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Bhargav - Devops Engineer
[email protected]
Location: Baltimore, Maryland, USA
Relocation: Yes
Visa: OPT
Professional Summary
An AWS and Azure Certified Engineer with 8+ years of IT experience and expertise in Configuration Management,
Continuous Integration and Deployment (CI/CD), Containerization, monitoring, Linux, Network troubleshooting, Database, developing environments and implementing solutions in major cloud platforms like AWS, Azure and GCP
Exposed to SDLC methodologies such as Agile, Waterfall, scrum, Kanban and hybrid with ability to execute and manage multiple projects during time critical situations. Have automated these processes using CI/CD pipeline.
Skilled in various Amazon Web Services cloud services including EC2, EKS, VPC, ELB, Lambda, AWS Step Functions, Auto-Scaling, Security Groups, IAM, EBS, S3, SNS, SQS, Route53, CloudWatch, CloudFormation, CloudFront, CloudTrail, RDS, EMR, Redshift, build servers and deployed services using configuration management tools.
Worked on configuring Elastic Load Balancers with EC2 Auto Scaling groups, optimizing volumes, EC2 instances, creating VPC instances, creating snapshots and AMIs of instances for backup and creating clone instances.
Expertise in Azure Services AKS, Azure storage, IIS, Azure Active Directory (AAD), Azure Resource Manager, Blob Storage, Azure VMs, Azure Functions, Azure Service Fabric, Azure Monitor, Azure Service Bus, Azure DevOps.
Skilled in developing and Implementing Azure DevOps Including Deploying, Managing and Monitoring Azure Cloud Applications, implement DevOps cycles to reduce implementation time life cycles with increase of ROI, creating and deploying VMs on Azure, creating virtual networks and composed ARM templates for Azure cloud platform.
Involved in infrastructure as code (IaaS), execution plans, resource graph and change automation using Terraform
and managed cloud IaaS using Terraform and good experience with Azure Resource Manager and CloudFormation.
Experience with Terraform state files, locking, and backends for managing the state of infrastructure, Terraform's declarative syntax for defining IaC and version controlling the infrastructure using tools like Git, BitBucket and good Knowledge of Terraform's built-in functions and variables for defining dynamic infrastructure configurations.
Highly experienced with installing, executing, and working with Docker containerization tools and used Docker to run different software packages on containers to improve Continuous Integration and Delivery framework.
Exposed to various components of Docker like Docker Engine, Docker Swarm, Docker Hub and worked on creating images and pushed images to registry, and set up registry for handling multiple images for domain configurations.
Expertise in Kubernetes to automate the operations of application containers across clusters of hosts in different environments and also scheduled, deployed, and managed Kubernetes objects and controllers to cluster nodes.
Experience in creating and managing Azure Kubernetes service(AKS) and Elastic Kubernetes Services(EKS) to produce production-grade Kubernetes that allow enterprises to reliably make automated deployments using CI/CD in different environments like dev, test, prod & run containerized workloads across private & public clouds.
Experience in Kubernetes to deploy, scale, load balance and manage Docker containers with multiple name spaced versions and good understanding of OpenShift Platform in managing Docker Containers and Kubernetes Clusters.
Highly skilled with Ansible to automate the process of deploying/configuring/testing the new build in each environment (Dev/Test/Prod), setting up a new node, configuring machines/servers using Ansible playbooks.
Experienced in writing Ansible playbooks using YAML for provisioning virtual and physical instances, configuration management, patching and software deployment on cloud environments and to provision, configure infrastructure and used Ansible Control server to deploy playbooks to the target machines to reduce downtime.
Exposed to Knife commands in Chef to manage and configure nodes by creating Cookbooks, Chef Recipes, Chef attributes, Chef Templates and created cookbooks comprising all resources, templates, attributes by using Ruby.
Good knowledge in setting up installation, configuration, and security of CI/CD tools like ArgoCD, Jenkins, Cloudees, Github Actions, Azure DevOps for end - to - end automation for all builds and deployments.
Expertise in Jenkins to implement nightly builds to build and deploying of java code upon commit on daily basis and groovy scripts to use multi branch pipeline projects in Jenkins to configure as per requirements for CI/CD.
Expertise in designing, implementing, and managing the ELK stack, including Elasticsearch, Logstash, and Kibana with strong understanding of Elasticsearch cluster architecture, indexing, and search optimization to enable fast and accurate results and used Elasticsearch for Search and ELK stack for logging and monitoring of K8s clusters.
Expertise using build tools like Maven, Gradle and ANT for building of war & jar from source code. Experienced in authoring pom.xml files to manage dependencies and plugins to build project using various maven build lifecycles.
Scanned/Analyzed the builds by configuring SonarQube and Jacoco plugins to Jenkins and configured SonarQube
server to check the code coverage of code committed to GIT before it s built and to improve code quality..
Experience in handling central as well as distributed version control systems for branching, tagging and
maintaining versions using Source Code Management tools like Subversion, Git, GitHub, Bitbucket, Azure Repos.

Used Splunk, AppDynamics, Dynatrace, Nagios, CloudWatch, ELK Stack and configured Splunk to monitor applications deployed on server through analyzing the server log files and application, worked on alerts in Splunk.
Installation and Configuration of various servers like WebLogic, WebSphere, Application Server, IBM HTTP Server, Tomcat, Nginx maintenance and support of production and other environments deployed on various servers.
Proficient in Querying RDBMSs like Oracle, MySQL, SQL Server, DynamoDB, Redshift and NoSQL Databases MongoDB, Cassandra, Redis and Provided operational and application support to Oracle database and SQL server databases and have knowledge of snowflake database applications, Snowpipe, Snowflake Clone and Time Travel.
Extensive knowledge of writing Shell, Python, and bash scripting through the entire DevOps lifecycle to automate various DevOps tools like Configuration management, Continuous Integration/Deployment and Containerization.
Experience in using ticketing, bug tracking systems such as JIRA, Bugzilla, and code coverage tools like SonarQube, JaCoCo, OpenClover and integrated the project management features of JIRA with the build and release process.
Technical Skills

Cloud Platforms AWS, Azure, Google Cloud Platform
AWS Cloud Services IAM, VPC, EC2, S3, EBS, ELB, Route 53, SNS, CloudFront, SNS, ECS, EKS, Auto
Scaling (ASG), CloudWatch, CloudFormation, Elastic Beanstalk
Azure and GCP Services AKS, Azure App services, IIS, Azure AD, ARM, compute engine, cloud load
balancing, cloud storage, cloud SQL, Dataproc, BigQuery, GCS bucket
SCM/Version Control Tools GIT, GitHub, GitLab, SVN, Bitbucket, Subversion
Continuous Integration Tools Jenkins, Bamboo, Hudson, TeamCity, Github Actions, Azure DevOps
Build Tools Maven, ANT, Gradle
Configuration Management Tools Chef, Ansible, Puppet
Containerization Tools Docker, Docker Swarn, Kubernetes
Scripts/ Languages UNIX, HTML, bash, Ruby, YAML, Python, Perl, groovy, SQL.
Databases Oracle, SQL Server, PostgreSQL, MS SQL, MongoDB.
Networking Protocols TCP/IP, SSH, FTP, DHCP, SCP
Monitoring Tools Nagios, Splunk, CloudWatch, ELK, Prometheus, Grafana
Bug Tracking, code coverage Tools JIRA, Bugzilla, Remedy, SonarQube
Operating System UNIX, Linux (Ubuntu, RHEL 8.3, 8.6, 8.7, 9.0, Centos), Windows 8.1, 10, 11
Professional Experience
Description: Bose Corporation maintains website and mobile application to interact with all the Bose products. As a
DevOps/Cloud engineer, Responsible for automation, configuration and deployment of Cloud environments, Identifying and selecting services in hybrid Cloud Infrastructure. Worked extensively on setting up monitoring, design and implementation of Continuous Integration, Continuous Delivery, Continuous Deployment and DevOps processes. Responsibilities
Worked on storage, compute and networking services with implementation experience in data engineering using key AWS services such as VPC, EC2, S3, ELB, ASG, EBS, RDS, IAM, EFS, CloudFormation, Redshift, DynamoDB, Glue, Lambda, Step Functions, Route 53, CloudWatch, CloudFront, CloudTrail, SQS,SNS, AWS Systems Manager.
Designed highly available, cost effective and fault tolerant Kubernetes systems using AWS Beanstalk, Auto Scaling, Elastic Load Balance, AMIs and Glacier for Development, QA and Production environments. Also built customized Amazon Machine Images (AMIs) & deployed these customized images in production based on requirements.
Configured and managed Elastic Load Balancing (ELB) to implement fault tolerance and avoid single point failure of applications, thus providing high reliability and efficient usage, used Amazon Route53 to manage DNS zones and also give public DNS names to elastic load balancers IPs and AWS Beanstalk for deploying, scaling web applications.
Created and maintained the databases in AWS using RDS and worked in Technical Architecture Design and Capability Management, Involved in Configuring and Networking of Virtual Private Cloud(VPC), Subnets and SGs.
Defined AWS Security Groups and ACL s which acted as virtual firewalls that controlled traffic allowed to reach one more AWS EC2 Instances and configured VPN Tunnel for AWS VPC to communicate to corporate network.
Implemented and maintained network monitoring and troubleshooting using tools such as Amazon CloudWatch, CloudTrail and Created various CloudWatch alarms that sends an Amazon SNS message when the alarm triggers.
Deployed and optimized Java web applications to Azure CICD on Azure DevOps using services such as Repos to commit codes, Azure Artifactory to store builds, Test Plans to perform unit tests and worked on Azure (IaaS) by creating Azure Virtual Machines, storage accounts, VHDs, storage pools, migrating on-premises servers to Azure

Designed and configured Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, and security policies and routing and deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets for networking needs within the Application.
Established Identity and Access Management (IAM) and Access Life Cycle Management processes using SailPoint IdentityIQ software and tested Sailpoint Identity and Access Management (IAM) Integration connectors and workflows with Active Directory and downstream applications. Also worked on setting up RBAC roles.
Automated cloud infrastructure using Terraform and Jenkins for software and services configuration via Ansible playbooks and worked on Terraform for building, changing, and versioning of Infrastructure and wrote Templates for Azure infrastructure as a code using Terraform to build development, staging and production environments.
Created Kubernetes Clusters for Production environment, worked on creating nodes, pods, replication controllers,
replica sets, services, deployments, labels, health checks, ingress by writing Yaml files to manage these clusters.
Managed Kubernetes charts using Helm, created builds of the Kubernetes apps, templatize Kubernetes manifests, provide set of configuration parameters to customize the deployment and Managed releases of Helm packages
Automated creation of Docker images from successful Builds by Implementing the configuration of Ansible to trigger Jenkins pipeline and later used for rolling deployments into Kubernetes Cluster by defining new images.
Involved in development of test environments on Docker containers and configuring the Docker containers using
Kubernetes and scheduled, deployed, and managed container replicas onto a node cluster using Kubernetes.
Used Ansible as configuration management tool to automate various infrastructure activities like CD, Application Server setup, stack monitoring using Ansible playbooks and Groovy for resource declaration, creating roles and updating Playbooks to provision and configure servers by using Ansible and Integrated Ansible with Jenkins.
Managed and Automated Kubernetes according to demand using terraform as infrastructure as tool and integrated it with Jenkins, Managed new applications deployments using Helm, automated these deployments using Ansible.
Ran Ansible playbooks and created various roles for applications, deployed Applications/Services on hosts and created Ansible manifest files to install tomcat instances and to manage configuration files for multiple apps.
Collaborated with development and operations teams to identify integration requirements and ensure that the
Jenkins pipeline met those requirements by designing and implementing automated pipelines using Jenkins.
Wrote Groovy Scripts for Continuous Integration, Used Jenkins for uploading Artifacts into Nexus Repository and deployed those artifacts into docker containers and Wrote Ansible playbooks and applied them to target machines to deploy the configurations on the Linux servers in cloud and automated the cloud deployments using Ansible.
Installed, configured and administered Jenkins CI tool on Linux machines, used Jenkins pipelines into Microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
Establish High Availability centralized logging and monitoring infrastructure using ElasticSearch, Fluentd and Kibana. Implemented centralized Auditd logs by deploying Auditd prometheus exporter into Kubernetes cluster and have created Grafana dashboards to visualize the metrics collected by Prometheus exporter and setup alerts.
Created Grafana Dashboards to visualize CloudFront metrics from scrape job created to scrape app service logs from prometheus CloudWatch exporter and created alerts in prometheus which trigger upon crossing threshold.
Responsible for deploying and managing new ELK clusters Elasticsearch, logstash, Kibana, beats, Kafka, zookeeper etc. while using Elasticsearch for Search and using ELK stack for logging and monitoring our systems using Beats.
Wrote Python scripts for pushing data from MySQL database and created the python deployment scripts for Tomcat web app server, created python scripts which integrates with Amazon API to control instance operations
Worked on build deployment, build scripts and automated solutions using scripting languages such as Shell, Perl, Python and Scripted in Groovy to automate and collection analysis of various DevOps tools including Jenkins.
Deployed and configured JIRA, both hosted and local instances for issue tracking, workflow collaboration, and
tool-chain automation and Used Kafka to collect Website activity and Stream processing of applications.
Environment: Azure, AWS, Terraform, Docker, Kubernetes, Ansible, ELK Stack, Azure CICD, Jenkins, Prometheus, Grafana, Git, GitHub, Maven, SonarQube, Nexus, Windows, Linux, Apache Tomcat, Bash, Python, Shell, Pearl, Jira


Description: XPO logistics (GXO) is a logistics company mainly into trucking. Company maintains a website with all the services offered. As a DevOps/Cloud engineer, created and automated infrastructure for environments, build and maintain cloud infrastructure using cloud resources and migrated the On-Premise web servers to the cloud, developed CI/CD pipeline and setup monitoring tools using various DevOps tools.
Responsibilities

Managed Azure Infrastructure including virtual networks, storage, compute, security and worked with Azure App Service, Azure Virtual Networks, AKS, Azure Networking, Azure Load Balancers, Azure Private Link Service and Private Endpoint, Virtual Machines, Azure Functions, Azure CICD, Azure Container Registry, Azure AD, Azure CLI.
Responsible for implementing microservice based applications on Azure Kubernetes by using Azure Kubernetes service (AKS), Kubernetes Cluster, which are responsible for cluster management, Virtual Network to deploy agent nodes, Ingress API Gateway, MySQL Databases and Apache Cassandra for stateless storage of external data.
Developed continuous integration(CI), deployment(CD) by creating pipelines that automated builds, deployments and tests upon code push and code merge to numerous environments using Azure CICD on Azure DevOps project. Also configured Azure Security using RBAC, Azure Security Center, Golden AMI policy and Azure Monitor services.
Expertise in Azure Scalability and Azure Availability - Build VMs availability sets using the Azure portal to provide resiliency for IaaS based solution and Virtual Machine Scale Sets using Azure Resource Manager to manage network traffic. Enabled Azure Virtual machine backup from Vault and configured Azure Site Recovery (ASR).
Worked on deploying and managing Kubernetes clusters on AWS using EKS, created, configured, and scaled EKS clusters with Kubernetes API objects. Also configured VPCs, subnets, security groups, and load balancers and implemented EKS security best practices, including IAM roles, policies, and encryption at rest and in transit.
Have worked on designing and configuring secure Virtual Private Cloud (VPC) through private and public networks in different AZs in AWS by creating various subnets, routing table, Network ACL, NAT gateways, SecurityGroups, rules and have used Amazon Route53 to manage DNS zones and give public DNS names to ELB.
Created terraform modules to create all types of AWS services which can be re-used in all circumstances, custom sized VPC, Subnets, NAT to ensure successful deployment of Web applications and database templates and worked on secure VPC Solutions in AWS using Network ACLs, Security groups, public and private network configurations.
Written Terraform templates, Ansible Playbooks pushed them onto Ansible for configuring EC2 Instances and Solved Gateway time issue on ELB and moved all logs to S3 Bucket by using Terraform to automate infrastructure.
Implemented a production ready, load balanced, highly available, fault tolerant, auto scaling Kubernetes Infrastructure and Microservice Container Orchestration from development through production using Kubernetes by containerizing applications using its nodes, Config Maps, Services and deployed application containers as Pods.
Worked on Proof Of Concept to deploy on Kubernetes clusters and managed Kubernetes charts using Helm and created builds of the Kubernetes applications, managed Kubernetes manifest files & releases of Helm packages
Used Kubernetes charts, Helm to create reproducible builds of the Kubernetes applications, managed Kubernetes
manifest files & releases of Helm packages and used Kubernetes for orchestration of Docker containers.
Deployed Prometheus with Grafana to monitor Kubernetes cluster and configured alerts. Also Integrated EFK (Elasticsearch Cluster, Fluentd, Kibana) stack as the logging solution for the deployed kubernetes cluster.
Implemented cloud-based integrations with Elasticsearch, and configured Logstash input, filter, and output plugins, including databases and Elasticsearch, processing search indexes with large amounts of data.
Designed and implemented Ansible playbooks and roles to automate deployment and configuration of web applications, servers, databases and created custom modules in Python to extend Ansible functionality
Managed inventory of servers and network devices using Ansible's dynamic inventory feature and custom scripts, thereby managing container orchestration tools such as Docker and Kubernetes to deploy, manage containerized applications using Ansible and used Ansible to automate provisioning and management of cloud infrastructure.
Created clusters in AWS Cloud and managed the clusters using Kubernetes(k8s) using Jenkins to deploy code to
AWS Cloud, create new namespaces, creating docker images and pushing them to the container registry.
Managed weekly build, test and deploy chain using Jenkins, Integrated Jenkins with BitBucket for Dev,Test and Prod branching models for weekly releases and implemented continuous build based on check-in for applications and created BitBucket triggers for commit, push, merge and pull request events for automated builds.
Developed Jenkins jobs and pipelines that contained Bash shell scripts utilizing AWS CLI to automate infrastructure provisioning while Implementing CI/CD framework using Jenkins, Maven, Nexus in Linux environment.
Coordinated with developers to establishing and applying appropriate branching, labeling/naming conventions using BitBucket source control, analyzed and resolved conflicts related to merging of source code for BitBucket.
Created and Monitored service availability through AppDynamics by Deploying AppDynamics for mission critical applications and alert configuration in AppDynamics to trigger when a particular Service or Server unavailability.
Used AppDynamics to capture thread snapshots and CPU samples to study the application behavior under load and to uncover any CPU intensive method calls along with waiting or blocked thread and established Health rules to gather the health status of an entity by defining levels of performance based on metrics in AppDynamics.
Installed, configured, maintained, and administrated the network servers DNS, NIS, NFS, Sendmail and application server Apache Tomcat, WebSphere, JBOSS, WebLogic, Oracle E-business suite, and Samba on Linux.
Expertise in build deployment, build scripts and automated solutions using scripting languages such as Shell, Perl, Python and Scripted in Groovy to automate and collection analysis of Cassandra.

Installation, configuration and monitoring of servers, databases by Oracle Enterprise Manager and Wrote Oracle Stored Procedures, Functions, Triggers using optimizing techniques to reduce load on database.
Used build tools like MAVEN and ANT for the building of artifacts such as war & jar from source code and wrote
pom.xml files to manage dependencies and plugins to build a project using various maven build lifecycles.
Expertise in automating post-build integration including Code Coverage & Quality Analysis Tools like JUnit, SONAR, find bugs, CodeClimate and Check style and Implemented SonarQube integration with Jenkins.
Environment: AWS, Azure, ELK Stack, Terraform, Docker, Kubernetes, GIT, GitHub, Linux, Bash, Python, Maven, SonarQube, Nexus, Jenkins, Ansible, Apache Tomcat, Prometheus, Grafana, VMware, Windows, Shell, Jira etc.


Implemented GCP services like compute engine, cloud load balancing, cloud storage, Persistent Disk, Cloud
Filestore, Cloud Bigtable, Datastore, cloud SQL, stack driver etc. and Maintained the user accounts ( IAM ), Cloud SQL , Cloud DNS , VPC , RDB , Cloud Datastore, Cloud Bigtable, Cloud Pub/Sub etc. services in GCP
Setup GCP Firewall rules to allow or deny traffic to and from the VM's instances based on configuration and used GCP cloud CDN to deliver content from GCP cache locations, drastically improving latency, and troubleshooting Linux Systems identifying Hardware, software (both OS and Application level), and networking Issues
Worked on GKE Topology Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers GKE Diagram, automated the build and deployment process using Jenkins while integrating tools like Maven, Jfrog, Terraform.
Created Dockerfile for building Docker Images, script to build and push Docker images in Docker Hub, Docker-compose.yaml file templates to deploy images in Docker containers managed by Kubernetes
Created and managed a Docker deployment pipeline for custom application images in the cloud using Jenkins, also used Docker containers for eliminating a source of friction between development and operations.
Worked on Jenkins file with multiple stages like checkout a branch, building the application, testing, pushing the image into GCR, deploying to QA, Acceptance testing, saving build artifacts to Jfrog and finally Deploying.
Configured applications that run multi-container Docker by using Docker-Compose using YAML script and used
Kubernetes to manage containerized applications using its node, Config Maps, selector
Experience in managing Ansible Playbooks with Ansible roles, used file module in playbook to manage files on remote systems and created inventory in Ansible for automating the continuous deployment.
Implemented and designed Google-cloud virtual servers by Ansible roles to ensure deployment of web apps, used file module in Ansible to edit files on remote systems and used Ansible Tower for running playbook streams.
Creating templates and jobs in the Ansible tower required for the deployment of java applications to the servers in different environments (Dev, QA, Stage and Production) and automate them for the periodic releases.
Deployed and monitored scalable infrastructure on AWS & configuration management using Ansible, also worked on Installation and configure Mongo DB Cluster nodes on different AWS EC2 instances.
Configured Jenkins, used as a Continuous Integration (CI) tool for Installing and configuring Jenkins Master and different build slaves and Automatized Java application builds using with Maven.
Created a Continuous Delivery (CD) framework using Jenkins, Maven in multiple environments and coordinated developers with establishing and applying appropriate branching, naming conventions using GIT SCM.
Installed, Configured, Managed Monitoring Tools such as Splunk, Nagios and forwarded system stats to Splunk indexer, also centralized monitoring and logging for the systems that are running on cloud(s) and on-premise, using tools such as Nagios and Splunk and Installed monitoring tools Nagios and Splunk.
Integrated AWS CloudWatch to Splunk using a Lambda function to automatically create the triggers and generate the alerts for monitoring metrics and managed the creation of Users, Groups, Hosts, Items, and Triggers to Splunk.
Maintained applications installed on Servers like IBM HTTP Server, Tomcat on AIX, Solaris, Linux, Tomcat, JBOSS, WebLogic, SOLR and WebSphere Application by configuring installing these servers for deployments.
Created programmatic CRUD operations using JDBC, pyodbc and ORM tool like hibernate for the various databases like Postgres, Oracle, Mongo, MS SQL, etc. and used Camel and Kafka between APIs.
Responsible for writing, executing shell scripts, build scripts and automated solutions using scripting languages such as Groovy, Perl, Python, JSON, Ansible etc. to configure various DevOps tools.
Implemented open-source Testing tools like NodeJS, Protractor, Selenium Web driver and Source Tree and worked on SonarQube and created custom code quality rules using XPATH query for PLSQL scripts.
Environment: GCP, Azure, Terraform, Docker, Kubernetes, GIT, GitHub, Maven, SonarQube, Nexus, Jenkins, Ansible, Apache Tomcat, Prometheus, Grafana, VMware, Windows, Shell, Jira, Linux, Bash, Python etc.


Implemented auto environment creation using Ansible and AWS, Managed Amazon EC2 instances with Ansible
Automation of AWS infrastructure to initialize these resources in inventory management system via Chef.
Designed and created roles and groups for users and resources using AWS Identity Access Management (IAM)
Used Kubernetes for cluster management that runs Docker containerized applications in a cluster of EC2 instances
Configured Management policies with regards to SDLC; with automation of scripting using Shell, Perl scripting.
Strong experience with ANT, developed build and deployment scripts using ANT in Bamboo and used it for automating Builds and Automating Deployments and moved from one environment to other environments.
Involved in using Terraform and wrote many modules and templates to migrate legacy and monolithic systems to
Amazon Web Services and Setting up the build and deployment automation for Terraform scripts using Jenkins.
Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack monitoring, node configuration using Puppet and has Integrated Puppet with Jenkins.
Implemented zero downtime deployment process in WebLogic using python and shell script and automated it using Jenkins and Involved in setting up Bugzilla as defect tracking system
Environment: AWS, Terraform, Docker, Kubernetes, GIT, GitHub, Linux, Bash, Python, Jenkins, Ansible, Apache Tomcat, Windows, Shell, Jira etc.


Implemented Jenkins pipelines into Azure pipelines to drive all micro services builds out to the Docker registry
Experienced in Testing/Development/Automation in a DevOps role on an Agile project team for the API Gateway.
Developed and implemented Software Release Management strategies for various applications using Agile process.
Extensively worked with version control systems like Git. Developed build and Deployment Scripts using ANT.
Configured Jenkins to implement CI process and integrated the tool with Ant and Maven to schedule the builds.
Installation and configuration of CoreOS, Apache, My SQL DB, Tomcat server engines, RedHat Cluster Suite.
Created DNS for IP routes, Email Routing, SSH connections, File transfer protocols (FTP), (HTTP/HTTPS).
Did physical server to Virtual server migration P2V of Linux servers to VMware ESX frames ad Virtual Machines.
Deployed and maintained Puppet role-based application servers, including Apache Tomcat.
Worked in authoring pom.xml files, performed releases with Maven release plugin, managed artifacts in NEXUS. Environment: Azure, Docker, GIT, GitHub, Jenkins, Ansible, Grafana, VMware, Windows, Shell, Jira, Linux, Python.

Managed IAM roles, policy, security groups and network configuration in AWS for deployed app in AWS EC2.
Installation and administration of Linux based operating systems like RHEL 6.0 and SUSE 10.x.
Support Apache web app and configuration, troubleshooting with script for modules on all the testing servers.
Experienced in installation as well as creating master and slave nodes to implement simultaneous builds in Linux
Experience in Linux and using Shell, Perl, Python scripting to automate processes, worked on RPM package manager to install, update, verify, query and erase software packages on Linux Servers.
Shared files between Linux boxes and windows using the WinSCP, a secure FTP, SCP client for Microsoft Windows.
Used Nagios to monitor the day to day performance and maintenance operations throughout the client s network.
Responsible for configuring and connecting to SSH through SSH clients like Putty and Cyber duck. Environment: AWS, GIT, GitHub, Linux, Bash, Python, Apache Tomcat, VMware, Windows, Shell, Jira etc.
Keywords: continuous integration continuous deployment quality analyst sthree database active directory information technology microsoft

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