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Lakshmi Bhavana - DevOps Egineer

[email protected]

Location: Milpitas, California, USA

Relocation: open

Visa: H1B

Lakshmi Bhavana Kondru Sr. DevOps Engineer (AWS/AZURE) 6788247757 [email protected] SUMMARY: Over 8+ years of experience in IT industry with major focus on AWS Cloud/DevOps, Continuous Integration and Continuous Delivery (CI/CD pipeline), Build and Release management, Linux/Windows administration and support. Worked on most of the AWS services EC2, IAM, S3, VPC, ELB, RDS, EBS, AMI, SNS, Cloud Watch, CloudFormation, Auto scaling, CloudFront, DynamoDB, AWS IoT, Redshift and Route53 and also knowledge in Google Cloud Platform. Troubleshoot and resolve issues for customers largely focused around Azure VMs, Azure App Services, Azure SQL Databases, Application Gateways, VPN Gateways, Azure AD, and Azure migrations. Provisioning Azure resources of different providers Compute, Network, Service Fabric, Application gateway using ARM template. Created several Terraform scripts to build the infrastructure in cloud environment and configured it using Chef Cookbooks. Led the architecture and implementation of containerized applications using Azure Container Service (ACS), achieving improved scalability and resource efficiency. Collaborated with cross-functional teams to integrate AEM with third-party systems, such as CRM and marketing automation platforms, to streamline data flow and enhance customer insights. Creating Grafana, Prometheus, Alert manger and Blackbox exporter deployments for the Kubernetes cluster, which helps to actively monitor and alerts based on the rules configured. Managed end-to-end AEM implementation projects, including requirement gathering, design, development, and deployment. Extensive experience using Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers. Artifactory is used DevOps for providing end-to-end automation and management of binaries and artifacts through the application delivery process that improves productivity across your development ecosystem. Artifactory is a universal DevOps solution for hosting, managing, and distributing binaries and artifacts. Installed Prometheus and Grafana using Helm to monitor the application performance in the Kubernetes cluster. Customized AEM components and templates to align with client branding guidelines, resulting in consistent and visually appealing web experiences. Implemented personalization strategies within AEM, increasing user engagement and conversion rates. Expertise in DevOps, Release Engineering, Configuration Management, and Cloud Infrastructure Automation tools like Git, Bitbucket, Maven, Jenkins, TeamCity, ArgoCD, Chef, Ansible, Terraform, Docker, Kubernetes, Nagios, and ELK. TECHNICAL SKILLS: Operating Systems: Red Hat Linux, CentOS 6 & 7, Ubuntu12.x, 13. x, 14.x, Windows 98, Vista, Windows Server 2003, 2008, 2012, VMware ESX and Mac OS. Cloud Platforms: Amazon Web services(AWS), Azure, OpenStack, PCF, GCP. Container Tools: Docker, Kubernetes, AWS ECS, AKS, ECR, ACS, Open Shift. Logging and Alerting: ELK stack, Splunk, Cloud Watch, SNS, New Relic, Prometheus, Grafana Build / Monitoring Tools: Dynatrace, Grafana, Nagios, Splunk, AWS cloud watch, ELK, ANT, MAVEN, Adobe Experience Manager(AEM). Automation Tools: Jenkins, Puppet, ArgoCD, Chef, Ansible, TeamCity, Bamboo, Terraform. Application Servers: Apache Tomcat, WebLogic, JBoss 5.x/6.x/7.x, Web Sphere Administration, IIS, and Nginx. Web Servers: Nginx, Apache HTTP, REST, SOAP, RPC, API Version Control Tools: BIT Bucket Subversion, TFS, Perforce, Subversion, TFS, GIT, GIT HUB, SVN. Databases: MySQL, Mongo DB, PostgreSQL, RDS, Elastic Cache, Oracle, Cassandra Scripting Languages: Ruby, Python, Golang, groovy, Unix Shell scripting, Node JS, XML, HTML, JAVA, JEE, JavaScript, Angular JS, Shell, Power Shell, JSON, YAML, .NET, AWS Lambda. Network Protocols: TCP/IP, NFS, DNS, VPN, SMTP, WAN, HTTP, LAN, FTP/TFTP, NIS, Juniper, VMware nexus switch, IP Networking, F5 load balancer, CISCO Routers/Switches, Palo alto Cloud Environments: AWS, Azure, Google Cloud (GCP) Configuration Management: Ansible, Chef, Puppet CI/CD Tools: CloudBees Jenkins/Hudson, Team City, Maven, SonarQube, Nexus Artifactory. Bug Tracking & Testing tools: JIRA, JUnit, JMeter Test Flight, Test Rail, Selenium. PROFESSIONAL EXPERIENCE: PayPal, San Jose. Mar 2023 Till Date. Sr. DevOps Engineer Key Responsibilities: Extensive experience using Kubernetes to orchestrate the deployment, scaling and management of Docker Containers. Utilized Argo CD for post-sync and implemented GitOps practices leveraging ArgoCD, GitHub actions and Kubernetes. Designed and implemented solutions that automate CI/CD pipelines and built a complete CICD pipeline on Jenkins for the deployment of applications. Deployed and tested various versions of the code, customized the images using Dockerfiles and made modifications to the code using Git VCS to clone, add, commit and push codes from local to master branches. Verified and troubleshooted failed Maven builds on Jenkins, managed Docker orchestration and containerization using Kubernetes and deployed snapshots of application codes to AWS EC2 and QA environments using playbooks and roles. Created IAM policies and roles to restrict access to users and numerous services within AWS. Automated cloud infrastructure using Terraform and cloudFormation, created and configured EC2 and wrote bash scripts with functions, variables and arguments. Installed and configured Kubernetes and clustered them, created clusters using Kubernetes and worked on creating many pods, replication controllers, deployments, labels, health checks and ingress by writing YAML files. Pushed Docker images to AWS ECR and pulled versions when rollback was needed. Extensive experience with ArgoCD, where I implemented GitOps practices, automated application deployments, validated changes and rolled back deployments when necessary. Configured ArgoCD settings such as adding new applications, creating projects and integrating with other DevOps tools. Troubleshoot ArgoCD issues such as resolving conflicts, debugging sync failures and upgrading the application. JFrog Artifactory is a repository manager that supports all available software package types, enabling automated continuous integration and delivery. JFrog Artifactory is used for all the binaries your pipeline generates, providing the control and certainty that enables your CI/CD to deliver new releases more frequently and reliably. Experience in writing Ansible playbook for installing WebLogic/tomcat application, deployment of WAR, JAR, and EAR files across all the environments. Participated in daily scrum meetings to address various development, DevOps and customer issues. Scheduled jobs using Ansible Tower and have written Python modules for Ansible customizations. Environment: AWS, Ansible, uDeploy, ArgoCD, Terraform, Docker, Kubernetes, Splunk, Chef, SQL, Python, PowerShell, Windows, JSON, GIT. Blue Acorn iCi, Raleigh, NC Oct 2022 Feb 2023 Sr. DevOps/Cloud Engineer Responsibilities: Experience in creating the company's DevOps strategy in a mix environment of Linux (RHEL, Ubuntu, CentOS) servers along with creating and implementing a cloud strategy. Experience in using Cloud Infrastructure management and Implementation Working experience on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites. Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, Scheduling, Auto Scaling, and Power Shell Automation. Extensive working experience with different SDLC methodologies such as Agile and Waterfall with an ability to be creative and to take self-initiatives to execute/manage multiple projects in parallel during time critical situations. Deployed Azure IaaS Virtual Machines (VM s) and PaaS role instance s (Cloud Services) into secure VNets and subnets, designed VNets and Subscriptions to confirm to Azure Network Limits. Integrated Splunk Enterprise with Dynatrace to monitor the performance of the application, managing Splunk Forwarder on centralized deployment server. Designed and implementing AWS Cloud Infrastructure by creating templates for Aws platform also used Terraform to deploy the infrastructure necessary to create development, test and production environments. Configured Jenkins as a build engine to build and deploy applications to DEV, QA, UAT and PROD environments. Used Kubernetes to manage containerized applications using its node, ConfigMaps, selector, services and deployed application container as Pods. Configured commercial SSL certificates for high availability architecture applications Servers such as Web Spheres, WebLogic, Tomcat using NGINX and Apache web servers to terminate SSL endpoint. Maintained the user accounts (IAM), Cloud SQL, CloudDNS, VPC, RDB, Cloud Datastore Cloud Bigtable, SQS and Cloud Pub/Sub services in Aws. Experience in migrating on-premise data center to Aws cloud using VM Import/Export, Aws Data Migration Services. Experienced managing release planning and branching strategy of GIT servers and worked on creating repositories in GIT Stash for multiple applications configured GIT repositories in CI setup in Jenkins and Injected Groovy scripts in Jenkins for dashboard and customized email triggers. Environment: Azure, Aws, uDeploy, Kubernetes, Docker, Swarm, Jenkins, Ansible, Jira, Confluence chef, Git, Git-Hub, Maven, MemSQL, Artifactory, PowerShell Windows, Terraform, JIRA, Apache Tomcat, Shell Script, Python, Linux, Dynatrace, Splunk. MAF Group, London Apr 2020 Aug2022 Cloud DevOps engineer Responsibilities: Configuring and maintaining an AWS Virtual Private Cloud (VPC), Public and Private Subnets, NACL's, RouteTables, ELBs, Security Groups and EC2 instances. Developed Dev, Test and Prod environments of different applications on AWS by provisioning Kubernetes clusters on EC2 instances using Docker, Ruby/Bash, Chef, and Terraform. Creating Ansible roles using YAML such as tasks, variables, files, handlers, templates and writing playbook for that role, writing Ansible scripts and used Ansible for configure Tomcat servers and maintenance. Integrating various Version control tools, build tools, nexus and deployment methodologies (Scripting) into Jenkins to create an end to end orchestration build cycles. Actively involved in the development of test environment on Docker containers and configure the Docker containers using Kubernetes while automating build and deployment to reduce human error and speed up production. Deployed all Kubernetes clusters in AWS with AWS EKS, and deployed all Kubernetes clusters in datacenter with Kubespray. Artifactory is a software repository management solution for enterprises available on-premise or from the cloud, providing fast release and pipeline automation. The Jenkins Artifactory plugin integrates Jenkins and Artifactory to publish, resolve, promote, and release traceable build artifacts Defined dependencies and plugins in Maven pom.xml for various activities and integrated Maven with GIT to manage and deploy project related tags. Setting up databases in AWS using RDS, Dynamo DB, storage using S3 bucket and configuring instance backups and archives to Glacier archives. Used Jenkins as Continuous Integration tools to deploy the Spring Boot Micro services to Pivotal Cloud Foundry (PCF) using build pack. Used Terraform for automating VPC's, ELB's, Security Groups, SQS queues, S3 buckets and continuing to replace the rest of our infrastructure. Scheduled automated builds using Jenkins. Created and applied Baselines and Labels for each Build Artifacts. Designed & executed automation test scripts using Java as a programming language. Migrated few Cloud Formation templates to Terraform by using various AWS modules and Secured the Terraform state file in S3 buckets. Environment: AWS, Terraform, PCF, Kubernetes, Artifactory, Ansible, Chef, Jenkins, Docker, Maven, Dynamo DB, Java, New Relic, Splunk, SHELL, Python, Linux, GIT, OpenStack, Cloud Formation Optum, Hyderabad Oct 2018 Dec 2019 Sr. Aws/DevOps Engineer Responsibilities: Experience in Amazon EC2 cloud Instances using Amazon Web Services (Linux/Ubuntu/RHEL) and configuring launched instances for specific applications by creating the automated Build and Deployment. Expertise in Amazon AWS Cloud Services and administration which include EC2, ELB, EBS, IAM, S3, Route53, CloudFront, Lambda, CloudTrail, Amazon CLI, Amazon VPC. Used Cloud watch to monitor resources. Managed security groups on AWS focusing on high-availability, fault-tolerance, and auto scaling using Terraform templates. Along with Continuous Integration and Continuous Deployment with AWS Lambda and code pipeline. Setup systems from the console and created CloudFormation documents CloudWatch, CloudTrail and adding alerts from CloudWatch, CloudTrail and triggers. Created and configured Firewall OS upgrades and maintenance of OS updates as part of addressing vulnerabilities Firewall polices and NATs on Check point security gate ways. Environment: AWS, Shell Scripting, uDeploy, octopus, Ansible, Chef, Docker swarm, Kubernetes, Vagrant, MAVEN, UNIX, Linux and AWS, EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53, Cloud watch, cloud formation. ValueLabs, Hyderabad, India Jan 2017 Aug 2018 AWS & DevOps Engineer Responsibilities: Worked on public cloud infrastructure preferably using AWS Product and Services EC2, virtual private cloud (VPCs), IAM, Security groups, Elastic Beanstalk, S3, CloudFormation, RDS, Lambda, Redshift, SQS, SNS, Cloudwatch and Security Services AWS Shield, AWS Trusted Advisor, cloud front, CloudTrails. Provisioned EC2 instances into AWS by using Terraform scripts from scratch to pull images from Docker and performed AWS S3 buckets creation, policies on IAM role-based policies and customizing the JSON template. Performed regular CRON jobs updates and Configured Jenkins to implement nightly builds on daily basis and generated change log that include changes happened from last 24hours. Orchestration of Docker images and Containers using Kubernetes by creating whole master and node. Environment: Aws, Azure, GIT, Jenkins, TFS, TOM CAT web services, Docker, EC2, S3, RDS, EBS, auto scaling, Opsworks, Kubernetes, Ansible, Nagios, Jira, VMware Bash, Python and Ruby, Unix/Linux, Windows, RHEL 4/5/6, CentOS. IBM India Pvt Ltd, Bangalore May 2015 Nov2016 DevOps Engineer Responsibilities: Deployed all content cloud platforms on Amazon web services using EC2, S3, Route 53, RDS, EBS, ELB, DynamoDB, Auto Scaling Groups and Optimized volumes. SQS and SNS services in AWS cloud. Using Jenkins AWS Code Deploy to deploy. Responsible for code build, release and configuration on Amazon EC2. Worked on taking regular backups for Amazon cloud instances and setting up of environments for the application launching and Release process for projects early in SDLC. Maintained and administered GIT source code tool and Created Branches, Labels and performed Merges. Researched and implemented an Agile workflow team to deliver an end to end continuous integration and testing of applications using Jenkins. Tools: UNIX, LinuxRedHat4/5, CentOS4/5, AWS, EC2, Jenkins, GIT, SVN, Maven, Ant, Docker, swarm, SQL server 200, SQL server 2008R2/2012, Apache HTTP server, IIS, AWS, VMware, ESX, Python, Shell scripts. Education Bachelors in Electronics and Communication Engineering: Vidya Vikas Institute of Technology. Masters in Advanced Computer Science: Univ Keywords: continuous integration continuous deployment quality analyst javascript sthree database active directory information technology ffive North Carolina