PROFESSIONAL SUMMARY:

• Software Integrator andDevOpsEngineer for complex systems with 9+ years of experience in designing the CI/CD process including Software Configuration Management, development cycles, Server configuration, Continuous Integration, Product packaging and managing Release cycles under a variety of technologies.
• Hands on experience working with Version Control tools such as GIT and Apache subversion to perform various tasks such as create and edit repository configurations and assigning access parameters to users, branching repositories depending upon project requirements, generating logs and reviewing changes.
• Experienced in AWS services such as EC2, ELB, Auto - Scaling, S3, IAM, VPC, RDS, Dynamo DB, Cloud Trail, Cloud Watch, Lambda, Elastic Cache, Glacier, SNS, SQS, Cloud Formation, Cloud Front, Elastic Load Balancing, Beanstalk, EMR, AWS Workspaces.
• Proficiency in strategy and practical implementation ofAWSCloud Services likeEC2,S3,VPC, CloudFormation, IAM, Storage Gateway,S3, Glacier,AWS Auto Scaling in launchingEC2 instances, EBS,AWS Lambda,EKS.
• Deployed application which is containerized usingDockeronto aKubernetescluster which is managed by Amazon Elastic Container Service for Kubernetes (EKS).
• Experienced with setup, configuration and maintain ELK stack (Elasticsearch, Logstash and Kibana) and OpenGrok source code (SCM)
• Experience in dealing with Windows Azure virtual networks, virtual machines, cloud services, resource groups, express route, traffic manager, VPN, load balancing, application gateways, auto-scaling, reading Azure VMs, storage accounts, VHDs, storage pools, migrating on premise servers to Azure and creating availability sets in Azure.
• Implemented Helm charts into our CI pipeline so that deploying new services is easier than ever before creation of a new CI/CD pipeline from scratch in Azure DevOps and Configured and maintained Azure DevOps pipelines, including automated builds and deployments.
• Responsible to designing and deploying new ELK clusters (Elasticsearch, Logstash, Kibana, beats, Kafka, zookeeper etc.
• Design, build and manage the ELK (Elasticsearch, Logstash, and Kibana) cluster for centralized logging and search functionalities for the App.
• Skilled in monitoring servers using Nagios, Cloud watch and using ELK Stack Elasticsearch Fluentd Kibana.
• Assist leadership with the ongoing development of Azure policies and procedures for the purpose of consistent product delivery
• Experience in designing aTerraformand deploying it in cloud deployment manager to spin up resources like cloud virtual networks,Compute Enginesin public and private subnets along withAutoScalerinGoogle Cloud Platform.
• Involved ETL tool Informatica in designing the Workflows, Worklets, Mappings, Sessions and configuring the Informatica Server using Informatica Power Center 8.6 and scheduling the Workflows and sessions using scheduling tools, Control M.
• Worked in ETL design and development - understanding the tradeoffs of various design options on multiple platforms using multiple protocols.
• Working with ETL tool suite to design and develop work flows, transformation mappings, and UNIX scripting.
• Experience in Designing, Architecting and implementing scalable cloud-based web applications usingAWSandGCP.
• Experience in working withAnsible Towerto manage multiple nodes and manage inventory for different environments and automated the cloud deployments usingAnsible, andAWS Cloud FormationTemplates.
• Expertise in deployingAnsibleplaybooksinAWSenvironment usingTerraformas well as creatingAnsibleroles usingYAML. UsedAnsibleto configureTomcatservers and maintenance.
• Created Azure services using ARM templates (JSON) and ensured no changes in the present infrastructure while doing incremental deployment.
• Creating, validating and reviewing solutions and effort estimate of converting existing workloads from classic to ARM based Azure Cloud Environment.
• Designed and implemented automated process of build and deployment for various .Net and Java applications using various tools as per the needs of projects which includes TFS,GIT,Jenkins and Anthillpro.
• Gathered Client requirements and converting them into the Technical Specifications and developed Web forms using C#.NET.
• Developed ASP.NET MVC 4 application in Test Driven Development environment using Microsoft Test as the Testing framework.
• Set up aGCPFirewall rules in order to allow or deny traffic to and from theVM'sinstances based on specified configuration and usedGCPcloudCDN(content delivery network) to deliver content fromGCPcache locations drastically improving user experience and latency.
• Experience with different cloud domains which includes Amazon Web Services, Google Cloud Platform, and Azure Cloud.
• Develop and maintain cloud infrastructure using a combination of Jenkins, Chef and Terraform for Automating CI/CD pipeline in AWS.
• Core development experience Groovy Grails restful web services.
• Utilized git forking workflow with feature branches and pull requests for Terraform GitOps. Terraform plan/apply jobs run within Jenkins pipelines for pre-prod and production AWS environments builtGitOps-powered continuous delivery pipelines for application deployments.
• Built a user-friendly interface and GitOpspipelines that concealed the complexity of the underlying Kubernetes platform and allowed for baked-in best practices and enforcement of security policies.
• Responsible for writing the Design specifications for the generic and application specific web services in Groovy Grails .
• Web Application Development using Groovy Grails JQuery, AJAX.
• JIRA development with Java and Groovy Scripting
• Worked with container-based deployments using Docker, Docker images, Docker file, Docker Hub, Docker Compose and Docker registries for task and service definitions to deploy tasks on AWS ECS clusters on AWS EC2 instances.s
• Deployed aECSpplication which is containerized using Docker onto a Kubernetes cluster which is managed by Amazon Elastic Container Service for Kubernetes (akseks). Configured Kubectl to interact with Kubernetes infrastructure and used AWS Cloud Formation Templates (CFT) to launch a cluster of worker nodes on Amazon EC2 instances. application
• Create A SPLUNK search processing Language (SPL) queries, reports and dashboards.
• Functional with network services like DNS, DHCP, DDNS, IP4, IP6, IPsec, VPN etc.
• Manage configuration of Web App and Deploy to AWS cloud server through Chef.
• Monitored and tracked SPLUNK performance problems, administrations and open tickets with SPLUNK.
• Experience with setting up Chef Infra, Bootstrapping nodes, creating and uploading Chef Recipes, Chef Node convergence in Chef SCM.
• Setting up GitOps tools, ArgoCD to maintain deployment in OpenShift cluster, to treat infrastructure as code
• Hands on experience usingArgo CDto trigger fully automated builds from GitHub for the applications which needs often build releases. Utilized advantages ofGITOPSin the build and release processes for automation usingBitbucketasVersion Control.
• Performed configuration and deployment orchestration solution for system administrators who perform various tasks such as configuring, provisioning, troubleshooting and maintaining server operations using Chef, Ansible and Puppet.
• Used ANT, MAVEN and Node JS as build tools on Java and JavaScript projects for the development of build artifacts on the source code. Worked on Tomcat Web server for hosting web apps.
• Technical design of the Sybase Upgrade/Oracle Upload Script migration
• Strong experience with Sybase ASE and Unix
• In Database DBA and development experience in Sybase and SQL Server
• Experience in ETL process and relational Databases (Sybase)
• Monitoring the application and hardware alerts in sockeye and taking required action based on the knowledge article if present else identify the fix by working with relevant dev and infrastructure team
• Use Stash, Git for source code control, TeamCity for generating the builds, Serena & TCM for deployment activities, Windeploy for code promotion & deployment, and Jira for project management.
• Help identify and manage risks and dependencies with teams inside and outside of the train
• Worked on migration of offline database infrastructure to cloud using several database technologies such as Oracle DB, MySQL, NoSQL, AWS RDS, Dynamo DB and Redis.
• Implemented a 'server less' architecture using API Gateway, Lambda, and Dynamo DB and deployed AWS Lambda code from Amazon S3 buckets. Created a Lambda Deployment function, and configured it to receive events from your S3 bucket
• Designed the data models to be used in data intensive AWS Lambda applications which are aimed to do complex analysis creating analytical reports for end-to-end traceability, lineage, definition of Key Business elements from Aurora.
• Worked on Redis queries to speed up the pipelining with request/response protocols to call several functionalities and operations associated with scripting rules, Worked on Pub/Sub messaging paradigms, Lua scripting/debugging for Redis scripts, Worked on memory optimizations, Integrating Redis Module APIs with several functionalities.
• Experience on SonarQube to check the code quality and code coverage by using custom quality gates and quality profiles for multiple programming languages. Included this tool as a pipeline build step.
• Worked on Blackduck and Veracode to perform scans for open source vulnerability and application integrity. Included these tools as build steps in the pipelines and also granted exclusive access to developers depending upon requests.
• Experience in JIRA task tracking and documenting the completed tasks in Confluence. Worked on ServiceNow for logging changes made to architecture and tracking tickets assigned for tasks by application teams.
• Automated various infrastructure activities like continuous deployment, Application server setup, stack monitoring using Ansible playbooks and has integrated Ansible with Jenkins. Wrote Ansible playbooks with te SSH, Managed configurations of AWS nodes and tested playbooks on AWS instances using Python. Developed Ansible scripts for AWS Orchestration and designed new back end services, Maintaining and expanding of AWS infrastructure.
• Expertise on working with Docker and Kubernetes to perform various tasks such as orchestrating the deployment, scaling and management of Docker containers, Docker images and Docker hub. Used Jenkins pipeline to drive all micro service build outputs to the Docker registry and deployed to Kubernetes. Utilized Docker and Kubernetes for the run time environment of CI/CD system to build and test deployments.
• Experience in developing Spark applications using Spark-SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats for Analyzing& transforming the data to uncover insights into the customer usage patterns.
• Extract Transform and Load data from sources Systems to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks.
• Hands on experience on Unified Data Analytics with Databricks, Databricks Workspace User Interface, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL.
• Responsible for developed, invoking and implemented validations on JSF backing beans.
• Developed ADF Model components (creation, configuration, and tuning of entity objects, view objects, application modules, bindings and data controls).
• Extensive experience with configuration tools to create, change and improve infrastructure as code using Terraform. Deployed configuration management and provisioning to AWS using Terraform. Involved in automated deployment of EBS on AWS cloud EC2 instance server and automated the complete deployment environment on AWS. Created multiple Terraform modules to manage configurations, applications, services and automate installation process for web server and AWS instances.

TECHNICAL SKILLS:

Cloud Platforms: AWS, Azure, Google Cloud Platform

Automation Tools: Jenkins, Chef, ETL, Puppet, Ansible, Docker, Kubernetes, Terraform

Database Systems: Oracle DB, MySQL, AWS RDS, Dynamo DB, Redis

Version Control Tools: GIT, Subversion, Bit bucket, GITHUB

Web Servers: ApacheTomcat, Nginx, WebLogic, Web Sphere, Databricks, ADF

Scripting Languages: Perl, Python, Ruby, Bash/Shell Scripting, Groovy

Application Servers: Web Logic Application server, Apache Tomcat

Volume manager: VERITAS volume manager, Logical Volume Manager

Build tools: Maven, Sonar, Ant

Monitoring Tools: Log Stash, Splunk, Nagios, ELK, New Relic

Container Tools: Docker, Kubernetes

Infrastructure: Docker Swarm, Kubernetes, ARM

Operating system: Windows, Linux, UNIX

Cloud Management: VMware Cloud Management Suite

PROFESSIONAL EXPERIENCE:

Confidential, Philadelphia, PA

DevOps Engineer

Responsibilities:

• Extensive experience working on AWS servers and Azure servers performing several operations.
• Managing and Navigating through several repositories in Github and Bitbucket, assigning unique identifier tags such as asset ID, Production ID, Configuration ID.
• Creating Amazon EC2 Cloud Instances using Amazon Web Services and Configuring launched instances with respect to specific applications.
• Working on Multiple AWS instances, set the security groups, Elastic Load Balancer, and AMIs, Auto scaling to design cost - effective, fault tolerant and highly available systems.
• Created S3 buckets in the AWS environment to store files, sometimes which are required to serve static content for the web application. Experience with Terraform to build infrastructure as a code(IaC)
• Implemented a GIT mirror for SVN repository, which enables users to use GIT.
• Implemented Continuous Integration (CI/CD) using Jenkins and GIT.
• Build scripts using Maven build tools in Jenkins to move from one environment to other environments.
• DevelopedTerraformtemplates to create load balancers (ELB), EC2 instances with auto scaling, monitoring on the fly for different environments such as QA, SIT, stage which will run on different VPCs.
• Configuring and Networking of Virtual Private Cloud (VPC).
• Experience in Designing, Architecting and implementing scalable cloud-based web applications using AWS and GCP.
• Used Microsoft Entity Framework Code First approach for the Data Access Layer for the ASP.NET MVC 4 application.
• Worked closely with Business Teams and Technical Design Architects to understand the flow and client enhancements to the existing applications along with the QA Team.
• Used C#.NET as language to develop code behind business logic.
• Worked closely with Cloud teams to build and deploy VM's using Open Stack and VMware.
• Installed and deployed the VMware ESX containers for the VM cloud and Vsphere
• Modified web services using C# to interact with the other applications and exposed them using SOAP and HTTP.
• Set up a GCP Firewall rules in order to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
• Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.
• Developed CloudFormation scripts, deployed resources and automated EC2 instances.
• Experienced with event-driven and scheduled AWS Lambda functions to trigger various AWS resources.
• Assist leadership with the ongoing development of Azure policies and procedures for the purpose of consistent product delivery.
• Responsible to designing and deploying new ELK clusters (Elasticsearch, Logstash, Kibana, beats, Kafka, zookeeper etc.
• Design, build and manage the ELK (Elasticsearch, Logstash, and Kibana) cluster for centralized logging and search functionalities for the App.
• Responsible for designing and deploying new ELK clusters (Elasticsearch, Logstash, Kibana, beats, Kafka, zookeeper etc.
• Wrote Terraform templates for AWS Infrastructure as a code (IaC) to build staging, production environments & set up build & automations for Jenkins.
• Worked on Windows Azure Services like PaaS, IaaS and worked on storages like Blob (Page and Block), SQL, Azure.
• Used Azure Kubernetes Service (AKS) to deploy Kubernetes cluster in Azure. Created an AKS cluster in the Azure portal, with the Azure CLI and used template driven deployment options such as Resource Manager Templates and Terraform.
• Managed infrastructure resources like physical machines, VM's and Docker containers using Terraform.
• Created a workspace for log analytics and enabled clustered addons, used integrated Azure Kubernetes service to check and figure out if requests are failing, inspected Kubernetes event or logs and monitor your cluster health.
• Created CI/CD Pipelines on Azure DevOps environments by providing their dependencies and tasks.
• Configuring the Docker containers and creating Docker files for various environment and worked on Kubernetes environment.
• Creating CloudWatch alerts for instances and using them in Auto-scaling launch configurations.
• Installed and configured Docker containers and orchestration platforms such as ECS and Kubernetes.
• Involved in development of Test environment on Docker containers and configuring the Docker containers.
• Performed automation tasks on various Docker components like Docker Hub, Docker Engine, Docker Machine and Docker Registry. Worked with Docker images & Docker Container.
• Involved in development of Test environment on Docker containers and configuring the Docker containers usingKubernetes.
• Created scripts in Python to automate log rotation of multiple logs from web servers.
• Implemented and maintained the monitoring and alerting of production and corporate servers/storage using AWS CloudWatch logs, Nagios.
• Web enabled the application using Servlets, JDBC, Session Beans, JMS, JSP, and EJB.
• PrepareJava/J2EEdevelopment structure for Eclipse, maven, Jetty.
• Used the Eclipse as IDE, configured and deployed the application onto WebLogic application server using Maven build scripts to automate the build and deployment process.
• Developed and designed interfaces using HTML, JSP, Server Side components using Servlets on
• Involved in study of business processes, collection of functional & technical requirements Eclipse and usedJPAannotations.
• Good knowledge on Jenkins pipelines, Created and managed multiple projects based on folder view with their respective contents and dependencies inside the folder. Created active directory groups for access parameters for several teams in the project.
• Worked on JIRA for sprint sessions with user story and task assignment for approaching weekly targets. Hosted meetings, assigned targets and tasks for weekly progression.
• Worked on ServiceNow platform with the team to solve complex incidents, problems and tasks with several inputs from several clients/ customers.
• Worked on Docker containers for containerizing applications and builds to perform various tasks.
• Worked on Kubernetes by deploying configurations using yaml files and also orchestrating the container management. Created pods, clusters, nodes. Assigned master and worker nodes for extensive scaling of the modules.

Environment: s: AWS, Azure, Jenkins, Bamboo, Github, Bitbucket, GCP, CA release automation, SonarQube, Confluence, JIRA, ServiceNow, AIM Agent, CyberArk, Kubernetes, Mesosphere, Groovy and Python Scripting.

Confidential, Norfolk, VA

DevOps Engineer

Responsibilities:

• Hands on experience in Amazon Web Services (AWS) provisioning and good knowledge of AWS services like EC2, S3, Glacier, ELB (Load Balancers), RDS, SNS, SWF, and EBS etc.
• Implementing new projects builds framework using Jenkins, Maven as build framework tools.
• Participate in Multiple Projects Architectures and Strategic Decisions meetings to Architect the new Software systems or modify the Existing ones.
• Designing and Implementing AWS cloud - based solutions for on premise applications.
• Responsible for automating the complete project using orchestrator and deploying the stacks in multiple environments.
• Deployed AWS using Terraform on EC2 instance server and automated the complete deployment environments.
• Migrated and automated cloud deployments using API's, Ansible, python and AWS Cloud Formation Templates.
• Implemented a 'server less' architecture using API Gateway, Lambda, and Dynamo DB and deployed AWS Lambda code from Amazon S3 buckets. Created a Lambda Deployment function, and configured it to receive events from your S3 bucket
• Expertise in using IAM to create and manage AWS users and groups, and use permissions to allow and deny their access to AWS resources.
• Regular review and monitor each of your IAM policies to improve the security of your AWS account.
• Implementing a Continuous Delivery framework using Jenkins, Ansible, and Maven in Linux environment.
• Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS nodes and Tested Playbooks on AWS instances using Python.
• Created Python Scripts to Automate AWS services which include web servers, ELB, Cloud front Distribution, database, EC2 and database security groups, S3 bucket and application configuration, this Script creates stacks, single servers or joins web servers to stacks.
• Used Cloud formation to spin up resources effectively, Creating blueprint documents and templates in Cloud formation. Orchestrated provisioning of desired resources using cloud formation.
• Implemented automation scripts for AWS API calls, wait loops, retry logic and several other operations using Cloud Formation. Achieved various operational results such as automatic rollbacks, cleanups and event logging and helpful AWS support using cloud formation.
• Used Terraform to automate, manage and provision infrastructure. Hosted webservers and load balancer for provisioning of resources to optimize the project.
• Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation. Orchestrated and migrated CI/CD processes using Terraform Templates and Containerized the infrastructure using Docker, which was setup in Vagrant, AWS and VPCs. Worked with Terraform to create AWS components like EC2, IAM, VPC, ELB, Security groups and Configured RDS instances using Cloud Formations and Terraform. Authored Terraform modules for infrastructure management. Authored and published a module to the Terraform registry for enterprise customers to deploy our product inside their AWS environment.
• Created Architecture and built Minimum Viable product (MVP) for containerization platform using Docker and Kubernetes. Worked with Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud. Installed and managed Kubernetes applications using helm and created private cloud that supports DEV, TEST, and PROD environments. Deployed Kubernetes Cluster with master/minion architecture and wrote many YAML files to create many services.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring using Ansible playbooks and has Integrated Ansible with Jenkins.
• Worked on Docker engine and Docker Machine environments, to deploy the micro services-oriented environments for scalable applications, Docker swarm to host cluster and container scheduling, Docker compose to define multiple container applications.
• Experience with chef configuration management tool, responsible for managing chef client nodes and upload the cookbooks to chef server from the work station, Established Chef best practices approach to system deployment and managing Chef Cookbooks as a unit of software deployment and independently version controlled accordingly.
• Configured, Automated and Deployed Chef configuration management to existing infrastructure.
• Used Ansible and Ansible tower as configuration management tool, to automate repetitive tasks, quickly deploy critical applications and proactively manage changes.
• Implemented Python code using Ansible Python API to automate cloud deployment process, Developed Python modules for Ansible customizations.
• Used Ansible playbooks to setup continuous delivery pipeline. Deployed micro services, including provisioning AWS environments using Ansible playbooks, Used Ansible to document all infrastructures into version control.
• Worked on Monitoring systems Nagios, Splunk and repository nexus.
• Configured Jenkins to create Docker image for build and performed tests on a Docker container.
• Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform). Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploys.
• Managed development team of 6 members by sharing resources and assigning goals and tasks on daily and weekly basis and reporting to project manager on daily basis.
• Implemented Redis migration for higher optimization and better performance as well as scalability.
• Worked on memory optimization for faster query times and responses using Redis.
• Worked on Redis mass insertion while migrating.
• Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes.
• Developed micro service on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.
• Worked on AWS Kafka live stream module implementation with Kubernetes integration.
• Implemented a production ready, load balanced, highly available, fault tolerant, auto scaling Kubernetes AWS infrastructure and micro service container orchestration.

Environment: s: Jenkins, Cloud formation, AWS, Confluence, Cloud watch, Ansible, Docker, RDS, Apache Tomcat, Maven, Weblogic, Nexus, EC2, Git, Chef, SNS, Redis, Ansible, shell/Perl, Amazon VPC, Json, PostgreSql, Bash, bitbucket, Python, Pom.Xml, Linux, Windows.

Confidential, North Charleston, SC

DevOps Engineer

Responsibilities:

• Automated Continuous Integration builds and release infrastructure for customized advertising and merchandising site and web service.
• Created resource group which includes virtual machines, network interface, virtual networks, SubNets, load balancers, storage accounts, functions and SQL databases.
• Created CI/CD Pipelines in Azure DevOps environments by providing their dependencies and tasks.
• Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager.
• Setup GCP Firewall rules to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
• Created azure key - vault in order to store all the credentials for SQL databases and for API keys.
• Used Ansible to provision Azure services and managed those nodes.
• Implemented Ansible to manage all existing servers and automate the build/configuration of new servers. All server's types where fully defined in Ansible, so that a newly built server could be up and ready for production within 30 minutes OS installation.
• Configured Jenkins for Automated Build with Deployment Pipeline. Currently installed Ansible Server and to pick up the Build from repository and deploy in target environments (Integration, QA, and Production).
• Managed Azure instances with vRealize Operations Manager by building customized dashboards which give frequent updates on enterprise-grade metrics and intelligent alerts.
• Worked with automation tools which are pre-installed in azure DevOps portal to build the packages. The automation tools like ANT and MAVEN with build.xml and pom.xml scripting languages depending on the packages like java or python or .NET.
• Integrate structured and unstructured data from on-premises and cloud data sources, transform data in big data and data warehouse engines, then load your data marts into Azure SQL Data Warehouse.
• Expertise in DevOps team, CI (Continuous Integration and, deployment, also provide automated deployments of full application stack using Jenkins/Docker, Ongoing migration of mixed CVS/SVN SCMs over to GIT, done deployment of Docker containers for development, as well as manage by maintaining RHEL 6/ CentOS servers run on diversified DevOps systems.
• Experience on Kubernetes for creating 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.
• Designed, planned and implemented for existing On-Perm applications to Azure Cloud (ARM), Configured and deployed Azure Automation Scripts utilizing Azure stack (Compute, Web and Mobile, Blobs, ADF, Resource Groups, Azure Data Lake, HDInsight Clusters, Azure Data Factory, Azure SQL, Cloud Services and ARM), Services and Utilities focusing on Automation.
• Used Kubernetes for running/managing containers, images and container snapshots, while providing a platform for automating, deploying, scaling and operations of application containers across clusters of hosts.
• Solid experience in building Artifacts using various build tools like Ant, Maven and Gradle and store back to Nexus, JFROG and Artifactory, efficiently run environmental jobs by using provisioning tools like Docker and Vagrant. And, also have experience on Bitbucket server.
• Performed several execution processes such as monitoring using Grafana, ELK (Elasticsearch, Logstash and Kibana) stack, sent notifications using Nagios, used Kibana for visualizing data and navigate the Elastic Stack and leverage the Elastic Maps Service to visualize geospatial data.
• Proficient in DNS, DHCP and IP Addressing, and involved in their installation, configuration, maintenance and implementation of services like NFS, LDAP, Apache SMTP, SSH, HTTP and RPM management, for administrating Capacity Planning, Performance Analysis, Uptime and Response time analysis.
• Implemented writing scripts like Bash, Ruby, Perl, Python, Shell and PowerShell, also created test scripts in SOAP UI and Restful for Testing Web Services, and PowerShell scripts are created to automate common activities and test them.
• Moved database from on-premises and Azure cloud to a centralized data store in the cloud and monitored Copy Data activity in an Azure data pipeline.
• Automated various infrastructure activities like Continuous Deployment using Ansible playbooks and has Integrated Ansible with Jenkins on AZURE.
• Worked on Monitoring systems Nagios and Splunk and repository nexus.

Environment: s: Microsoft Azure, GCP, Jenkins, Cloud formation, Confluence, Cloud watch, Chef, Docker, RDS, Apache Tomcat, Maven, Nexus, GIT, SNS, SQS, shell, Perl, Amazon VPC, Json, PostgreSql, Bash, bitbucket, Python, Pom.Xml, Linux, Windows.

Confidential

DevOps Engineer

Responsibilities:

• Implementing CI/CD using Jenkins Pipeline using Docker - Jenkins Integration.
• Responsibilities include developing complex build, test, provision, secure and deployment systems and providing support to a large community of developers and tester.
• Worked on Branching and Merging, Resolving Branching Strategy maintaining Branching strategy using GIT.
• Writing basic plays for On-premise Server Management.
• Implementing Continuous Delivery pipeline with Docker & Swarm, Maven and Jenkins.
• Executing builds and troubleshooting builds, Interaction with development and QA teams.
• Created Ansible Playbooks for Push Button Deployments through Jenkins.
• Designed the application based on the architecture of theMVC designpattern.
• Project was developed followingAgileandScrummethodologies.
• Developed views for JSP pages usingAJAX
• Extensively usedHibernatein data access layer to access and update information in the database.
• Code development usingEclipse, HTML, JAVA, JSP, SWING, ServletandSQL.
• Requirement Analysis and Documentation as perSDLCmethodologies.
• Managed Server configuration through Ansible Playbooks.
• Implemented the setup for Master slave architecture to improve the Performance of Jenkins.
• Test cases reports & Code Coverage details.
• Managed package repositories like Jfrog, Artifactory and Sonatype Nexus.
• Good team player and also have ability to work independently in a time sensitive environment.
• Well organized, results oriented individual with proven ability to implement standards, procedures and processes that improve business functionality.
• Troubleshooting and performance tuning of various systems problems such as application, network and hardware related issues.
• Involved in Agile process, by-weekly Sprints and, daily Scrums to discuss the progress.
• Proven ability to work efficiently in both independent and team work environment. Energetic and perseverant self-starter.
• Working on AWS cloud to manage and configure EC2, S3, EBS, AMI, ELB, AUTOSCALING, VPC etc.