We provide IT Staff Augmentation Services!

Sr. Devops Engineer Resume

3.00/5 (Submit Your Rating)

Saint Petersburg, FL

SUMMARY:

  • Experience in IT industry comprising of Linux Systems Administration and software Configuration Management (SCM). Extensive experience includes AWS, DevOps, Build/Release Management, and Cloud Management.
  • Experienced working in AWS EC2, RDS, security groups, auto - scaling, load balancers (ELBs), Azure, Software Configuration and Build/Release Management, Chef, Puppet, Ansible, Docker, Kubernetes, Terraform, Splunk, OpenStack, Jenkins, Ant, Maven, GIT, CVS, SVN etc.
  • Highly proficient in AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, Cloud Watch, Cloud Trail, Cloud Formation, ECS, AWS Config, Auto Scaling, Load Balancing Cloud Front, IAM, S3 and Route53
  • Experienced in Cloud automation using AWS Cloud Formation, Terraform templates.
  • Experienced in Amazon Cloud (EC2) Hosting and AWS Administration including S3 and IAM Services.
  • Configured RDS instances using Cloud formations and Terraform.
  • Using AWS, Creating, Importing and launching volumes, EC2, RDS, Lambda, security groups, auto-scaling, load balancers (ELBs), NACL in the defined VPC.
  • Experienced in triggering Cloud Watch alarms and specified thresholds with metrics and notified by creating subscribers by using SNS.
  • Experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, VPN, Application Gateways and Windows Azure PaaS storages like Blob (Page and Block), SQL Azure.
  • Involved in migrating SQL Server databases to SQL Azure Database using SQL Azure Migration Wizard and then Deployed application to Azure Cloud.
  • Working on migrating legacy, on premise applications on various cloud platforms like Azure, OpenStack, Open Shift. Experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Auto-Scaling.
  • Strong experience in Automating, Configuring and Deploying Instances on Azure environments and in Data centers.
  • Experienced in OpenStack environments to create and manage users using Keystone and VM management using OpenStack, volume management using Cinder, network and port management using Neutron.
  • Configuring the OpenStack Keystone, glance, cinder, swift and integrated OpenStack (Ice house) with OpenStack to create software-Defined-Networking tenant and service provider network and routers.
  • Pivotal Cloud Foundry (PCF) on EC2 to manage the containers created by Pivotal Cloud Foundry PCF. Used Docker to virtualize deployment containers and push the code to EC2 Cloud using Pivotal Cloud Foundry (PCF).
  • Created and designed the Terraform templates to create custom sized VPC, NAT subnets, for deployment of Web applications and databases.
  • Experienced in Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like GIT and Subversion (SVN) on Linux platforms.
  • Managing Jenkins jobs based on Groovy using Jenkins file and Maven script, also use plugins at some points for test builds, promote the artifacts to S3 and Jfrog, also setting up multi-pipeline jobs to build based on dependencies.
  • Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation using Jenkins along with Shell scripts to automate routine jobs.
  • Expertise in all areas of Jenkins like Plugin Management, Securing and scaling Jenkins, integrating Code Analysis, Performance issues, Analytics and Test Phases to complete the CI/CD pipelines within Jenkins.
  • Worked on integrating GIT hub repository with Jenkins and scheduling jobs by using Poll SCM and also integrated in code checkout processes.
  • Extensive experience using MAVEN, ANT as build tools for the building of deployable artifacts from source code & managing the artifacts generated by MAVEN in the Nexus and Artifactory Repository Managers and used the same to share the snapshots and releases of internal projects.
  • Experienced in installing, configuring and managing Docker Containers, Docker Images for Web Servers and Applications servers such as Apache Tomcat using Docker and integrated with Amazon MySQL RDS database.
  • Created Docker containers and building Docker images and pushed those images to Docker registry.
  • Experience in deploying and maintaining Micro Services using Docker and using Docker containers along with Kubernetes as an orchestration.
  • Developed procedures to unify streamline and automate applications development and deployment procedures with Linux container technology using Docker swarm.
  • Experience working on Docker Container, Docker Hub, Docker Swarm for creating Docker images and handling multiple images primarily for middleware installations and domain configurations.
  • Used Kubernetes to deploy scale, load balance, scale and manage docker containers with multiple name spaced versions.
  • Experience in using Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
  • Experience on Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of OpenStack Nodes and Test Playbooks on AWS instances using Python.
  • Experienced in using Ansible to manage Web Applications, Config Files, Data Base, Commands, Users Mount Points, and Packages. Ansible to assist in building automation policies.
  • Developed Chef Cookbooks and Recipes to manage systems configuration, Pushing the Chef-cookbook, roles, and data bags on Chef-server using knife plugin and executing it on node and bootstrap the node in Cloud using Knife and add them to required Environment.
  • Experience configuring and managing Puppet master server and experience in updating and creating modules and pushing them to Puppet clients.
  • Experienced on creation of Puppet manifest files to install tomcat instances and to manage configuration files for multiple applications.
  • Created infrastructure in a coded manner (infrastructure as code) using Puppet and Chef for configuration management of virtual environments, and Vagrant for virtual machine and resource control.
  • Experience in Cassandra Data modelling - Key space creation, Table creation, Secondary index and Solr core creation, User creation and amp, access administration.
  • Networking communication knowledge and protocols such as TCP/IP, Telnet, FTP, NDM, SSH.
  • Experienced in ELK architecture and its components like Elastic search, Log stash and Kibana.
  • Used Zabbix for instance level monitoring (CPU, Memory, Disk) and Microservice health checks added in the pipeline. Used Grafana for container level Monitoring.
  • Installed, Configured, Managed Monitoring Tools such as Splunk, Nagios for Resource/Network Monitoring and Log Trace Monitoring.
  • Experienced in using bug tracking systems like JIRA, Remedy, HP Quality Centre and IBM Clear Quest.
  • Experienced in Configuring, Managing and Scheduling CRONTABs for App Accounts and Backup management on a regular basis.
  • Installing RedHat Linux using kickstart and applying security polices for hardening the server based on the company policies.
  • Installation and updating the systems with the new package updates using YUM and RPM.
  • Efficient in working closely with core product teams to ensure high quality and timely delivery of builds.
  • Excellent communication, team membership and relationship management skills.

TECHNICAL SKILLS:

Operating Systems: RHEL/CentOS/OEL 5.x/6.x/7, Windows Server 2003/2008/2012 , SUSE LES 10/11, Debian/Ubuntu, Sun Solaris 9/10/11, Windows Server 2003/2008/2008 R2/2012

Languages: Bash, Perl, Python, Ruby, XML, HTML, JavaScript, .Net, Java/J2EE

Databases: SQL Server 2008/2012, MySQL, DB2, Oracle, PostgreSQL, MongoDB and Cassandra.

Web/App Servers: WebSphere Application Server 7.x/8.x, JBOSS 6/7, Apache & Tomcat

Bug Tracking Tools: /Ticketing Tools JIRA, BMC Remedy, Service Now, HP Service Manager.

Version Control Tools: SVN, CVS, IBM Clear Case, BitBucket, GIT

DevOps Tools: Chef, Ansible, Puppet, Jenkins, Docker, Docker Swarm, ELK, Ant, AppDynamics, Akamai CDN, IBM uDeploy, Maven, AntHill Pro, Nexus, Bamboo, Buildforge, Splunk, Kubernetes

Skills: AWS, Devops, Linux, Puppet, Jenkins, microsoft azure.

WORK EXPERIENCE:

Sr. DevOps Engineer

Confidential, Saint Petersburg, FL

Responsibilities:

  • Experience in migrating on premise to Windows Azure using Azure Site Recovery and Azure backups.
  • Experience in Custom Process design of Transformation via Azure Data Factory(ADF).
  • Worked on data pipeline and learned about managing the data pipeline using Azure data factory.
  • Work on data factory for data movement and data transformation and work on HDInsight.
  • Work on how to deploy, monitor and manage complex data pipeline by data factory. We have exposed views of the data factory.
  • Implemented VNet peering between the Virtual Machines within the same Location.
  • Experience on Power Shell scripts to automate the Azure cloud system creation including end - to-end infrastructure, VMs, storage, firewall rules.
  • Designed Terraform templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates and migration from traditional to cloud environment.
  • Implemented Docker with Kubernetes to create pods for applications and implemented Kubernetes to deploy a web application across a Multi-node Kubernetes cluster.
  • Utilized Kubernetes to manage containerized applications using its nodes, Config Maps, selector, Services & deployed application containers as Pods.
  • Implemented Kubernetes to deploy scale, load balance, scale and manage docker containers with multiple name spaced versions.
  • Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.
  • Experience in working with several Docker components like Docker Engine, Machine, creating Docker images, Compose, Docker Registry and handling multiple images primarily for middleware installations and domain configurations.
  • Experience in creating Docker Containers leveraging existing Linux Containers and AMI's in addition to creating Docker Containers from scratch.
  • Implemented Ansible to manage all existing servers and automate the build/configuration of new servers.
  • Involved in writing various custom Ansible Playbooks for deployment orchestration and developed Ansible Playbooks to simplify and automate day-to-day server administration tasks.
  • Automated CI/CD pipeline in private cloud using Jenkins shared libraries and multibranch pipeline.
  • Built and maintained ELK stack to centrally collect logs that are used to monitor applications also Installed, monitored and configured Applications in Nginx and Apache Tomcat Server and establish connectivity to databases and troubleshoot issues on the fly.
  • Worked on Atlassian Tools - Confluence, Jira, and ticketing tool Service-Now.

Sr. AWS/DevOps Engineer

Confidential, Madison, WI

Responsibilities:

  • Involved in the part of an engineering team designated to design a new platform to host applications AWS while set up VPN tunnels from corporate network to VPCs in AWS and designed the Subnets, Routing and IAM policies in AWS.
  • Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, and Auto scaling groups, Optimized volumes, Cloud Formation and Lambda.
  • Used IAM to create new accounts, roles and groups and engaged in enabling lambda functions for dynamic creation of Roles.
  • Automated the cloud deployments using Chef, python and AWS Cloud Formation Templates.
  • Written Templates for AWS infrastructure as a code using Terraform templates to build staging and production environments. Configuring and Networking of Virtual Private Cloud (VPC) Written Cloud Formation templates and deployed AWS resources using it.
  • Solved Gateway time issue on ELB and moved all the logs to S3 Bucket by using Terraform.
  • Deployed applications into the AWS cloud using Amazon EC2, VPC (Virtual Private Cloud), IAM (Identity and Access Management), AWS S3, Glacier, Cloud Watch, Cloud Trail and Route 53.
  • Created AWS RDS and DynamoDB databases, performed monitoring and restoring of AWS RDS and DynamoDB databases. Performed migration of Microsoft SQL server, MariaDB, PostgreSQL to RDS and MongoDB, Cassandra to DynamoDB.
  • Provisioned and managed multi - datacenter Cassandra cluster on public cloud environment Amazon Web Services(AWS) - EC2.
  • Configured, Documented and Demonstrated inter node communication between Cassandra nodes and client using SSL encryption.
  • Experienced in setting up databases in AWS using RDS, storage using S3 buckets and configuring instance backups to S3 buckets.
  • Implementing and setting up AWS security groups for AWS Instances on AWS Environment.
  • Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.
  • Configured and implemented an OpenStack SDN infrastructure to enable massive dynamic scaling of compute and storage resources.
  • Implemented horizontal auto-scaling use cases using OpenStack components - Heat, Ceilometer.
  • Installed Pivotal Cloud Foundry (PCF) on EC2 to manage the containers created by PCF, Used Docker to virtualize deployment containers and push the code to EC2 cloud using PCF.
  • Replaced the use of cloud formation with terraform to not be fully locked into a single cloud provider.
  • Used Terraform Interface between Jenkins and AWS to implement auto scaling, cloud watch in Jenkins.
  • Configured Docker file with different artifacts to make an image and using Chef cookbooks deployed those Docker images to different servers for running the applications on containers.
  • Automation of new job creation by implementing and managing Jenkins DSL. Setup Jenkins master/slave architecture to use Jenkins as pipeline as service.
  • Worked to setup Jenkins as a service inside the Docker Swarm cluster to reduce the fail over downtime to minutes and to automate the Docker containers deployment without using configuration management tool.
  • Written Docker-Compose files for building up the Infrastructure in a single go.
  • Created many Clusters using Kubernetes and worked on creating many pods, replication controllers, services, deployments, labels, health checks and ingress by writing Yaml files.
  • Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages.
  • Scheduled, deployed and managed container replicas onto a node cluster using Kubernetes.
  • Worked on Open Shift for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, Creation of Pods through new application and control the scaling of pods, troubleshooting pods through ssh and logs, writing/modification of Buildconfigs, templates, Imagestreams.
  • Implemented Ansible to manage all existing servers and automate the build/configuration of new servers.
  • Involved in writing various custom Ansible Playbooks for deployment orchestration and developed Ansible Playbooks to simplify and automate day-to-day server administration tasks.
  • Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change.
  • Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python.
  • Used Ansible Control server to deploy plays and playbooks to the machines and systems in the inventory.
  • Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible playbooks and has integrated Ansible with Docker Containers and Jenkins.
  • Administered and Engineered Jenkins for managing weekly Build, Test and Deploy chain, GIT with Dev/Test/Prod Branching Model for weekly releases.
  • Initiated and implemented automated testing solution through CI/CD pipeline using Jenkins, Docker.
  • Worked with Chef-Provisioning to converge AWS infrastructure EC2, VPC, Route53, S3, IAM etc. into desired state.
  • Worked with Knife-EC2 plugin in Chef to automatically create, bootstrap, add run list and converge EC2 resources in AWS.
  • Used machine batch in Chef provisioning to converge large volumes of EC2-servers and run in parallel processing between the machines.
  • Created a provisioned node with elevated privileges in Chef, configured AWS driver options and used this provisioned node to converge AWS infrastructure.
  • Installed, configured and administered and integrated Apache Web Server with the WebLogic Application Server for load balancing.
  • Working with ELK (Elastic Search, Log stash and Kibana) stack to develop an end to end transaction processing system.
  • Have built Elasticsearch, Log stash and Kibana (ELK) for centralized logging and then store logs and metrics into S3 bucket using Lambda function.
  • Worked on Collection of Build metrics and its Test case metrics from Jenkins to show case as visualization in Kibana dashboard using ELK.
  • Developed and scheduled new Splunk capacity dashboards, data models and performance reports to assist senior management in making business critical capacity decisions.
  • Developed and implemented Software Release Management strategies for various applications according to the agile process.

Environment: AWS, OpenStack, Pivotal Cloud Foundry(PCF), Chef, Ansible, Jenkins, Maven, Git, Docker, Kubernetes, Open Shift, Linux, Python, Ruby, ELK, Splunk, Terraform, Apache, Cassandra.

DevOps/Cloud Engineer

Confidential, Costa Mesa, CA

Responsibilities:

  • Involved in designing and deploying multi - tier applications utilizing all the AWS services like (EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS Cloud formation.
  • Designed scalable and highly available Domain Name System(DNS) within AWS Cloud to route traffic to AWS Cloud from users connected using AWS Direct Connect for larger deployments.
  • Created scripts in Python Which Integrated with Amazon API to control instance operations.
  • Build server deployment on Cloud (EC2) servers with help of DevOps tools like Chef.
  • Created monitors, alarms and notifications for EC2 hosts using Cloud Watch.
  • Optimization / cost reduction of Amazon AWS services (EC2, S3, EBS, ROUTE53, VPC).
  • Configured Apache webserver in the Linux AWS Cloud environment using Chef automation.
  • Implemented highly responsive multi-channel enhanced customer experience, with Microservices deployed on Pivotal Cloud Foundry (PCF) for highly scalable and agile backend infrastructure.
  • Created a Jenkins job to deploy Cloud Formation stacks and remove old stacks upon successful completion using Ruby scripts.
  • Created Cloud Formation templates using AWS's Server less Application Model and swagger to create and deploy RESTful API's using API Gateway and Lambda.
  • Deployed MongoDB using Docker image and setting up Mongo DB cluster using MongoDB Atlas.
  • Experience in setting up MongoDB Client and writing queries to validate data against Mongo Collections, MySQL.
  • Installed, configured and managed MongoDB servers and performance tuning of Mongo Databases.
  • Virtualized the servers using the Docker for the test environments and dev-environments needs. And also, configuration automation using Docker containers.
  • Used AWS Beanstalk for deploying and scaling web applications and services developed with java, PHP, Node.js, Python, Ruby and Docker on server such as Apache.
  • Created Docker file for each microservice and also changed some of the Tomcat configuration file which are required to deploy Java based application to the Docker container.
  • Collaborated with development support teams to setup a continuous delivery environment with the use of build platform tool Docker.
  • Involved in development of Test environment on Docker containers and configuring the Docker containers using Kubernetes.
  • Developed Networking policies for Docker containers. Worked on open source development tools like Docker Containers, Mesos and Kubernetes.
  • Maintained and developed docker images for a tech stack including Cassandra, Kafka, Apache, and several in house written java services, running in Google Cloud (GCP) on Kubernetes.
  • Designed, deployed, and maintenance of a full stack Kubernetes environment, running on Google Cloud Platform.
  • Experience in configuring Azure web apps, Azure App services, Azure Application gateway, Azure DNS, Azure Traffic manager, App services, Analyzing Azure Networks with Azure Network Watcher, Implementing Azure Site Recovery, Azure stack, Azure Backup and Azure Automation.
  • Designed the Role Based Access Control(RBAC) to securing Azure subscriptions, to configure Azure active directory roles and assigning RBAC, and Designed custom RBAC roles.
  • Migrated from on premises MSSQL database to Azure SQL including database server builds and SQL Elastic Pools.
  • Capable of deployment of Azure AD, Identity and Access Management, Azure Multi Factor Authentication and Azure trust center.
  • Worked on Azure Fabric, Micro services & Docker Containers in Azure.
  • Hands-on AZURE, Migration of all servers from on-premises to Kubernetes containers & writing the scripts in Perl and Shell Scripts for managing various enterprise applications.
  • Migrated .Net applications to Microsoft Azure Cloud Service Project as part of cloud deployment.
  • Developed web service using Windows Communication Foundation and to receive and process XML files and deploy on Cloud Service on Microsoft Azure.
  • Implemented new projects builds framework using Jenkins & Maven as build framework tools.
  • Implemented a Continuous Delivery framework using Jenkins, Chef and Maven in Linux environment.
  • Developed and maintained the Continuous Integration and Deployment systems using GIT, Jenkins, ANT, Maven, Nexus, Nagios and Chef.
  • Implemented continuous deployment system with Jenkins, AWS Code Deploy plugin to deploy and Ops Works, and Packer for deployment of Java Applications.
  • Developed build and Deployment Scripts using MAVEN as build tool in Jenkins to move from one environment to other environments.
  • Creating a fully Automated Build and Deployment Platform and coordinating code builds promotions and orchestrated deployments using Jenkins/Hudson, and GitHub.
  • Involved in replacing existing manual deployment and management processes with AWS OpsWorks which uses Chef to automate how servers are configured, deployed, and managed across AWS EC2 instances.
  • Written wrapper scripts to automate deployment of Chef cookbooks on nodes and running the Chef client on them in a Chef-Solo environment.
  • Integrated source control and versioning of cookbooks and recipes by using GIT.
  • Evaluated Chef framework and tools to automate the cloud deployment and operations.
  • Automated Nagios alerts and email notifications using python script and executed them through Chef.
  • Used file module in Ansible playbook to copy and remove files on remote systems
  • Implemented and designed AWS virtual servers by Ansible roles to ensure deployment of web applications.
  • Wrote Ansible playbooks to launch AWS instances and used Ansible to manage web applications, configuration files, used mount points and packages and Worked on playbooks for Ansible in YAML scripting.
  • Working with ELK (Elastic Search, Log stash and Kibana) stack to develop an end to end transaction processing system.
  • Monitoring CPU, memory, physical disk, Hardware and Software RAID, multipath, file systems, network using the tools NAGIOS 4.0 monitoring.
  • Created JIRA issues to prioritize and take an action on what's important, and stayed up to date with what's going on around the project.
  • Used Splunk to monitoring/metric collection for applications in a cloud based environment.

Environment: AWS, Azure, Chef, Ansible, Jenkins, Maven, Git, Docker, Nexus, Jira, Linux, python, ruby, WebLogic, Nagios, Splunk, terraform, Apache, MongoDB.

DevOps Engineer

Confidential, Windsor, CT

Responsibilities:

  • Managed AWS cloud resources like IAM, EC2, S3, EBS, VPC, ELB, Cloud Watch, SES, SNS.
  • Build server deployment on Cloud (EC2) servers with help of DevOps tools like Chef.
  • Developed the automated provisioning of AWS cloud environments using Jenkins and Chef.
  • Created monitors, alarms and notifications for EC2 hosts using Cloud Watch.
  • Responsible for distributed applications across hybrid AWS and physical data centers.
  • Created scripts for system administration and AWS using languages such as BASH and Python.
  • Involved in DevOps migration/automation processes for build and deploy systems.
  • Implemented the Build automation process for all the assigned projects in Vertical Apps domain
  • Monitored the UAT/Production Environments for any down time issues by performing regular corn job updates in servers.
  • Set up the rules to each security groups that associated to instances.
  • Involved in configuration and automating the Jenkins Build jobs for Continuous Integration.
  • Involved in configuring Chef server, Chef - solo along with writing Chef Recipes.
  • Rolled out Chef to all servers, and used the Chef node database to drive host configuration, DNS zones, monitoring, backups.
  • Implementing a Continuous Delivery framework using Jenkins, Puppet/Chef, Maven & Nexus in Linux environment.
  • Worked on provisioning different environments using Chef, Ansible and other Configuration management tools.
  • Experience configuring and managing Puppet master server and experience in updating and creating modules and pushing them to Puppet clients.
  • Setup puppet master, client and wrote scripts to deploy applications on Dev, QA, production environment.
  • Configured Nexus to manage the artifacts in different Repositories.
  • Written Maven scripts, Installed Jenkins, written shell script for end to end build and deployment automation.
  • Configured and maintained codebase to support the build and deployment of code on servers.
  • Merging and tagging need to be done after the code went live in environment.
  • Worked on deploying WAR, JAR, and EAR files in Apache Tomcat, WebLogic, WebSphere, JBoss application servers in Linux/Unix/Windows environment.
  • Automating the regular tasks in Subversion and streamlining the process of access to SVN.
  • Install, configure and manage Monitoring Tools such as Splunk, Nagios for Resource Monitoring/ Network Monitoring/Log Trace Monitoring.

Environment: AWS, Chef, Docker, Jenkins, JIRA, Maven, GIT, Nexus, Splunk, Nagios, Python, UNIX Shell Scripting.

Build and Release Engineer

Confidential, Dallas, TX

Responsibilities:

  • Responsible for Development UIT, SYTEM, UAT, STAGING, PRODUCTION Builds and Releases.
  • Assist with maintaining current build systems, developed build scripts, and maintained the source control system.
  • Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments.
  • Performed weekly and on - call deployments of application codes to production environments.
  • Coordinated application release with developer, DBA, QA and project management teams.
  • Worked in cross-platform environments like Linux, UNIX, AIX and Windows.
  • Designed the project workflows/pipelines using Jenkins for Continuous Integration and deployment into different Web/Application Servers.
  • Worked with the development team to generate deployment profiles (jar, war, ear) using Ant Scripts and Jenkins.
  • Documentation of detailed build configuration, Build procedures and change history for releases.
  • Coordinating with development teams to perform builds and resolve build issues.
  • Deployed the applications to Web Sphere Application Server 5.0/Jboss 4.x.
  • Analyze and create daily reports on the status of server backups on intranet and extranet.
  • Provide complete phone support to customers.
  • Troubleshoot tickets on the help desk tracking system.
  • Configured Environment, run unit tests and created reports by using Maven.
  • Used JIRA to track issues and Change Management.

Environment: Java, J2EE, SVN (Subversion), Hudson Ant, JIRA, Shell/Perl Scripting, WebSphere, UNIX, JIRA.

Linux Administrator

Confidential

Responsibilities:

  • Responsible for creating virtual machines and installing Red hat Enterprise Linux, CentOS and Ubuntu on it.
  • Created users, manage user permissions, maintain User & File system quota on Linux servers.
  • Configured volume groups and logical volumes, extended logical volumes for file system growth needs using Logical Volume Manager (LVM) commands.
  • Install and manage Tomcat, Apache Web servers.
  • Monitored system performance parameters using Top, VmStat, Htop, iotop, Linux commands.
  • Diagnose and resolve problems associated with DHCP, DNS, VPN, NFS, Tomcat and Apache.
  • Created BASH shell scripts to automate cron jobs and system maintenance. Scheduled cron jobs for job automation.
  • Managed systems routine backup, scheduling jobs, enabling cron jobs, enabling system logging and network logging of servers for maintenance.
  • Performed RPM and YUM package installations, Change Management requests for software releases, patches.
  • Installation of patches and other software packages using RPM and YUM in Linux, pkgadd, pkginfo, pkgrm, patchadd in Solaris and swinstall, swremove, swlist in HP - UX.
  • Installs Firmware Upgrades, kernel patches, systems configuration, performance tuning on Unix/Linux systems.
  • Utilizing SAR, Net stat, Iostat and Vmstat for performance analysis, tuning and capacity planning, problem prevention, detection, and resolution.
  • Hands on experience in automating builds and deployment process using Shell scripting.
  • Deployment applications (JAR and WAR, RAR and EAR) and related troubleshooting in clustered environment using Admin console and Bash scripts.

Environment: Red Hat Linux 3.x/4.x/5.x, CentOS 4.6/4.7/5, VMware, Apache 2.0, NFS, Software RAID, DNS Servers.

Systems Engineer

Confidential

Responsibilities:

  • Configured and installed Red Hat and CentOS Linux Servers on both virtual machine and bare metal
  • User account management and administration; Troubleshooting User's login and home directory related issues, reset password and unlock user accounts
  • Performed automated installations of Operating System using kick start for Red Hat Enterprise Linux 5
  • Implemented Shell, Perl scripting using ksh /csh /bash/Sed/Awk to ease administration tasks
  • Maintaining inventory of all components including systems and other hardware performed User Account management, data backups, and user's logon support
  • Set up user and group login ID's, network configuration, password, resolving permissions issues, user and group quota
  • Creating and maintaining user accounts, profiles, security, rights, disk space and process monitoring
  • Monitor and analyze servers and resolve any problems, maintain systems reporting, tuning
  • Created users, manage user permissions, maintain User & File system quota on Linux servers
  • Configured volume groups and logical volumes, extended logical volumes for file system growth needs using Logical Volume Manager (LVM) commands
  • Maintaining integrity of security with the use of group policies across domains supporting users through email, on call and troubleshooting
  • Monitored trouble ticket queue to attend user and system calls. Attended team meetings, change control meetings to update installation progress and for upcoming changes in environment

Environment: RHEL, HCMP, LVM, Apache1.3, DNS, NFS, NIS, Oracle 8i TSM, Work Load Manager PAR, VERITAS Netback up, NIM, Samba, Dell Power Vault, Storage TEK, L700.

We'd love your feedback!