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Harshith Reddy - Cloud Devops Engineer

[email protected]

Location: Dallas, Texas, USA

Relocation:

Visa: GC

Harshith Reddy Nagireddy Cloud DevOps Engineer Phone: 4693344999 Email: [email protected] LinkedIn: https://www.linkedin.com/in/harshith-reddy-nagireddy-b0a0146 ABOUT ME Overall, 10+ years of comprehensive experience in which 6+ years into DevOps, AWS Cloud, Azure, SRE, Build/Release Management and 4 years into Linux Administration. Experienced Cloud DevOps Engineer with decade-long years track record in designing, implementing, and managing cloud infrastructure and in Data centers, CI/CD pipelines, SRE practices, Build and Release management and Linux Administrator. Skilled in leveraging automation tools and DevOps methodologies to optimize processes, enhance software delivery, and ensure high system availability. Committed to performance, security, and cost-effectiveness, fostering continuous improvement in cloud environments. Proficient in multi-cloud management, IaC with Terraform and Ansible, and containerization with Docker and Kubernetes. Collaborative, innovative, and dedicated to staying at the forefront of technological advancements in the fast-paced cloud landscape. PROFESSIONAL SUMMARY Expertise in Amazon AWS Cloud Administration which includes services like: EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, OPS Work, Security Groups, Lambda, Security groups. Expertise in Azure includes Virtual Networks, VM, Azure Active Directory, Azure Resource Manager, App Service Plan, Azure Functions, Azure SQL DB, ACR for Private Docker Registry, AKS, Azure Monitor, Azure SQL database, Blob storage, Azure Synapse Pipelines, Azure Queue Storage, Azure Table Storage, Azure Application Gateway. Experience in complete software development life cycle (SDLC) with software development models like Agile, Scrum Model, JIRA, Waterfall model. Transfer data from Data centers to cloud using AWS Import/Export Snowball service. Experience in Source Code Management as GitLab, GitHub Enterprise, Bitbucket or Azure Repos. Proficient in utilizing automation CI/CD tools such as Jenkins, Azure DevOps pipelines, GitLab CI/CD, and CircleCI to streamline software development, testing, and deployment processes. Managed Jenkins and Nexus for CI and Sharing Artifacts to JFrog Artifactory respectively within the company. Good Exposure on Virtualization, orchestration tools like Kubernetes and Containers (Docker) and Hypervisors like EKS, AKS. Experience in working on several Docker components like Docker Engine, Docker files, Hub, Machine, Docker Compose and Docker Registry, creating Docker images, Docker Container snapshots, Docker volumes and handling multiple images primarily for middleware installations and domain configurations. Created reproducible builds of Kubernetes application, templatize Kubernetes manifests. Experience in developing Kubernetes manifest files like Deployment, services, Ingress, Config Maps etc. Microservices using Nodes, Pods, ConfigMaps, Selectors, Services. Deployed Docker images built using Docker files into Kubernetes Cluster using Helm charts. Implemented monitoring with Grafana visualization in Azure Kubernetes Cluster. Hands-on in using OpenShift for container orchestration with Kubernetes, container storage, automation, to enhance container platform multi-tenancy. Experience with OpenShift, Kubernetes architecture and design, troubleshooting issues and multi-regional deployment models and patterns for large-scale applications. Automating the deployment and management infrastructure using Terraform, Azure resource manager and AWS CloudFormation. This includes creating and maintaining Terraform templates for provisioning resources and Ansible also for automation. Proficient in MongoDB database management Strong understanding of NoSQL databases and MongoDB's document-oriented data model Experience with MongoDB query language (MQL) for data retrieval and manipulation Familiarity with MongoDB aggregation framework for complex data analysis Knowledge of MongoDB indexing strategies for optimizing query performance Experience with MongoDB Atlas for cloud-based database deployment and management Competence in MongoDB replication and sharding for scalability and high availability Proficient in using MongoDB drivers for various programming languages (e.g., Python, Node.js, Java) for application integration DevOps experience with configuration management tools like Ansible, Puppet, Chef, AWS (OPS Work) and OpenStack. Experience in Ansible setup, managing hosts file, Using YAML linter, authoring various playbooks and custom modules with Ansible and Ansible Playbooks to automate in AWS services like Launching EC2, Provisioning IAM, Configuring VPC, EBS, Monitoring using Cloud Watch and Cloud Trail. Hands-on experience in bootstrapping the nodes using knife and automated by testing Chef Recipes, Cookbooks with test-kitchen and chef spec. Refactored Chef and Ops Works in AWS cloud environment. Experienced in Ansible Tower, which provides an easy-to-use dashboard and role-based access control and in developing Ansible playbooks for managing the application/OS configuration files in GIT hub, integrating with Jenkins, and Verifying with Jenkins plugins, deploying the application in Linux environment. Well versed in configuring an automated tool Puppet that included installation and configuration of Puppet and written manifests and modules for a puppet to do tasks like application deployment, configuration and create filesystems. Extensive experience using Build and Automation tools including ANT and Maven along with Jenkins plugins and have working knowledge other build tools like MS Build, Groovy and Gradle. Experience in configuring and managing Lambda functions and triggers and familiarity with Lambda performance monitoring and troubleshooting tools Understanding of Lambda security and authentication mechanisms. Excellent hands-on experience working with monitoring tools such as Prometheus, Grafana, Nagios, Splunk, ELK and working with load balancing, Integrating, and monitoring with Nagios and Splunk also checking the health of applications. Expertise in implementing and maintaining secure DevOps practices, including vulnerability scanning using trivy tool, code scanning, and security testing tools like SonarQube and OWASP ZAP. Configuring network services such as DNS, NFS, SMTP, NTP, DHCP, LDAP, SAMBA, SQUID, postfix, send mail, ftp, remote access, security management and Security trouble shooting skills. Infrastructure as a Service (IaaS) Platform as a Service (PaaS), Software as a Service (SaaS) and IT web Apps. Proficiency in multiple databases like MongoDB, MySQL, ORACLE, Amazon DynamoDB, Apache Cassandra, and MS SQL Server. Experience in Installing Firmware Upgrades, kernel patches, systems configuration, performance tuning on Unix/Linux systems. Expertise in Azure Scalability and Azure Availability - Build VMs availability sets using the Azure portal to provide resiliency for IaaS based solution and Virtual Machine Scale Sets (VMSS) using Azure Resource Manager (ARM) to manage network traffic. Knowledge of Azure Site Recovery and Azure Backup Installed and Configured the Azure Backup agent and virtual machine backup, Enabled Azure Virtual machine backup from the Vault and configured the Azure Site Recovery (ASR). 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. Professional in deploying and configuring Elasticsearch, Logstash, Kibana (ELK) and AWS Kinesis for log analytics . Expertise in installation, administration, configuration, performance tuning and troubleshooting of RedHat Linux, CentOS, SUSE, Ubuntu, Solaris, and Windows. Experience in administering, installation, configuration, support, and maintenance of Linux. Experience in Installing, upgrading, and configuring Red Hat Linux. Experience in scripting for automation and monitoring using Shell and Python scripts. Creating Linux Virtual Machines using VMware Virtual Center (ESXI), hypervisor-v, PHP Virtual Box. Ability to build deployment, build scripts and automated solutions using scripting languages such as Shell scripting (kasha, Bash), Python, Ruby, PHP PERL. Strong ability to troubleshoot any issues generated while building, deploying and in production support. Experience in installing, configuring, modifying, testing, and deploying applications on Apache Web server, IBM Web sphere application servers. Knowledge of hosting and deploying applications using WebSphere Application Servers. Good knowledge on Azure Confidential Computing (ACC), Azure Container Instances (ACI), Azure Kubernetes Service (AKS), Trusted Execution Environments (TEEs), Confidential Inferencing, Sidecar/Confidential sidecar instances, Azure Container Registry (ACR), and Confidential Clean Room. Integrated Bicep templates with Azure DevOps Pipelines for streamlined CI/CD workflows, enabling automated provisioning and deployment of resources. Knowledge on web servers as Apache and application servers like Web logic, Tomcat, WebSphere, and JBOSS to deploy code. Extensive experience in configuring and customizing static code analysis security tools such as SonarQube, Checkmarx, or Fortify to perform comprehensive code scans and identify security vulnerabilities. Experience in configuring and managing Lambda functions and triggers and familiarity with Lambda performance monitoring and troubleshooting tools Understanding of Lambda security and authentication mechanisms. Experienced Build and Release Management professional adept at automating software builds, streamlining deployment processes, and coordinating end-to-end release activities. Skilled in version control, CI/CD implementation, and ensuring code integrity. Collaborative and detail-oriented, committed to optimizing workflows for efficient and reliable software delivery. Seeking to drive excellence and success in dynamic development environments. TECHNICAL SKILLS AWS Services EC2, S3, ELB, EBS, Glaciers, Auto Scaling Servers, RDS, VPC, Storage life cycle rules, Elastic beanstalk, Cloud front, Cloud Formation, Direct connect, Route53, Redshift, Cloud Watch, Cloud trail, IAMs roles, SNS, SQS, SES, SWF Cloud Platforms Microsoft Azure, Aws Cloud, GCP 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, GitHub, GitLab, Bit bucket, Azure repos, Subversion (SVN), CVS CI/CD Jenkins, Azure Pipelines, GitHub, Azure DevOps, Argo CD, ANT, Maven, Gradle, Bamboo Configuration & Automation Tools Ansible, Terraform, Chef, Puppet Container Platforms Docker, Kubernetes, Open Shift Containerization AKS, EKS/ECS Monitoring Tools Nagios, Cloud watch, Splunk, Datadog, Grafana, Prometheus, AppDynamics, Netcool, Apica Programming Languages Java, Python, .Net, Bash, PERL, Ruby Scripting Languages PowerShell, Python, Shell, Bash, Perl, Groovy, Ruby Artifactory Jfrog and Nexus Web Servers Nginx, Apache Tomcat, Httpd, IIS Application Servers Apache, Tomcat, Oracle DB, WebLogic, JBoss, Web Sphere Documentation Confluence Operating Systems Windows 95/98/XP/NT/2000/7/Vista/2003/2008, Sun Solaris 2.x, RHEL, UNIX, LINUX, Mac OS, Centos, Ubuntu Ticketing & Tracking Tools JIRA, Azure Boards, Atlassian, Bugzilla Bug Tracking Tools JIRA, Remedy, Service Now Testing Tools SonarQube, Selenium Code Scanning SonarQube, Jfrog X ray, ECR Inspector Databases RDS, Cosmos DB, My SQL DB, Oracle, Mango DB, DB2, Azure SQL Database Logging Cloud Watch, Cloud Trail, Azure App Insights, Azure Monitor, Azure App services CERTIFICATIONS Microsoft Certified Azure Administrator. Certified Kubernetes Administrator. Certified in Terraform Associate Certified AWS Developer Certified Windows Server Administration EDUCATION Bachelors in Computer Science & Engineering, Jawaharlal Nehru technological university. WORK EXPERIENCE Client: American Airlines, DFW, TX Apr 2022- Till now Title: Azure Cloud Engineer Developed and supported the Software Release Management and procedures, managing MongoDB databases alongside application updates. Used Docker for setting Azure Container Registry with Docker and Docker-compose, integrating MongoDB into Docker containers for streamlined deployment. Implemented Continuous Delivery pipeline with Terraform, GitHub, Jenkins, Docker, Kubernetes, automating MongoDB deployments and schema changes. Created CI/CD Pipelines in Azure DevOps environments, incorporating MongoDB tasks for automated database migrations. Utilized Azure Kubernetes service to deploy managed Kubernetes clusters, configuring MongoDB clusters within AKS for scalable deployments. Implemented containerized applications on Azure Kubernetes using Azure Kubernetes service (AKS), deploying MongoDB instances for scalable database solutions. Used existing cookbooks from Chef Market place, customizing recipes to include MongoDB configurations. Configured servers to host Team Foundation Server (TFS) instances, managing Continuous Integration (CI) using TFS Build Service. Administered and monitored Visual Studio Team System (VSTS), ensuring MongoDB backups and collections consolidation during migration. Automated various infrastructure activities using Ansible playbooks, integrating MongoDB tasks into automation workflows. Implemented a CI/CD pipeline using Azure DevOps (VSTS, TFS) in both cloud and on-premises environments, incorporating MongoDB deployments. Designed and implemented fully automated Server build management, monitoring, and deployment, including MongoDB configurations. Automated most daily tasks using Python scripting, including MongoDB-related automation. Involved in researching project application architecture, supporting/resolving MongoDB-related issues. Improved the performance of SQL Scripts using Object Role Modeling methodology, leveraging MongoDB for specific data storage needs. Used Jenkins for Continuous Integration and deployment into Tomcat Application Server, integrating MongoDB tasks into deployment workflows. Managed Azure Infrastructure, including Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, and Azure AD Licenses, integrating MongoDB into infrastructure management. Hands-on experience in designing, planning, and implementing existing on-premise applications to Azure Cloud (ARM), configuring and deploying Azure Automation Scripts with MongoDB configurations. Experience in Windows Azure Services like PaaS, IaaS, working with storages like Blob (Page and Block), SQL Azure, and MongoDB deployments. Developed Python scripts for testing car functioning on different services, including MongoDB data validation. Created users, managed user permissions, maintained User & File System quotas on Red Hat LINUX, incorporating MongoDB user management. Managed Azure Infrastructure, including Virtual Machine Backup and Recovery from a Recovery Services Vault, with MongoDB deployments. Managed Kubernetes services such as Elastic Kubernetes Service (EKS) & Azure Kubernetes (AKS), incorporating MongoDB deployments. Environment: Azure, MongoDB, ANT, MAVEN, Subversion (SVN), Docker, EKS Kubernetes, Ansible, JIRA, LINUX, SNS, SQS, Kubernetes, Shell/Perl Scripts, Bitbucket, Python, GIT, Jenkins, Tomcat, Java, Azure, Azure VSTS, Visual Studio Code, GitBash, Python. Client: Amex, Phoenix, AZ July 2020 Mar 2022 Title: AWS DevOps Engineer Designing, deploying and maintaining the application servers on AWS infrastructure, using services like EC2, S3, Glacier, VPC, Lambda, Route53, SQS, IAM, Code Deploy, Cloud Front, RDS, and CloudFormation etc. Implemented the various services in AWS like VPC, Auto Scaling, S3, Cloud Watch, EC2. Worked with the different instances of AWS EC2, AWS AMI s creation, managing the volumes and configuring the security groups. Experience in creating AWS AMI, have used Hashi Corp Packer to create and manage the AMI's. Developed Chef Recipes to configure, deploy and maintain software components of the existing infrastructure. Deployed Docker Engines in AWS platforms for containerization of multiple applications, dockerized application which included packaging, tagging and pushing the image to the Jfrog/nexus Artifactory. Used Maven to build rpms from source code checked out from Subversion repository, with Jenkins and Artifactory as repository manager. Implemented automation of AWS infrastructure via Terraform and Jenkins - software and services configuration via Ansible playbooks. Worked on the Cloud Watch to monitor the performance environment instances for operational and performance metrics during the load testing. Designed the data models to be used in data intensive AWS Lambda applications which are aimed to do complex analysis creating analytical reports for end-to-end traceability, lineage, definition of Key Business elements from Aurora. Worked with the AWS S3 services in creating the buckets and configuring them with the logging, tagging and versioning. Created the trigger points and alarms in Cloud Watch based on thresholds and monitored logs via metric filters. Used JFrog Artifactory to store and maintain the artifacts in the binary repositories and push new artifacts by configuring the Jenkins project using Jenkins Artifactory Plugin. Used the AWS-CLI to suspend an AWS Lambda function. Used AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS. Experience on Continuous Integration and Continuous deployment using various CI tools like Jenkins, Hudson and automating deployments using Continues Integration tools like Jenkins on Application Server JBOSS and Tomcat. Using the Docker file containers has run for the MongoDB and linking it with new container which will be the client container to access the data. Mirrored the Docker images required for Spinnaker from external registry to private Docker Registry. Experienced in maintaining containers running on cluster node are managed by OpenShift Kubernetes. Maintained Single and Multi-container pods storage inside a node of OpenShift (Kubernetes) cluster. Planning, implementation and testing of new Data Centre for Disaster Recovery migrations, involved in an Agile/ Scrum environment and daily stand-up meetings. Update Maven scripts to use Artifactory repo instead of local repositories Worked on the AWS Auto Scaling launch configuration and creating the groups with reusable instance templates for Automated Provisioning on demand on based on capacity requirements. Created a best practice Build environment using Jenkins, Packer, immutable instances, and AWS. Implemented the Chef Software setup and configuration on VM's from the scratch and deployed the run - list into chef-server and bootstrap the chef clients remotely. Worked on the AWS IAM service and creating the users & groups defining the policies and roles and Identify providers. Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation. Used OpenShift for Docker file to build the image and then upload the created images to the Docker registry. Created Jenkins on top of Kubernetes in team environment to remove dependencies on other teams. Worked on open source development tools like Docker Containers, Mesos and Kubernetes. Monitoring, traffic tracking and trend analysis using Network Management Tools Splunk, SiteScope, Insight Manager. Managed deployments in EKS managed Kubernetes, setup multi nodes cluster and deployed containerized applications. Cloud infrastructure maintenance effort using a combination of Jenkins, Ansible and Terraform for automating CICD pipeline in AWS. Experienced with event-driven and scheduled AWS Lambda functions to trigger various AWS resources. Involved in writing Java API for Amazon Lambda to manage some of the AWS services. Automated the web application testing with Jenkins and Selenium. Automated the continuous integration and deployments CI/CD using Jenkins, Docker, Ansible and AWS Cloud Templates. Used Jenkins pipelines to drive all micro services which builds out to the Docker registry and then deployed to Kubernetes by Creating Pods and managed using Elastic Kubernetes Service (EKS). Environment: Amazon Web Services, EKS Kubernetes, Jenkins, Ansible, Kubernetes, Python, JIRA, Web logic, UNIX, VMware, Artifactory, Shell, Perl, JSON, Docker, Git, GitHub, Bitbucket, ELK. Client: Givelify, Indianapolis, IN Oct 2018 June 2020 Title: Windows Server and Infrastructure Engineer Implemented and maintained monitoring solutions including ELK Stack, Azure Monitor, App Insights, and Splunk to monitor and analyze distributed systems and applications running on Windows Server infrastructure. Developed custom dashboards and alerts to provide real-time visibility into system performance, availability, and health, enhancing operational efficiency. Conducted regular Health Checks of critical infrastructure components and services using automated Python scripts, ensuring proactive detection of issues and timely incident response. Led incident management efforts, responding to ServiceNow incidents and driving effective collaboration in war-room situations. Conducted post-mortem analyses, identified root causes, and implemented corrective actions to prevent recurring incidents. Established Service Level Agreements (SLAs), Service Level Objectives (SLOs), and Service Level Indicators (SLIs), and utilized monitoring tools to measure and report on SLA adherence, facilitating continuous service improvement. Collaborated with development teams to optimize code and enhance application scalability using Azure Application Insights and other APM tools. Utilized Confluence as a documentation platform to capture system designs, runbooks, incident resolutions, and post-mortem reports, ensuring documentation was up to date and easily accessible. Developed automation scripts using Python to streamline repetitive tasks, such as log analysis, system health checks, and deployment processes, improving operational efficiency. Collaborated with capacity planning teams to analyze system performance trends, conducted load tests, and provided recommendations for scaling resources to meet increasing demands. Managed incident tickets using ServiceNow, ensuring timely resolution and adherence to SLAs. Coordinated with cross-functional teams to troubleshoot and resolve complex issues. Actively participated in war-rooms during critical incidents, leading incident post-mortems and implementing preventive measures to enhance system resilience. Utilized Ansible and Terraform for infrastructure automation, including patching, hardening, and deployment processes. Containerized the environment using Docker images and Docker files, integrating containerization into CI/CD pipelines. Developed wellness health check scripts and automated systems engineering tasks to improve operational efficiency. Provided technical recommendations involving Windows Server environments and tools upon request, including patching and system hardening. Monitored system resources, made tuning recommendations, and created monitoring metrics and dashboards using enterprise tools. Worked on design, development, testing, and implementation of batch applications, ensuring compatibility with business requirements. Environment: Windows Server, ELK Stack, Azure Monitor, App Insights, Splunk, ServiceNow incidents, SLA, SLO, SLI, Python, Ansible, Terraform, Docker, CI/CD, DB2, Teradata. Client: Smart ERP Solutions, Inc, CA Jan 2017 Sep 2018 Title: Build & Release Engineer Defined and Implemented CI and Release Management Processes, Policies, and Procedure. Automated the release pipeline to achieve zero touch deployments using Jenkins, SVN, Nexus, and Nolio. Worked with SVN and GIT version controlling Creation and management of branches, merging branches, deletion of obsolete branches after every release. Writing the post-commit and pre-push hooks in Python for code checks. Coordinate/assist developers with establishing and applying appropriate branching, labelling/naming conventions using Subversion (SVN) source control. Analyze and resolve conflicts related to merging of source code for SVN. Developed Scripts for AWS Orchestration using EC2, EBS, S3, Cloud Formation and IAM. Develop/capture/document architectural best practices for building systems on AWS. Goal is to build a HA proxy Infrastructure so that two Docker containers are running behind Application load balancer. Installed Ansible Registry for local upload and download of Docker images and even from Docker hub. Implement, maintain, and support reliable, timely and reproducible builds for project teams. Maintained build related scripts developed in shell for Maven builds. Created and modified build configuration files including POM.xml. Utilized Perl and Python for GIT for creating repository hooks Used Maven dependency management system to deploy snapshot and release artefacts to Nexus to share artefacts across projects and environments. Environment: SVN, Jenkins, Nexus, GIT, ANT, MAVEN, Perl, Puppet, Ansible, Python Scripts, Shell Scripts, Sonar, Red Hat Kick start server, Splunk. Client: Freddie Mac, VA Nov 2013 Dec 2016 Title: Linux System Admin Created and maintained user accounts in Red hat Enterprise Linux (RHEL)and other operating systems Troubleshooting and maintaining of TCP/IP, Apache HTTP/HTTPS, SMTP and DNS applications. Configuration of NIS, DNS, NFS, SENDMAIL, LDAP, TCP/IP, Send Mail, FTP, Remote access Apache Services on Linux &UNIX Environment. Migrated different projects from Perforce to SVN Performing NIC bonding on Linux Systems for redundancy. Diagnosed and resolved problems associated with DNS, DHCP, VPN, NFS, and Apache. Created Bash/shell scripts to monitor system resources and system maintenance. Create and Update Documentation for current Patching process. Coordinate with Lines of Business to schedule patching. Create Change request for Patching in Production environment. Installed, tested and deployed monitoring solutions with Splunk services. Resolved configuration-based issues in coordination with infrastructure support teams. Maintained and managed assigned systems, Splunk related issues and administrators. Skilled in deploying, configuring and administering Splunk clusters. Responsible for the basic administration tasks related to LDAP and WebSphere Portal. Environment: RHEL, Windows, Shell Script, VMware servers, XEN, ESX, ESXi, WebSphere, Perforce, Splunk Enterprise Server 5.x, SVN, Windows 2003 server, Kick Start, Solaris. Client: Inforlinx Solutions, India. Aug 2012 Sep 2013 Title: Linux System Admin. General Linux administration, operating system, upgrades, security patching, troubleshooting and ensuring maximum performance and availability. Perform daily maintenance tasks on Linux severs, monitoring system access, managing disk space and tuning the system for optimum performance. Responsible for writing and modifying scripts for day-to-day administration. Installed and configured and administration of RedHat Linux servers and support. Responsible for setting up Cron Jobs scripts on production server. Monitored system activities like CPU, Memory, Disk and Swap space usage to avoid any performance issues. Setup Linux workstations with hardware and software RAID and implement LVM. Configure and maintain clustered RAID subsystems. Wrote technical documentation for various projects. Performed OS upgrades and patching when required. Wrote bash shell scripts to automate various Linux servers. Environment: Red hat Linux, Shell, Bash, VMWare, Networking, Dynatrace. Keywords: continuous integration continuous deployment javascript sthree database active directory information technology microsoft Arizona California Texas Virginia