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SANGAIAH - Azure DevOps Infrastructure Engineer

[email protected]

Location: Columbus, Ohio, USA

Relocation: yes

Visa: H1B

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SINGAIAH NAIDU MANNEM [email protected] | +1(248) 823 8786 CLOUD ENGINEER CAREER SNAPSHOT IT professional with Around 9 years of experience and a proven track record in designing, implementing, and maintaining CI/CD pipelines for cloud-based applications. Proficient in leveraging Azure DevOps tools to streamline development processes and enhance team collaboration. Skilled in configuring and managing infrastructure as code using Azure Resource Manager templates and terraform. Experienced in automating deployment, monitoring, and scaling applications on the Azure and AWS cloud platforms. Strong problem-solving abilities and a commitment to delivering high-quality solutions in fast-paced environments. Experience in Azure Cloud Services (PaaS, IaaS & SaaS), Azure Storage, Azure Web Apps, Azure Active Directory, Azure Application Insights, Azure Logic Apps, Azure Data Factory, Azure Service Bus, Traffic Manager, Azure Search, Azure Monitoring, Azure Open Service Mesh (OSM), Azure Key Vault, ExpressRoute, Azure Load Balancing, Azure Application Gateways and Azure notification hub. Expertise in migrating the existing v1(classic) Azure infrastructure into v2 (ARM), scripting, and templating the whole end-to-end process. Migrated on-prems to Windows Azure by building Azure Disaster Recovery Environment, Azure Recovery Vault, and Azure Backups from scratch using PowerShell script. Expertise in designing Azure Resource Manager (ARM Template) to deploy multiple resources and extensive experience creating custom build steps using Power Shell. I also developed PowerShell scripts and ARM templates to automate the provisioning and deployment process. Managed Azure Container Registry to store private Docker images, which are deployed, and Azure pipelines to build, test, and deploy. Azure Monitor to collect metrics and logs. Configured Monitor to track performance and maintain security and used the Grafana tool to collect metrics and queries. Created scripts using Azure CLI for the services that don t support Power Shell. Involving in design activities for providing solutions for network security. Automate the operations for daily activities using Azure Automation accounts by publishing Runbooks and running them on Hybrid workers. Deployed and optimized two-tier web applications to Azure DevOps to focus on development by using services such as Azure Repos to commit codes, Test Plans to trigger application and unit tests, deployed artifacts to App Service, Azure Application Insights to collect health performance and data usage of the process. Expertise in configuring CI/CD pipeline using Jenkins, Azure DevOps to implement Continuous Integration and Continuous Delivery process, accommodate software teams with compilation and artifact deployment requests in an AWS, Azure cloud environment. Implemented end-to-end CI/CD pipelines using Bamboo with automated stages for Terraform Validation (terraform init, terraform validate), plan generation, and auto-approved apply-enabling consistent, repeatable infrastructure deployments via Git tags. Managed Terraform cloud as the remote backend for state management across multiple environment workspaces (Silver, NP01, NP02, PROD, DR), with VCS-triggered runs and environment-specific variable configurations using JSON config files. Integrated Hashicorp Vault for dynamic credential management including Azure Service principal authentication, AD domain join passwords, JFROG Artifactory tokens, and CipherTrust key retrieval eliminating hardcoded secrets from infrastructure code. Enforced enterprise-grade security using CipherTrust (Thales) disk encryption sets, Azure key vault, User Assigned Managed identifies, and Disk Encryption sets-applied consistently across all VM OS and data disks. Configured Active Directory domain join automation via Azure VM Extensions (JsonADDomainExtension), and post- provisioning VM configuration using custom script Extensions with PowerShell including Oracle client, SSMS, Tidal Agent, and package installations. Designed and provisioned Azure cloud infrastructure for a SQL Server Integration Services (SSIS) workload using Terraform, deploying 47+ resources including windows server 2022 VMs (Standard_E2ds_V4), Managed Disks, Network Interfaces, NSGs, Storage Accounts, File shares, and Private Endpoints across multiple environments (Silver, NP02, PROD, DR). Build a Disaster recovery Rehydration solutions using Azure Recovery services Vault, Backup Policies, Automation Accounts, and PowerShell Runbooks enabling automated restoration of production workloads into the silver environment for DR testing. Strong hands-on development experience with Python and Go. Consumed and maintained reusable CCOE Terraform modules from an Internal private registry (network interfaces, Windows VMs, managed disks, private endpoint, NSGs, storage shares) ensuring governance compliance and accelerating delivery. Experienced in network cross connection such as vnet to vnet peering, point to site, and site to site using VPN Gateway. Experience implementing CI/CD pipelines for application delivery. Implemented Azure Sentinel to create custom workbooks across the application. Also, used the built-in workbook templates to quickly gain insights across the data. Designed clusters using Auto Scaler for Azure Kubernetes Service (AKS) by using Terraform and worked with scheduling, deploying, and managing pods and replicas in AKS. Evaluated Kubernetes for Docker container orchestration and managed Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, templatized Kubernetes manifests, provided a set of configuration parameters to customize the deployment and managed releases of Istio and Helm packages. Experience in Kubernetes to deploy scale, load balance, and manage Docker containers with multiple names spaced versions and a good understanding of Open Shift Platform in managing Kubernetes Clusters. Expertise in SaaS, PaaS, and IaaS concepts of cloud computing architecture and Implementation using AWS, Azure, Google Cloud Platform GCP, and migrating on-premises applications to Cloud and orchestrated cloud infrastructure using Terraform, CloudFormation, and Azure Resource Manager (ARM) templates. Expertise on Amazon Web Services (AWS) including EC2, Elastic Load-balancers, Elastic Container Service, S3, Elastic Beanstalk, CloudFront, Elastic File system, Lambda, Elastic Cache, DMS, Kinesis, Direct Connect, Route53, CloudWatch, CloudTrail, CloudFormation, IAM, EMR and Elasticsearch. Extensive experience in designing and deploying applications utilizing all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, and IAM) focusing on high availability, fault tolerance, and autoscaling in AWS Cloud formation. Knowledge of monitoring, logging, and audit integrations in Azure. Worked on AWS DevOps tools like AWS Code-Pipeline to build a continuous integration or continuous delivery workflow using AWS Code-Build and AWS Code-Deploy, and worked with many other AWS tools to build and deploy a microservices architecture using ECS or AWS Lambda. I have built networking modules, application-specific infrastructure, and integrated private connectivity over the AWS/Azure backbone network. Worked with Individual app teams, gathered requirements, influenced cloud architecture for apps, and was responsible for doing POCs for the cloud architecture. Experienced in migrating on-premises, .Net apps, Azure DevOps platform to CI/CD processes by utilizing ARM templates (Azure Resource Manager), Azure DevOps, Azure CLI, Azure App services such as Azure Repos, Azure Test plans, Azure Boards and Azure Pipelines. Worked on setting up the Kubernetes sandbox on Azure Kubernetes Services (AKS) to test the different features and manage containerized applications using its nodes, ConfigMaps, selectors, services, and deployed application containers as Pods. Worked with RedHat OpenShift Container Platform for Docker and Kubernetes. Used Kubernetes to manage containerized applications using its nodes, ConfigMaps. Node-selector, Services and deployed application containers as Pods. Assisted in the integration of DevSecOps pipeline components, including using a code repository, an artifact repository, a security assessment platform, and an orchestrated integration and delivery platform to enable automated application building, testing, securing, and deployment. Implemented security layer on top of DevOps methodology and implemented security/vulnerability scans at every phase of the DevOps life cycle, starting from design to monitoring like FOSS, Fortify, and DAST to create a DevSecOps operational model. Design and manage user flows (built-in) and custom policies (Identity Experience Framework IEF). Set up local (email, username, phone) and federated identity providers (AAD, SAML, OIDC). Register and configure applications (web, mobile, SPA) in B2C. Debug policy execution using the B2C trace logs and Application Insights. Implement and manage RBAC on B2C tenant and application registrations. Manage multiple B2C tenants if needed (e.g., per region or brand). Ensure B2C tenant isolation and secure cross-tenant integrations if needed. Experience in Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their applications (CI/CD) to deploying on public or private clouds. Expertise in designing and deploying container-based production clusters using Docker, Kubernetes, Docker Weave, Docker Composer, and Docker files. Built Docker images, Docker daemon, Docker client, Docker hub, Docker swarm, Docker Console, and Docker registries using a Docker file, worked on container snapshots, removing Images, managing Docker volumes (PV, PVC) and Docker Weave for network communication between containers. Proficient in several Terraform modules for infrastructure management, terraform scripts to set AWS resources EKS, VPC, Subnets, NACL s RDS, EC2 s, SG s, ALB s S3, IAM, ELB, Images, Redshift cluster and automate the deployment & infrastructure. Migrated Terratest to Azure Terraform module to automate infrastructure code verification and created a new Terraform to deploy Azure services and implanted tests using Golang, Docker, and Travis CI. Expertise in deploying Ansible playbooks, inventories, and custom playbooks in YAML. Encrypted the data using Ansible Vault, maintained role-based access control using Ansible Tower, and implemented IT orchestration using Ansible to run tasks in a sequence that can work on different servers. Worked on Ansible and Chef as Configuration Management Tools (CMT) to automate repetitive tasks, proactively manage the changes, and quickly deploy critical applications. Experience in multiple areas of Jenkins like Plugin Management, Securing Jenkins, Performance issues, Analytics, Scaling Jenkins, Integrating Code Analysis and Test Phases to complete the CD pipelines within Jenkins. Installed, Configured, and automated the Jenkins build jobs for continuous integration and AWS deployment pipelines using various plugins like Jenkins EC2 and Jenkins Cloud formation. Implemented a centralized logging system using log stash configured as an ELK stack (Elastic search, Log stash, and Kibana) to monitor system logs, AWS Cloud Watch, VPC Flow logs, Cloud Trail Events, and changes in S3. Integrated Azure log analytics workspace with Azure services for monitoring the logs, storing them, and tracking metrics of user activities across the environments. Skilled in monitoring servers using Nagios, Splunk, ELK, Dynatrace, Datadog, AppDynamics, New Relic, and CloudWatch for Resource, Network, and Log Trace Monitoring, created geo-mapping visualizations using Kibana in integration with AWS CloudWatch and Lambda and evaluated system logs using ELK software stack and good understanding of Prometheus & Grafana a tool for event monitoring and alerting. Expertise in Linux Administration like RAID levels, Grub, Disk management, patch management, Networking, Scripting, Kickstart, LVM, CRON jobs, Performance monitoring, and troubleshooting on different distributions such as Red Hat, CentOS, Ubuntu, and Debian, along with file systems VxFS, ZFS, UFS, ext3, and ext4. Hands-on Experience in shell scripts, Bash, Ruby, Python, and PowerShell for setting up baselines, branching, merging, and automation processes across the environment using SCM tools like Git and SVN on Linux and Windows platforms. Experience in managing software artifacts required for development using repository managers like Nexus and JFrog Artifactory by writing Jenkins Pipeline and Groovy Scripts for Continuous Integration (CI) and later using Jenkins for uploading Artifacts into Nexus Repository. Developing and configuring new modules for Terraform Enterprise, creating new Azure security and Hashicorp Sentinel policies by developing with JSON and PowerShell. KEY SKILLS Cloud Technologies: Azure, AWS, open stack, GCP, Containerization: Docker, Docker Swarm, Kubernetes CI/CD Tools: Jenkins/Hudson, Azure dev0ps ,Azure (ADO), Azure Repos, Azure Pipelines, Azure Test Plans Configuration Management Tools: Ansible, Chef, Puppet, Ansible Tower Version Control Tools: GIT, GitLab Bitbucket, SVN, TFS, Subversion Scripting/programming Languages: Python, Shell (PowerShell/Bash), Ruby, YAML, JSON, Perl, Groovy, JavaScript, C, PHP, Java/ J2EE, .Net, Spring Core, Spring MVC, REST Web services Monitoring Tools: Splunk, Nagios, ELK, App Dynamics, Cloud Watch, Prometheus, Grafana Virtualization Technologies: VMware, Windows Hyper-V, Virtual box, Vagrant Operating Systems: Ubuntu, CentOS, RedHat Linux, Windows. Databases: MySQL, MS Access, NoSQL (MongoDB, Azure Cosmos DB, DynamoDB) Web Servers: HTTP 3.x, Apache Tomcat, Nginx Build Tools: Maven, Ant, Gradle Bug Tracking Tools: JIRA, Service Now, Remedy Repository Management: JFrog, Nexus, Artifactory. CERTIFICATIONS AWS Certified Solutions Architect Associate Microsoft Azure Administrator PROJECTS HANDLED ELEVANCE HEALTH (ANTHEM), Norfolk, VA as Lead Azure Cloud and DevOps Engineer: Nov 2025- Present Project Description: Elevance Health (Formerly Anthem), one of the largest US-based managed healthcare companies, providing health insurance and services across commercial, Medicaid, and Government Business Division (GBD) segments. The project involved end-to-end provisioning and management of Azure Cloud infrastructure for a SQL Server Integration Services (SSIS) workload across multiple environments including Silver, NP01, NP02, Production and Disaster Recovery. Leveraged Terraform Iac with Terraform Cloud as the remote backend, Integrated Bamboo CI/CD pipelines for automated deployments, and enforced enterprise security standards using HashiCorp Vault, CipherTrust disk encryption, and Azure Private endpoints. Delivered a fully automated secure, and governance-compliant infrastructure solution with Elevance Health s internal CCOE standards and mandatory tagging policies. Roles and Responsibilities: Implemented end-to-end CI/CD pipelines using Bamboo with automated stages for Terraform Validation (terraform init, terraform validate), plan generation, and auto-approved apply-enabling consistent, repeatable infrastructure deployments via Git tags. Responsible for designing, provisioning, and managing Azure cloud infrastructure using Terraform Iac, covering windows VMs, managed Disks, Storage Accounts, NSGs, Network interfaces, and private endpoints across Silver, NP01, NP02, PROD and DR environments. Developed and maintained Bamboo CI/CD pipelines with multi-stage automation (Validate plan - Apply) using Bamboo Specs (YAML), enabling Git tag-based deployment triggers per environment. Managed Terraform cloud workspaces for remote state management, variable configuration, and VCS triggered infrastructure runs across multiple environment-specific workspaces. Integrated HashiCorp Vault for dynamic secrets management handling azure service principal credentials, AD domain join passwords, JFrog tokens, and CipherTrust keys securely within the pipeline. Implemented CipherTrust (Thales) disk encryption and Azure Disk Encryption sets for VM OS and data disks, ensuring data-at-rest security compliance across all environments. Automated post-VM-provisioning configuration using Azure custom script Extensions and PowerShell scripts- including software installation (oracle Client, SSMS, Tidal Agent), disk initialization, and service account setup. Configured Active Directory domain join for Azure windows VMs using JsonADDomainExtension, integrating with the enterprise AD domain (WellPoint/Anthem). Designed and implemented a disaster recovery Rehydration process using azure Recovery Services Vault, Backup Policies, and PowerShell Automation Runbooks to restore production workloads into the Silver environment. Used python in the Rehydration setup for Silver environment. Setup Azure Private Endpoints and private DNS Zones for storage Accounts and Backup Vaults, ensuring secure, private network connectivity without public interest exposure. Consumed and governed reusable CCOE Terraform modules from an internal private registry, ensuring enterprise compliance, standardization, and faster delivery. Enforced enterprise tagging and naming conventions across all Azure resources for cost center tracking, patch management, ServiceNow ticketing, and CI ownership alignment. Troubleshoot and resolved infrastructure issues including Terraform state conflicts, Azure RBAC authorization failures, Bamboo Specs import errors, and environment-specific configuration mismatches. Build a Disaster recovery Rehydration solutions using Azure Recovery services Vault, Backup Policies, Automation Accounts, and PowerShell Runbooks enabling automated restoration of production workloads into the silver environment for DR testing. Applied enterprise tagging standards and naming conventions across all Azure resources, supporting cost center tracking, patch group management, ServiceNow integration, and CI ownership aligned with Elevance Health s mandatory tagging policy. TRANSAMERICA, Baltimore, MD as Azure Cloud DevOps Engineer: March 2023- Sep 2025 Project Description: Standard Chartered Bank is India s largest international bank (in terms of branch network) with 100 branches in 42 cities, and we have been operating here since 1858. Key client segments include Corporate, Commercial and Institutional Banking, Private Banking as well as Retail Banking.As a Azure Cloud DevOps Engineer, I lead efforts to optimize technological capabilities. Leveraging Azure DevOps, I automate deployment pipelines, implement monitoring solutions, and optimize infrastructure for scalability. Collaborating closely with development teams, I streamline continuous integration and delivery processes, ensuring high availability and security standards. Roles and Responsibilities : Build deployable War/Ear files using maven & Jenkins. Maintaining the versions of Jenkins artifacts in Nexus repository. Installing Plug-ins in Jenkins as per project requirements. As most of the infrastructure is hosted in AWS cloud. I am responsible for creating and managing EC2 Instances. Configuring EC2 instances with Cookbooks to enable an environment for deployment. Maintaining AMI of the Configured Ec2 instances. Creating Docker images and Containers. Improving the workflow with Docker Compose. Verify deployment logs to check for successful deployments. Post deployment, Bouncing of servers along with tmp & cache clean. Created and managed Azure Active Directory (AD) tenants, managed users and groups, and configured application integration with Azure Active Directory. Integrate on-premises Windows Active Directory with Azure Active Directory (AD), configure multi-factor authentication (MFA), and federated single sign-on (SSO). Configuring and deploying artifacts into several environments by using the primary automation deployment tool Chef. Use Chef and other configuration management tools to deploy consistent infrastructure code across multiple environments. Written groovy scripts to automate deployment of cookbooks on nodes and running the chef client on them in a chef solo environment. Created Chef cookbooks and recipes that kickoff post-install scripts. Deployed complex application deployments on Kubernetes Cluster and I have created horizontal pod auto-scaling for my pods in Kubernetes cluster. Deployed builds to different environments like DEV, QA, UAT environments by integrating Jenkins and Chef. Used Azure Container Instances (ACI) for data processing where source data is processed and placed in a durable store such as Azure Blob storage. Integrated Python scripts with Azure pipelines to perform various tasks such as code analysis, unit testing, artifact generation, and deployment to different environments. Utilized Azure DevOps YAML pipelines to define and configure build and release workflows as code, enabling version- controlled and reproducible pipeline configurations. Leveraged Python libraries such as Azure SDK for Python or the Azure DevOps Python API to interact with Azure services and Azure DevOps REST APIs programmatically. Created an Azure App Service plan in a specific region (App Service Environment) and used a set of compute resources for the applications to be deployed in the Azure App Service Environment to acquire the available Azure compute resources. Design and implement scalable enterprise monitoring systems by applying continuous integration/delivery concepts. Perform maintenance and troubleshooting of our enterprise Redhat OpenShift systems. Work to continuously improve the speed, efficiency, and scalability of OpenShift systems Used Shared Image Gallery to store the created images and built Azure pipelines in Azure DevOps to implement all these services in Azure. Used Azure DevOps YAML pipelines, GitLab CI pipelines, and Jenkins files in a declarative style pipeline. Utilized Azure DevOps YAML pipelines to define and configure build and release workflows as code, enabling version- controlled and reproducible pipeline configurations for GCP deployments. Good Knowledge of Azure Synapsis Analytics to combine the capabilities of Data Warehousing, Data Integrations, ETL pipelines, analytics tools & services for big-data capabilities, visualization & dashboards. Implemented Kubernetes (k8 s) concepts and implemented features such as Horizontal Pod Auto-scaling (HPA), Kubernetes (K 8 s) secrets, readiness & liveliness probes, Daemon sets, Config-maps, service accounts, etc. Additional components of the Prometheus stack inside Kubernetes by covering Kubernetes cluster components. Implemented Flux to make GitOps happen in the Kubernetes cluster to ensure that the cluster config matches the one in Git and automates the deployments. ASTRAZENECA, Cambridge, United Kingdom, as Site Reliability Engineer: Aug 2019- Feb 2023 Project Description: AstraZeneca, based in Cambridge, UK, is a leading global biopharmaceutical company focused on innovative healthcare solutions. As a Site Reliability Engineer, I was critical in strengthening and optimizing the company s IT infrastructure. Leveraging cutting-edge technologies like AWS and Kubernetes, I spearheaded critical system migrations and automated deployments and implemented robust monitoring solutions. Through close collaboration with cross-functional teams, I streamlined development workflows to ensure stringent availability and security standards. Roles and Responsibilities: Communicating with developers for build plan and build failures. Set up and built AWS infrastructure for various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, RDS, and JSON templates. Developed strategy to migrate Dev/Test/Production from an enterprise VMware infrastructure to the IaaS Amazon Web Services (AWS) Cloud environment including runbook processes and procedures. Designed AWS Cloud Formation templates to create custom-sized VPC, subnets, and NAT to ensure successful deployment of Web applications and database templates. Used AWS Beanstalk for fast deploying, scaling, and load balancing of web applications and services developed with Java, PHP, Node.js, Python, Ruby, and Docker on familiar servers such as Apache and IIS. I worked on AWS Beanstalk to deploy and scale web applications and services with Java, .NET, PHP, and Python to perform health checks. Integrated AWS Lambda with AWS DynamoDB to automatically respond to events in DynamoDB streams. Migrated on-premises DB to AWS RDS and used read-replica data stream for High Availability clustering so that RDS automatically creates a primary DB instance and synchronously replicates the data to a standby instance in a different AZ. I worked on deploying, configuring, monitoring, and maintaining the OpenShift Container Platform. Experience in Setting up Kubernetes (k8s) Clusters for running microservices and pushing microservices into production with Kubernetes Infrastructure. Development of automation of Kubernetes clusters via playbooks in Ansible. Deployed Kubernetes clusters on cloud/on-premises Environments with master/slave architecture and wrote many YAML files to create services like pods, deployments, stateful sets, and daemon sets. Created a release pipeline that automates the delivery process using AWS Code Pipeline and designed roles, groups for users, and resources using AWS Identity Access Management (IAM). Experience in converting existing AWS infrastructure to Server Less architecture (AWS LAMDA, Kinesis), deployed via Terraform and AWS Cloud formation. Managed and operated Continuous Delivery pipeline applications/tools and infrastructure. Such as Jenkins, Nexus/Artifactory, and SonarQube. Managing the OpenShift cluster includes scaling up and down the AWS app nodes. Migrated the existing GitLab CI/CD pipelines to a newer version of GitLab and ensured the Database was migrated properly. Used GitHub and Gitlab for version control. Integrated Jenkins CI with GIT version control, implemented continuous build based on check-in for various cross-functional applications and created GitHub WebHooks to set up triggers for commit, push, merge, and pull request events. Implemented cloud services IAAS, PAAS, and SaaS, which include OpenStack, Docker, and OpenShift. Managed artifacts generated by Jenkins & configured jobs with the Maven for various deployments of .Net enterprise applications in an Agile environment, automated solutions using Python & managed artifacts in Sonar type NEXUS repository. Use GitHub actions to build and deploy to Dev, test, stage, and Production. 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. Experienced in writing Terraform templates that can spin up infrastructure for multi-tier applications and provisioned boot-strapped software on the cloud with Terraform. Used Docker and Vagrant to manage development environments through the creation of Linux virtual containers. Developing Docker images to support Development and Testing Teams and their pipelines; distributed Jenkins, Selenium, and JMeter images; and Elastic Search, Kibana, and Log stash (ELK & EFK). Tetrate Service Bridge provides a multi-cluster control plane extending to VMs, bare metal, and multiple Kubernetes clusters and clouds. This enables customers to bring legacy applications into the service mesh more easily and quickly for a faster cloud-native/hybrid deployment. Worked on Docked-Compose and Docker-Machine to create Docker containers for testing applications in the QA environment and automated the deployments, scaling, and management of containerized applications across clusters of hosts. Written Chef Cookbooks for various DB configurations to modularize and optimize end product configuration, converting production support scripts to Chef Recipes. Implemented Chef Recipes for Deployment on build on internal Data Centre Servers. Also, the same Chef Recipes were reused and modified to create a Deployment directly into Amazon EC2 instances. Working on version control systems like GIT and used Source code management client tools like GIT Bash, GIT Hub, GIT GUI, and other command line applications. Set up SCM Polling for Immediate Builds with Maven and Maven Repository (Nexus Artifactory) by installing Jenkins Plugins for the GIT Repository. Experience in Kubernetes to deploy scale, load balance, and manage Docker containers with multiple name- spaced versions using Helm charts. Hands-on experience in Deploying Kubernetes Cluster on a cloud environment with master/minion architecture and writing many YAML files to create many services like pods, deployments, auto-scaling, load balancers, labels, health checks, Namespaces, Config Map, etc. Experience in Kubernetes to manage the deployment rollouts and rollbacks and create service mesh for traffic management in the production environment. Created pod, deployment, namespace, and replication controller YAML definition files to Schedule, deploy, and manage container nodes in different env dev/staging/prod clusters in Kubernetes. Worked more on monitoring the Kubernetes cluster with Sysdig, loggly, Grafana, and New Relic. Where I used to check for pod usage and disk pressures. Experience in creating Kubernetes clusters on blade servers and virtual machines using various CNI tools, including Calico and Flannel. Proficient knowledge of writing scripts for automating tasks at different levels of build and release using Bash, YAML, Ruby, Python, Groovy, and PowerShell for automating tasks. Monitoring daily builds using continuous integration tool BUBBLE.AI, New York, as AWS & DevOps Engineer: Oct 2017- June 2019 Client Description: Bubble is a New York based software company that offers a no-code application development platform. It enables entrepreneurs, startups, and developers to create fully functional web applications using a visual drag- and-drop interface. The platform supports workflow automation, database management, third-party integrations, and AI- powered features to accelerate product development Roles and Responsibilities: Designing, creating and maintaining GIT repositories as per the client specifications. (Linux/Ubuntu) and configuring the servers for specified applications. Performed Linux systems patch management configurations on Amazon EC2 instances. Implemented CI/CD using Jenkins, Docker& Kubernetes. Creating and Managing S3 buckets to store data. Responsible for creating Kubernetes, manifest files like daemon sets, replica sets, deployments. Experience in Kubernetes cluster setup and deploying applications in Kubernetes cluster. Worked on configuration management and containerization solutions such as Ansible, Docker. Managed and monitored the server and network infrastructure using Grafana and Promothues. Continuous Delivery is being enabled through deployment into several environments of Test, QA, and Production using Jenkins. Enabling the SonarQube Quality gates for the modules of the project to maintain the Stability of the code quality. Enabling the SonarQube Quality gates for the modules of the project to maintain code quality. Configuring and enabling the SonarQube through Jenkins pipeline jobs. Experience in Kubernetes cluster setup and deploying applications in Kubernetes. Managing snapshots, AMIs and Security Groups for server security and backup in case of disaster recovery. Worked with MAVEN build tool for building deployable artifacts. Installed and administered Nexus repository to deploy the artifacts generated by Maven and to store the dependent jars which are used during the build. Responsible for creating & configuring persistent volumes, persistent volume claims. Created Cloud formation templates to automate AWS infrastructure. Experience in Kubernetes cluster setup and deploying applications in Kubernetes cluster. Implemented CI/CD using Jenkins, Docker & Kubernetes. Worked on configuration management and containerization solutions such as Ansible, Docker. Worked on configuration management and containerization solutions such as Ansible, Docker. Continuous Delivery is being enabled through deployment into several environments of Test, QA, and Production using Jenkins. Responsible for creating & configuring persistent volumes, persistent volume claims. Created Cloud formation templates to automate AWS infrastructure. Worked on the Lambda functions to automate the tasks using python scripts. Creating new jobs in Jenkins and managing the build related issues. Monitoring daily builds using continuous integration tool Proficient knowledge of writing scripts for automating tasks at different levels of build and release using Bash, YAML, Ruby, Python, Groovy, and PowerShell for automating tasks. EDUCATION Bachelor of Technology in Electronics and Communications Engineering from JNTU Kakinada-2017 Keywords: cprogramm continuous integration continuous deployment quality analyst artificial intelligence javascript access management sthree database active directory information technology golang microsoft mississippi Arizona Maryland Virginia