Sr. AZURE /INFRA /DEVOPS ENGINEER

Harish Gullapalli

Email: adt12c@r.postjobfree.com

Phone: 469-***-****

SUMMARY:

** ***** ** ****** ********** Engineer & CI/CD (Continuous Integration/Continuous Deployment) engineer and solid experience in working on DevOps/Agile operations process and as Developer around tools (Code review, unit test automation, Build & Release automation, Environment Management).

Well Versed in building and deploying applications on to different environment such a QA, UAT and productions.

Extensive knowledge on Orchestration tools like Ansible / Chef and API integrations and provide solution for OS standardization and middleware / application deployments

Experience in various Azure Services like Golang, Python, Compute (Web Roles, Worker Roles), Caching, SQL Azure, NoSQL, Storage and Network Services, Azure Active Directory, Internet of Things (IoT), Azure Monitoring, API Management, Scheduling, Auto scaling, Azure Identity & Access Management, Data Factory, PowerShell Automation and other Azure Services and Helm chart creation.

Experience in provisioning of IaaS, PaaS Virtual Machines and Web, Worker roles on Microsoft AZURE Classic and Azure Resource Manager (ARM), GCP Deployed Web applications on Azure using Power Shell Workflow.

Extensive experience and understanding in all phases of Software Development Life Cycle.

Strong Analytical, Inter-personnel, Problem-solving, Communication skills and proven ability to rapidly acquire knowledge on new technologies and implement them in software projects.

Experience in development and configuration experience with software provisioning tools like Chef, Puppet, Ansible and Terraform

Experiences in using build/deploy tools such as Jenkins, Helm chart creation, Docker and Open Shift for Continuous Integration & Deployment for Microservices.

Competent extent of skills on DevOps essential tools like Chef, Puppet, Ansible, Docker, Git, Jenkins, Maven.

Responsible for on boarding application teams to build and deploy their code using GitHub, Jenkins and Ansible.

Set-up CI/CD pipelines with Jenkins and hands on experience in building freestyle projects, pipeline, and multi branch pipeline Jobs through Jenkins file.

Basic Knowledge of secure key storage facilities and techniques.

Knowledge of asymmetric and symmetric cryptography.

Hands on experience in Manual& Automation Testing, which involves User Interface, Functionality, Regression and System Integration Testing.

Strong use of Shell scripting languages, including Bash for Linux and Mac platforms and Power Shell for Windows systems

Strong understanding and working experience with CI/CD and available tools i.e., usage of Jenkins, Selenium, Cucumber, Sonar and Gherkin, component test automation.

Facility with development methodologies, including Agile.

Excellent configuration management using Puppet, Chef and Ansible.

Proficient in writing Jenkins scripts for CI/CD Pipelines using Groovy.

Wrote Ansible playbooks to launch AWS instances and used Ansible to manage web applications, configuration files, used mount points and packages.

Experienced in full automation and configuration management desirable.

Ample knowledge in using Tomcat and JBOSS Application servers for deployments

Security and Compliance, e.g., IAM and cloud compliance/auditing/monitoring tools

Strong experience in automating Vulnerability Management patching and CI/CD using Chef and other tools like GitLab, Jenkins, and AWS/Open Stack.

Involved in very effective Agile SCRUM process & Automated Test Cases based on TDD methodology. Testing REST API’s using Advanced Rest Client.

Well versed in Oracle RDBMS and MY SQL and proficient in SQL queries.

Hands on Linux based systems, writing Shell Scripts and for prod and non-prod environments, CD Pipelines on Jenkins.

Developed REST API services for Chef and integrate with various Orchestration layers within CITI using IBM API Management Tool.

Worked on JIRA Scrum Boards and Ticketing Tools, Splunk Logging for Issue debugging.

Extensive experience in NOSQL databases like MongoDB and Elastic search.

Expertise in Scrum Methodologies such as Agile and Waterfall methods, software development lifecycle management, continuous integration, build and release management and managed environments

Involved in solving productions issues and critical remedies at client-side environment.

Involvement in Code Review for the code units developed by the team.

TECHNICAL SKILLS:

Operating Systems:

Red Hat Linux, WINDOWS, Unix

Cloud Tools and Technologies:

Microsoft Azure, Amazon Web Services (AWS): EC2, S3, IAM, SNS, SQS, Lambda, server less, Cloud Watch, EKS, ECS, ECR, ELB, Auto Scaling, KMS, Cloud Front, Cloud Formation, Elastic File system, RDS, DMS, VPC, Direct Connect, Route 53, Cloud trail, Elastic Beanstalk.

Languages:

Java, XML, SHELL, RUBY, YAML, C#, .Net, Python

Databases:

MySQL, Oracle, Mongo DB

Artifactory Repositories:

Nexus

CM Tools:

Ansible, Chef, Puppet

Web/Application Servers:

Tomcat, JBoss

Build Tools:

Maven

CI/CD Tools:

Jenkins

Automation container:

Docker, Kubernetes, OpenShift

SCM Tools:

GIT, Bitbucket, Gitlab

Bug Reporting Tools:

JIRA

Monitoring Tools:

Splunk, AWS Cloud Watch, Prometheus, ELK- Elastic Search, Kibana

Methodologies:

Agile/Scrum, Waterfall

EDUCATION:

Masters –Computer Networking, Wichita State University, KS USA (2014)

Bachelors –Electronics and Communication Engineering, GEC, Vijayawada, AP, India (2012)

PROFESSIONAL EXPERIENCE:

Client: INFOVERITY, Dublin OH Jan 2019 – Till date

Role: Sr. Azure Lead / DevOps Engineer

Responsibilities:

Deploy, configure and maintain computation on Azure cloud.

Troubleshoot issues and engage with teams and vendors for issue resolutions.

Automate deployment and troubleshoot mechanism for quick service.

Develop and implement new process and provide documentation of it.

Handled work assignment through the ticketing system or form lead administrators.

Performed software installation and maintenance task for cloud infrastructure.

Conducted technical evaluation and proof of concept programs evaluating and implementing new technologies and tools.

Configured Service Connections in Azure DevOps to connect to Azure Subscriptions using the App registration (Service Principle), PowerShell, SOC, Helm chart creation and Common library.

Managed deployment to different environments using Jenkins and helped team by unblocking them resolving the pipeline issues.

Involved in creating the CD/CI pipelines to execute the functional tests as part of the build process using Jenkins.

Managed GitHub repositories and permissions, including branching and tagging.

Create, maintain and administrating GitHub and Subversion repositories as source code managements.

Implement patching solutions using a configuration management tool as well as leveraged update management feature in Azure and documented the end-to-end process to provide as a service.

Resolving network issues, Provisioning Vnets, python and running test scripts and preparing network documentation.

Worked extensively with Helm chart creation, PowerShell, Chef, python, groovy, SOC, GCP, C#, Puppet, Salt & Ansible in production environments.

Worked on CI/CD pipelines Automation leveraging Jenkins as well quality analysis using SonarQube.

Used Azure Monitoring for monitoring the daily activities performed in AZ cloud and setup alerts.

Creating new build jobs, Integration testing jobs and deploy jobs in Jenkins to automate the process.

Developed procedures to unify, streamline and automate application development and deployment procedures with Linux container technology using Docker.

Environment: Git, GitHub, GitLab, Bitbucket, Jenkins, python, groovy, SOC, PowerShell, CI/CD, Argo CD, Rancher, Maven, Python, Bash, Shell, Power shell, Unix, Linux, Docker, Docker hub, Docker swarm, Docker Engine, Kubernetes, Kubernetes Cluster, Azure, Azure DevOps, AWS, Nexus, Jfrog, Terraform, Iaas, Paas, Saas, MySQL, DynamoDB, MongoDB, Prometheus, Grafana, Splunk, Nagios, Ansible, Chef, Puppet, OpenShift.

Client: MARKEL CORPORATION, GLEN ALLEN, VA Jan 2016 - Dec 2018

Role: Sr. Azure Lead / DevOps Engineer

Responsibilities:

Worked on Microsoft Azure (Public) Cloud to provide IaaS support to client as an Architect Level. Set up Automation to create Virtual Machines through Power Shell Script and Azure Portal, Created and managed Storage Account and Affinity Group in Azure Portal.

Configured Site to Site VPN Connectivity. Configured Window Failover Cluster by creating Quorum for File sharing in Azure Cloud.

Designed AZURE Resource Manager (ARM) templates and custom build steps using PowerShell. Identified and logged defects in VSTS and interacted with developers to prioritize the issues.

Defined resources and specified deployment parameters to Azure Resource Manager (ARM) templates to create resource group of virtual machines.

Create and maintain fully automated CI/CD pipelines for code deployment using groovy.

Generated Docker files to build Docker images, python, groovy, PowerShell, GCP, Helm chart creation, C# and leveraged Docker containers in Kubernetes.

Built and deployed Docker containers to break up monolithic app into microservices, improving developer workflow, increasing scalability, and optimizing speed.

Reduced deployment time for critical agile project infrastructure from ~1 month to 2 days.

Provided production and pre-prod support for multiple applications involving Java, python, Golang involving tools like Jenkins, Helm chart creation, Kubernetes etc.

Created YAML templates and updated packages of various applications using Ansible Playbooks.

Tested procedures to unify streamline and automate applications development and deployment. Procedures with Red Hat Linux container technology using Kubernetes and C#.

Used spring config server for centralized configuration and Splunk for centralized logging. Used Concourse and Jenkins for Microservices deployment.

Consumed REST services in UI service layer with the help of http and resource providers.

Regularly participated in Technical and Used Case review meetings for various functionalities in the application for python.

Test, build, design, deployment, and ability to maintain continuous integration and continuous delivery process using tools like Jenkins, GCP, mavenGit, C# etc.

Regularly participated in Technical and Used Case review meetings for various functionalities in the application.

Involved in Interface Testing (API testing) for Helm chart creation and ensured data and control are working properly between middleware and backend systems using complex Application Programming Interface (API).

Environment: BitBucket, Jenkins, CI/CD, Maven, mavenGit, Bash, Shell, Power shell, Unix, Linux, Docker, Dockerhub, Docker swarm, Docker Engine, Kubernetes, Kubernetes Cluster, Helm chart, Azure, Azure DevOps, AWS, Terraform, Iaas, Paas, Saas, MySQL, DynamoDB, MongoDB, Prometheus, Grafana, Splunk, Ansible, Chef, Puppet, Openshift.

Client: AETNA, Hartford CT. Aug 2013 - Dec 2015

Role: Sr. Cloud DevOps Engineer

Responsibilities:

Implemented a Continuous Delivery framework using Azure pipelines, Azure DevOps.

Analyzed on premise applications infrastructure and designed VM sizing and disk sizes in Azure cloud.

Configured Service Connections in Azure DevOps to connect to Azure Subscriptions using the App registration (Service Principle) and Common library.

Designed, developed and built medium to large-scale pipelines using multiple DevOps tools like groovy, JIRA and Selenium is required.

Involved in creating the CD/CI pipelines to execute the functional tests as part of the build process using Jenkins.

Optimized current CI/CD process and streamline automation effort for server provisioning and deployment

Installed and configured Jenkins, C# creation of master and slave nodes to handle multiple builds. Installation of plug-in wherever required for the implementation of those builds.

Created YAML templates and updated packages of various applications using Ansible Playbooks for GoLang.

Configured Jenkins pipeline for auto deployment through continuous integration (Jar build, AMI creation, Integration test, contract test, performance test, deploy in Test environment and then into Production.

Configured AWS Identity and Access Management (IAM) to securely manage AWS users & groups and used policies & roles to allow or deny access to AWS resources.

Worked on configuration and deployment of instances on AWS environment and familiar with EC2, Cloud watch, Elastic Search and managing security groups on AWS.

Designed AWS Cloud Formation templates to create custom sized VPC, subnets, GoLang, python NAT to ensure successful deployment of Web applications and database templates.

Designing and implementing for fully automated server build management, monitoring and deployment By Using DevOps Technologies like Chef.

Responsible to develop and execute the functional test cases using groovy and cucumber.

Consumed REST services in UI service layer with the help of http and resource providers.

Regularly participated in Technical and Used Case review meetings for various functionalities in the application.

Managed deployment to different environments using Jenkins and helped team by unblocking them resolving the pipeline issues.

Involved in creating the CD/CI pipelines to execute the functional tests as part of the build process using Jenkins.

Worked on container orchestration tool Docker and deployment tool as Kubernetes. Defined Docker File for application image and YAML files for deployment.

Involved in Interface Testing (API testing) and ensured data and control are working properly between middleware and backend systems using complex Application Programming Interface (API).

Environment: Git, GitHub, GitLab, BitBucket, Jenkins, CI/CD, Maven, Python, Bash, Shell, Power shell, Unix, Linux, Docker, Dockerhub, Docker swarm, Docker Engine, Kubernetes, Azure, AWS, Nexus, Jfrog, Terraform, MongoDB, Splunk, Ansible, Chef, Puppet, Openshift.

Client: INDUS INFOTECH, India. Jan 2012 - June 2013

Role: DevOps Engineer

Responsibilities:

In-depth knowledge on Jenkins to set up all the stages of CI/CD Pipeline such as version control, build, unit test, deploy, auto test, and deployment to production.

Experience in AWS, Tomcat, MySQL, Oracle, and tool like Prometheus.

Experience in maintaining code quality and code security tool like SonarQube, Selenium.

Experience in containerized technology like Docker, Kubernetes.

Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments using Jenkins

Building Docker images and fetch/promote and deploy to Production.

Setup and maintain a Docker repository, nexus repo, Linux package manager.

Good Expertise and Experience with Infrastructure as a Code using Ansible.

Good Experience in writing Yaml script to automate the process.

Knowledge in writing scripting languages like Python, Shell Scripting, and PowerShell.

Responds constructively and quickly to shifting goalposts or changing requirements

Cope effectively with rapid change or increased demands

Analytical and problem-solving skills

Excellent communication skills

Team Player & organizational and leadership skills.

Environment: Ansible, SonarQube, Selenium, Python, Nexus Repo, Shell Scripting, PowerShell.

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