Kubernetes Engineer, DevOps, Azure Cloud, AWS, GitOps

Vishal S

Phone: 919-***-****

Email: ******************@*****.***

LinkedIn: www.linkedin.com/in/vishal-s-a28230230

Professional Summary

Bound to optimization, experienced Cloud Engineer understands the blend of operations and development to quickly deliver output to customers. Over 8 years of experience with the Cloud and monitoring tasks as well as DevOps development in Windows and Linux systems.

Proficient with AWS resources like EC2, S3, SNS, RDS, VPC’s, EBS, Lambda, Elastic Load Balancer, Glacier and Autoscaling groups, Optimized volumes and EC2 instances; leveraged, highly scalable and flexible systems that handled expected and unexpected load bursts.

Expertise in Azure App & Cloud Services, Azure Data Factory, Azure SQL Data Warehouse, Power BI,

Azure Blob Storage, Web API, VM creation, PowerShell scripts, ARM Templates, IaaS, Lift & Shift, storage,

database and network.

Experience on maintaining and building systems in Windows Azure for production and development systems.

This applies to standard VMs and to other Azure services as well.

Hands on experience in Terraform for changing, building and versioning of Infrastructure and wrote Templates for AWS infrastructure as a code using Terraform to build production and staging environments.

Expertise in the building of staging and production environments using Terraform and writing templates for

Azure IaaS (infrastructure as a service).

Hands on expertise with tools such as Kubernetes in combination with Docker to assist with auto-scaling, continuous integration, rolling updates with no downtime.

Expertise with OpenShift platform in configuring Kubernetes Clusters, Docker Containers and Mesos and implemented a production ready, highly available, load balanced, fault tolerant Kubernetes infrastructure and created Jenkins jobs to deploy applications to K8s Cluster.

Hands on experience in configuring Docker daemon, Docker client, Docker hub, Docker Console, Docker swarm, Docker registries, Docker images from Docker file and handling multiple images by storing them in containers to produce.

Worked with Ansible as Configuration management tool to automate repetitive processes, quickly deployed

critical applications and configured Ansible Tower dashboard and role-based access control that is easier

to allow specific teams to access and use Ansible for their deployments.

Configured and managed Continuous Integration CI Server while Implementing Build/Deploy automation Server

Utilized by CI Technologies like Jenkins/Maven, MS Build, JIRA, Sonar, ANT for both J2EE and .NET Applications

on mixed OS (Windows/Linux/Unix).

Involved in a team for automation of End-to-End Continuous Integration/Delivery Pipeline/Deployment which

had built a Continuous Integration server utilizing tools like Jenkins, ANT, Git, Maven, JIRA and Sonar.

Configured and written pom.xml files, performing releases with the management of Artifacts and Maven release

plugin in Sonar-Type Nexus repository.

Experienced in the management of ELK (Elastic Search, Log Stash & Kibana) Stacks to collect, find and analyze logfiles across multiple servers, log monitoring and created geo-mapping visualizations using Kibana in combination with AWS CloudWatch and Lambda.

Performed AWS Database Administrative tasks on Amazon RDS for PostgreSQL databases such as configuring the parameter group, managing IP traffic using security groups, auditing the database log files, planning backup and recovery strategies, and monitoring certain activities on the database.

Expertise in maintaining track record of successfully implementing software configurations, web development, or systems infrastructure projects using Agile methodologies; project management principles and practices, and the ability to blend them together.

Technical Skills

Cloud Services

Microsoft Azure, AWS

Cloud-Infrastructure Automation

Terraform, Cloud formation templates, and ARM templates

Build Tools

Gitlab, Maven, Garden, Azure Build Pipelines

Scripting Languages

Shell/Bash, PowerShell, JavaScript, Python

Configuration Tools

GIT, Subversion, Bitbucket

CI/CD Tools

Github-Actions, Flux, Rafay, ArgoCD, Appranix, Jenkins

Operating Systems

Windows, Unix, Ubuntu

Databases

Oracle, MySQL, DynamoDB

Web/Application Servers

Nginx, Websphere, Tomcat, HTTP Server, Weblogic

Monitoring Tools

Datadog, Prometheus, Grafana, ElasticSearch, LogStash and Kibana (ELK), CloudWatch, Splunk

CM Tools

Ansible, Chef, Puppet

Orchestration Tools

Kubernetes, Kasten, Google Container Engine (GKE), Docker, Docker Swarm

Bug Reporting Tools

JIRA, Wiz – Vulnerability Scanner

Virtualization Technologies

VMWare ESX/ESXi, Windows Hyper-V, Power VM, Virtual box

Certifications: AWS Certified Developer – Associate Validation number: NLVCQJ1BCEEE19WT

Work Experience

Senior Application Developer February 2024 – May 2025

Starbucks

Responsibilities:

oCost Forecasting & Optimization: Conducted financial analysis for S4 clusters, projecting current and estimated cost trends to optimize infrastructure spending.

oDynamic Storage Provisioning: Implemented Dynamic PV, PVC & Storage Classes across all S4 clusters, enabling the DST team to create structured storage patterns for PDF files and streamline resource utilization.

oAKV-AKS Secret Management Integration: Designed an automation mechanism allowing application developers to access secrets through pod volume mounts—eliminating manual retrieval & coordination with the Platform team.

oGitOps & Kubernetes Configuration Management: Spearheaded the Proof-of-Concept (PoC) for Flux v2 (Microsoft.Flux) to evaluate GitOps-based Kubernetes management in Azure Kubernetes Service (AKS).

oRBAC Policy Optimization: Established Kubernetes RBAC policies at cluster & namespace levels, ensuring appropriate read/write access for teams via kube-config files.

o DNS & Host Aliases Setup: Developed custom host DNS solutions for S4 application developers using Swagger UI & shell scripts, collaborating closely with team leadership.

oKubernetes Certificate Automation: Automated Venafi & Cert-Manager integration for certificate renewal using API-Key authentication, reducing developer effort in security compliance.

oProject-Based Kubernetes Environments: Enabled S4 app developers to create independent, project-specific environments using Venafi, facilitating sandboxed testing before merging configurations to production.

oTechnical Documentation & Enablement: Authored step-by-step Confluence guides on Flux v2 integration, covering Kubernetes reconciliation processes, parameterized config files, and scalable deployment patterns.

oGitOps-Based Kubernetes Management: Integrated AKS clusters with Flux, ensuring cluster state is managed & configured via Git SCM—enabling automated sync between the Git repository and cluster environment.

oSkills: Cloud Infrastructure · Cloud Services · Kubernetes · Azure DevOps · Azure Kubernetes Service (AKS) · Flux

Azure DevOps/Kubernetes Engineer February 2022 – November 2023

Norwegian Cruise Lines Holdings Ltd.

Responsibilities:

As a Kubernetes Engineer at NCLH, I had the opportunity to work and develop multiple POC’s for the group. Explored several options including Rafay, ArgoCD, Kasten, and Appranix for Kubernetes Cluster Management:

oSupported POC for Rafay (which is a CD tool) for configuring & management of Kubernetes clusters in all available environments such as Dev, QA, Prod, Sandbox. Rafay provides scope to the users with a web console UI & a terminal, which allows users to configure & manage their clusters. This management level of cluster mimics most of the micro-configurations which could be altered within the metrics of the clusters, like CPU, memory, limits, requests, and many other cluster resources.

oHands on experience in Azure-development process, worked on Azure Web Applications, AppServices, Azure Storage, AzureSQL Database, Virtual machines, Fabric Controller, AzureAD Storage Accounts and ARM templates.

oImplemented SAP HASI compliant strategies within the DevOps environment, enhancing the security posture of SAP infrastructure.

oLeveraged SAP HASI guidelines to automate security protocols in the DevOps pipeline, reducing vulnerabilities and ensuring compliance.

oImplemented SAP HASI approved processes within the DevOps framework, ensuring the secure deployment of SAP infrastructure.

oCollaborated with cross-functional teams to integrate SAP HASI guidelines into the DevOps lifecycle, resulting in improved security and efficiency.

oLed the adoption of SAP HASI best practices, enhancing the reliability and resilience of the DevOps pipeline.

oExperience in Private Cloud and Hybrid cloud configurations, patterns, and practices in Windows Azure and Azure SQL and in Azure web and database deployments.

oConfigured ArgoCD, this tool was considered or brought in as an option into the team to test out the possibility of setting up a fully managed CI/CD environment, with very few manual configurations needed (mostly automated configurations were estimated). This tool has a UI enabling it to be more user-friendly (other application teams had their applications running on these EKS clusters).

oAlso explored a POC to use Kasten, which was intended to be used as multi-cluster management tool. This tool allowed users to manage cluster backups/restore options (taking snapshots of the application restore points & restoring them). Kasten even provided the option to enable disaster recovery (DR), which in turn establishes the flexibility for the user to run policies in Kasten and recover cluster resources such as namespaced & non-namespaced resources.

oSupported a POC for Appranix, this tool was selected for a POC as it mostly had all the abilities of Kasten, but on a much user-friendly level. Appranix has a UI with very less sophisticated application interface(dashboard) allowing users not to be over-whelmed if they chose to use the application. Appranix tool POC had to be turned down eventually as the application was mostly in a developmental phase, where in the application did not have the configuration possibility to take snapshots of persistent volumes and perform restore based on these snapshots. But the application did have the ability to recover the cluster resources across other regions.

Worked with Datadog, configuring custom-metrics to pull out specifications of certain clusters and create monitors (cluster-specific dashboards), alerts based on the requirements.

Kubernetes Administrator February 2021 – January 2022

T. Rowe Price – Baltimore, Maryland

Responsibilities:

Used Kubernetes to deploy, scale, load balance and manage Docker swarm with multiple namespaces,

versions, onto AWS cloud environment using Kubernetes that supports development, testing and production

environments and was a part of implementing microservices on various Kubernetes Clusters (k8s).

Extensive experience in creating clusters & administrating various clusters which contain 6-8 nodes most of them (max 24 nodes) and 185-230 Pods each for applications and Kubernetes plugins/services, all these were managed with AWS EKS.

Used Terraform and deployed Helm-chart values of an application called Kubecost, which provides wide-range of cost-metrics of available clusters, showing if the cluster could be eligible for scalability of provided resources like CPU memory, Limits, Annotations.

Kubecost allowed the clusters to be viewed and maintained according to many aspects, like their respective namespaces, labels, pods, annotations, which were available in search tabs or drop-down scrolls.

Configured and maintained cluster resources according to the alerts given out by our alert-manager. Alert-manager fired alerts based on cluster resources being allocated to their respective pods and application-sessions like RStudio-connect, RStudio-server, JupyterLab.

Deployed Bloomberg’s third-party application onto our Dev-environment, which had an initiative goal to be able to provide a certain level of information to the employees of our working group.

Upgraded and maintained packages of our dedicated Production-instances, which in turn used to give out non-priority email notifications to our working-group employees.

Experience in using Prometheus, Grafana, Loki for monitoring dedicated clusters of different environments;

(Dev, sit, stage, prod), which were further integrated into our group communications application known as Symphony.

Sr. DevOps/Cloud Engineer January 2019 – January 2021

Accenture – New York City, New York

Responsibilities:

Worked on dynamically adding and removing servers from AWS production environment, automating backups by shell for Linux/Unix to transfer data into AWS S3 buckets; created Snapshots and Amazon Machine Images (AMI's) of EC2 instance.

Implemented serverless applications on CloudFront, API gateway, AWS Lambda, SNS and created AWS Lambda functions to run scripts in response to events in Amazon DynamoDB table and S3 bucket to HTTP requests using Amazon API gateway.

Administered Amazon Athena to grant access and manage instances via AWS Identity and Access Management (IAM) policies, access control lists and Amazon S3 bucket policies.

Involved in writing Java API for Amazon Lambda to manage some of the AWS services; used AWS Beanstalk for deploying and scaling web applications and services developed with Java.

Automated application deployment in the cloud using Docker technology using AWS Elastic Container

Service (ECS) scheduler, created and managed a Docker deployment pipeline for custom application images

in the cloud using Jenkins.

Used PowerShell for DevOps in Windows Based system (configured a script which backup client machine’s images to Microsoft Azure cloud/Local storage/AWS Cloud); configured virtual machines (according to application need such as OS. Database (SQL, MySQL), Framework, Web Server) on Azure and local server.

Provided guidance in the planning, gathering requirements, recommendations, and implementing the data transfer to Office 365, and configuring best practices on implementing and updating the various PowerShell Scripts for AzureAD, Active Directory & windows.

Configured Terraform to resolve complex dependencies and identify network issues, hands on experience with Terraform for building a tool, changing and versioning infrastructure safely and efficiently; worked on key features such as infrastructure as code, execution plans, resource graphs and to modify automation.

Implemented CI/CD system with Jenkins on Kubernetes container region, utilizing Kubernetes and

Docker for the runtime area for the CI/CD system to build, test and deploy.

Leveraged Docker and Ansible playbook design for continuous deployment and continuous delivery and maintain responsibility for configuration management for infrastructure as code. Managed contributions to Cloud services provider (CSP) environments, including Azure and AWS.

Built and deployed Docker containers to break up monolithic app into Micro-services, improving developer workflow and optimizing speed and converted our staging and Production environment from a handful AMI's to a single bare metal host running Docker.

Experienced dealing with Docker Container snapshots, attaching them to a running container, removing

images, managing directory’s patterns and managing containers. Managed the Docker file to build the

Docker image and composed the Build step – Docker Build to deploy in Jenkins and to execute the Docker

Build step.

Worked as part of DevOps (CI/CD) team for different internal automation and build configuration management. Configured the user's accounts for Continuous Integration - Jenkins, Nexus and Sonar.

Authored Ansible playbooks to initially install packages from a repository, to change the

configuration of remotely customized machines and deploying new builds and configure in

combination with Ansible Tower so that other users can run them with ease.

Responsible for management of Jenkins’ jobs and reports, identifying failures and fixing issues

responsible for CI/CD process implementation-using Jenkins concise with Python3.5.1 and Shell

scripts to automate routine tasks.

Worked with Nagios Log Server to search for the log data and set up alerts and sent email notifications

about possible threats, retrieved log data from one location, with high availability and fail-over built right in.

Quickly managed servers to send all log data with easy source and setup.

Analyzed and configured the fidelity of Prometheus metrics using AWS CloudWatch Logs to isolate specific

pods and labels which impact the health and performance of the available containerized environments.

Worked on JIRA agile projects for configuring columns, filters, and reports for sprints. Used JIRA as

change management/ work management/ SCRUM Agile Tool.

Environment & Tools: AWS, Azure, Terraform, Kubernetes, Docker, Ansible, Python 3.5.1, Shell, JIRA, Nagios Log

Server, Prometheus, SCRUM Agile.

Sr. DevOps/Cloud Engineer February 2018 – December 2018

Kroger Technology - Plano, Texas

Responsibilities:

Ensured in 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.

Configured VMs availability sets using Azure portal to provide resiliency for IaaS based solution and scale sets using Azure Resource Manager to manage network traffic.

Implemented the build automation process for all the assigned projects in vertical apps domain monitors the UAT/production environments for any downtime issues by performing regular CRON job updates in servers.

Configured Azure cloud services, Azure storage, Azure active directory, Azure Service Bus, and managed Azure AD tenants and configured application integration with Azure AD.

Configured infrastructural solutions based on Amazon Web Services (AWS) in a challenging, fast-paced innovative project focused on customer service and reliability.

Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation-using Jenkins along with Python and Shell scripts to automate routine jobs.

Configured front end interface using HTML 5, CSS 3, JavaScript, JQuery, JSON and JSTL, strong working experience in distributed object-oriented component analysis and design according to Industry leading J2EE frameworks.

Configured Java API to connect with AWS S3 Services for storing and retrieving data stored in the S3 buckets; authored automation scripting in Python (core) to deploy and manage Java applications across Linux servers.

Configured and managed the Jenkins jobs for Continuous integration process and to execute test cases. Integrated with the development team to produce deployment profiles (jar, war, ear) of Oracle Fusion Middleware applications using Jenkins and ANT Scripts.

Responsible for building/deploying consistently repeatable build/deployments to company production and non-production environments using JENKINS and BUILD Pipelines, ANT, MAVEN. Authored Java/J2EE applications to WebLogic server using Jenkins builds. Automated Deploy Scripts and continuous build for Jenkins Continuous Integration tool.

Configured 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.

Authored Chef Infrastructure for the environment for software configurations management; setup the Chef servers, chef workstations, chef nodes and involved in bootstrapping new infrastructure chef nodes.

Managed and wrote multiple recipes, templates, cookbooks, and attributes on workstations which were to be

deployed to various Chef nodes.

Implemented EAR and WAR files with required configuration settings using Maven Tool Kit and further

configured Ansible playbooks to pull the artifacts stored in Nexus to continuously produce the archives

on to WebSphere Application Servers and Apache Tomcat Web Server.

Maintained and managed Artifacts in binary buckets using JFrog Artifactory and S3 and pushed new artifacts by configuring the Jenkins project which used Jenkins Artifactory Plugin.

Expertise in configuring Log monitoring tools like ELK (Elasticsearch, Logstash & Kibana), Nagios, Splunk, Filebeat and Grafana to monitor logs of applications in prod and non-prod.

Managed and configured Ansible Playbooks with Python SSH as the Wrapper to Manage the setup of Azure Nodes and Test Playbooks present on Azure instances using Python SDK.

Introduced branching strategies for using Version Control Systems like GIT, Stash, GitHub & Subversion.

Automated the installation of ELK agent with Ansible playbook. Developed Chef Cookbooks to automate the entire infrastructure. Configured puppet manifests & modules to automate system tasks.

Managed decisive and quality effective operations and skills leading cross-functional teams to meet customer quality and production demands with deadlines.

Endorsed, researched, and implemented network enhancements improving system performance and reliability.

Environment & Tools: Azure, AWS, Jenkins, ANT, Maven, Chef, GIT, GitHub, Subversion, Ansible, Puppet, Nexus Artifactory, Grafana, Python, Shell.

DevOps/Cloud Engineer

Client: WellCare – Tampa, Florida September 2016 – December 2017

Responsibilities:

•Experience in Linux administration and Executed DevOps strategy in various environments of Linux and Windows servers along with endorsing cloud strategies based on AWS and Azure.

•Configured Networking aspects of Virtual Private Cloud (VPC), written Cloud formation templates and deployed AWS resources using it.

•Automated deployment using configuration Management tool like Chef to provision AWS EC2 Instances to enable continuous Deployments.

•Worked parallelly with a DevOps team for different internal automations and build configuration management, checked and maintained the user's accounts for Continuous Integration - Jenkins, Sonar and Nexus.

•Configured and initiated AWS EC2 cloud instances using Amazon Web Services (RHEL/Ubuntu/Linux) and configured initiated instances with respect to certain applications.

•Configured RDS instances using Cloud formations and Terraform; built Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code.

•Provisioned and configured Kubernetes for creating new Projects, Services for load balancing and migrating

them to routes by accessing from outside, created Pods through new application and controlling, scaling, and

troubleshooting pods through SSH.

•Customized Docker container images, tagging, and pushing the images and Docker consoles for managing the

application of life cycle. Performed auto deployment of software applications in a protected and managed

environment using Docker Container technology.

•Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly

deploys critical applications, and proactively manages change.

•Developed Ansible Playbooks to setup a Continuous Delivery pipeline. Deployed microservices, including

provisioning Azure environments using Ansible Playbooks.

•Provided a test-driven development for Ansible by using Server spec. Configured spec tests for checking if servers are prepared correctly.

•Implemented build and deployment scripts using MAVEN as build tools in Jenkins to migrate between multiple environments.

•Used Nagios as IT infrastructure monitoring tool: monitoring host resources such as processor load, disk usage, system logs, monitoring applications, services, and network protocols.

•Configured and Installed Apache Webservers, WebLogic Application servers and Oracle databases. Worked on Firewalls and Apache in both production and development environments.

•Automated various activities using scripting languages like Perl, Python, Ruby, PowerShell based on the requirements.

•Built and configured servers on Ubuntu and RHEL Linux. Initiated virtual servers on VMware and ESX servers using Cloud.

Environment & Tools: AWS, Chef, Terraform, Kubernetes, Docker, Ansible, Maven, Nagios, Apache Webserver, Python, PowerShell, Ubuntu, VMware, ESX server, JIRA.

DevOps/Cloud Engineer March 2015 – August 2016

Client: FIS - Milwaukee, Wisconsin

Responsibilities:

Configured AWS Cloud Formation templates to deploy complete stack in multiple accounts. Implemented

and configured Cloud-Init scripts to bootstrap newly launched instances on to the Chef Server. Copying on

data from MySQL to MongoDB for the RBAC design and writing the server properties to Chef Server as

attributes for nodes.

Responsible for configuring Ubuntu, Linux, and Windows virtual servers on AWS EC2 instances by creating

Chef Nodes through freely available Chef Server. Experience in configuring AWS cloud infrastructure and

initiate continuous deployment through Jenkins.

Achieved Continuous Delivery goal on high scalable environment, using Docker coupled with load-

balancing tool Nginx.

Scripted and customized Chef Cookbooks as the Wrapper cookbook to provision and manage a dependency

cookbook from Chef Supermarket to automate the bootstrapped node to get the updates from Chef Server

on a specific time interval.

Configured Chef Server and workstation to manage and define nodes. Developed Chef Cookbooks to

manage system configuration, Documented kitchen patterns, Berkshelf patterns and writing Ruby code.

Automated release processes by defining release process and automating most of the release activities

using Jenkins, Maven, and bash which enable multiple simultaneous and seamless releases.

Managed version control tools like Subversion (SVN) and GIT enterprise; and automated current build

process with Jenkins with proposed branching strategies to accommodate code in various testing cycles.

Integrated GIT into Jenkins to automate the code check-out process and configured the components from

GitHub into Jenkins server. Responsible for automated scheduled build/emergency build and release using

ANT and Maven scripts for enterprise application (J2EE).

Integrated GIT, Jenkins, and maven in accomplishing continuous integration and configured Jenkins with

Poll SCM build trigger. Integrated code quality and code management tools such as Sonar along cucumber

test scripts through Jenkins to check the performance of the applications.

Created JIRA issues to prioritize and act on important events and stayed up to date with the updates of the

project. Involved in setting up JIRA as defect tracking system and configured various workflows,

customizations, and plugins for the JIRA bug/issue tracker.

Expertise in package management using Red Hat RPM, YUM used in several Linux distributions such as

Red Hat Enterprise Linux, SUSE Linux Enterprises and Fedora. Extensive experience in building servers

using Jumpstart and Kick-start process.

Environment & Tools: AWS, Chef, Docker, Jenkins, Maven, GIT, MySQL, Cloud Formation Templates, MongoDB,

Ubuntu, Linux, Windows Virtual Server, Subversion, Sonar, JIRA, Red Hat RPM, YUM.

Build & Release Engineer

Knowx Innovations – Hyderabad, India January 2013 – February 2014

Responsibilities:

Installed Red hat Linux Enterprise Server 5/6, installation of WebLogic, upgraded to service pack updates, installed BEA patches, configuring and creation of new domain & services starting & stopping.

Installed Configured and Managed NIS, NFS, DNS and Send Mail. Configured DHCP Red Hat Linux server.

Disk mirroring and RAID implementation using VERITAS Volume Manager and Linux Volume Manager.

Involved in application support for network provisioning Java software, Code Release Management, software installation, patch installation, build and deployment. Shell scripting, SQL, SQL Plus, SQL Loader, Oracle, MQ Series, Veritas Cluster Server, Apache, Tomcat, system performance.

Designed and automated disaster recovery procedure using Data Domain, Cron jobs and Shell scripting.

Managed and configured tools using Python, Shell scripting, XML to automate tasks, interfacing with supervisors, artists, systems administrators and production to ensure production deadlines are met.

Authored and executed various MYSQL database queries from Python using Python-MySQL connector and MySQL DB package.

Implemented log file aggregation using in-house ELK stack (Elasticsearch, Logstash, Kibana), Maintained ELK develop dashboards, online and offline reports.

Developed automated processes that run daily to check disk usage and perform cleanup of file systems on Unix/Linux environments using shell scripting and Cron. Developed unit and functional tests in Python and Ruby and developed and maintained Shell scripts for build and release tasks.

Management of RedHat Linux user accounts, groups, directories, file permissions & Sudo-rules. Packaged software & maintained repositories using Yum or RPM & Apt or DEB distribution systems.

User administration; startup and shutdown scripts; Cron tab, file system administration (LVM, Veritas, ZFS, SVM), backup scripting and automation using Perl scripting and Shell scripting for CentOS Linux systems.

Administration for various environments in software development life cycle (SDLC) Windows, Linux, Solaris, Ubuntu, and involved in developing manifests. Used Logical Volume Manager for the management of Volumes including creation of physical and logical volumes on Linux.

Performed a health check of servers after patching / rebooting and checked all the services of Linux and Windows server's whenever we had reboots and code drops.

Environment & Tools: Red Hat Linux, VERITAS and Linux Volume Manager, Java, SQL, Shell scripting, Python, XML,

ELK, Unix/Linux, SDLC, Perl, CentOS, Windows, Solaris.

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