Naresh Vusirikayala

E: ad2jar@r.postjobfree.com

P: +1-737-***-****

Around 8 years of IT experience as DevOps / Cloud Engineer in Software Development Life Cycle (SDLC) core area such as Design, and Deployment of Web based Enterprise Applications using enterprise cloud services like Azure, AWS Cloud OPS Resources, which includes Project Setup, Build Automation, and (CI/CD) experienced. Experience as a Linux Admin and Chef, Jenkins, Application Server, Red hat Linux, Apache Tomcat. Excellent communicator, quick learner and adapts to emerging technologies.

Professional Summary:

Involved in Linux administration activities like troubleshooting of regular issues, configuration issues, applying patches, kernel upgrades, package management, diagnosing resource utilization and file system issues.

Exposed to all aspects of the software development lifecycle (SDLC) such as Analysis, Planning, and Developing, Testing, and Implementing Post-production analysis of the projects using methodologies such as Agile, Scrum Models.

Experienced in Installing, Upgrading, Patching, Configuring and Administrating Red Hat Linux.

Experience in the areas of DevOps, CI/CD Pipeline, Build and release management, AWS and Linux/Windows Administration Proficient in prioritizing and completing tasks in a timely manner.

Involved heavily in setting up the CI/CD pipeline using Jenkins, Maven, Nexus, Bitbucket, JFROG Artifactory, Ansible, and OpenShift.

Extensive working experience with broad range of AWS Cloud Services like EC2, Auto Scaling, VPC, Route53, RDS, S3, IAM, Elastic Load Balancer (ELB), Dynamo DB, Elastic search, and Cloud Watch.

Worked on creating the Docker containers and Docker consoles for managing the Micro Service based application life cycle.

Experience in deploying applications on Apache Tomcat, JBoss, WebSphere, NGINX, uWSGI and WebLogic servers.

Involved in configuring and integrating the servers in various environments for automatic provisioning with tools like Ansible and Terraform.

Expertise in deploying web apps and web API’s using Azure app services and worked on implementing CICD of web Apps using Azure Pipelines.

In-depth and solid understanding of IP networking technologies. TCP/IP Networking troubleshooting and Linux Network Administration.

Involved in Kerberos creation on servers and developed automation scripts for renewing Kerberos tickets to authenticate on HDFS nodes.

Developed Terraform templates to create load balancers (ELB), monitoring on the fly for different environments such as QA, SIT stage which will run on different VPCs.

Hands on experience on Azure VPN-Point to Site, Virtual networks, Azure Custom security, end security and firewall. Used Azure Express Route to set up a private connection to Microsoft cloud services such as a Microsoft Azure, Office 365, and Dynamic 365.

Ability in development and execution of Python, Groovy, Power shell, YAML and Shell Scripts and expertise in source controller like Bitbucket, GIT, SVN and Gitlab.

Developed a fully automated continuous integration system using Git, Gerrit, Jenkins, MySQL and custom tools developed in Python and Bash.

Involved in migrating VM shared applications to Openshift container.

Coordinate with VM ware architect in Capacity planning implementation of new server build maintenance to minimize outages during holiday season.

Configure Cisco UCS profiles for migrating and add hosts for load balancing in VM ware environment.

Wrote power shell scripts to create the parameter files automatically for all the services in Azure Resource Manager

Collaborated with cross functional teams (firewall team, data base team, application team) in execution of this project.

Used Service-Now tool for managing incidents and change request tickets.

Perform triage and troubleshooting on alarming and ticketing systems.

One of four members of change management team, reporting on and supporting entire network.

Provided 24/7 major incident management for website and DNS backbone incidents.

Experience in administration of Jira and Confluence which includes permissions, custom fields, custom workflows, and Confluence space.

Utilize Cloud formation and Ansible by creating DevOps processes for consistent and reliable deployment methodology.

Involved in building own PAAS with Docker deployed various applications through Docker containers.

Created efficient, fluid build pipelines and utilized many products such as Jenkins, Maven, Cruise Control, and integration into automated test beds JUnit, JMeter, Selenium, Clover and SonarQube.

Extensive experience in Azure E3 Enterprise Mobility Suite of tools in MFA (Multi-Factor Authentication) and Intune

Developed Python scripts for software build conduct and management support.

Good knowledge and hands-on Experience in some monitoring tools like Splunk, New Relic, Cloud Watch, Nagios and Dynatrace.

Good Knowledge in Administration of Production, Development and Test environments carrying different operating system platforms like windows, Red Hat Linux.

Automated to send alerts for application quota when the app hits threshold point using Dynatrace.

Experience in Implementing Continuous Integration and Continuous Delivery (CI/CD) pipeline with Docker, Maven, Ant, Nexus Artifactory, Jenkins, and AWS. Proficient with cloud services like Amazon Web Services.

Used Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple namespace versions.

Experience with NoSQL databases like Cassandra and MongoDB.

Experience in Data Serialization formats like JSON XML.

Good Experience with virtual machines like VMWare, VirtualBox.

Good interaction with developers, managers, and team members to coordinated jo tasks and strong commitment to work.

Team player with excellent interpersonal skills, self-motivated, dedicated and understanding the demands of 24/7 system maintenance and has good customer.

TECHNICAL SKILLS:

Version Control Tools

Git, SVN, CVS, bit bucket, GitLab

CI/CD Tools

Cloud bees Jenkins, Bamboo, Azure DevOps, Gitlab

Build Tools

Maven, Gradle, Ant

DevOps Tools

Docker, Ansible, OpenShift, RDS, Route53, Nexus, Jfrog Artifactory, Terraform, Cloud Formation, Kubernetes, Ansible tower, XLR, Splunk, Prometheus, Dynatrace

Bug Tracking Tools

Jira, IBM Clear Quest, Selenium, Cucumber, EKS

Languages

Python, Java, HTML, JSON

Networking

TCP/IP, NIS, NIS+NFS, DNS, DHCP, WAN, SMTP, LAN, FTP/TFTP, TELNET, Firewalls

SDLC

Agile, Scrum

Scripting

Shell/Bash, Power shell, Python, Groovy, YML.

Monitoring Tools

New Relic, Cloud Watch, Nagios, Splunk, Grafana, ITRS tool, Dynatrace and App dynamics

Cloud services

AWS, AZURE, GCP, on prem

Web/App Servers

NGINX, UWSGI, Apache Tomcat, JBOSS, Web Sphere, Apache Server

Database

Oracle 9i/10g/11g, SQL Server, MySQL, MongoDB, PostgreSQL

Operating Systems

RHEL (5.x, 6.x, 7x, 8.x, 9.x), SUSE Linux (9, 10, 11), CentOS 5, 6, Windows 2003, 2008, VMware ESX (3.5, 4.0).

Client: Verizon, Atlanta, GA Aug 2023 to present

Role: AWS Cloud DevOps Engineer

Responsibilities

Involved in supporting cloud instances running Linux and Windows on AWS, experience with Elastic IP, Security Groups and Virtual Private Cloud in AWS.

Extensive experience on configuring Amazon EC2, Amazon S3, Amazon Elastic Load Balancing IAM and Security Groups in Public and Private Subnets in VPC and other services in the AWS.

Automated infrastructure provisioning and management with Terraform, leading to reduced deployment times and increased reliability.

Streamlined daily operations and improved system administration using PowerShell scripts.

Demonstrated ability to integrate Spring Boot applications into CI/CD pipelines using tools like Jenkins, GitLab CI, automating the testing and deployment processes.

Design, implement, and manage infrastructure solutions on Microsoft Azure, with a focus on services like Azure Kubernetes Service (AKS) and Azure Data Factory (ADF).

Implement and manage IAM solutions in Azure, including the configuration of Azure Active Directory (AAD), app registrations, and Service Principals.

Utilize Terraform for Infrastructure as Code (IaC) to automate the provisioning and management of Azure resources. This includes defining infrastructure components, configurations, and dependencies.

Work with Azure Databricks for big data analytics and machine learning. Implement and manage private endpoints for enhanced security in data processing.

Strong proficiency in using Terraform for Infrastructure as Code, allowing for efficient and scalable deployment and management of AWS resources.

Created custom CloudFormation resources using AWS Lambda functions, extending the capabilities of CloudFormation templates to meet unique requirements.

Managed and maintained UNIX environments on Solaris, SuSE, and RHEL platforms.

Administered Kerberos authentication for enhanced security.

Orchestrated AWS cloud services using SSM for efficient system management.

Utilized CloudFormation for infrastructure as code, ensuring scalable and reliable AWS deployments.

Led Elastic DR initiatives, enhancing disaster recovery capabilities in the cloud.

Expertise in designing secure networking solutions and implementing private endpoints for enhanced security.

Strong communication skills to effectively collaborate with cross-functional teams and convey technical concepts.

Experienced in trouble shooting EC2 instances, S3 bucket, VPC, Elastic Load balancer, Relational Database Services.

Built scripts on AWS cloud for scheduling Auto Scaling load balancer with python Boot.

Proficient in setting up and configuring GitLab CI/CD pipelines to automate testing and deployment processes.

Integrated GitLab CI/CD with repositories for seamless integration, testing, and deployment of applications.

integrated GitHub Actions seamlessly into repositories for automated CI/CD, improving development speed and efficiency.

Developed shared libraries in Jenkins pipelines to streamline build, test, and deployment tasks across diverse environements.

Developed service restart scripts using shell and python.

Developed python scripts to monitor services and platform resources CPU utilization.

Designed and implemented diverse data ingestion patterns using Qlik Replicate for real-time data replication.

Proficient in scripting languages, including JSON, JavaScript, Bash, Pearl, PowerShell, SQL, and Python.

Implemented Infrastructure as Code using Terraform and Ansible, automating the deployment and management of cloud infrastructure.

Leveraged Docker and Kubernetes for containerized application deployments and orchestration.

Maintained version control using Git for infrastructure code and collaborated with cross-functional teams for successful project delivery.

Proficient in writing Terraform code to provision and manage infrastructure resources on cloud platforms like AWS, Azure, and GCP, ensuring consistent and repeatable deployments.

Developed Terraform modules and scripts to automate the creation and configuration of virtual machines, networks, databases, and other infrastructure components, reducing manual intervention and minimizing errors.

Managed Terraform code using version control systems like Git, facilitating collaboration with team members and ensuring proper versioning and change tracking.

Proficient in using AWS CDK to define cloud infrastructure and applications using python programming language.

Strong proficiency in Harness, GitHub, Artifactory, JIRA, and ServiceNow for streamlined DevOps processes.

Seasoned in Agile and DevOps methodologies, fostering collaboration and continuous improvement. Skilled in troubleshooting techniques and strong analytical skills for rapid issue resolution. Excellent verbal and written communication skills for effective team collaboration and documentation.

Proficient in using AWS CloudFormation to define, deploy, and manage AWS infrastructure as code, ensuring consistent and repeatable deployments.

Created CloudFormation templates in YAML or JSON to describe AWS resources, stacks, and dependencies, making use of best practices for organization and readability.

Managed CloudFormation stacks to provision and update AWS resources, handling stack creation, modification, and deletion while maintaining resource integrity.

Utilized CloudFormation parameters and mappings to dynamically configure infrastructure resources, making deployments adaptable to various environments.

Collaborated with cross-functional teams to integrate Artifactory, JIRA, and ServiceNow, enhancing artifact management, issue tracking, and service management.

• Orchestrated complex CI/CD workflows to automate builds, testing, and deployments across multiple environments.

• Integrated Jenkins with Git, enabling automatic build and test execution upon code changes and pull requests.

Expertise in using Ansible to setup continues delivery pipeline. Hands-on experience in Ansible playbook, YAML for maintaining roles inventory files and group variables and extensively worked on Jenkins.

Hand-on experience in integrating Jenkins CI tool with build automation tools like MAVEN, GRADLE for building of deployable artifacts (JAR, WAR & EAR) from source code.

Client: Bank of America, Plano, TX Sep 2020 to Aug 2023

Role: Linux Admin/Senior DevOps Engineer

Responsibilities

Involved in all aspects of the software development lifecycle (SDLC) such as Analysis, Planning, and Developing, Testing, and Implementing Post-production analysis of the projects using methodologies such as Agile, Scrum Models.

Implemented multiple CI/CD pipelines as part of DevOps role for on-premises and cloud-based software using Jenkins, Ansible tower.

Experienced in troubleshooting and automated deployment to web-based application servers like Web Logic and Apache Tomcat.

Expertise in using Ansible to setup continues delivery pipeline. Hands-on experience in Ansible playbook, YAML for maintaining roles inventory files and group variables and extensively worked on Jenkins.

Hand-on experience in integrating Jenkins CI tool with build automation tools like MAVEN, GRADLE for building of deployable artifacts (JAR, WAR & EAR) from source code.

Experienced in migrating non-containerized applications to containerized applications like Apache airflow, spring boot, flask, Django apps.

Managed UNIX environments on Solaris, SuSE, and RHEL platforms, ensuring optimal system performance.

Implemented security protocols including SUDO and Kerberos for enhanced system integrity.

Built and optimized Go applications for Docker containers, ensuring consistency and portability across different environments.

Implemented stack policies to control updates and changes to AWS resources, ensuring compliance and security.

Utilized cross-stack references to manage dependencies and share resources between different CloudFormation stacks, enabling complex application architectures.

Created custom CloudFormation resources using AWS Lambda functions, extending the capabilities of CloudFormation templates to meet unique requirements.

Implemented Spring Boot Actuator for monitoring and managing application health and performance metrics, ensuring robustness and reliability.

Conducted unit testing and integration testing of Spring Boot applications using frameworks like JUnit and Mockito to ensure code quality and functionality.

Implemented security best practices and compliance standards within Terraform configurations, ensuring secure and compliant infrastructure deployments.

Utilized Terraform to horizontally and vertically scale infrastructure resources as needed, optimizing resource utilization and cost efficiency.

Developed JIL files to schedule the jobs using AutoSys tool.

Expertise in horizon predefined Jenkins’s modules to control the end-to-end CICD pipelines using Jenkins and ansible.

Strong experience in maintaining the Azure DevOps services and application infrastructure.

Worked in container-based technologies like Docker, OpenShift and Kubernetes. Point team player on OpenShift for creating new projects, services for load balancing and adding them to Routes to be accessible from outside, troubleshooting pods through SSH and logs, modification of build configs, templates, Image streams, etc.

Experienced in OpenShift orchestrated Containerized deployments and PV’s setup.

Created app services monitoring dash boards using python and NGINX webserver.

Developed DB radical tool to automate the DDL’s and DML’s deployment in oracle database.

The deployment model uses Atlassian development repository tools, Jenkins as the build engine, while execution deployments to container orchestration tools ranged over time from OpenShift.

Deployed Docker Engines in Virtualized Platforms for containerization of multiple apps.

Implemented Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple names spaced versions.

Performed builds and managing configuration on production/development/testing environments.

Expertise in using Ansible to setup continues delivery pipeline. Hands-on experience in Ansible playbook, YAML for maintaining roles inventory files and group variables and extensively worked on Jenkins.

Implemented a production ready, load balanced, highly available, and fault tolerant Kubernetes infrastructure.

Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.

Extensively worked on Jenkins, Docker for continuous integration and for end-to-end automation for all build and deployment.

Developed the YAML scripts to configure the remote servers.

Created deployment scripts in python and shell scripting Django application deployment.

Working knowledge on Docker container, Linux container.

Hand-on experience in deploying non-containerized applications on VM’s. and debugging the issues during the deployments.

Extensive experience in defining the branching and the merging strategies, creating baselines and releasing the code. Worked with bug tracking tools like JIRA, Remedy.

Experienced in replacing NGINX reverse proxy by dedicated LBAAS and worked on creating SSL certificates to enable the SSL encryption to app services.

Hands on experience in creating and configuring FDNS behind the LBAAS and app services.

Experienced in experience in version control tools like GITBASH, GitHub, Bit Bucket, GitLab, perforce version where in experienced with tagging, branching and platforms like Linux/Windows.

Experience in deployment automation of all micro services to pull the image from the private Docker Registry to store images.

Experienced in defining and managing GCP infrastructure using IaC tools like Terraform and Deployment Manager.

Proficient in various GCP services such as Compute Engine, Kubernetes Engine (GKE), App Engine, Cloud Functions.

Strong understanding of GCP security principles, IAM, and experience in implementing security best practices.

Adept at setting up monitoring and logging solutions on GCP using Stackdriver, Prometheus, Grafana, and ELK Stack.

Extensive experience in integrating web-based apps with SSO, SAML and OAuth tools.

Experience in managing Kubernetes charts using Helm (Apache AIRFLOW). created reproducible builds of the Kubernetes application, managed manifest files and release of Helm packages. Created pods in Kubernetes and monitored the health of pods using Helm Charts.

Implemented a production ready, load balanced, highly available, and fault tolerant Kubernetes infrastructure.

Responsible to the maintenance of the application servers. Proficiency in multiple databases like MySQL, Oracle, PostgreSQL. Created utility to sync two Mysql databases using shell scripts and MySQL utilities.

Created Pipeline in Jenkins to support CI and written Jenkins’s file to support application.

Proficient with shell, bash, Python, PowerShell, YAML languages for automation, monitoring.

Expertise in LINUX/UNIX system builds, administration, installation, upgrades, troubleshooting on different distributions such as Ubuntu, CentOS.

Used Jenkins with SonarQube to analyze and get the better quality of the source code.

Maintained Cloud-bees Jenkins pipelines to deploy into production and non-production environments.

Utilized Hashicorp vault and CyberArk services for secrets management.

End to end triage of the Application and bug fixing. Experienced in Ansible tower deployments.

Developed NGINX config files to support reverse proxying, load balancing and caching.

Involved in debugging Hadoop based applications like HDFS, spark, Kafka, Hive config issues.

Developed python/shell automation scripts for monitoring services health check.

Worked on adding a new Splunk logging feature to Django application. Integrated all servers to Splunk Dashboard for error logging performance and to make Debugging easy.

Ability to work closely with teams, to ensure high quality and timely delivery of build and release.

Environment: Uwsgi, Nginx, Linux, Bit Bucket, Git version Control, IAM, Jenkins, Cloud Formation, Dyna trace, Splunk, CLI, Git hub, Auto Scaling, Maven, Docker, OpenShift, Kubernetes, Unix/Linux, Django, flask, Toad, MySQL, Autosys

Client: Anthem, Norfolk VA Sep 2018 to Sep 2020

Role: Cloud/DevOps Engineer

Responsibilities

Involved in supporting cloud instances running Linux and Windows on AWS, experience with Elastic IP, Security Groups and Virtual Private Cloud in AWS.

Extensive experience on configuring Amazon EC2, Amazon S3, Amazon Elastic Load Balancing IAM and Security Groups in Public and Private Subnets in VPC and other services in the AWS.

Experienced in trouble shooting EC2 instances, S3 bucket, VPC, Elastic Load balancer, Relational Database Services.

Built scripts on AWS cloud for scheduling Auto Scaling load balancer with python Boot.

Extensively worked on Jenkins CI/CD pipeline jobs for end-to-end automation to build, test and deliver artifacts and troubleshoot the build issue during the Jenkins build process.

Implemented continuous integration web hooks and workflows around Jenkins to automate the development and test environments to deploy workflow around ansible codebase.

Implemented Jenkins Code Deploy plugin to deploy to AWS and used to automate the build process and deploy the application to Tomcat server.

Maintained Cloud-bees Jenkins pipelines to deploy into production and non-production environments.

Collaborate in the automation of AWS infrastructure via terraform and Jenkins - software and services configuration via Ansible playbook.

Worked with Ansible playbooks for virtual and physical instance provisioning, configuration management, and patching and software deployment.

Involved in OpenShift orchestrated containerized deployments.

Assigned RBAC policies Confidential group level and user level as per the LTA created for the services implemented new (Automation account, scheduler, notification hub, IOT Hubs, Batch and other services)

Wrote power shell scripts to create the parameter files automatically for all the services in Azure Resource Manager

Assigned RBAC Roles using Organization Active Directory Confidential the Subscription Level to grant accesses only to required members based on Least-Access Privileges (we use CWS Groups)

Collaborated with cross functional teams (firewall team, data base team, application team) in execution of this project.

Used Service-Now tool for managing incidents and change request tickets.

Designed, installed, and implemented Ansible configuration management system, written Ansible playbooks and deployed applications. Used Git hub to store the code, integrated Ansible Tower with Git hub to deploy the Playbooks Used App Dynamics for Continuously analyses monitoring logs, measuring performance Bottlenecks.

Responsible for converting existing systems to an infrastructure as code (Terraform) while maintaining platform stability.

Worked on Server less cloud resource Lambda to configure and triggering files, to generate stacks and templates of corn job that will trigger every 30 minutes and for every corn job SNS will notifies you.

Worked with different scripting languages such as PowerShell, Bash as a part of writing scripts for the automation tasks.

Utilized CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backups.

Experienced in authoring pom.xml files, performing releases with the Maven release plugin and managing Maven repositories.

Designed and developed a horizontally scalable APIs using Python Flask.

Used Python to place data into JSON files for testing Django Websites.

Researched and implemented code coverage and unit test plug-ins with Maven/Jenkins.

Used Maven dependency management system to deploy snapshot and release artifacts to Nexus to share artifacts across

Deployed Docker Engines in Virtualized Platforms for containerization of multiple apps.

Implemented Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple names spaced versions.

Used Helm charts to deploy an application for the larger projects.

Implemented a production ready, load balanced, highly available, and fault tolerant Kubernetes infrastructure.

Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.

Extensively worked on Jenkins, Docker for continuous integration and for end-to-end automation for all build and deployment.

Engineered Splunk to build, configure and maintain heterogeneous environments and maintained log analysis generated by various systems including security products.

Used Service-Now tool for managing incidents and change request tickets.

Perform triage and troubleshooting on alarming and ticketing systems.

One of four members of change management team, reporting on and supporting entire network.

Provided 24/7 major incident management for website and DNS backbone incidents.

Cisco and F5 load balancing configuration and support.

Experienced in troubleshooting and automated deployment to web end application servers like Web Logic and Apache Tomcat.

Worked with logging/monitoring tools such as Cloud Watch and Nagios.

Environment: AWS, Apache Tomcat, Linux, Git version Control, VPC, EC2, ELK, S3, Route53, EBS, IAM, ELB, Jenkins, Cloud Formation, App dynamics, Helm charts, CLI, Git hub, Auto Scaling, Maven, Docker, Kubernetes, Unix/Linux, Nagios.

Client: Gati Transport, Hyderabad Jan 2016 – Apr 2018

Role: Build & Release Engineer

Responsibilities:

Setting up the automation environment for Application team if necessary and help them through the process of build and release automation.

Built and Deployed Java/J2EE to a web application server in an Agile continuous integration environment and automated the whole process.

Implemented multiple CI/CD pipelines as part of DevOps role for on-premises and cloud-based software using Jenkins, Ansible

Working on Java based application deployments on Kubernetes Clusters using Jenkins CI/CD integration and troubleshoot if any issues in deployments.

Used MAVEN as build tools on Java projects for the development of builds artifacts on the source code.

Participated in the release cycle of the product, which involved environments like Development, INT, QA, UAT and Production.

Responsible for the building and deploying the artifacts into DEV, INT, and QA Environments

Responsible for Development UIT, SYTEM, UAT, STAGING Builds and Releases.

Have worked in LINUX IDE for C/C++, UNIX Shell Scripting and Knowledge in Perl, python scripting.

Imported and Managed Multiple Corporate Applications into Subversion (SVN).

Worked on POC for an internal application and created Docker images.

Used Docker to virtualize Deployment containers and push to low tier environments.

Configured and automated the Jenkins Build jobs for Continuous Integration.

Used Apache Tomcat as application server for deploying the artifacts.

Experience in supporting Linux Containers.

Experience in working with web-sphere applications for middleware integration.

Implemented multi-tier application provisioning in Open Stack cloud, integrating it with Ansible.

Administered and Engineered Jenkins for managing weekly Build, Test and Deploy chain, SVN/GIT with Develop/Test/Prod Branching Model for weekly releases.

Built and migrated applications on Microsoft Azure Cloud Platform on different cloud service offering cloud solutions like IAAS and PAAS Azure Platforms and Automation processes within Azure via portal and PowerShell including Run Books and Scheduling Automation.

Written numerous ARM templates for template only deployment procedures and automated some templates deployment through Azure Functions.

Implemented Network traffic rules and Access Control Lists (ACL) for Virtual Network in Microsoft Azure Cloud Service Platform.

Developed UNIX and Perl Scripts for the purpose of manual deployment of the code to the different environments and e-mail the team when the build is completed.

Executed the DB Scripts (DML’s), which have dependencies on the code on Oracle DB

Environment: Java, Maven, GIT, Jenkins, Linux, Solaris, Web Sphere, Shell scripting, Nexus, Tomcat, Confluence, JIRA, ANT, Linux, Azure, Perl, Oracle DB.

Client: Eidiko Systems Integrators Private Limited, Hyderabad Jun 2015 – Dec 2015

Role: System Admin/Linux Administrator

Responsibilities:

Performed installation, configuration, upgrades, Package administration and support for Linux Systems on client side using Red Hat satellite network server.

Worked on RedHat Linux installation, configuring and maintenance of applications on this environment. Performed automated installations of Operating Systems using kick start for Linux.

Package management using RPM, YUM and Update in Red Hat Linux Installation.

Scheduled users to perform High Performance

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