SUMMARY

• Proficient in implementing Cloud Solutions on multiple cloud platforms such as AWS/AWS/OpenStack and in DevOps life cycle using various tools like GitHub, Bitbucket, Jenkins, GitLab, AWS Devops for continuous integration & Continuous Delivery and have good working Experience on Configuration management tools, Containerization tools, Scripting Languages, and Server Administration.
• Expertise in implementing Microsoft AWS Service Offering, such as AWS cloud services which includes AWS Active Directory (AD), AWS Resource Manager (ARM), AWS Storage, Key Vault, and AWS Monitoring, Log Analytics Workspace and Application Insights.
• Experience in working with AWS services including Virtual Networks, Virtual Machines, Resource Groups, VPN, AWS DNS, Network Peering, Load Balancing, Application Gateways, AWS web application, App services, Auto - Scaling and Traffic Manager.
• Working experience in migrating infrastructure and application from on premise to AWS and from Cloud to Cloud such as AWS to Microsoft AWS and GCP.
• Expertise in AWS Scalability and AWS Availability - Build VMs availability sets using the AWS portal to provide resiliency for IaaS based solution and Virtual Machine Scale Sets (VMSS) using AWS Resource Manager (ARM) to manage network traffic.
• Strong Experience in Infrastructure Development and Operations involving AWS Cloud platforms, EC2, IAM, EBS, ECS, S3, Glacier, VPC, Red Shift, RDS, SES, ELB, Auto scaling, CloudWatch, Cloud Front, Cloud Formation, Elastic Cache, SNS, SQS, Lambda, ROUTE 53, Immutable Deployments and AWS relational databases like Aurora, MYSQL, MSSQL and NoSQL database DynamoDB
• Expertise in building CI/CD on AWS environment using AWS Code Commit, Code Build, Code Deploy and Code Pipeline and experience in using AWS CloudFormation, API Gateway, and AWS Lambda in automation and securing the infrastructure on AWS.
• Experience in managing and maintaining IAM policies for organizations in AWS to define groups, create users, assign roles, and define rules for role-based access to AWS resources.
• Experience on AWS, focusing on high-availability, fault tolerance, and auto-scaling using Terraform templates. Along with (CI/CD) with AWS Lambda and AWS Code Pipeline and Using Python with Boto3 SDK to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks.
• Expertise in Implementing Application Infrastructure using AWS Devops including designing of infrastructure and configuration management and Implementation of Infrastructure as Code on AWS Cloud.
• Have good knowledge on creation and usage of Custom Agent Pools and troubleshooting the issues during the CICD processes in AWS Devops.
• Built CI/CD pipeline with AWS DevOps for Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build test and deploy on dev and prod environments
• Experience in writing Infrastructure as a code (IaC) in Terraform, AWS resource management, AWS Cloud formation. Created reusable Terraform modules in both AWS and AWS cloud environments.
• Expertise in Terraform to reliably version and create infrastructure on AWS/AWS. Created resources, using AWS/AWS Terraform modules, and automated infrastructure management and experienced with Terraform key features such as Infrastructure as Code, Execution Plans, Resource Graphs, Change Automation and extensively used Auto Scaling for launching cloud instances while deploying Microservices and used Terraform to map more complex dependencies and identify network issue.
• Experience with container-based deployments using Docker, worked on Docker files, Docker images, Docker Hub, Docker registries and Kubernetes.
• Hands on Experience with AWS Kubernetes Service (AKS) to deploy and manage Kubernetes cluster in AWS and created an AKS cluster in the AWS portal, with AWS CLI, also used template driven deployment options.
• Working Knowledge inKubernetesto deploy,scale, load balance,andmanage Docker containerswith multiple names spaced versions usingHelm charts. Well-versed in writing the YAML files for application deployments, Scaling, config Maps, Load Balancers, Persistent Volume, and creation of Namespaces within the cluster.
• Experienced in Monitoring the Kubernetes operations with Prometheus and Grafana Dashboards.
• Extensively worked on Jenkins, Hudson, Bamboo and TeamCity for continuous integration and for end-to-end automation for all builds and deployments.
• Extensive experience in designing and implementation of continuous integration, continuous delivery, continuous deployment through Jenkins.
• Experienced in branching, tagging, and maintaining the version across the Environments using SCM tools likeGit, GitLab, GitHub and Subversion(SVN) on Linux and windows platforms.
• Expertized in usingJIRAsoftware withJenkinsandGitHubfor real time bug tracking and issue management.
• Expertise in using build tools like MAVEN and ANT for the building of deployable artifacts such as war & ear from source code.
• Expertise inAnsiblesetup, managing hosts file, UsingYAMLlinter, creation of various playbooks and custom modules with Ansible and Ansible Playbooks to automate in cloud servers (AWS/AWS) and worked on Ansible Tower to manage multiple nodes and manage inventory for different environment.
• Experience in Configuration management tools such as Chef, Ansible, and Puppet. Wrote Chef recipes and cookbooks in Ruby scripting.
• Hands on experience with monitoring tools like Nagios, Sumo logic, Splunk, ELK (Elastic Search, Log Stash, Kibana), AWSKinesis and issue tracking like Jira, Bugzilla, Quix, Remedy, Clear Quest, Clear Case and Service Now.
• Having strong and progressive experience in the server installation and administration of Red Hat Linux, Kali Linux, Debian, Centos, OEL (Oracle Enterprise Linux), SUSE and VMware vSphere ESX & ESXI, Microsoft Hyper-V, Windows Server on various Hardware Platforms.
• Experience in database environments like MySQL, Oracle, NoSQL databases like DynamoDB and Cassandra and serverless engine like Lambda.
• Proficient with Shell, Python, Ruby, Perl, Power Shell, Node.js, JSON, YAML, Groovy scripting languages.
• Expert in deploying the code through web application servers like Web Sphere/Web Logic/Apache Tomcat/JBoss, Nginx and their installation, configuration, management and troubleshooting.

TECHNICAL SKILLS

Cloud Technologies: AWS, AWS, Google Cloud, OpenStack

Containerization: Docker, Docker Swarm, Kubernetes

CI/CD Tools: Jenkins/Hudson, GitLab, AWS DevOps

Infrastructure&Configuration Management Tools: Terraform, Ansible, Chef, Puppet, Vagrant

Version Control Tools: GIT, Bit Bucket, SVN, TFS

Scripting Languages: Perl, Python, Ruby, JSON, YAML, Shell scripting, Power shell, Groovy, Node.js

Monitoring Tools: Splunk, Nagios, ELK, App Dynamics, Cloud Watch, Prometheus and Grafana.

Virtualization Technologies: VMware, Microsoft Hyper-V, Virtual box, Libvirt, KVM

Operating Systems: Networking

Reporting Tools: Ubuntu, CentOS, RedHat Linux, Windows, MAC, Solaris.

Wireshark, tcpdump, iptables, Calico, OpenWRT: SonarQube

Databases: MySQL, PostgreSQL, NoSQL (MongoDB, DynamoDB, Cassandra), Oracle

Web Servers: Apache HTTP 3.x, Apache Tomcat, JBOSS, Nginx

Build Tools: Maven, Ant

Bug Tracking Tools: JIRA, Service Now, Bugzilla, Quix, Clear Case

Repository Management: Nexus, JFrog, Artifactory

PROFESSIONAL EXPERIENCE

Sr AWS Devops Engineer

Confidential, Delaware

Responsibilities:

• Hands-on experience in AWS cloud services (PaaS & IaaS), Storage, Web Apps, Active Directory, Application Insights, Logic Apps, Data Factory, Service Bus, Traffic Manager, AWS Monitoring, OMS, Key Vault, Visual Studio Online (VSO), Cognitive Services (LUIS), Data Bricks, Data Lakes, Event hubs and SQL AWS.
• Designed, configured, and deployed MicrosoftAWSfor a multitude of applications utilizing theAWSstack (including compute, Web & Mobile, Blobs, Resource Groups, AWS SQL, Cloud Services, and ARM), focusing on high - availability, fault tolerance, auto-scaling, Recovery Service Vault and Snapshot.
• Implemented a CI/CD pipeline and creation of release pipelines using AWS DevOps (VSTS, TFS) in both cloud and on-premises with GIT, MS Build, Docker, Maven and SonarQube for code analysis.
• Created cloud modules for interacting with AWS services which provides the tools to easily create and orchestrate infrastructure on AWS and automated cloud-native applications in AWS using AWS microservices such as AWS functions and Kubernetes.
• Designed and developed cloud service projects and deployed to Web Apps, PaaS, and IaaS, configured SQL Server Master Data Services (MDS) in windows AWS infrastructure. Implemented AWS Active Directory for single sign on, authentication, authorization, and AWS Role-based Access Control (RBAC) and AWS AD Licenses.
• Extensive involvement in developing AWS Resource Manager Templates (JSON) and in designing custom build steps using PowerShell and ensured no changes in the present infrastructure while doing incremental deployment.
• Manage different AWS environment for provisioning of Linux servers and services executed by the providers. Used Windows AWS to deploy the application on the cloud and managed the session.
• Create automated tasks, processes, and workflows with AWS Logic Apps and created workflows using AWS Logic Apps.
• Major focus on configuration, SCM, Build/Release Management, Infrastructure as a code (IAC) using AWS DevOps, and operations in production and cross platform environments.
• Extensively worked on AWS DevOps, creation of pipeline for various ARM template deployments by passing variables through pipeline variables and variable groups.
• Also worked extensively on publish pipeline artifacts creations and Release Pipeline creations for variables stages like Dev, Test and Prod which kicks-in when the build is created.
• Working experience on various aspects of AWS DevOps like Boards, Repos, Pipelines, Releases and Deployment groups and other organization level operations. Performed infrastructure deployment and configurations using the already existing Ansible and Terraform code through AWS Devops.
• Implemented CI/CD pipelines on AWS including logging & monitoring of the systems using required DevOps tool chain such as AWS DevOps, Nexus OSS, SonarQube, Ansible, containerized open-source ELK stack for digital applications.
• Developed and Designed AWS Devops pipelines to manage the resources across multiple subscriptions in AWS.
• Deployed and optimized two tier .NET web application to AWS DevOps to focus on development by using services such as Repos to commit codes, Test Plans to trigger application and unit test, deployed artifacts to App Service.
• Created Terraform templates for provisioning virtual networks, VM Scale sets, Load balancers and NAT rules and used Terraform graph to visualize execution plan using the graph command.
• Evaluated Kubernetes for docker container orchestration. Managed Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, templatize Kubernetes manifests, provide a set of configuration parameters to customize the deployment and managed releases of Helm packages.
• Extensively worked with Scheduling, deploying, managing container replicas onto a node using Kubernetes and experienced in creating Kubernetes clusters work with Helm charts running on the same cluster resources.
• Worked on AWS Kubernetes service to produce production-grade Kubernetes that allow enterprises to reliably deploy and run containerized workloads across private and public clouds.
• Managed Docker orchestration and Docker containerization using Kubernetes. Created private cloud using Kubernetes that supports dev, test, and production environments. Actively moving monitoring from Grafana to Kubernetes to make it accessible from any region.
• Created Tekton Pipelines in Kubernetes which was leveraged by developers to create and deploy images, manage version control of infrastructure, and perform easier rollbacks.
• Created Docker images using a Docker file, worked on Docker container snapshots, removing images, and managing Docker volumes. Implemented Docker Swarm to deploy load balance, scale and manage docker containers with multiple namespace versions and integrated cluster management with Docker engine using Docker Swarm.
• Profusely worked on version control tools like GIT, Bit Bucket to track changes made by different people in source code involving concepts like Branching, Merging and Tags.
• Created Ansible Playbooks to automatically install packages, to change the configuration of remotely configured machines and to deploy new builds and configured the Ansible playbooks with Ansible Tower.
• Monitored the servers and applications health status using Splunk, created Splunk Queries and dashboard for understanding the application performance and capacity analysis.
• Used AWS Boards for planning and managing the work in our project. We used Kanban board for managing the flow of our work in our project.
• Coordinate with vendors like Atlassian, JFrog to review system information, troubleshoot level 1 to level 3 issues, reports bugs and submit improvements.

Environment: AWS Cloud, AWS DevOps, Kubernetes, Docker, AKS, Terraform, Ansible, Ansible Tower, Jenkins, Git, YAML, PowerShell, Python, Splunk, SonarQube, Atlassian, JFrog, Nagios, JIRA, ELK Stack, VSTS, TFS, Tomcat, Nginx, Linux, Windows servers 2012/2016

Sr. Cloud Infrastructure Engineer

Confidential, Kansas, KS

Responsibilities:

• Extensively worked on configuring AWS webapps, AWS Appservices, AWS Application insights, AWS Application gateway, AWSDNS, AWSTraffic manager, Appservices, Analyzing AWS Networks.
• Involved in migrating the existing v1 (Classic) AWS infrastructure into v2 (ARM), scripting and templating the whole end to end process as much as possible so that it is customizable for each area being migrated.
• Worked on managing hosting plans for AWS infrastructure, implementing & deploying workloads on AWS virtual machines (VMs), Used windows AWS to deploy the application on the cloud and managed the session. Configured SQL Server Master Data Services (MDS) in windows AWS IaaS.
• Assigned RBAC Roles using organization Active Directory confidential the subscription level to grant accesses only to required members based on Least-Access Privileges.
• Knowledge of AWS Site Recovery and AWS Backup installed and configured the AWS Backup agent and virtual machine backup, enabled AWS virtual machine backup from the Vault and configured the AWS Site Recovery (ASR).
• Extensive experience in AWS (IaaS) migrating like creating AWS VMs, storage accounts, VHDs, storage pools, migrating on premise servers to AWS and creating availability sets in AWS.
• Experience in migrating on-premises applications toAWSand configuredVNETsandsubnetsas per the project requirement also performedPowerShell scriptingto doPatching,Imaging, andDeployments inAWS.
• Developed and Designed AWS DevOps pipelines to manage the resources across multiple subscriptions in AWS. Worked on creation of Self hosted Agent Pools in AWS DevOps for working on on-prem servers as well.
• Worked on all the Devops Deployment processes, Continuous Integration and Continuous Delivery through AWS Devops. Designed build and release strategies and worked on implementation of infrastructure as Code. Also managed AWS Kubernetes service infrastructure.
• Created and configured Jenkins server using Terraform and Ansible. Also, managed different infrastructure resources, like physical machines, VMs and even Docker containers using Terraform.
• Worked in all areas of Jenkins setting up CI for new branches, build automation, plugin management and securing Jenkins and setting up master/slave configurations. Developing CI/CD pipelines for build, test and deployment.
• Troubleshoot build issues in Jenkins, performance and generating metrics on master's performance along with jobs usage.
• Created terraform templates for provisioning virtual networks, VM Scale sets, Load balancers and NAT rules and used terraform graph to visualize execution plan using the graph command. Used Terraform to deploy the infrastructure necessary to create development, test, and production environments for software development.
• Implemented Blue/Green Deployments with Zero downtime where the current environment is replicated to latest version with Kubernetes to resolve the bug fixes and redirect the traffic to it once the issues are resolved.
• Built an entire Docker Swarm using a single disk image by deploying both manager and worker nodes during runtime.
• Configured Kubernetes Replication controllers to allow multiple pods such as the Jenkins master server in multiple minions and managed Kubernetes charts using Helm. Established a local dev workflow that centered around Minikube to validate deployments in Kubernetes.
• Involved in writing various custom Ansible Playbooks for deployment orchestration and developed Ansible Playbooks to simplify and automate tasks. Protected encrypted data needed for tasks with Ansible Vault.
• Worked on Ansible to manage Web Applications, Config Files, Data Base, Command, Users Mount Points, and Packages. Ansible to assist in building automation policies.
• Used Chef Bootstrap processes and worked on Chef Server management console with proficient knowledge on all different components like Chef Server, nodes, and workstations
• Configured GIT with Jenkins and schedule jobs using Poll SCM option. Installed, configured, and supported RAID 0, RAID 1, RAID 0 1, and RAID 5 on SAN arrays.
• Designing and implementing CI (Continuous Integration) system: configuring Jenkins servers, Jenkins nodes, TeamCity, creating required scripts (Perl & Python), and creating/configuring VMs (Windows/Linux).
• Working with GITHUB to store the code and integrated it to Ansible Tower to deploy the Playbooks. Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using GIT source control and analyzed and resolved conflicts related to merging of source code for GIT.
• Troubleshooting Linux network, security related issues, capturing packets using tools such as IP tables, firewall, TCP wrappers, NMAP.
• Scheduled Cron jobs, Systems backup, and Linux OS installation by Setting up Kickstart File, installed VM Tools and assigned new virtual network adapter in virtualization environments, VCenter and NUTANIX.

Environment: AWS Cloud, AWS DevOps, Kubernetes, Minikube, Terraform, Ansible, Ansible Tower, Ansible Vault Chef, Blue/Green Deployments, Jenkins, Git, TeamCity, YAML, PowerShell, Perl, Python, Splunk, VM tools, VNIC, Vcenter, Nutanix. september 2016 - TO january 2018

AWS DevOps Engineer

Confidential, Chicago, IL

Responsibilities:

• Worked on core AWS services (S3, EC2, ELB, EBS, Route53, VPC, auto scaling etc.) and deployment services (OpsWorks and Beanstalks, Lambda) and security practices (IAM, KMS, SSM, Cloud watch and Cloud trail) and services Kinesis, SNS, SQS, EMR, RedShift, ECS, Elastic Bean Stalk, X-ray etc.
• Experience in configuring Auto Scaling in customized VPC, based on elastic load balancer (ELB) traffic and using ELB health check to trigger auto scaling actions and deployed Auto Scaling policies to scale up/down EC2 instances based on ELB health checks and created alarms to be used in auto scaling decision making policies.Familiar with AWS ACM and have installed SSL s on various Load Balancers.
• Written Cloud Formation Templates (CFT) in JSON and YAML format to build the AWS services with the paradigm of Infrastructure as a Code (IaaS).
• Implemented AWS Lambda functions to run scripts in response to event in Amazon Dynamo DB table, S3 buckets,and HTTP requests using Amazon API Gateway.
• Implemented Lambda functions to keep a check and auto delete the VMs created on public subnet and configured SNS for notifications to the users.
• Implemented a continuous delivery pipeline with Docker, Jenkins and GitHub and AWS AMI’s, whenever a new GitHub branch gets started, Jenkins automatically attempts to build a new docker container from it, The Docker container leverages Linux containers and has the AMI baked in.
• Using Ansible, deployed and configured Elasticsearch, Log Stash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda & CloudWatch in AWS ECS container.
• Configured Ansible to manage AWS environments and automate the build process for core AMIs used by all application deployments (JFrog) including Auto scaling, and Cloud formation scripts.
• Written templates for AWS infrastructure as a code using Terraform and CloudFormation to build staging and production environments.
• Used Chef Bootstrap processes and worked on chef server management console with proficient knowledge on all different components like chef server, nodes, and workstations. Primarily used Ruby to write GIT applications and chef Recipes.
• Coordinated and assisted developers with establishing and applying appropriate branching, labeling/naming conventions using Bit Bucket source control.
• Containerizing the integration process by GitLab CI within docker. Integrated GitLab into Jenkins to automate the code checkout process.
• Worked on GitLab Admin Area to assign permission for Users and created GitLab System Hooks for changing the existing information in servers.
• Migrated the existing GitLab CI/CD pipelines to newer version of GitLab and ensuring the Database is migrated properly.
• Maintained build related scripts developed in shell for Maven builds. Created and modified build configuration files including POM.
• Troubleshooting Linux network, security related issues, capturing packets using tools such as IP tables, firewall, TCP wrappers, NMAP.
• Manage deployment automation using Puppet, Roles, Profiles, Collective, hiera and Custom Puppet modules. Performed the deployment of release to various QA & UAT in Linux environments.
• Responsible for managing Ubuntu, Linux, and windows virtual servers on AWS EC2 instance by creating Chef Nodes through Open-Source Chef Server.

Environment: AWS Cloud, Cloud Formation Template, Terraform, Lambda, Docker, Terraform, Ansible, Jenkins, Git, SVN, YAML, PowerShell, Python, Knife, Chef, Maven, Puppet, Hiera, Ubuntu, Linux.

Devops Engineer

Confidential, Irving, TX

Responsibilities:

• Managed the user accounts (IAM) for AWS cloud resources and managed ELB, EC2, RDS, ROUTE53, VPC, RDB, Dynamo DB, SES, SQS and SNS services in AWS cloud.
• Used security groups, network ACLs, Internet Gateways, NAT instances and Route tables to ensure and establish a secure zone for the organization in AWS public cloud.
• Worked extensively on Disaster Recovery methodologies including Blue-green deployments and Canary deployments for enterprise applications.
• Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, Node.js, Python and Ruby on familiar servers like Apache, Nginx, Tomcat.
• Performed real time data analysis using AWS Kinesis for data ingesting, and AWS Rekognition, AWS Sagemaker to analyze and process the data.
• Integrating various Version control tools, build tools, Nexus and deployment methodologies (scripting) into Jenkins to create an end-to-end orchestration Build Cycles.
• Expertized in using JIRA software with Jenkins and GitHub for real time bug tracking and issue management.
• Responsible for Administering and maintaining Jenkins and Jenkins slaves on Windows and Linux (Debian/Ubuntu). Created many Jenkins slaves and setup jobs on master to run on slaves.
• Various Git webhooks and SVN commit hooks were configured for continuous integrating process.
• Worked on LTSNext Tools such as SVN, JENKINS, ARTIFACTORY, TRAC and MAVEN. Responsible for user administration in the ClearCase and ClearQuest.
• Responsible for managing releases (Major, Minor, Fix and Enhancement).
• Deploy to system (or other environment as instructed), Restart servers and post notification, managing pom.xml files. Developed Shell and Perl scripts for sending emails notifications of the deployments and build creations.
• Working with LDAP, Active Directory, DNS and VLAN technologies.

Environment: AWS Cloud, Nexus, Jenkins, Git, Git Webhooks, SVN commit hooks, ClearCase, ClearQuest, Jenkins, TRAC, Maven, LTSNext, Apache, Nginx, Tomcat, shell, and Perl scripts. february 2014 - TO april 2015

Build & Release Engineer

Confidential

Responsibilities:

• Worked on Automation of end-to-end configuration of the solution which includes network configuration, SAN and management switches configurations,3PAR configuration and integration.
• Involves working on Switch configurations (Brocade and Cisco), Vcenter, VMware ESXi Hypervisors installations as part of environment Bring Up.
• Implementing NIS and DNS naming services and administering the public DNS servers. Monitoring System Activities like CPU, Memory, Disk and Swap space usage to avoid any performance issues.
• Administered Linux servers for several functions including managing Apache/Tomcat server, mail server, MySQL database, and firewalls in both development and production.
• Integrated GIT into Jenkins to automate the code check-out process. Defining Release Process & Policy for projects early in SDLC.
• Created Pipeline in Jenkins for managing Weekly and Nightly Builds. Defect fixes in the automation and validation tool using PowerShell scripting.
• Used Quix for bug tracking and Service Now for raising Service requests related to the hardware issues.

Environment: Automation, PowerShell Scripting, Git, Jenkins, SDLC, Quix, Service Now, VMware ESXi and Vcenter.

QA Automation Engineer

Confidential

Responsibilities:

• Worked on installations and configurations of CentOS, RHEL, Ubuntu, VMware ESXi/Vcenter on various server hardware which includes HP ProLiant Gen8, Gen9 Servers, Fujitsu, Dell.
• Performed installations and configurations of custom build on both physical and virtual servers by burning ISO file on to CDROM and though the remote server management serial consoles like ILO, IDRAC, iRMC.
• Creation of virtual machines using Custom ISO and VHD files on VMware and Hyper-V.
• Involved in Configuration of LVM (Logical Volume Manager)to manage volume group, logical Volumes and physical Volume creation on the backend block storage. e in Linux machine and Disk Management on Windows Servers (Windows Server 2012 R2, Windows Server 2012, Windows Server 2008) and software RAID solutions.
• Worked Expensively on VMware concepts of configurations HA, DRS, FT, Thin/Thick Provisioning. And performed vMotion to verify the Disaster Recovery and implemented various Disaster Recovery Solutions.
• As Part of automating the tasks and test cases, Used Silk test automation with JSON for configuration files for GUI and Shell Script, Perl & Python Scripts for CLI based operations. Also implemented Scheduling and enabling cron jobs for the nightly builds.
• Used Bugzilla for Bug tracking and Jira for project management.

Environment: Server Administration (HP, DELL, Fujitsu), SAN, Linux, Windows Servers, Virtualization (VMware, Hyper-V), LVM, JSON, Silk Test Automation, Shell Scripting, Perl, Python, Bugzilla, JIRA.