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VamsiSr. DevOps EngineerMobile: PHONE NUMBER AVAILABLEMail: EMAIL AVAILABLEProfessional Summary:Demonstrated a robust career spanning over 9 years as a DevOps engineer, emphasizing expertise in DevOps practices, proficient Build and Release Management, adept Containerization skills, deep AWS knowledge, and seasoned Linux System Administration.Proficiently navigated UNIX environments, showcasing mastery in diverse flavors of Linux, including Red Hat, CentOS, and Ubuntu distributions.Led the design and deployment of numerous applications, leveraging a comprehensive suite of AWS services including EC2, VPC, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM, EBS, EKS, S3, Auto-scaling, and load-balancing. Ensured robustness, fault tolerance, and auto-scaling capabilities.Possess a profound understanding of Software Configuration Management principles, with a proven track record in aligning with Agile Methodologies for efficient software development and delivery.Worked with IAM service to set up new users, groups, roles, and policies using Terraform modules. Utilized Terraform and CloudFormation to simplify infrastructure provisioning.Proficient in orchestrating blue-green deployments seamlessly, ensuring uninterrupted operations and zero downtime in production environments.Developed and maintained comprehensive CI/CD pipelines using GitHub Actions to automate build, test, and deployment processes for various applications.Deployed and managed C# applications on cloud platforms (e.g., Azure, AWS) using infrastructure as code (IaC) tools like Terraform and ARM templates.Designed and implemented robust monitoring solutions using Prometheus, including setting up and configuring exporters to collect metrics from various systems and applications.Deployed and managed containerized applications on embedded devices using Docker.Implemented workflows to automate code quality checks, security scans, and dependency management, enhancing the development lifecycle efficiency.Worked on TERRAFORM for provisioning of Environments in GCP platform.Engaged with Microsoft Azure elements including Identity Access Management (IAM), encompassing Active Directory and Multi-Factor Authentication, Azure Virtual Machines, Storage Blobs, File Service, Networking, BizTalk, and Scheduler.Managed and optimized time-series databases in Prometheus, ensuring efficient storage and retrieval of metrics for real-time monitoring and historical analysis.Deployed and managed C# applications on cloud platforms (e.g., Azure, AWS) using infrastructure as code (IaC) tools like Terraform and ARM templates.Utilized and customized GitHub Apps to automate repository management tasks, streamline code reviews, and enforce branch protection rules.Experience with cross-compilation and toolchains for various embedded platforms (ARM, MIPS, etc.).Setup Alerting and monitoring using Stack driver in GCP.Created and fine-tuned alerting rules in Prometheus, setting up thresholds and conditions to trigger alerts, and configured notification channels (e.g., email, Slack) for timely incident response.Developed comprehensive cloud strategies and roadmaps, skillfully architecting innovative cloud solutions and orchestrating the seamless migration of enterprise applications to cloud environments.Designed, constructed, and managed automated build and release CI/CD pipelines utilizing Jenkins and Ansible for infrastructure, ensuring the reliability, availability, and optimal performance.Developed custom scripts for advanced automation tasks, such as automated issue triaging, pull request labeling, and repository settings management.Designed and built interactive dashboards in Grafana to visualize metrics collected by Prometheus, providing actionable insights into system performance and health.Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.Collaborated with cross-functional teams to integrate Terraform into the overall DevOps toolchain.Managed Docker containers and Kubernetes clusters within the OpenShift platform. Proficient in orchestrating Kubernetes clusters through Ansible playbooks, ensuring optimal performance.Experience working on several Docker Components like Docker Engine, Hub, Machine, creating Docker Images, Docker Registry and handling multiple images. Knowledge on Mesos, marathon.Extensively worked on Hudson and Jenkins for continuous Integration and End - to-End automation.Proficiently authored multiple Automation Scripts to streamline manual processes, deploy applications, and manage application build scripts using shell and python.Integrated security practices into the DevOps pipeline, incorporating automated security testing, static code analysis, and vulnerability scanning.Proficient in scripting languages such as Python, Bash, and Groovy for automation tasks and custom tool development.Utilized Grafana to identify bottlenecks and optimize system performance by visualizing key metrics such as CPU, memory usage, and response times.Designed, implemented, and managed cloud infrastructure using Terraform, ensuring consistent and repeatable infrastructure provisioning.Integrated machine learning models into CI/CD pipelines to automate decision-making processes and optimize resource allocation.Worked primarily on creating the reports for the merger project using COBOL-DB2 in Mainframe.Excellent hands-on experience on configuration management tools like Chef, Ansible, and Docker.Experience in Administration of source control such as Git Hub, Subversion SVN and Bitbucket.Worked with compliance teams to ensure that DevOps processes adhere to regulatory requirements and best practices, facilitating regular security audits and assessments.Implemented and optimized end-to-end CI/CD pipelines using tools like GitHub Actions, Jenkins, and GitLab CI, ensuring rapid and reliable software delivery.Automated the provisioning of cloud resources on platforms such as AWS, Azure, and GCP using Terraform scripts, reducing manual efforts and error rates.Integrated machine learning models into CI/CD pipelines to automate decision-making processes and optimize resource allocation.Created Tags and Branches, fixed the merger issues and administered Software Repositories.Automated processes with custom built Python and Shell scripts.Working on project to get concrete inventory from major cloud vendors AWS, Azure, GCP to maintain inventory and billing.Implemented AI-powered monitoring and alerting systems to proactively identify and resolve issues in production environments.Integrated AI-driven tools and platforms to automate and enhance DevOps processes, such as predictive analytics for deployment and anomaly detection.Developed and implemented incident response plans and security monitoring solutions to detect and respond to potential threats proactively.Experience in using Splunk, AppDynamics, Dynatrace, Nagios, IBM monitoring tools (TAM).Written Chef cookbooks and recipes to Provision Several preproduction environments consisting of Cassandra, DB installations and several middleware installations.Established build automation tools like MAVEN, Bamboo, Gradle and ANT for the building of deployable artifacts such as war and ear from source code.Created views for Mainframe file extracts based on business needs.Involved in configuring and integrating the servers with different environments to automatically provision and creating new machines using CM/Provisioning tools like chef and puppet.Utilized Tomcat and Apache web servers for deployment and for hosting tools.Experience on Open stack, SALT stack, knowledge in Dynamite, AutoSys and Zabbix monitoring.Technical Skills:Operating SystemLinux (RedHat 4/5/6/7, CENTOS), Unix, Solaris 11/10, Ubuntu 12/13/14, Windows NT, Windows 8, 12, 12R2, MacOS.Cloud PlatformsAWS, AzureWeb TechnologiesAngular 4, HTML5, CSS3Automation/Configuration Management ToolsJenkins, Chef, Puppet, Ansible, Kickstart, JumpstartVirtualization TechnologiesWindows Hyper-V, VMware ESXi, Virtual Box, vCenter, vSphere, Power VM, UbuntuContainerization ToolsKubernetes, Docker, OpenShift, SpinnakerApplication/Web ServerTomcat, Apache, Application Server, IIS, Oracle WebLogic Server 11gCI and Build ToolsANT, Maven, Hudson, BambooSDLCAgile, ScrumTesting and ticketing toolsSonarQube, Selenium, JIRA, ServiceNow, Remedy,ConnectWise,Monitoring and Logging ToolsNagios, Splunk, ELK, Datadog, DynatraceVersion Control ToolsGIT, GitHub, Subversion, Bit-Bucket, Clear CaseScriptingC,C++Python,C#, Shell Scripting, Ruby Scripting, Power Shell, YAML PerlDatabase SystemsOracle 10g/9i, SQL Server, MySQL, SQL Server, NoSQL, Mongo DB, CassandraNetworking/ProtocolDNS, DHCP, Cisco Routers/Switches, NIS, NFS, WAN, SMTP, LAN, FTP/TFTP, TCP/IP.Educational Qualification:Masters in computer science.Bachelor of Technology in Computer Science and Information Systems.Professional Experience:Volkswagen Credit, Libertyville, IL May 2022 - PresentSr. AWS/DevOps EngineerResponsibilities:Implemented Agile methodologies to streamline development workflows, ensuring collaboration between development, operations, and deployment teams.Utilized Terraform in conjunction with Git for version-controlled infrastructure deployments, enabling rollbacks and tracking of infrastructure changes.Integrated Prometheus monitoring into CI/CD pipelines, enabling automated performance testing and continuous feedback on the health of applications during deployments.Implemented Ansible for automated configuration management, ensuring consistent and reliable server setups across multiple environments.Authored and maintained complex Ansible playbooks for automating server provisioning, application deployment, and configuration management.Designed and implemented RESTful APIs to facilitate communication between microservices, ensuring high performance and scalability.Worked closely with development teams to educate them on using Grafana dashboards and Prometheus metrics for proactive monitoring and debugging.Developed and implemented comprehensive cloud migration and modernization strategies, demonstrating expertise in crafting scalable, flexible, and resilient cloud architectures on AWS.Designed and deployed multiple applications using a wide range of AWS services (EC2, VPC, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM, EBS, EKS, S3, Auto-scaling, load-balancing) ensuring high availability, fault tolerance, and auto-scaling within AWS CloudFormation.Designed and optimized low-latency, high-throughput infrastructure to support high-frequency trading (HFT) strategies, ensuring minimal trade execution time.Developed and maintained reusable, modular Terraform code, enabling rapid deployment and easier management of infrastructure across multiple environments.Utilized AI-based predictive analytics to enhance performance tuning and capacity planning in cloud environments.Experience in configuring the GCP Firewall rules in Terraform script to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.Employed API management tools to monitor, secure, and version APIs, providing robust backend support for applications.Fine-tuned network configurations, server setups, and middleware to achieve sub-millisecond latency, critical for HFT operations.Managed and maintained Terraform state files securely, ensuring accurate tracking of infrastructure resources.Authored and maintained complex Ansible books for automating server provisioning, application deployment, and configuration management.Automated deployment and scaling of HFT infrastructure using IaC tools, ensuring rapid response to market conditions.Developed and deployed machine learning models in DevOps workflows to improve system performance and reliability.Monitored cloud sec by creating the IAM roles to prevent cloud infrastructure access to the users.Orchestrated AWS infrastructure using Terraform, defining resources such as EC2 instances, VPC configurations, EBS volumes, EKS clusters, and S3 buckets.Implemented real-time monitoring and alerting systems tailored to HFT environments, enabling quick detection and resolution of performance bottlenecks.Conducted regular risk assessments and audits to identify potential data vulnerabilities and implement appropriate DLP controls.Designed and enforced DLP policies to protect sensitive data, ensuring compliance with industry standards and preventing unauthorized data access or leakage.Managed and automated infrastructure deployment using Azure DevOps Services to streamline CI/CD processes across multiple projects.Configured and managed audio streaming services and servers (e.g., Ice cast, SHOUT cast).Automated deployment and scaling of audio streaming applications using Docker and Kubernetes.Automated build and test processes for embedded systems using Jenkins/GitLab CI.Experience in Created clusters in Google Cloud and manage the clusters using Kubernetes(k8s). Using Jenkins to deploy code to Google Cloud, create new namespaces, creating docker images and pushing them to container registry of Google Cloud.Championed the adoption of Infrastructure as Code practices, leading to improved infrastructure consistency, scalability, and disaster recovery capabilities.Deployed and managed containerized applications on embedded devices using Docker.Integrated container orchestration tools like Kubernetes for efficient resource management in embedded environments.Hands of experience in GCP, Big Query, GCS bucket, G - cloud function, cloud dataflow, Pub/SuB cloud shell, GSUTIL, BQ command line utilities, Data Proc, Stack driver.Expertise in Mainframe Technologies like COBOL, JCL, CICS, TSO/ISPF and VSAM.Experience with cross-compilation and toolchains for various embedded platforms (ARM, MIPS, etc.).Automated cross-compilation processes and managed dependencies using tools like CMake and Yocto.Configured Azure Kubernetes Service (AKS) for container orchestration, ensuring scalable and resilient application deployments.Created and maintained reusable Terraform modules to standardize and simplify infrastructure deployment across multiple environments and projects.Utilized and customized GitHub Apps to automate repository management tasks, streamline code reviews, and enforce branch protection rules.Implemented security best practices and compliance checks within IaC templates, ensuring infrastructure adheres to organizational policies.Worked with compliance teams to ensure that DevOps processes adhere to regulatory requirements and best practices, facilitating regular security audits and assessments.Ensured consistency across development, testing, and production environments through IaC, minimizing configuration drift and deployment issues.Experience in google cloud platform (GCP) cloud by provisioning compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring components using the Terraform GCP Foundation modules.Maintained comprehensive documentation of IaC processes, enabling other team members to easily understand and contribute to infrastructure management.Utilized Terraform for the dynamic provisioning of resources, ensuring consistent and scalable infrastructure for the installation of open-source packages.Integrated security practices into the DevOps pipeline, ensuring continuous security through automated testing and compliance checks.Implemented GCP cloud solutions cloud SQL, storage bucket, cloud DNS, GKE Auto scaling groups in k8s cluster.Ensured the security and integrity of HFT systems through automated configuration management and continuous compliance checks. Automated testing of audio processing algorithms using custom scripts and CI tools.Excellent knowledge in scheduling Mainframe batch jobs through Scheduler.Designed, built, and coordinated an automated build and release CI/CD process using Jenkins and Ansible on the infrastructure to maintain the reliability and performance of Software Delivery.Worked as a DevOps Engineer for the Applications and Services at Silicus Technologies, developed using SOA/Micro Services principles mostly in Java/J2EE frameworks. Used Git, Maven, Jenkins, Ansible, AWS, Chef and Jira as tools for day to day build & release cycles.Leveraged CloudFormation in DevOps workflows, automating the deployment and scaling of applications. Integrated CloudFormation with CI/CD pipelines for automated releases and updates.Implemented Jenkins-GitHub integration to enable automated builds triggered by GitHub events, ensuring seamless CI/CD workflows, and using Jenkins Python Plugin, involved in writing shell scripts in the job configuration build steps to automate the build processes.Working collaboratively with GCP & AWS, reviewing cloud hosts performance in terms of bandwidth, health checks, disk stats, cloud billing and monitoring statistics.Worked on implementing the value-added processes (VAP) using JCL, COBOL, VSAM in Mainframe System to develop a tool to generate the JCL for testing automatically.Worked closely with DEV team, OPS team along with Deployment team to automate the process by using python scripts and troubleshooting of Pipeline (CI/CD) issues.Deployed resources in cloud using Terraform in GCP, AWS,Azure and Google Deployment Manager in GCP.Installing, creating and configuring Kubernetes and troubleshooting kube API, controller, scheduler, ETCD, pods, Deployments, Replication-controllers, kubelet and kube-proxy.Designed and implemented container orchestration with Kubernetes and virtualized the servers for the test and development environments using Docker containers.Implemented SRE practices in altering critical application issues and altering for site latency issues using GCP stack driver monitoring.Created and maintained CI/CD pipelines for .NET applications using Azure DevOps and Jenkins.Automated build, test, and deployment processes for C# applications, ensuring smooth and efficient releases.Implemented API gateway solutions to enhance security, load balancing, and routing for various microservices.Developed and maintained CI/CD pipelines for C/C++ projects using Jenkins/GitLab CI.Automated the build process using CMake and Makefiles, ensuring reliable and repeatable builds.Worked on Kubeflow installation and testing to validate the machine learning models.Worked on making HA Cluster of pods by using Kubernetes to avoid single point of failure.Worked in setting up infrastructure in Google Cloud Platform (GCP), Tencent Cloud.Troubleshooting the docker containers and their flannel network authentication inside a pod.Optimized Docker images (size & security) & defined multi-container applications and their dependencies, simplifying local development and testing environments.Worked with GCP Pub Sub to ingest messages from multiple sources across various Datacenters and subscribe to Elasticsearch.Developed and implemented incident response plans and security monitoring solutions to detect and respond to potential threats proactively.Used configuration management tools (e.g., Ansible, Puppet) to automate configuration and deployment of C# applications on Windows servers.Designed and enforced DLP policies to protect sensitive data, ensuring compliance with industry standards and preventing unauthorized data access or leakage.Conducted regular risk assessments and audits to identify potential data vulnerabilities and implement appropriate DLP controls.Established and configured the Ansible control machine or workstation using SSH protocol, enabling centralized management of configuration for nodes within the infrastructure.Utilized DLP tools and technologies to monitor, detect, and mitigate data loss risks across the organizations infrastructure.Expertise in setup deployment and management of system provisioning, configuration using ansible.Created Ansible Playbooks and Roles for deploying applications, managing configurations, and updating servers with custom inventory files and tasks.Creating shell scripts for application automation and bug fixing the bash code.Experienced in building pipelines for distributed stream processing using Kafka.Utilized Prometheus and Grafana for comprehensive metrics evaluation, providing valuable insights into system performance and resource utilization.Experienced in creating and debugging Python scripts for automating complex scenarios in application deployment and a strong understanding of scripting best practices for error handling.Creating docker images, containers with respect to application. Monitor the metrics in Grafana and logs in Kibana. This facilitated proactive troubleshooting through real-time insights.Managed complex data within Oracle databases, leveraging features like materialized views and partitioning to optimize queries and ensure high-performance applications.Worked on the POC of Seldon core, postman and REST API clients. Also worked on testing the data science team workflows.Environment: AWS (EC2, VPC, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM, EBS, EKS, S3, Auto-scaling, load-balancing) Docker, Terraform, Kubernetes, Ansible, Jenkins, Vcmts, Docsis, Kafka, bash, shell, CI/CD, Promethius, Grafana, Elasticsearch, Kibana, Git, Linux, python 2.7, Oracle, Maven, Postman, Rest.CGFNS International INC, Philadelphia, PA Aug 2020 - Apr 2022AWS/DevOps EngineerResponsibilities:At CGFNS, actively participated in the entire lifecycle of application development. Collaborated with stakeholders to translate their concepts and requirements into secure, operational solutions. ensuring applications streamlined CGFNS's international healthcare processes.Implemented automated unit testing and integration testing frameworks for C/C++ code using tools like Google Test and CppUnit.Monitoring applications, working on configuration support and Critical defect fixing. Involve in developing web-based applications using Angular 4, CANJS, jQuery, AJAX, HTML and CSS.Designed, developed, and deployed Microservices architecture on AWS cloud infrastructure, leveraging services such as ECS (Elastic Container Service) and EKS (Elastic Kubernetes Service) to orchestrate containerized applications.Automated build and test processes for systems using Jenkins/GitLab CI.Utilized API testing and monitoring tools to ensure reliability and performance of API endpoints in a production environment.Implemented alerting mechanisms for audio stream interruptions and quality issues.Implemented a robust CI/CD pipeline using Maven, Jenkins, and Git to automate software builds, testing, and deployments for application. This accelerated development speed and code quality.Leveraged Blue-Green deployments to minimize risk during software updates. This allowed for seamless rollbacks in case of issues, ensuring minimal disruption to critical healthcare services.Responsible for tagging and maintaining code on version control GIT.Worked on the job abends based on severity and responsible for tracking job status to ensure the mainframe batch cycle meets the SLA.Implemented automated unit testing and integration testing frameworks for C/C++ code using tools like Google Test and CppUnit.Automated cloud infrastructure provisioning using Terraforms IaC approach. Built reusable modules for configurations and services, simplifying deployments for web servers and AWS instances.Extensively used Mainframe COBOL and SORT to avoid DB2 usage, wherever possible to save operational costs.Set up monitoring and logging for audio services to ensure high availability and performance.Implemented alerting mechanisms for audio stream interruptions and quality issues.Implemented a robust CI/CD pipeline using Maven, Jenkins, and Git to automate software builds, testing, and deployments for application. This accelerated development speed and code quality.Leveraged Blue-Green deployments to minimize risk during software updates. This allowed for seamless rollbacks in case of issues, ensuring minimal disruption to critical healthcare services.Responsible for tagging and maintaining code on version control GIT.Worked on the job abends based on severity and responsible for tracking job status to ensure the mainframe batch cycle meets the SLA.Automated the creation and management of JAR and WAR files using Gradle. Jenkins pipelines were utilized to manage versioning and deployment of artifacts to Nexus repository.Automated Static Code Analysis tool PMD to the build process to validate the code against the coding Guidelines with SonarQube and published the reports.Performing a POC to drive Chef as the core deployment framework for all the in-house as well as to cloud-based deployments to Amazon EC2.Perform Build activities using Gradle and Jenkins tool by creating the build Gradle script.Automate the build Process Using Jenkins jobs and creating the Jenkisfile for the build process for all branches and pull requests.Provided support for mainframe job abends, correcting spaces issue jobs, rerunning jobsWorking on the Jenkins tool to configure Nightly Builds to check the sanity of our java source code and health check to the cloud services.Experience managing Docker containers and Kubernetes clusters on the OpenShift platform by utilizing Ansible playbooks to create Kubernetes clusters.Used Spot instances for Kubernetes worker nodes as a further cost cutting measure to decrease cluster costs by approximately 60%. Making sure the product working in EKS.Troubleshooting application related issues and extracting the error logs from Splunk and Kibana for debugging the log verification.Evaluated third-party tools for build/deployment automation purposes including Docker.Designed and Showcased CI/CD automation in a containerized environment using docker.I've extensively used CloudWatch Alarms to proactively monitor thresholds and trigger notifications or automated actions when predefined limits are breached.Conducted rigorous smoke and sanity tests for deployed applications, by utilizing Selenium and JUnit to ensure robust functionality.Writing Shell scripts for doing Deployment, health check status of web app servers, uplifting the testing and production environments and take the Git repository backups.Client Interaction with high Risk and Doing smoke testing for same and fixed the related Issue Immediately.Created and maintained documentation related to SCM activities.Environment: Git, Angular 4, CANJS, jQuery, AJAX, HTML, CSS (Application Development & Testing) Gradle, Maven, Selenium, Junit, PMD, SonarQube, Terraform AWS ECS, EKS, Chef Docker, Kubernetes, OpenShift, Ansible, Splunk, Kibana, CloudWatch, Jenkins (CI/CD Pipeline) Nexus, Shell ScriptingSymantec, Mount view, CA Mar 2018 - Jul 2020AWS EngineerResponsibilities:Maintain and improve automation in support of self-service DevOps pipelines for both backend and frontend development teams ensuring secure and efficient deployments.Implemented Continuous Integration and Continuous Delivery process using SVN, Jenkins, Maven, and Ansible to secure delivery of code, minimizing human error and potential vulnerabilities.Written deployment scripts in Shell and Ruby.Automated the configuration and management of audio devices in various environments.Utilized tools like ALSA, PulseAudio, and JACK for audio device setup and management.Automate Build and Deployments on Apache and CQ5 servers using Jenkins and ansible.Released and maintained secure Amazon Machine Images (AMIs) on a quarterly basis.Also familiar with writing YAML files with the help of predefined templates which can configure, place and provision applications.Written Ansible Playbooks to install required packages on cloud machines.Worked on Build and Release process for various servers like AEM and Apache.Written Ansible playbooks and ruby scripts to automate stop, start, restart, delete bundles, and deploy packages in the CQ5 server.Responsible for writing Bash, Shell, Perl, Python scripts to ping servers and adding users to the boxes and proficient in scripting languages to automate daily activities.Experience in building and deploying Java & SOA applications and troubleshooting failures.Evaluating code quality by reviewing selected issues through the web interface on SonarQube.Built end to end CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests and push build artifacts to Nexus using Nexus artifactory plugin.Deployed multiple databases and applications utilizing Kubernetes cluster management, including services such as Redis and Nginx for optimized resource utilization.Maintained the Kubernetes environment to oversee containerized applications.Regularly merged code from development branches to the release branch, facilitating integration and testing before deployment. created tags for releases.Setup pre-commit hooks to remove check in access to developers in the 'tags' folder.Rolled back buggy code from production release.Creation of RPM packages required for deployment into DEV, QA, REG and Production environments.Established automated continuous build pipelines in Jenkins, ensuring code is consistently built and tested upon every commit to SVN. facilitated rapid feedback and minimized the risk of regressions.Setup shell script in Jenkins jobs to do pre- and post-build