infrastructure using a consistent single system of record.

Experience in creating Venafi certificates for integrate the cloud services to build, deploy and manage applications through the Microsoft’s global network of the data centers and these certificates, keys and chains stored in azure key vaults.

Used Jenkins to creating new jobs, managing required plugins, configuring the jobs selecting required source code management tool, build trigger, build system and post build actions, scheduled automatic builds, notifying the build reports.

Wrote CI/CD pipeline Groovy Scripts to build, deploy and maintain using Jenkins, Git, Maven, Python, Bash and developed an end-to-end CI/CD pipeline in Jenkins to retrieve code, perform tests and push build artifacts to Nexus.

Integrated Terraform modules with CI/CD pipelines e.g., Jenkins, GitLab CI, or CircleCI to automate infrastructure deployment and updates.

Experience in setting up CI/CD pipelines integrating various tools with CloudBees Jenkins to build and run Terraform jobs to create infrastructure in Azure.

I have experience with custom Terraform providers and publishing modules to Terraform Module Registry for internal and external use.

Used Git as source code management tool creating local repo, cloning the repo, adding, committing, pushing the changes in the local repo, saving changes for later (Stash), recovering files, branching, creating tags, viewing logs etc.

Responsible for design and maintenance of the Git repositories, views, and the access control strategies and Managed Git repositories for branching, merging, and tagging.

Performed automation of CI/CD pipeline in private cloud using Jenkins shared libraries and multibranch pipeline and automated the static code analysis through SonarQube in Jenkins pipeline for checking code quality.

Configured the XL Deploy and XL Release for all the applications from scratch, once the build package is available, then promoted with simple enable options to deploy in the targeted servers and Created pipelines in Jenkins for code build and release to DEV/QA/UAT/Perf/Prod environments.

Responsible for setting up the build pipelines in OpenShift Container Platform using Jenkins and promoting it to all environments based on labels and selectors.

Creating and updating the deployment YAML files for Dev, QA, Reg, Prev & Prod deployments and setting up the required policies in OpenShift Container Platform for DEV and QA teams with the required permissions.

Maintained Artifacts in binary repositories using JFrog Artifactory and pushed new Artifacts by configuring the Jenkins project Jenkins Artifactory plugin.

Deployed and maintained Datadog monitoring infrastructure across multi-cloud and hybrid environments to ensure comprehensive observability.

Experience in using ServiceNow as a ticketing tool and also for tracking the changes and problems by assigning tasks in it.

Environments: Azure, Terraform, Maven, Jenkins, Ansible, Azure ARM, Azure AD, Azure Site Recovery, Python, Ruby, XML, Shell Scripting, PowerShell, Nexus, JFrog Artifactory, SonarQube, Jenkins, Git, Jira, ServiceNow, GitHub, Ansible, Docker, Windows Server, TFS, VSTS, LDAP, Nagios.

Sr Cloud Engineer

Client: Exxon Mobil, Houston, Tx May 2019- May 2020

Responsibilities:

Experience in developing automated platform solutions related to the core Azure environment and managed individual subscriptions, Resource Groups and Management Groups.

Responsible for developing and supporting our client Azure platform and played a key role in direct collaboration with internal and external parties (especially Microsoft) to help design and implement the Azure environment.

Working with agile teams and using Azure DevOps for both managing work. Created CI/CD Pipelines in Azure DevOps environments by providing their dependencies and tasks. Also, have experience in implementing and managing continuous delivery systems and methodologies on Azure.

Build and manage and support Microsoft Azure cloud environments including virtualization, compute, storage backup and business continuity.

Deployed Azure in ThoughtSpot environment and created ThoughtSpot VM’s in Azure from Azure Market Place for that we used Automated Deployment Tool as an infrastructure layout.

Provided performance metrics that measure Azure Latency between the on-premises environment and Azure regions.

Responsible for web application deployments over cloud services (Web and Worker Roles) on Azure, using VS and PowerShell and developed PowerShell Scripts for automation of the build and release process.

Experience in Designing AZURE Resource Manager (ARM) templates and extensive experience in designing custom build steps using PowerShell.

Working on deploying HP SSD Firmware upgrade and NVidia driver upgrade in DEV and PROD environment of customer requirements, and designed rollout plans to release the Firmware upgrade and NVidia driver upgrade in waves.

Used Splunk as search, analyze and virtualize the gathered generate reports, created dashboards and alerts, save searches and pivotal as report and then add reports to dashboards as dashboard panels.

Experience in using Splunk for log analyzing and improving the performance of servers.

Scheduled, deployed, and managed container replicas onto a node cluster using Kubernetes and converted VM based application to microservices and deployed as a container managed by Kubernetes.

Used Ansible to document all infrastructures and application dependencies into version control with GIT to store the code and integrate it to Ansible tower to deploy the playbook.

Created playbooks to manage web applications, Environment Configuration files, users, packages and manage and configuration of multiple servers using Ansible.

Installed and configured Nexus Repository Manager to share the artifacts between the teams within the company.

Responsible for CI (Continuous Integration) and CD (Continuous Delivery) process implementation using Jenkins along with PowerShell scripts to automate routine jobs.

Tracked backlogs and fixed bugs using JIRA and integrated JIRA with subversion and configured with Jenkins to automate the entire Build and release process.

Environment: Azure, Azure AD, Azure Network, ARM, Splunk, Kubernetes, Ansible, Jenkins, GIT, Terraform, PowerShell script, Linux, Microsoft Azure Storage, JIRA, VLAN, DNS, Visual Studio, SQL server.

Devops Engineer

Client: US Bank, NC October 2017 – May 2019

Responsibilities:

Configure Windows Azure Services like PaaS, IaaS and worked on storages like Blob SQL Azure and well experienced in deployment and configuration in management and Virtualization.

Managed in design, plan and create Azure virtual machines, implement and manage virtual networking within Azure and connect to on-premises environments and implemented high availability with Azure Classic and Azure Resource Manager deployment models.

Used PowerShell scripts for automating the services inside the Azure and Worked on PowerShell scripts to automate the Azure Cloud system creation of Resource groups, Web Applications, Azure Storage Blobs & Tables, firewall rules.

Implemented Terraform modules for deployment of applications across multiple cloud providers. Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation.

Configure in Application Deployment on Pivotal Cloud Foundry (PCF) using CF push and Urban code deploy. Also, PCF backup for all the environments and set-up Jenkins maven build automation with uploads to PCF.

Virtualized the servers using the Docker for the test environments and dev-environments needs and configuration automation using Docker containers and worked on Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.

Generated Kubernetes YAML using objects like Pods, Deployments, Services, and Config Maps and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Helm packages.

Configure AZURE, Migration of all servers from on-premises to Kubernetes containers & writing the scripts in PowerShell Scripts for managing various enterprise applications.

Automated various infrastructure activities like Continuous Deployment, Application Server setup, stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.

Engaged in Continuous Integration (CI) for major releases in Jenkins and worked on Upstream and Downstream Jobs in Jenkins. Provisioned instances, storages & monitoring services and CI/CD pipeline through Jenkins.

Used cloud provisioning and multi-tier deployments using Ansible and used python API’s for extending Ansible connection types, call-backs and for adding new server-side behaviours.

Configured and managed source code using GIT and resolved code merging conflicts in collaboration with application developers and provided a consistent environment and implemented Continuous Integration using Jenkins and GIT.

Implemented Java design patterns like Singleton, Factory, Command patterns and wrote PowerShell scripts for pushing data from Dynamo DB to MySQL Database.

Work on writing new plugins in Nagios to monitor resources and working in implementation team to build and engineer servers on Ubuntu and RHEL Linux provisioning virtual servers on VMware and ESX servers using Cloud.

Implemented JIRA to track all issues pertaining to the software development lifecycle & integrated JIRA with repositories of GIT to track all code changes.

Environment: Azure, Azure AD, Azure SQL, Azure Network, PCF, ARM, Kubernetes, Docker, Ansible, Jenkins, Maven, GIT, Terraform, PowerShell, Python & Javascript, Perl, Ruby, Splunk, Elasticsearch, ELK Jira, Linux, MongoDB, Microsoft Azure Storage, JIRA, Hyper-V, VLAN, DNS, Visual Studio, SQL server

Cloud DevOps Engineer

Client: MetLife, Cary, NC Jan 2016 – Sep 2017

Responsibilities:

Worked on Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, CloudWatch, Cloud Trail, Cloud Formation AWS Config, Auto scaling

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