Ravikumar U
Newark,DE
Summary
Sr Cloud DevOps engineer with over 11+ years’ experience in Cloud (Azure, AWS), DevOps, Configuration management, Infrastructure automation, Continuous Integration and Delivery (CI/CD). Experience in dealing with Unix/Linux and Windows server administration.
Overview
11
11
years of professional experience
Work History
Sr Cloud Engineer
Penske Truck Leasing
Philadelphia, Pennsylvania
07.2023 - Current
- Worked on Microsoft Azure Cloud (Public) to give IaaS support to customers
- Make Virtual Machines through Powershell Script and Azure Portal
- Oversee and Create a Storage Account and Affinity Group in Azure Portal
- Designed and configured Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, and Security policies & configured BGP routes to enable ExpressRoute and site-to-site VPN connections between on-premises data centers & Azure cloud
- Led implementation of Azure Active Directory for single sign-on and Authentication for Web Applications
- Also configured Azure Role-based Access Control (RBAC) to segregate duties within our team and grant only the amount of access to users that they need to perform their jobs based on the Roles defined
- Created and deployed VMs on the Microsoft cloud service Azure, created and managed the virtual networks to connect all the servers, and designed ARM templates/Terraform for the Azure platform
- Configured three types of blobs, block blobs, page blobs, and append blobs in Azure for storing a large amount of unstructured object data such as text or binary data, that can be accessed via HTTP or HTTPS and enabling data redundancy and Lifecycle Rules and Events
- Worked on Managing the Private Cloud Environment using Ansible and Enhanced the automation to assist, repeat, and consist of configuration management using Ansible-based YAML scripts
- Set up custom Domains and configure network security group (NSG) rules to specify ingress/egress traffic restrictions
- Worked on Terraform to create the various services like AKS, ACR, VNET, VM ..etc as infrastructure as code in various environments as per the project need
- Created inventory in Ansible for automating CD & developed Ansible playbooks and Roles using YAML scripting
- Used ELK stacking to monitor the logs for detailed analysis, worked on dashboarding using Elastic, Logstash & Kibana (ELK), & set up real-time logging & analytics for CD pipelines & applications
- Worked on the creation of Docker images on top of microservices and deployed them on Azure Kubernetes services
- Worked on Kubernetes cluster creation and creation of Deployments, services, RBAC, and Ingress
- Worked on using a GIT branching strategy that included developing branches, feature branches, staging branches, and master
- Pull requests and code reviews were performed
- Azure Automation through Runbooks Creation, Migration of existing.PS1 scripts, Authorizing, Configuring, Scheduling
- Configured ServiceNow to receive instant notifications of any configuration changes in the cloud environment by orchestrating through Logic Apps
- Migration of on-premises data (Oracle/ SQL Server/ MongoDB) to Azure SQL/Cosmos DB using Azure Data Factory
- Experience in Azure infrastructure management (Azure Web Roles, Worker Roles, SQL Azure, Azure Storage, Azure AD Licenses) using Terraform and managed Azure Infrastructure through Blueprints and Landing Zone
- Experienced in utilizing Azure Stack (Compute, Web & Mobile, Blobs, ADF, Resource Groups, Azure Data Lake, Azure Data Factory, Azure SQL, App Services, and Cosmos DB) and services for configuring and deploying Azure Automation Scripts for multiple applications
- Deployed multiple microservices into Azure Kubernetes by Dockerizing them and using Jenkins and Azure DevOps
- Migrated the Build forge projects to Azure DevOps with all the work items, and source codes, and built and released pipelines by using the custom PowerShell tool
- Developed build workflows using Gradle, Gitlab-CI, Docker, and OpenShift
- Integrated Docker container orchestration framework using Kubernetes by creating pods, and deployments
- Extensively used Azure PaaS solutions and hosted Isolated App service environment integrated with PaaS Azure SQL and Virtual network to host different types of applications like Web apps, API App, Function Apps, etc
- Create CI/CD pipelines for the deployment of services and tools to the Kubernetes cluster hosted on Bare Metal
- Deployment of CNF on Kubernetes clusters using Helm charts and the TCA tool
- Monitors the Kubernetes Cluster jobs and performance
- Working on upgrading Kubernetes cluster, commissioning & decommissioning of Nodes, Pods
- Configured Azure Infrastructure Automation using Terraform scripts and launched various services like AKS, ACR, VM, and VN Etc
- Designed Network Security Groups (NSGs) & Load Balancers to control inbound and outbound access to network interfaces (NICs), VMs, and subnets
- Experience in creating the infrastructure by using the Terraform for various environments
- Implemented HA and reliable deployment models with Azure Classic and Azure Resource Manager
- Configured Azure Active Directory and IAM to manage users and groups privileges also user account management (SSO/SAML) and multifactor authentication
- Involved in firewall deployment and management in Azure such as Palo Alto, and Azure Firewall
- Implemented automated build & operational tasks using Python and Powershell scripts
- Implemented Serverless Cloud Services using Azure Functions with application insights
- Implemented a CI/CD pipeline using Azure DevOps (VSTS/TFS) in both cloud and on-premises with GIT, MS Build, Docker, and Maven along with Jenkins pipeline builds & YAML/JSON
- Developed and maintained Continuous Integration (CI) using tools in Azure DevOps (VSTS) spanning multiple environments, enabling teams to safely deploy code in Azure Kubernetes Services (AKS) using YAML scripts and HELM charts
- Worked on creating, configuring, and managing AKS clusters in Azure, including managing node pools, configuring networking, and setting up load balancing
- Managing the Azure Kubernetes Services (AKS) policies, providing access to different Azure resources, and developing and improving the workflows that govern access
- Monitoring and troubleshooting Kubernetes clusters using Prometheus and Grafana
- Worked with Grafana to monitor and visualize system metrics, application performance, and other data sources
- Experienced with developing Ansible Playbooks, Modules and Kubernetes Nodes, Pods, Config Maps, Selectors, Services etc.
- Environment: Azure Cloud, robotics Linux, spark GIT, Urban Code Deploy C#, Splunk, ansible, docker, Python, App gateway, TFS, Security, Terraform, Tomcat, Jenkins, Virtualization, SQL Database, Kubernetes, Terraform, Jira.
Cloud Engineer
ADP
Atlanta, GA
01.2022 - 06.2023
- Migrated the current Linux environment to AWS/RHEL Linux environment used auto scaling feature and was involved in Remediation and patching of Unix/Linux Servers
- Configured and managed Cloud Infrastructure in AWS including EC2, Route53, S3, RDS, Lambda, EFS, S3 Glacier, Resource Access Manager, IAM, CloudFront, Cloud Watch, Elastic Load Balancer, Security Group, focusing on Auto scaling and high - -availability
- Used GIT as SCM in branching, tagging, and maintaining the versions across the environments and used for recovering files, saving changes for later (Stash), creating tags, viewing logs, etc
- Created and configured GitHub Actions workflows to automate application builds for Java, .NET, and Progress applications, enabling seamless continuous integration across multiple technology stacks
- Built scripts using Maven in Jenkins and SonarQube for continuous delivery through Deployment from one environment to another environment
- Deployed applications into PROD & Pre-Prod environments with various Web-Application servers like Jboss & Apache Tomcat
- Developed and maintained continuous integration and deployment systems using ANT, Maven, Gradle, JUnit, Selenium, SonarQube, Jfrog, and Nexus
- REST API and serverless development using Node.js on AWS Lambda, SQS, SNS, SES, and API Gateway
- Leveraged Boto3, the Python SDK, to build scalable and secure applications on AWS
- Used Boto3 for programmatic access to AWS services like EC2, S3, and DynamoDB from Python code
- Container builds/deployments using Multi-Stage Docker files, Docker Compose, and Docker Swarm Stacks
- Implemented a production-ready, load-balanced, highly available, and fault-tolerant Kubernetes infrastructure
- Worked on Kubernetes to manage containerized applications using its nodes, ConfigMaps, and selector services and deployed application containers as Pods
- Managed Clusters using Kubernetes and worked on creating many pods, replication controllers, services, deployments, labels, and health checks
- Design, build, secure, and manage clusters/workloads running on self-managed Kubernetes (Kops), Amazon EKS (Amazon Kubernetes Service), Amazon ECS, and AWS Far gate
- Implemented deployments into AWS EC2 instances using Terraform and managed, and maintained added plugins to support new functionalities of Terraform
- Worked on Terraform for managing the infrastructure through the terminal sessions and executing the scripts for creating alarms and notifications for EC2 instances using Cloud Watch
- Migrated Containers running at On-Prem OpenShift cluster to EKS Cluster by writing HELM Charts and integrating with Jenkins
- Proficient in utilizing the Terratest framework to automate testing and validation for Terraform infrastructure deployments, ensuring correctness and stability, thereby enhancing reliability and efficiency
- Experienced in effectively managing Terraform state files to maintain infrastructure-as-code consistency, ensuring proper tracking, version control, and collaboration across teams, contributing to streamlined and efficient deployment workflows
- Used Ansible and Ansible Tower as Configuration management tools, to automate repetitive tasks, quickly deploy critical applications, and proactively manage change
- Configured and managed S3 versioning and lifecycle policies to backup files and used Glaciers to Archive data
- Deployed OpenShift Infrastructure Through Terraform and configured the Master Nodes, Infrastructure Nodes, and application nodes
- Implemented centralized container logging and monitoring using CloudWatch, Prometheus, and Grafana
- Design, build, and manage the ELK (Elasticsearch, Logstash, and Kibana) cluster for centralized logging and search functionalities for the App
- For better caching of images, implemented Amazon CDN (Content Delivery Network) using CloudFront to deliver data with less latency and high performance
- Setting up Jenkins Credentials with AWS Secrets Manager for storing Application configuration data and all App Settings changes
- Written Lambda functions in Python for AWS Lambda, Kinesis, and ElasticSearch, which invokes Python and Bash Shell scripts to perform various transformations and analytics on large data sets in EMS clusters
- Solution and implement object storage using AWS S3, CloudFront, Akamai, and Cloudflare
- Used Jira for defect/issues logging & tracking and documenting all work using Confluence..
Azure DevOps Engineer
HD Supply
Atlanta, USA
06.2021 - 12.2022
- Designing, planning and implementation for existing On-Premises applications to Cloud
- Responsible to be primary SME on Azure services including SaaS, PaaS and IaaS while contributing architecture decisions and tasks for ongoing migration efforts
- Automated rollback procedures in Urban Code Deploy pipelines, minimizing downtime and reducing the impact of deployment failure
- Remote login to Virtual Machines to troubleshoot, monitor and deploy applications
- Provisioned Azure resources like SQL Database, Web App, Storage Account, Redis Cache, Virtual Machine, IoT Hub, and HDInsight using Azure Resource Manager (ARM)
- Experience in creating and designing the Terraform templates to create custom sized Resource groups, Kubernetes cluster, Container, blob storages, IOT hub, Event hub
- Infrastructure as a code deployment of Web application templates
- Implemented self-service environments in Urban Code Deploy, empowering development teams to provision environments on-demand
- Implemented centralized logging solutions (e.g., ELK stack) to collect and analyze logs from distributed robotics systems, aiding in troubleshooting and performance optimization
- Maintained Gitlab runner instances in AWS which help in running the Jenkins CI pipelines for developers and assisting them in deploying
- Their applications into the Kubernetes cluster
- Utilized and supported the use of GitLab Runners and Jenkins for Continuous Integration (CI) to implement CI
- Configure and administrate spark GitHub standalone cluster
- Automated infrastructure provisioning and configuration management using tools such as Ansible and PowerShell DSC, ensuring consistency and reliability across C# application deployments
- Mention any specific projects you've worked on within GCP, emphasizing your contributions and achievements
- Conducted performance tuning and optimization of Oracle Database instances on Oracle Cloud Infrastructure, enhancing application responsiveness and scalability
- Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal
- Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments
- Implemented the integration between App services with Application Insights for monitoring the Activity logs of web-apps and automation for deployments by using YAML scripts for massive builds and release Management
- Ensured Azure services beyond basic IaaS functionality and Used Azure Resource Manager (ARM) to deploy, update, or delete all the resources for your solution in a single, coordinated operation
- Developed custom monitoring solutions using Prometheus and Grafana to monitor C# application performance, resource usage, and health metrics
- Orchestrated CI/CD pipelines leveraging Autosys for scheduling and executing automated builds, tests, and deployments
- Orchestrated the provisioning of infrastructure and environments using Urban Code Deploy environment management capabilities
- Monitor spark jobs on UI AKS and Tune spark environment and code to improve performance of Spark job
- Configured Azure Backup Service for taking backup of Azure VM and data of on premise to Azure and Leveraged Azure Automation and PowerShell, Ansible to automate processes in the Azure Cloud
- Created Clusters using Kubernetes and worked on creating many pods, replication controllers, services, deployments, labels, health checks and ingress by writing YAML files
- Integrated existing APIs to Azure API management to get all the attributes like security, usage plans, throttling, analytics, monitoring, and alerts
- Conducted regular security assessments and audits of robotics systems, identifying and addressing potential vulnerabilities to safeguard sensitive data and ensure operational integrity
- Used Terraform to reliably version and create infrastructure on Azure
- Created resources, using Azure Terraform modules, and automated infrastructure management
- Delegating the Production Deployment process to IPS Team and monitoring the production rollouts and validation process
- Environment: Azure, GIT, Puppet, robotics spark Ansible, Release Management Urban Code Deploy, SAN, Terraform, Windows and Linux, TFS, JavaScript, Monitoring tools App Dynamics, Splunk, Groovy scripts, Autosys Kubernetes.
DevOps/SRE Engineer
Mr.Cooper
Irving, TX.
02.2020 - 05.2021
- Consulted and recommended clients in Build and Release Management Implementation
- Implemented SRE practices in altering critical application issues and altering site latency issues
- As an SRE, managed disaster recovery and tested the disaster recovery plans before roll outs
- Utilized SCM/Build tools to aid developers in resolving issues such as merge conflicts, compilation errors, and missing dependencies
- Participated in the migration and automation processes of DevOps for building and deploying systems
- Deployed Dynatrace and CloudWatch to monitor the AWS resources comprehensively, including EC2 instances, S3 buckets, RDS databases, and network configurations
- Developed custom monitoring dashboards in Dynatrace and CloudWatch to gain real-time insights into system performance, resource utilization, and application health
- Configure automated alerting rules within Dynatrace and CloudWatch based on predefined thresholds and anomaly detection algorithms
- Establish escalation policies and on-call rotations to ensure timely response to critical incidents
- Integrate with communication platforms like Slack or AWS SNS for efficient alert notifications and team collaboration
- Utilize Splunk for centralized log management and analysis to understand system behavior, application errors, and security events
- Develop custom Splunk dashboards and reports for visualizing log data and identifying trends
- Integrate Cribl to enrich, filter, and route logs effectively before indexing in Splunk, optimizing data volume and search performance
- Develop Python, Bash scripts and automation workflows to streamline routine operational tasks such as instance provisioning, configuration management, and deployment
- Utilize GitLab for version control and CI/CD pipelines to automate infrastructure changes and application updates seamlessly
- Design and implement a robust disaster recovery strategy to ensure business continuity in case of infrastructure failures or data loss
- Utilize AWS Backup for data replication and AWS Disaster Recovery services for failover orchestration between primary and secondary environments
- Conduct regular DR drills and performance testing to validate the recovery plan and identify areas for improvement
- Automated tasks using Ansible, Python, Perl, or shell scripting with a focus on precision, standardization, and adherence to processes and policies
- Proficient in crafting Terraform and Cloud Formation Templates (CFT) in YAML and JSON formats to construct AWS resources, emphasizing Infrastructure as Code principles and implementing cost-saving measures
- Proficient in managing Docker images, including retrieving existing images from Docker Hub, building custom images using Docker files, and pushing images to remote repositories
- Collaborated within an agile development team to deliver a comprehensive continuous integration/continuous delivery (CI/CD) solution in an open-source environment, leveraging tools like Puppet and Jenkins
- Developed Puppet manifests and modules to automate deployment processes and integrated them into Jenkins jobs for continuous delivery (CD)
- Integrate source control systems using Git and build automation tools Jenkins, GitLab CI/CD to enable continuous integration and delivery of software
- Deployed EC2 instances on AWS, including various flavors such as Oracle Linux, RHEL, CentOS, Ubuntu, and Solaris on both Linux and Windows platforms
- Used Google's SRE (site reliability engineer) culture to maintain dependable infrastructure while adhering to essential elements such as SLIs, SLOs, and SLAs
- Conduct post-mortems with teams following each rollback or deployment failure
- Established and automated the CI/CD process, managing the Build and Deployment Platform and coordinating code promotions and deployments using Jenkins
- Experienced in working with .Net applications, performing branching, tagging, and release activities on Version Control Tools like GIT and Subversion (SVN)
- Responsible for conducting security scans, tracking defects, reporting defects, and reproducing defects using SonarQube, Bugzilla, and JMeter
- Environment: SRE, GitLab CI/CD, Jenkins, Dynatrace, CloudWatch, Splunk, Cribl, Ansible, Python, Bash, Perl, Shell Scripting, Terraform, CloudFormation Templates (CFT), Docker, Docker Hub, Git, Puppet, AWS Backup, AWS Disaster Recovery services, SonarQube, Bugzilla, JMeter.
DevOps Engineer
Robert Bosch
India
06.2016 - 01.2020
- Builds new environments in AWS, including setup of VPC, subnets, security-groups, etc., including use of CloudFormation templates, Python/BOTO3 scripts, and Salt Stack states
- Created S3 buckets and managing policies for S3 buckets and using them for storage, backup and archived in AWS and worked on AWS LAMBDA which runs the code with a response of events and Implemented API Gateways, Authentication
- Developed comprehensive architecture strategies for environment mapping in AWS that involved Active Directory, LDAP, AWS Identity and Access Management (IAM) Role for AWSAPI Gateway platform
- Collaborated with cross-functional teams to define infrastructure requirements and create reusable Puppet code
- Installed, configured, and administered the Jenkins tool on Linux machines and set up a Master-slave architecture to improve performance
- Used Jenkins for continuous integration and continuous deployment into the Tomcat Application Server
- Created branching & tagging strategy to maintain the source code in the GIT repository and coordinated with developers with establishing and applying appropriate branching, labeling/naming conventions using GIT source control
- Integrated Jenkins with version control systems like Git for automatic builds and testing on code commits
- Utilized Jenkins plugins to automate various stages of the software development lifecycle
- Utilized Ant for build automation and dependency management, streamlining the build process for Java projects
- Implemented Nagios for infrastructure and application monitoring, ensuring real-time alerts for performance issues
- Implemented the Chef software setup and configuration on VMs, deployed run-lists into the Chef-server, and bootstrapped Chef clients remotely
- Tested Chef cookbook modifications on cloud instances in AWS using Test Kitchen and Chef Spec
- Managed multiple cookbooks in Chef and used environments, roles, and templates for better environment management
- Collaborated with operations teams to proactively identify and resolve incidents
- Developed Python scripts for automation tasks, such as log analysis and data processing
- Created Shell scripts for automation and configuration management tasks in Linux environments
- Developed shell scripts for log rotation, backups, and system monitoring
- Utilized Perl for data processing and automation tasks
- Supported .NET applications in development and production environments.
Linux Administrator
NTT Data
India
09.2013 - 05.2016
- Installed and managed Red Hat Linux, Solaris, and Windows Server systems
- Provided Level 2 support, managing tickets, responding to alerts, and troubleshooting issues
- Monitored system performance metrics like CPU, memory, and disk space
- Configured core services such as DNS, NFS, Samba, LDAP, TCP/IP, FTP, and HTTP
- Utilized LVM for volume management and RAID and implemented system administration scripts
- Managed user accounts, groups, and permissions, and implemented LDAP and Active Directory authentication
- Managed and administered multiple Linux distributions, including Ubuntu, CentOS, and Red Hat Enterprise Linux
- Installed and configured Apache Tomcat and WebSphere application servers, including load-balanced clusters
- Collaborated with DBAs for Oracle database installation, restoration, and log management
- Automated tasks using shell scripts, cron jobs, and system backups with Veritas NetBackup
- Assisted with Solaris Jumpstart and RHEL Kickstart OS deployments
- Troubleshoot backup, restore, and end-user issues on Solaris and Linux servers
- Developed and maintained scripts for various services using UNIX shell and Perl
- Worked with DBAs on Oracle and RDBMS installations, security patching of Linux servers, and Splunk administration.
Education
Master of Science - Data Science
ABC University
CityName, StateName05.2018
Bachelor of Technology - Computer Science
XYZ University
CityName, StateName05.2016
Skills
- Microsoft Azure
- AWS
- GCP
- EC2
- VPC
- IAM
- EBS
- S3
- ELB
- Auto Scaling
- Elastic Cache
- API Gateway
- Route 53
- CloudWatch
- SQS
- SNS
- SWF
- AWS Database Migration Service
- AWS Application Migration Service
- AWS Glue
- App Services
- Key vault
- Function app
- Blob storage
- Azure Active Directory (Azure AD)
- Service Bus
- Azure Container Registry (ACR)
- Azure Kubernetes service (AKS)
- Azure SQL
- Azure Cosmos DB
- Azure RM templates
- Azure Data factory
- Azure Databricks
- Azure Data Lake
- Terraform
- AWS CloudFormation
- Azure Resource Manager (ARM) Templates
- SVN
- Git
- GitHub
- GitLab
- Bitbucket
- Azure Repos
- AWS CodeCommit
- Maven
- Ant
- Gradle
- MS Build
- Jenkins
- Azure DevOps Pipelines
- GitHub Actions
- GitOps
- Argo CD
- Jfrog
- Nexus
- Docker
- Kubernetes
- Open-Shift
- Helm
- EKS
- AKS
- Ansible
- Chef
- Puppet
- Nginx
- Tomcat
- Microsoft Internet Information Service (IIS)
- JBoss
- Oracle WebLogic Server
- IBM WebSphere Application Server
- Cloud Watch
- Cloud Trail
- Azure App Insights
- Azure Monitor
- Nagios
- Splunk
- Grafana
- Prometheus
- ELK
- New Relic
- Datadog
- Dynatrace
- Amazon RDS
- Amazon DynamoDB
- Amazon Aurora
- Amazon Redshift
- Azure MySQL DB
- Azure PostgreSQL
- Cassandra
- Python
- Shell scripting
- Groovy
- Bash
- YAML
- Confluence
- Microsoft Windows
- Linux
- UNIX
- Jira
- ServiceNow
- Remedy
- C
- C
- Java
- Golang
- Ruby
Timeline
Sr Cloud Engineer
Penske Truck Leasing
07.2023 - Current
Cloud Engineer
ADP
01.2022 - 06.2023
Azure DevOps Engineer
HD Supply
06.2021 - 12.2022
DevOps/SRE Engineer
Mr.Cooper
02.2020 - 05.2021
DevOps Engineer
Robert Bosch
06.2016 - 01.2020
Linux Administrator
NTT Data
09.2013 - 05.2016
Bachelor of Technology - Computer Science
XYZ University
Master of Science - Data Science
ABC University