Devops Engineer Organizational Development

Location:

DeKalb, IL

Posted:

May 13, 2025

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Resume:

Naga Sandeep Doppalapudi

Senior Specialist-Cloud engineering

Phone: 815-***-****

Email: ************@*******.***

PROFESSIONAL SUMMARY

A Technocrat with 12+ years of Insightful experience, 8+ years in Cloud/DevOps Engineer DevOps Engineer, Build/Release, and Cloud Management. With experience in managing server infrastructures and involving administration of mission-critical, high availability environments. Consistently high-performing and Proven ability to create and deliver solutions tied to business growth, organizational development. Skilled problem identifier and troubleshooter. Comfortable in managing systems, projects, and teams in a range of IT environments.

●Experience in dealing with Windows Azure IaaS – Cloud Services, Virtual Networks, Virtual Machines, Resource PHPGroups, Express Route, Traffic Manager, VPN, Load Balancer, Application Gateways, Virtual Machine Scale Sets and Auto-Scaling, configuring SonarQube, Sonar cloud within pipelines with Azure app container services.

●Experience in migrating on-premises to the Windows Azure DR using Azure Recovery Vault and Azure backups, Azure Fabric, Docker containers to the cloud in Azure and created Domain Controller in one of the Virtual Machine and added users to Domain Controller.

●Expert in vetting the security controls of various PAAS services in AWS/Azure/GCP and creating technical security standards to secure the infrastructure.

●Developed and Designed azure devops pipelines to manage the resources across multiple subscriptions in azure.

●Migrated On-premises applications to Cloud and Cloud orchestration using Terraform, CloudFormation and Azure Resource Manager (ARM) templates.

●Experience working with Amazon Cloud Administration which includes services like: EC2, S3, EBS, VPC, ELB, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, OPS Work, Security Groups by focusing on high-availability, fault tolerance.

●Good Experience in automation and securing the infrastructure on AWS using CloudFormation, Terraform and AWS Lambda and building CI/CD on AWS environment using AWS Code Commit, Code Build, Code Deploy, and Code Pipeline.

●Expertise in working with Terraform Template key features such as Infrastructure as a code, Execution plans, Resource Graphs, Change Automation and extensively used Auto Scaling launch configuration templates for launching Amazon EC2 instances while deploying microservices.

●Expertise in solving manual redundant infrastructure issues by creating CloudFormation Templates using AWS’s Serverless application model and deploy RESTFUL API’s using API gateway and triggering Lambda Functions.

●Good Knowledge on components like Docker Engine, Docker-Hub, Docker-Compose, Docker Registry, Docker container snapshots and Docker Swarm. Used Docker for local Application Deployment and Vagrant for different infrastructure setup and testing of code.

●Expertise in using Docker to containerize custom web applications and deploy them on Digital Ocean with Ubuntu instances through SWARM Cluster and to automate the application deployment in cloud using Vagrant.

●Expertise in Writing Helm charts to deploy micro services into Kubernetes cluster with pod auto-scaling along with load-balancer, where we have Deployed large-scaled application hosted in Kubernetes.

●Deployed Ingress controller on aks cluster to route the Traffic to internet and assigned certificates for security control.

●Experience in Writing Terraform re-usable modules to deploy the Azure services into the cloud Environment.

●Worked on Creating azure dashboards, to monitor the services health and as well created azure monitor dashboard for Kubernetes cluster to view the micro-services health.

●Expertise in writing Ansible Playbooks from scratch using YAML functions and utilizing setup and automate the CI/CD pipeline and deploy microservices. Provisioned load balancer, auto-scaling group and launch configuration for microservices using Ansible.

●Worked on setup the Kubernetes sandbox on Azure Kubernetes Services (AKS) for testing the different features and manage containerized applications using its nodes, ConfigMaps, selectors, services, and deployed application containers as Pods.

●Experience in developing Cookbooks, Recipes, Resources and Run lists, managing the Chef Client nodes, and upload the Cookbooks to chef-server from Workstation using knife command, Berkshelf dependency manager, and Test kitchen to validate Chef Cookbooks.

●Experienced in working with configuration management tool Puppet that includes the installation and configuration of the Puppet master, agent nodes and an admin control workstation along with objects such as Puppet resource, class, Manifest, modules and Forge.

●Proficient in Setting up Continuous Integration by configuring Build, Code coverage, deploy and test automation Jobs using Jenkins, Hudson, Bamboo for different applications and worked with different teams in enterprise level.

●Experience in managing the repository manager like Nexus for the Maven builds. Integrated Maven with Jenkins by which the Surefire test reports and doc produced by Maven are captured and to build parallel modules for larger maven projects.

●Hands on experience in Branching, Merging, Tagging and maintaining across the environments using SCM tools like GIT, Subversion (SVN), TFS, Bitbucket and used webhooks for integrating with continuous Integration tools Jenkins, Bamboo and ANT, MAVEN and Gradle for generating builds and Confluence for content collaboration. Designed quality profiles and certain standards set by installing Quality Gates in SONARQUBE.

●Proficient in building deployable Artifacts (War, Jar, Ear, Zip, Tar) from source code and maintained by using Maven (Pom.xml), Ant (Build.xml) and Gradle (Build.gradle) and worked with Groovy Scripts to Automate Configuration in Jenkins.

●Worked with Wind River systems, leveraging VxWorks for embedded software development and real-time operating systems (RTOS) solutions.

●Collaborated on optimizing system performance, debugging, and ensuring seamless integration for mission-critical applications.

●Contributed to the design and implementation of embedded solutions, ensuring reliability and scalability in complex environments.

●Experience in using tools like JIRA for ticketing, Integrating JIRA into Splunk Enterprise and Bug Reporting for product through JIRA Experience in using NAGIOS, and Kafka tool used for Monitoring. Worked with different Bug tracking tools like Code Commit, JIRA, Bugzilla. Extensive knowledge in installing and configured ELK stack in both legacy and Docker swarm mode and pipelined application logs from App server to Elastic search through Logstash, indexes, shards, and replicas.

●Hands-on experience with various scripting tools such as Shell, Bash, Python, PowerShell and Ruby for automating various Cron jobs and notification process.

●Good knowledge in the areas of Virtualization with installation, support of VMware servers. Expertise in setup and configuration of Application Servers Nginx, Tomcat, WebLogic and involved in deployment activities.

●Exposed to installation, configuration and performance tuning of Database servers and user’s management such as Oracle, MYSQL, and SQL Server.

●Good experience in installing, Upgrading and configuring RHEL, Windows Server 2008, Centos, Ubuntu, and UNIX ISO/IEC 9945:2008 servers and involved in troubleshooting and debugging issues occurred in the production and during solution development.

TECHNICAL PROFICIENCY

Operating systems

Unix, Ubuntu, Centos, RHEL, Windows

Cloud environments

Microsoft Azure, Amazon Web Services, GCP, OpenStack

Containerization tools

Docker, Kubernetes, Aws ECS.

Configuration tools

Ansible, Chef, Puppet

Continuous Integration tools

Jenkins, Bamboo, Hudson

Build/Project tools

Apache Ant, Apache Maven, Gradle

Version control tools

GitHub, Atlassian Bitbucket, SVN

Repositories

Antifactory, Nexus, Jfrog

Monitoring/logging tools

Splunk, Nagios, Elastic Search, Logstash, Kibana, Datadog

Collaboration tools

Jira, ServiceNow, Slack, confluence

Scripting

Shell, Bash, Python, Ruby, YAML

Databases

MySQL Server, Oracle, DynamoDB

Virtualization technologies

Oracle VirtualBox, VMware Workstation

Web services

Rest API, JAX-RS, JAX-WS, SOAP

Networking/Protocol

NFS, NIS, DNS, DHCP, IP, TCP, FTP, HTTP, HTTPD, SSH

Web Technologies

HTML, CSS, Bootstrap, XML, JSON, XSD, XSL, XPATH.

Application/Web servers

WebSphere, WebLogic Server, Red Hat JBoss, Apache Tomcat

PROFESSIONAL EXPERIENCE

Clients: AT&T, Alpharetta GA.

Role: Infrastructure DevOps Engineer

Mar 2023- March 2025

Responsibilities:

●Implemented Azure Hybrid integration to integrate the applications, data and processes using API's. Worked with Azure AD, Azure Blob Storage and Data Factory to compose data storage, movement, and processing micro-services into automated data pipelines and have used Azure compute services and Azure Web apps.

●Designed and implemented scalable CI/CD pipelines, enabling automated testing, deployment, and monitoring for mission-critical applications.

●Architected end-to-end DevOps solutions integrating tools like Jenkins, GitLab CI/CD, and Azure DevOps, reducing deployment times by 40%.

●Defined infrastructure as code (IaC) standards to ensure consistency, security, and reproducibility across multiple environments.

●Led the migration of legacy systems to containerized solutions using Kubernetes and Docker, enhancing system reliability and reducing costs by 30%.

●Collaborated with cross-functional teams to implement best practices in cloud-native architecture, increasing operational efficiency.

●Configured and deployed Azure Automation Scripts for a multitude of applications utilizing the Azure stack services including Compute, Web & Mobile, Blobs, ADF, Resource Groups, Azure Data Lake, HDInsight Clusters, Azure SQL and ARM focusing on automation, created quality gates in SonarQube dashboard and enforced in the pipelines to fail the builds when conditions not met.

●Prepared capacity and architecture plan to create the Azure cloud environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases. Established connection from Azure to On-premises datacenter using Azure ExpressRoute for Single and Multi-subscription connectivity.

●Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS) into secure VNets and subnets, creating pipelines for deploying code from GitHub to Kubernetes cluster in the form of Docker containers using Spinnaker.

●Automated configuration management and deployment processes using Puppet, resulting in a 50% reduction in manual tasks and error rates.

●Created custom Puppet modules and manifests for application deployments and environment provisioning, ensuring repeatable and scalable setups.

●Managed infrastructure configuration drift across hundreds of servers using Puppet’s reporting and remediation features.

●Streamlined patch management and system updates for Linux-based environments using Puppet, improving compliance and security posture.

●Integrated Puppet with monitoring tools like Nagios and Splunk to provide real-time insights into configuration states.

●Developed and maintained Terraform configurations to automate the provisioning of cloud resources in AWS, Azure, and GCP environments.

●Proficient in deploying and managing Network Functions Virtualization (NFV) solutions using technologies like OpenStack, VMware, and KVM for scalable network environments.

●Leveraged Windows Performance Monitor (PerfMon) to track and analyze system performance metrics, including CPU, memory, and disk usage, ensuring optimal resource utilization and system health.

●Used PerfMon to diagnose and troubleshoot performance issues, providing detailed reports to identify bottlenecks and optimize application performance, resulting in a 20% improvement in system efficiency.

●Experienced in NFV orchestration, VNF deployment, automation, and integration with SDN for enhanced network management and performance optimization.

●Strong experience in implementing and managing Software-Defined Networking (SDN) solutions, leveraging SDN controllers like OpenFlow and OVS for dynamic network control.

●Skilled in integrating SDN with NFV for enhanced network automation, flexibility, and efficient resource management in virtualized environments.

●Managed and deployed containerized applications using Azure Kubernetes Service (AKS), ensuring high availability, scalability, and efficient resource utilization.

●Implemented continuous integration/continuous deployment (CI/CD) pipelines with Azure DevOps to automate application deployment to AKS clusters.

●Configured and maintained AKS clusters, including network policies, ingress controllers, and RBAC (Role-Based Access Control) to manage security and access.

●Optimized containerized workloads by adjusting resource requests, limits, and node scaling to ensure efficient cost management and performance.

●Integrated AKS with Azure Active Directory (AAD) for user authentication and authorization, improving security and user access management.

●Monitored AKS cluster health using Azure Monitor, Log Analytics, and Prometheus to ensure operational efficiency and quickly identify potential issues.

●Performed version upgrades of AKS clusters and managed Kubernetes configurations, ensuring smooth transitions with minimal downtime.

●Implemented autoscaling (horizontal pod autoscaler and cluster autoscaler) to dynamically adjust application workloads based on demand.

●Built and managed Helm charts for streamlined Kubernetes application deployments and configuration management in AKS environments.

●Collaborated with DevOps teams to implement infrastructure as code (IaC) for AKS environments using tools like Terraform and Azure Resource Manager (ARM) templates.

●Secured AKS environments by configuring network policies, secret management with Azure Key Vault, and implementing container image scanning and vulnerability assessments.

●Proficient in Groovy scripting for developing automation workflows, optimizing application processes, and managing CI/CD pipelines with tools like Jenkins

●Implemented infrastructure as code (IaC) solutions using Terraform, reducing provisioning time by 70% and ensuring consistent environments.

●Wrote reusable Terraform modules to standardize and accelerate infrastructure deployments across teams.

● Managed multi-cloud and hybrid-cloud deployments, leveraging Terraform state management and workspace features.

●Automated scaling and disaster recovery mechanisms using Terraform for highly available applications.

●Led the design of tenant projects in AT&T Labs’ Integrated Cloud (AIC) and Network Cloud (5G Labs), working closely with clients to understand their business and technical needs. Developed technical contracts by translating their requirements into detailed configurations for virtual machines, compute, storage, and networking resources.

●Analyzed client capacity requirements and identified suitable lab environments. Ensured optimal resource allocation across compute, storage, and networking infrastructure to meet client demands without over-provisioning. Tenant Creation and Lab Configuration: Led the creation and configuration of tenant environments in AIC and NC labs. Configured necessary JSON files, validated quotas, and ensured that allocated resources matched predefined limits in the Lab Control Panel (LCP).

●Managed user access by assigning role-based permissions and authorizations. Ensured project owners had the necessary rights to manage and deploy applications within their tenant environments, improving security and accountability.

●Deployed and maintained OpenStack environments with core services like Nova (compute), Neutron (networking), Keystone (identity), Cinder (block storage), Swift (object storage), Horizon (dashboard), and RabbitMQ (messaging). Ensured the stability and high availability of cloud services across multiple environments.

●Automated the deployment and orchestration of resources using OpenStack heat stacks, allowing for rapid provisioning of instances and services. Primarily used KVM hypervisors for managing virtualized resources, ensuring optimal resource utilization.

●Integrated Continuous Integration and Continuous Deployment (CI/CD) pipelines with tools like Jenkins and Airship to automate the deployment of cloud infrastructure configurations, such as network topologies, VLANs, and Pod IP ranges.

●Developed and managed Security Manifests for handling sensitive information (e.g., passwords, TLS/SSL certificates, and encryption keys) securely during deployments. Implemented encryption mechanisms to ensure secure storage and prevent unauthorized access.

●Spearheaded Cloud Harbor integration by orchestrating server farm onboarding and managing the Cloud Harbor artifact repository. Regularly conducted code check-ins, reviewed and approved pull requests (PRs) to maintain code quality and ensure best practices were followed.

●Expertise in deploying, managing, and troubleshooting Citrix virtual environments for efficient application delivery and desktop virtualization.

●Experience in managing virtual machines and optimizing server performance using Citrix Hypervisor.

●Proficient in configuring and managing Citrix NetScaler for load balancing, secure access, and traffic optimization.

●Skilled in configuring Citrix Workspace for seamless access to virtual applications and desktops across multiple devices.

●Proficient in monitoring, diagnosing, and troubleshooting Citrix environments using Citrix Director for enhanced performance and user experience.

● Engineered the creation of Network Manifests using Calico plugins, enforcing security and network rules across server farms. Automated updates to network configurations, ensuring compliance with organizational policies while enhancing the efficiency of inter-node communication.

●Led the installation and configuration of Genesis nodes, which act as the master orchestrator for server farm environments. Collaborated with cross-functional teams to optimize node configurations for specific network and compute designs, improving deployment efficiency and reducing errors.

●Built and optimized custom deployment pipelines using Super-Seed, Seed Jenkins, and BareMetal pipelines. Ensured the efficient and timely execution of deployment tasks, meeting stringent deadlines while maintaining high reliability.

●Monitored cloud infrastructure health using Nagios XI and Prometheus, focusing on service performance, disk usage, and resource availability. Proactively identified and resolved issues before they escalated to high-priority incidents.

●Diagnosed and resolved complex issues during deployment using Apache Airflow DAGs. Conducted post-mortem analyses after deployment failures, generating reports and implementing preventative measures to avoid future issues.

●Worked closely with DevOps, Network Engineering, and Security teams to ensure that all deployment processes, configurations, and security protocols aligned with business and technical objectives. Participated in architectural discussions to improve cloud infrastructure design and strategy.

●Provided ongoing support and troubleshooting for OpenStack environments, ensuring minimal downtime and high availability for clients. Addressed complex issues related to instance management, resource allocation, and cloud service performance.

●Automated the configuration of network components within the cloud infrastructure, enabling seamless communication between containers and virtual machines. Enhanced security by enforcing consistent network policies across environments.

●Authored detailed documentation on deployment processes, infrastructure configurations, and troubleshooting guides. Conducted workshops and training sessions to upskill team members on best practices for cloud deployment and management, fostering a collaborative learning environment.

●Continuously monitored deployment pipelines using Apache Airflow to identify bottlenecks and failures. Provided detailed feedback and solutions to the relevant teams, ensuring uninterrupted operations and improving overall pipeline efficiency

●DaaS Solutions (e.g., VMware Horizon Cloud, Citrix DaaS): Implemented and managed cloud-based desktop virtualization solutions, enabling businesses to provide secure, scalable remote work environments.

●Cloud-based Desktop Management: Hands-on experience in provisioning, configuring, and managing virtual desktops in cloud environments, ensuring high availability and data security.

●User Profile Management in DaaS: Experienced in optimizing user profiles and data storage in DaaS platforms to improve performance and user experience.

●End-User Support for Virtual Desktops: Provided technical support for users accessing desktops remotely via DaaS platforms, troubleshooting issues related to connectivity, performance, and application delivery.

●Security and Compliance in DaaS: Ensured DaaS solutions met security standards, including user authentication, encryption, and access control, to maintain compliance with industry regulations.

Clients: XPO Logistics, Dallas, USA Jun 2020- Mar 2023

Role: Azure DevOps Engineer

Responsibilities:

●Worked on Server less services (Azure Functions) created and configured HTTP Triggers in the Azure Functions Enabling Application insights for monitoring and performing load testing on the Applications using the VSTS.

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

●Proficient in Groovy scripting for automation, application development, and CI/CD pipeline integration

●Experienced in writing efficient one-liners and complex scripts to streamline workflows and enhance system performance.

●Implemented Jenkins jobs to create Azure Infrastructure from GitHub repositories containing Terraform code and created on-premises active directory authentication using automation with ansible play books.

● Worked on Docker-Compose, Docker-Machine to create Docker containers for testing applications in the QA environment and automated the deployment to Nexus, scaling and management of containerized applications.

●Configured and setup environment within Kubernetes Cluster with a master and 3 minions. Collaborating with development team for creating Docker and Kubernetes containers for each micro-service and installed all required dependencies for each container.

●Created several pods using Master and Minion architecture of Kubernetes and developed microservice on boarding tools leveraging Power Shell allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.

●Installed and configured Kubernetes effectively Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and deploy and Scheduled, deployed, and managed container replicas onto a node cluster using Kubernetes.

●Designed distributed private cloud system solution using Kubernetes (Docker) on CoreOS. Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.

●Written the Ansible playbooks which are the entry point for Ansible provisioning, where the automation is defined through tasks using YAML format to setup Continuous Delivery pipeline and ran Ansible Scripts to provision Dev servers.

●Integrated Docker container-based test infrastructure to Jenkins CI test flow and set up build environment integrating with GIT and JIRA to trigger builds using Webhooks and Slave Machines

●Created a Jenkins pipeline to drive all micro-services builds out to Docker Hub and then deployed to Kubernetes, created pods and configured Kubernetes Replication controller.

●Managed Nexus repository to download artifacts during builds in Jenkins and integrated Ant and GIT to deploy project related tags.

●Installed and configured Nagios as monitoring tool for disk usage, CPU utilization, list of open files etc. and sending alerts to our teams based on the same. Setup threshold alerts in Nagios XI and updated contact definitions to notify potential service or host interruptions.

●Use airflow to author workflows as directed acyclic graphs (DAG) of tasks

●Used airflow to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

●Used airflow for task dependency management

●Maintained build related scripts developed in Ant and Power Shell. Modified build configuration files including Ant’s build.xml.

●Involved on migrating SQL Server databases to SQL Azure Database using SQL Azure Migration Wizard and used Python API to upload agent logs 3into Azure blob storage.

Environment:

Azure, Azure AD, Azure SQL, Azure Network, PCF, ARM, Kubernetes, Docker, Ansible, Jenkins, Ant, GIT, Terraform, PowerShell script, Power shell, Java script, Ruby, Splunk, Elasticsearch, Jira, Linux, MongoDB, Microsoft Azure Storage, JIRA, IIS, Hyper-V, VLAN, DNS, DHCP, MSDNAA, Visual Studio, SQL server.

Client: CIBC, Dallas, USA Nov 2018- Jan 2020

Role: DevOps Engineer

Responsibilities:

●Implemented Cloud Solutions using various AWS Services including EC2, VPC, S3, Glacier, EFS, AWS Kinesis, IAM, Lambda, Directory Services, Security-Groups, CloudFront, Ops Work and Cloud Formation, Kubernetes, Elastic Beanstalk, RDS, SNS, SQS, SES, DynamoDB, Redshift, EMR, ELB, Route-53 etc.

●Migrated services from a managed hosting environment to AWS including service design, network layout, data migration, automation, monitoring, deployments and cutover, documentation, overall plan, cost analysis, and timeline.

●Configured AWS IAM and Security Groups in Public and Private Subnets in VPC Managed IAM accounts (with MFA) and IAM policies to meet security audit & compliance requirements and worked as Admin.

●Configuration of Ansible modules for AWS cloud deployment. Worked with Ansible playbooks for virtual and physical instance provisioning, configuration management, patching and software deployment on AWS environments through automated tools, Ansible / custom pipeline.

●Orchestrated and migrated CI/CD processes using Cloud Formation and Terraform Templates and Containerized the infrastructure using Docker, which was setup in Vagrant, AWS, and VPCs.

●Worked to setup Jenkins as a service inside the Kubernetes cluster to reduce the failover downtime to minutes and to automate the Docker containers deployment without using configuration management tool.

●Created additional Docker Slave Nodes for Jenkins using custom Docker Images and pulled them to ECR. Worked on all major components of Docker like Docker Daemon, Hub, Images, Registry.

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

●Configured Ansible to manage AWS environments and automate the build process for core AMIs used by all application deployments (Jfrog) including Auto scaling, and Cloud formation scripts.

●Worked on AWS Lambda functions in python for AWS's Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters.

●Wrote Python scripts for pushing data from DynamoDB to MySQL Database. Also created and maintained the Python deployment scripts for Web Sphere, web application server.

●Responsible for continuous integration (CI) and continuous delivery (CD) process implementation-using Jenkins along with python and shell scripts to automate routine jobs.

●Worked with System health and performance Monitoring Tools like Splunk and replaced Splunk logging and analytics with an automated ELK cluster, increasing data capture capacity and reducing costs.

●Used Ansible to Setup/teardown of ELK stack (Elasticsearch, Log stash, Kibana) and troubleshoot the build issues with ELK and work towards the solution. Used Ansible playbooks for

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