SUMMARY:

• A Performance focused IT professional with 8+ years of experience as a Cloud/DevOps Engineer with result - oriented proven expertise in designing and building highly available, scalable, robust, and cost-effective cloud infrastructures, software life cycle automation with continuous integration and deployment (CI/CD) pipelines, orchestration, containerization, and configuration management as per the infrastructural needs.
• Highly proficient in designing, configuring, and managing cloud infrastructures utilizing AWS Services such as EC2, Elastic Container Service (ECS), S3 buckets, Cloud Front, Route53, Cloud Watch, Cloud Trail, Cloud Formation, and IAM.
• Expertise in configuring the Amazon Web Services (AWS) resources as per organizational compliance which includes configuring Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Auto scaling, Elastic Load Balancer (ELB) for obtaining High availability and Fault tolerance.
• Well-versed with Terraforming and Cloud Formation templates, for building, changing, and versioning infrastructure and managing the existing cloud infrastructure.
• In-depth hands-on experience in building and managing Azure infrastructure, Azure Storage accounts, and deployment of workloads on Azure virtual machines VMs).
• Exemplified efforts in configuring Continuous integration from source control, setting up build definition in (Azure DevOps) and configured Continuous delivery to automate the deployment of applications to Azure Web Apps.
• Extensive experience with software builds tools like MAVEN, Selenium, Gradle, Sonar, Nexus, Jfrog, Ant, etc.
• Extensively worked on Continuous Integration and Continuous Delivery (CI/CD) pipeline jobs for end-to-end automation of build, test, and deliver of artifacts to Nexus or Jfrog Artifactory and troubleshoot the issues during the various stages.
• Profound experience in setting up Docker Environments Docker Daemon, Docker Hub, Docker Registries, Docker compose, and management of multiple docker images.
• Experience with container management toolsDocker,Mesos,Marathon, andKubernetes. Also used to manage clusters of nodes usingdocker swarm,compose,DC/OS, andKubernetesclusters.
• Extensive experience in installing, configuring, and administering the Command Line tools on Linux machines. Used Jenkins Pipeline to drive all micro services builds to the Docker registry and then deployed to Kubernetes.
• Hands-on experience on Ansible and dealt with Je Playbooks, Inventory files, and Vault features to configure and automate repetitive tasks, deploy critical applications/software quickly, and proactively manage changes.
• Experience on AWS Application discovery service to migrate projects from client data centers to AWS cloud.
• Special interest and experience in AWS cloud infrastructure database migrations, Postgresql, and converting existing MS SQL Server databases to PostgreSQL, MySQL, and Aurora.
• Experience in configuring and managing Chef Master Server, uploaded cookbooks through the knife, testing recipes in Kitchen and other chef tools like Supermarket, Food critic and Inspect, and building workflows with Chef Automate.
• Experience with caching solutions and patterns with technologies like Memcached, Hazel cast, or Redis; AWS Elastic Cache with Redis preferred.
• Experience in managing software Artifacts required for development using repository managers like Nexus and JFrog Artifactory and writing Jenkins Pipeline Groovy Scripts for Continuous Integration (CI).
• Experience using discovery tools to define and develop customer requirement and pricing model.
• Worked on variety of Linux platforms (Ubuntu, Red hat, CentOS) which includes installation, configuration, and maintenance of applications on various environments.
• Experienced in branching, tagging, and maintaining the versions across the environments using decentralized SCM tools like GIT and centralized tools like CVS, Subversion (SVN). Used GitHub, Gitlab and Bitbucket as source code repositories.
• Good experience in building pipelines usingAzure Data Factoryand moving the data intoAzure Data Lake Store.
• Converted all manual test cases into Selenium automated scripts using Java.
• Proficient on Shell, Bash, Zsh, PowerShell, Python, Ruby, Perl Scripting languages.
• In depth Knowledge in Utilizing Atlassian tools as a Change Management/ Work Management/ SCRUM Agile Tool.

TECHNICAL SKILLS:

Operating Systems: Red Hat, CentOS, Fedora, SUSE, Ubuntu, Solaris, Debian, MacOS, Windows

CI/CD Tools: Jenkins, Bamboo, GitLab CI, uDeploy, Travis CI, Octopus

Cloud Environment: Amazon Web Services (AWS), Google cloud platform (GCP)

Infrastructure as code: Terraform, CloudFormation, Ansible, Puppet, Chef

AWS Services: VPC, IAM, S3, Elastic Beanstalk, CloudFront, Redshift, Lambda, Kinesis, DynamoDB, Direct Connect, Storage Gateway, EKS, DMS, SMS, SNS, and SWF

Scripting: SHELL Scripting, Groovy, Python, Ruby, Perl, YAML and PowerShell

Version Control Tools: GIT, GITHUB, GitLab, Subversion (SVN), Bitbucket, TFS and Azure DevOps Server

Build Tools: Maven, Selenium, Gradle, SonarQube, Nexus, Ant, JUnit

Containerization Tools: Docker, Kubernetes, AWS ECS/EKS, Apache Mesos, OpenShift, Rancher, Marathon

Application Servers: Apache Tomcat, Nginx, Httpd, WebSphere Application Server, Kafka, JBoss, WebLogic

Networking Protocols: DNS, DHCP, TCP/IP, Cisco Routers/Switches, WAN, LAN, FTP/TFTP, SMTP

Monitoring Tools: Nagios, AWS CloudWatch, Splunk, ELK, Grafana

Bug Tracking Tools: JIRA, Confluence, ServiceNow, Bugzilla, Red Mine

PROFESSIONAL EXPERIENCE:

Confidential, Charlotte, NC

Sr. DevOps Engineer

Responsibilities:

• Worked with Application teams, and product managers to understand the current on-premises architecture and involved in designing the architecture and proposed solutions to implement in AWS Cloud.
• Wrote Terraform scripts using shared modules to provision resources in AWS Cloud such as EC2 instances, Security groups, S3 buckets, ALB’s, IAM roles, Policies, Autoscaling groups, VPC, Subnets, NAT Gateways, Route53, Transit gateways, SNS.
• Worked on Blue/green deployment strategy by creating new applications that are identical to the existing production environment using CloudFormation templates & Route53 weighted routing policy to redirect traffic from the old environment to the pristine environment via DNS.
• Utilized migration services like AWS Cloud Endure and AWS Server Migration Service (SMS) to migrate on-premises workloads to AWS in an easier and faster way using Lift & Shift Methodology.
• Configured AWS Virtual Private Cloud (VPC) with Public and Private Subnets, Routing Tables, Internet Gateway, Network Access Control Lists and Security groups appropriately for internet facing web servers, secure apps, and database servers.
• Implemented AWS Lambda functions to run scripts in response to events in Amazon Dynamo DB table, S3 buckets, HTTP requests using Amazon API Gateway.
• DevelopedAzure Function Appsusing.Net Core 2.2.
• Created test scripts using Java,SeleniumWebDriverand usedJenkinsas a continuous integration server.
• Migration from Oracle platform within AWS to Aurora/MySQL.
• Configured Azure cloud services, Azure storage, Azure active directory, Azure Service Bus. Created and managed Azure AD tenants configured application integration with Azure AD.
• Created Azure services using ARM templates (JSON) and ensured no changes in the present infrastructure while doing the incremental deployment.
• Architect the data lake by cataloging the source data, analyzing entity relationships, and aligning the design as per performance, schedule & reporting requirements.
• Deployed and configured Elastic Search, Log Stash, and Kibana (ELK) for log analytics, full-text search, application monitoring in integration with AWS Lambda, and CloudWatch.
• Implemented Hadoop clusters on processing big data pipelines using Amazon EMR and Cloudera whereas it depended on Apache Spark for fast processing and for the integration of APIs. Confidential the end, we managed the above resources using Apache Mesos.
• Configured Azure DevOps to automatically build and deploy to Azure web apps or cloud services and configured an automated multiple-stage deployment and managed the release process.
• Based on provided OU and Group Policy design strategy, implemented scalable automation using Windows PowerShell for creating the AD structure for new sites and locations, allowing for significantly increased efficiency and accuracy.
• Performed technology analysis, planning, architecture, and managed the implementation of a legacy expense application migration to .NET 4.0
• ConfiguredKinesis AWSfor processing incoming records of streaming data from a .Net Application.
• Implemented CloudWatch and Nagios with SNS notifications to monitor real-time granular metrics of various services and configured individual dashboards for each resource agents.
• Experienced in deploying some critical applications using Docker i.e., Docker images, Docker containers, and used Kubernetes to deploy, scale, and manage Docker containers with multiple name ids.
• Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible for deploying application containers.
• Created automated solution using Windows PowerShell to manage the backup of the primary file server and programmatically notify the administrator via email of the backup’s success or failure.
• Experience with an in-depth level of understanding in the strategy and practical implementation of AWS Cloud-Specific technologies including EC2, EBS, S3, VPC, RDS, SES, ELB, EMR, ECS, Cloud Front, CloudFormation, Elastic Cache, CloudWatch, Red Shift, Lambda, SNS, Dynamo DB, Kinesis.
• Created Kubernetes(k8’s) clusters with objects like Pods, Deployments, Services, and ConfigMaps and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files, and Helm packages.
• Automated repetitive tasks, deployed applications, managed changes, and automated software update and Verified functionality using configuration management tool Ansible. Created active-active disaster recovery model for Ansible Tower.
• Guided and migrated Postgresql and MySQL databases to AWS Aurora.
• Designed and developed Continuous Integration & Continuous Delivery (CI/CD) pipelines by using Jenkins. Worked on Jenkins pipelines to implement the CI process and integrated it with Maven to schedule the builds.
• Developed multiple groovy scripts for building and deploying Jenkins jobs that interrelate with configuration management tools Ansible and IAC Terraform. Configured build jobs to pull code from source code repository and push to Nexus Artifactory while deploying jobs to pick artifacts and deploys to target end-systems.
• Used GitHub as source code management tool and performed Branching, Labelling, merging also responsible for design and maintenance of the GIT Repositories, views, and the access control strategies.
• Working in an Agile environment where JIRA is utilized as a work management tool to track progress, code reviews, and bug reporting.
• Works with Confluence and Mural to maintain the documentation related to application architecture, release process, and its configuration.

Environment: AWS, EC2, RDS, Elastic Load Balancing (ELB), S3, CloudWatch, ElasticSearch, ECS, EKS, Cloud Formation, Route53, Lambda, BigQuery, Ansible, Terraform, Rancher, EMR, Chef, Java/J2EE, Jenkins, Shell, Confluence, JIRA, OpenShift, Kafka, Jfrog, Docker, Kubernetes, Linux, Maven, GIT, GitHub, Python, uDeploy, Ruby, Bash Script, Nexus, SonarQube, Nagios, Nginx

Confidential, Kansas MO

Sr. DevOps Engineer

Responsibilities:

• Designed architectural plan to create the Azure Cloud environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases. Deployed infrastructure as a code (Iac) using ARM Templates (JSON).
• Configured and Managed Site to Site VPN Connectivity. Configured Window Failover Cluster by creating Quorum for File sharing in Azure Cloud. Configured VNet-to-VNet connections between deployment models.
• Deployed s stored in Azure Key Vault to Azure VMs by using Azure Resource Manager and restricting the access by directing appropriate access policies for the key vault.
• Worked with Azure Active Directory for single sign-on, authentication, authorization, and Azure Role-based Access Control (RBAC).
• UsedSeleniumActions class to handle mouse movements and hover-over actions onWeb Elements.
• Built pipelines to move hashed and un-hashed data fromAzure to Data Lake.
• Managed the rate limit by the requests which will quickly cause Azure DevOps Services to enforce rate limits as per needs. To reduce the risk of hitting the rate limits, we followed the best practices while using the REST APIs to integrate with Azure DevOps Services.
• Involved in Backing up and Recovering an Azure Virtual Machine from a Recovery Services Vault and Azure Site Recovery Services. Integrated Azure Log Analytics with Azure VMs for monitoring the log files, storing and tracking of metrics.
• Script, debug and automate PowerShell scripts to reduce manual administration tasks and cloud deployments.
• Created PowerShell scripts to constantly monitor the health of the Exchange messaging infrastructure and notify my teammates or myself in the event of a problem.
• Significantly reduced the number of calls to the help desk by automating password expiration notification for users who did not log in to the network often with Windows PowerShell, making password-reset requests almost non-existent.
• Created pipelines to move data fromon-premises servers to Azure Data Lake.
• Deployed pods using Replication Controllers by interacting with Kubernetes API server defining through declarative YAML files.
• Migrated SQL Server databases to Azure SQL Databases using SQL Azure Migration Wizard and used Python API to upload agent logs into Azure blob storage.
• Configuring and deploying instances on AWS environment and Data centers, also familiar with EC2, Cloud watch, and Elastic Search and managing security groups on AWS.
• Maintaining the Elastic Search cluster and Log Stash nodes to process around 5TB of Data Daily from various sources like Kafka, Kubernetes, etc.
• Created Terraform templates for provisioning and configuring virtual networks, subnets, VM Scale sets, Load balancers, and NAT rules and used Terraform graph to visualize execution plan.
• Played a crucial role in Migrating the legacy applications into Google Cloud Platform (GCP) and Responsible for Deploying Artifacts into the GCP platform. Worked on Stack Driver Monitoring in GCP to check and monitor alerts for applications that run on the Google Cloud Platform.
• Managed Nagios as a monitoring tool to identify and resolve infrastructure problems before they effect critical processes and worked on Nagios Event handlers in case of an automatic restart of failed applications and servers.
• Built/deployed custom Docker images from Artifactory into EKS K8s cluster as part of aGitHubCI pipeline.
• Created, managed, and performed container-based deployments using Docker images containing Middleware and Applications together and Evaluated Kubernetes for Docker container orchestration.
• Involved in setting up Kubernetes (k8s) clusters for running bit. Took several microservices into production with Kubernetes backed Infrastructure. Managed containerized applications using its nodes, namespaces, ConfigMaps, selector services and deployed application containers as Pods.
• Wrote Ansible Playbooks to manage Web applications, environment configuration files, Users, and Packages. Customized Ansible modules for finding facts about Azure Monitor alarms and taking actions to manage those alarms during deployments.
• Used Java as client library forSeleniumWebDriverand developedautomationFramework usingJunit.
• Integrated build tools like MAVEN with JENKINS for Continuous integration/Deployment (CI/CD) and SonarQube for performing continuous inspection of the code quality and detecting the bugs in code.
• Deployed Splunk forwarders, indexers, and search heads to monitor, analyze and visualize the azure VM's on the Splunk dashboard that helps in increasing the cluster performance.
• Administered on version control systems like GIT and used Source code management client tools like GITLAB, GIT Bash, GIT GUI.
• Participated in sprint planning and backlog grooming sessions with the team and used JIRA as a bug tracking and agile project management tool.

Environment: SVN, GIT, Jenkins, Maven, Nexus, AWS (EC2, EBS, S3, VPC, RDS, SES, ELB, EMR, ECS, EKS, Cloud Front, Kubernetes, CloudFormation, Elastic Cache, CloudWatch, BigQuery, Splunk, WebSphere, Bitbucket, Puppet, Java/J2EE, Python Scripts, Jfrog, Docker, XML, Unix (Red Hat Enterprise Linux, CentOS

Confidential, Illinois

DevOps Engineer

Responsibilities:

• Configured an AWS Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources within the Amazon RDS Aurora DB cluster.
• Build scripts using ANT and MAVEN build tools in Jenkins to move from one environment to other environments.
• Supported and created Cloud Architectures for Security, Infrastructure, and Data with delivery teams working primarily within an Agile Scrum methodology.
• Designed AWS CloudFormation templates to create custom sized VPC, subnets, NAT, NACL, Security groups to ensure successful deployment of Web applications and database templates.
• Worked on Google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.
• Setup GCP Firewall rules 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.
• Involved in maintaining the user accounts (IAM), RDS, Route 53, VPC, RDB, DynamoDB, SES, SQS, and SNS services in AWS cloud.
• Experience with caching solutions and patterns with technologies like Memcached, Hazelcast, or Redis; AWS ElasticCache with Redis preferred.
• Built and deployed Jenkins jobs to create AWS infrastructure from GitHub Repos containing Terraform code for various environments.
• Responsible to set up & configure monitoring and metric gathering system aroundPrometheusandGrafana. And worked with different exporters likeNode Exporter,Jmx Exporter.
• Responsible for implementing monitoring solutions in Ansible, Terraform, Docker, OpenShift and Jenkins
• Performed installation and managed Grafana to visualize the metrics collected by Prometheus.
• Implemented microservices, application development, and migration using AWS/Azure services such as Azure DevOps, Kubernetes Service (AKS), Container Registry, Cosmos DB, Kusto DB and Grafana, Azure pipelines, Monitor, RBAC, AWS Kubernetes EKS, and Kubernetes API to run workloads on EKS Clusters. Experience in creating clusters using Kubernetes, creating pods, replication controllers, deployments, labels, health checks, and ingress by writing YAML files and hands-on experience in building and deploying the application code using CLI of Kubernetes.
• Responsible for building scalable distributed data solutions using EMR cluster environment with Amazon EMR.
• MigrateSVNrepositories toGitand administrate GitLab to manageGit repositories.
• Script, debug and automate PowerShell scripts to reduce manual administration tasks and cloud deployments.
• Wrote multiple cookbooks in Chef and implemented environments, roles, and Data Bags in Chef for better environment management.
• Wrote Python modules for Ansible customizations and wrote many Playbooks to manage Web applications, Environment’s configuration Files, Users, Mount Points, and Packages.
• Worked on Ansible to automate repetitive tasks, to deploy critical Applications quickly, and proactively manage the changes.
• Worked on writing Jenkins build a pipeline with Gradle script and Groovy DSL (Domain Specific Language) and integrating ANT/MAVEN build scripts with Gradle for the sole purpose of continuous build.
• Worked on Grafana dashboards for issues finding in production.
• Developed scripts for Build, Deployment, Maintenance, and related tasks using Jenkins, Docker, Maven, Python, and Bash.
• Setting up variousJenkinsjobs for build and test automation and createBranches, Labels and perform Merges inGitLab,deployed micro services inMesoscluster in AWS usingJenkins.
• Involved in setting up JIRA as defect tracking system and configured various workflows, customizations, and plugins for JIRA bug/issue tracker.
• Writing Chef recipes and cookbooks and uploading them to Chef server, managing on-site OS, Applications, Services, Packages using Chef
• Day to day activities like building and deploying code in different environments like DEV, SIT, UTA, Pre-Prod and Prod using Jenkins, Docker, Kubernetes, CHEF, and Ansible.
• Deployed Word Press, RDS Instance, Database, and EC2 Instances via CloudFormation.
• Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process.
• Working with GITHUB to store the code and integrated it to Ansible to deploy the playbooks.
• Implemented Terraform modules for the deployment of various applications across multiple Cloud providers and managing infrastructure.
• Worked on Ansibleplaybooksfor Kafka, Grafana, Prometheus and its exporters.
• Worked with Ansible playbooks for virtual and physical instance provisioning, configuration management, patching, and software deployment on AWS environments through automated tools, Ansible/custom pipeline.

Environment: AWS EC2, S3, RDS, Glacier, Atlassian, ELB, Kubernetes, Windows, Elastic Cache, Redis, Aurora, CloudWatch, SNS, Ansible, Jenkins, Nagios, Jira, GitLab, RHEL 6.X, Shell, EMR, Bash, PowerShell, Python, Grafana, Tomcat, Git.

Confidential

Automation DevOps Engineer

Responsibilities:

• Deployed and monitor scalable infrastructure on Amazon web services (AWS) & configuration management using puppet.
• Involved in maintaining user accounts (IAM), SQS, SNS Services on AWS cloud.
• Create develop and test environments of different applications by provisioning Kubernetes clusters on AWS usingDocker, OpenShift, Ansible, and Terraform.
• Designed puppet modules to manage configurations and automate install process.
• Wrote Puppet manifests for deployment and configurations. Deployed Puppet DB.
• Extensive experience in implementing Continuous integration systems for Java based projects using Ant, Maven, Jenkins, and Hudson.
• Worked with development/testing, deployment, systems/infrastructure, and project teams to ensure continuous operation ofbuildand test systems.
• Builtapplication and database servers using AWS EC2 and used RDS for Oracle DB.
• Experienced with version control tools like GIT and SVN and integratedbuildprocess with Jenkins.
• Hands on experience in automating builds and deployment process using Shell scripting.
• Utilized CloudFormation and Puppet by creatingDevOpsprocesses for consistent and reliable deployment methodology.
• Migrated from SVN to GitLab Server and internal to GitLab servers.
• Setting up schedules for backups and monitoring processes.
• Diagnosed and resolved systems related tasks in accordance with priorities setup in dealing with trouble tickets.
• Responsible for maintaining standard operation procedures for storage environment.
• Updated YUM Repository and RedHat Package Manager (RPM).
• On-call support for 24/7 for troubleshooting production issues.
• Configured Elastic Load Balancers with EC2 Auto scaling groups.
• Configured servers to host Team Foundation Server (TFS) instance, build controllers and build agents.
• Scripting in multiple languages on UNIX, LINUX, and Windows - Batch, Shell script.
• Built CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests and push build artifacts to Nexus.
• Used Nexus Artifactory to manage the repositories in Maven and used the same to share the snapshots and release of internal projects.
• Good exposure on all areas of Jenkins like Plugin Management, LDAP, performance issues, Analytics, Scaling Jenkins. Integrating code Analysis and Test phases to complete the CD pipelines within Jenkins.
• Managed build and deployments using Ant, Bamboo, SCM tools and managed Maven project dependencies by creating parent-child relationships between projects.
• Troubleshooted and resolved Build failures due to infrastructure issues reduced by 95% of issues by stabilizing the Build process. Setup and executed process to code review system effectively.
• Used Jenkins for CI/CD and integrated with GitHub for source code version control, code quality analysis and build tools Maven and Ant.
• Involved in maintaining the user accounts (IAM), RDS, Route 53, VPC, RDB, DynamoDB, SES, SQS, and SNS services in AWS cloud.
• Involved in setting up JIRA as defect tracking system and configured various workflows, customizations, and plugins for JIRA bug/issue tracker.
• Involved in installation and configuration of hardware and software of servers, workstations and I/O devices in Solaris Environment.
• Expert in using build tools like MAVEN, ANT, and Gradle for the building of deployable artifacts such as war and ear from Source Code and automated Web and J2EE applications to the above platforms.
• Deployed J2EE applications to Application servers in an Agile continuous integration environment and automated the whole process and migrated from Maven to Gradle build tools in Jenkins to move from one environment to other environments.
• UtilizedAnsibleandJenkinsto automate the provisioning of our identity management solution which is used to implement Single Sign On for AWS.EKSauthentication integrated with SSO as well.
• Deployed application which is containerized usingDockeronto aKubernetescluster which is managed by Amazon Elastic Container Service for Kubernetes (EKS). Configured ‘Kubectl’ to interact with Kubernetes infrastructure and usedAWS Cloud Formation Templates (CFT)to launch a cluster of worker nodes on Amazon EC2 instances. Built/deployed custom Docker images from Artifactory into EKS K8s cluster as part of aGitlabCI pipeline
• Responsible for Administering Artifactory server which includes installation, upgrade, maintenance of repositories, performance tuning, troubleshooting issues, and maintenance.
• Involved in Research of the project application architecture to support/resolve build, compile, and test issues/problems.
• Created Puppet manifests and modules to automate system operations. Created monitors, alarms, and notifications for EC2 hosts using Cloud Watch.
• Incorporating LINUX/UNIX system builds, administration, installations, and upgrades, troubleshooting on different distributions, and performing User Administration (setting up and maintaining accounts).

Environment: Linux, Nexus, Web Logic, Artifactory, Jenkins, Bamboo, Dynamo DB, Java, PHP, Python, Ruby, JIRA, GIT, Sub Version, Confluence, Puppet, EKS, Visual Studio, Vagrant, SVN, Maven, Ant, UNIX, LINUX, AWS (SQS, SNS, IAM), Linux distribution (Ubuntu, Red Hat Enterprise Linux, RHEL), RPM, Shell scripting, Jenkins, Kubernetes, Maven, Ant, VMware, Puppet, Git, GitLab, SVN and Oracle.