SUMMARY

• Around 8+ years of hands - on involvement in IT industry, prioritizing Automation, CI / CD Software Configuration Management (SCM), Security, Cloud Resource Utilization, environment setup etc.
• Expertise in creating DevOps strategy by implementing CI/CD of code with tools like Version controls, Jenkins, Maven etc. and Config Mgmt tools like Chef, Ansible & Puppet.
• Strong experience on DevOps concepts like Build Automation, Continuous Integration (CI), Continuous Deployment (CD), Infrastructure as code technologies, Cloud computing.
• Experience with various AWS services like EC2, S3, ELB, Glacier, VPC, RDS and Cloud Watch, elastics IP, security groups and cloud formation.
• Worked on AWS Cloud Formation Templates (CFT) and SRE to create custom-sized VPC, Subnets, EC2 instances, ELB and Security groups.
• Good experience in utilizing GIT, GitHub furthermore to have organization learning to bolster employee and GitHub clients.
• Good understanding of Pivotal cloud foundry (PCF) Architecture (Diego Architecture), PCF components and their functionalities. Experienced in using Pivotal Cloud Foundry (PCF) CLI for deploying applications and other CF management activities.
• Application Deployment and environment configuration using Chef, Puppet and Ansible.
• Configure Docker containers and creating Docker files for different environments
• Expertise in automation tools like Git, Ant, Maven, and Jenkins, Chef, Puppet, PowerShell, Ansible, Nagios, and Docker
• Experienced in build tools such as Apache Ant, Maven, Atlassian, Bamboo, Cruise Control.
• Experience in developing application in PowerApps using Common Data Service CDS, SQL, Flow, Excel and SharePoint.
• Expertise in using DAX and generated dashboards & reports and integrating with PowerApps.
• Managing ongoing updates and configuration changes to AWS environments using deployment. Automation tools such as Jenkins alongside chef and terraform
• Proficient in Maintaining Enterprise Nexus code repository and SonarQube Code Quality management, regularly monitoring the quality gate of Enterprise applications using SonarQube.
• Experience in integrating code quality tools such as SonarQube, JaCoCo, Veracode in CI/CD pipelines.
• Worked on Terraform, Packer, and Chef to provision and maintain thousands of EC2 instances running popular services such as Kubernetes, Kafka, Vault, Elasticsearch, etc.
• Experience in Setting up the build and deployment automation for Terraform scripts using Jenkins.
• Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.
• Worked on Google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager
• Experience in Working with Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications and well versed with Ansible Playbooks, modules, and roles.
• Experience in working with Microsoft Azure platform for support delivery, solved complex billing and technical issues
• Experience with Linux Administration, Application Build and Release Management, Cloud Infrastructure management, Software Configuration Management.
• Expert in Implementing a production ready, highly available, fault tolerant Kubernetes infrastructure. Working on Scheduling, deploying and managing container replicas on a node cluster using Kubernetes.
• Hands-on experience inAzureCloud Services (PaaS & IaaS), Storage, Web Apps, Active Directory, Application Insights, Logic Apps, Data Factory, Service Bus, Traffic Manager,AzureMonitoring, OMS, Key Vault, Visual Studio Online (VSO), Cognitive Services (LUIS)and, SQLAzure.
• Experience on different kinds of application servers and web tiers including Apache tomcat, JBoss, IBM WebSphere.
• Monitoring Splunk infrastructure (identify bad searches, dashboards and overall health of Splunk) and collaborate with respective teams to improve performance
• Experience with MongoDB, MSSQL, MySQL and Server DB Tasks.
• Installed, configured and managed the ELK (Elastic Search, Log stash and Kibana) for Log management within EC2 / Elastic Load balancer for Elastic Search.

TECHNICAL SKILLS

Core Technical Skills: Amazon Web Services, GCP and DevOps Tools

Containerization: Docker, Kubernetes

Configuration Mgmt.: Ansible, Puppet, Chef

CI Tools: Jenkins, Azure DevOps

Repository: Artifactory, Nexus, JFrog

Version Control Tools: Git, SVN, GitHub, GitLab, Bitbucket, TFS

Operating Systems: MS Windows (Server 2003, 2008,2012R2, 2016, 2019) and Linux

Server Hardware: HP ProLiant BL460c Gen8, Gen 6, Gen7 & ProLiant DL360 Gen 9, IBM HX Series.

Storage Devices: Hitachi G1000, & NetApp FAS 3600

Patch Management: WSUS, SCCM 2012 R2

Web Servers: Apache, JBOSS, Webserver and IIS

Database Tools: SQL, Oracle 12c, RDS, DynamoDB, AWS Redshift

Scripting Languages: Python, shell, Bash scripting, PowerShell

Ticketing Tools: Service Now, JIRA

Anti-Virus Console: Symantec Endpoint Protection Manager 12.1.7, McAfee Virus Scan Enterprise

Back Up Tools: IBM TSM, Time Navigator (Tina), NetBackup (NBU)

Monitoring Tools and Other: Nagios, HPIM, Tivoli, AWS CloudWatch and Elastic Search Terraform

PROFESSIONAL EXPERIENCE

Confidential, NJ

Senior Cloud Engineer

Responsibilities:

• Good understanding ofPivotal cloud foundry (PCF)Architecture (Diego Architecture), PCF components and their functionalities. Experienced in using Pivotal Cloud Foundry (PCF) CLI for deploying applications and other CF management activities.
• Implemented Micro-services usingPCFplatform build upon Spring Boot Services. Managed the lifecycle of containers and processes running usingDiegocell rep. Worked onPCF Devto push and scale apps for debugging applications locally on aPCFdeployment.
• Worked on developing APIs using Kubernetes to manage and specify the copies of the containers to run the actual servers in the cloud environment.
• Written the AnsibleYAML scripts to configure the remote servers.
• Ensured successful architecture and deployment of enterprise-gradePaaSsolutions usingPivotal Cloud Foundry(PCF)/ SRE as well as proper operation during initial application migration and set new development
• Integrated Jenkins, Run deck and Ansible. Designed and developed Jenkins Build deployments
• Involved in creation of Architecture and built Minimum Viable product (MVP) for containerization platform using Docker and Kubernetes.
• Experience in microservices deployment with Jenkin pipeline including build process, GitHub repo for PCF.
• Creating and Managing the AWS & GCP Cloud Infrastructures.
• Launching the Infrastructure using the code and Managing Users and Groups using IAM.
• Securing Infrastructure using Firewalls, SG, IAM Policies and NACLs.
• Created stored procedures to import data in to Elasticsearch engine.
• CreatedPowerAppsforms to implement mobile compatible list forms.
• Scheduled, deployed and managed container replicas onto a node cluster using Kubernetes.
• Worked with the configuration team to configure Splunk for PCF deployed micro-services and monitoring dashboard.
• Deploying and maintaining production environment using AWS EC2 instances and ECS with Docker.
• Created nightly builds with integration to code quality tools such as SonarQube, Veracode.
• Designed and Developed Bamboo Build deployments on Docker containers.
• Experience on rollback mechanism for PCF deployment and configure ongoing traffic with PCF Auto scaling, managing scaling up and scaling down
• Work with AWS Cloud management and Ansible Automation.
• Build dynaTrace dashboards and reports and help teams to build their own dashboards.
• Help app teams to troubleshoot problems using dynaTrace.
• Wrote Docker images for Bamboo & Nexus.
• Developed multi-screenPowerAppsforms and used Power Automate for the approval process and notifications.
• Plan, coordinate, and implement security measures to protect data collected by dynaTrace.
• Develop new and enhance dynaTrace plugins to meet specific requirements of app teams.
• Automated the dynaTrace upgrade, agent installation and configuration.
• SPLUNK scalability, capacity planning, distributed setup, Search Head Clustering, Index Clustering, and performance specifications
• Spearheaded the integration of a Front End Web Portal with BMC Remedy to automate the intake process with functionality that lowered risk, improve data quality, and reduced the CRQ (Change Request) completion time by 25%
• Hands on experience in customizing Splunk dashboards, visualizations, configurations using customized Splunk queries.
• Implemented Monitoring solution for Kubernetes using Prometheus, Grafana & ELK.
• Implemented deployment framework for applications deployed in Kubernetes& implemented Istio for ServiceMesh.
• Involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services.
• Setting up the build and deployment automation for Terraform scripts using Jenkins.
• Provisioned the highly available EC2 Instances using Terraform and Ansible Playbooks.
• Developedgroovy scriptsto usemulti branch pipeline projects in Jenkinsto configure it as per client’s requirement.
• Wrote python, Groovy and shell Scripts to automate the build process and administration jobs.
• Automated CI/CD (Automation Build and Development) integration system between Chef, Bitbucket and Jenkins.
• Experience in Deploying and administering in the use of Tomcat and Web Logic
• Created Chef Recipes, automation tools and builds, and did an overall process improvement to any manual processes. Wrote multiple cookbooks in Chef.
• Worked on blue green deployments. Deployed for the applications.
• Experience in dynatrace on boarded the applications and created the dashboards and also helped the dev team creating the Dynatrace alerts for the applications.
• On boarded the applications to Splunk and created the dashboards and helped the dev team with the alerts.
• Developed a cloud inventory service, "Sanity," that aggregated data from the AWS, Kubernetes, Chef, Kafka, and similar APIs into a unified database allowing complex questions to be answered with single PostgreSQL queries.
• Implemented self-healing for our Kafka infrastructure, permitting M of N brokers to be automatically restored to full functionality with no human intervention.
• Worked on integrating Xmatters with Dynatrace
• Integrated the HAshi corp vault with Jenkins for storing credentials.

Environment: PCF, Dynatrace, Splunk, Bitbucket, CI/CD, Bamboo, Kafka, Elasticsearch, PostgreSQL, SonarQube, Terraform, tomcat, Java, checkmarx, web services, API and Ui, Chef, AWS (Amazon web services):EC2, VPC, IAM, S3, Cloud Front,SRE, Cloud Watch, Cloud Formation, Glacier, RDS Config, Route 53, SNS, SQS, Terrafam, PUPPET, Jenkins, DB2, Linux, Win X, Docker, Kubernetes, SVN, ANT, Jenkins, Red Hat Linux, Apache Tomcat.

Confidential, TX

Azure DevOps Engineer /SRE

Responsibilities:

• Expertise in AWS Resources like EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Formation, Cloud Watch, Security Groups, Lambda, ECS, SRE etc
• Experience in creating Jenkins CI/CD pipelines and good experience in automating deployment pipelines.
• Creating the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system for all our products.
• Developed build and deploy scripts using Groovy, Python and UNIX for various products to be hosted on Application Servers.
• Set up CI/CD pipelines for Microservices and integrated tools such as Maven, Bitbucket, SonarQube, Nexus, Docker, Slack for providing immediate feedback to DEV teams after code check-in.
• Worked with Atlassian tools like Bamboo & Jira
• Worked with various PCF components like OAuth2 server, login server to provide identity management & Cloud Controller to configure deployment of applications. Worked with Blob store for storing and managing Application code packages, Build packs.
• Implemented a Continuous Integration and Continuous Deployment (CI/CD) pipeline with Docker, Jenkins, GitHub, and Maven.
• Create a SPLUNK search processing Language (SPL) queries, reports and dashboards.
• Managed multiple cookbooks in Chef and Implemented environments, roles, and templates in Chef for better environment management.
• Install,configure, test, monitor, upgrade, andtune new and existingPostgreSQL databases.
• Worked on creation and managing IT infrastructure and application stack using AWS Cloud Formation and writing the template file using JSON.
• Developed the metrics delivery system used both by infrastructure and every application at Uptake, processing up to hundreds of thousands of points per second during peak volume through Kafka and into partitioned InfluxDB instances.
• Providing Global Search with Elasticsearch.
• Implemented cloud-based integrations with elastic.
• UsedPowerAppscanvas approach to rebuild existing web based LMS tool.
• Integrated third-party tools withPowerApps/Power AutomateusingRest API.
• Developed bamboo Plans for Maven builds, creating them on bamboo and running them.
• Working experience of deployment of Java applications through Web Logic/WebSphere Application servers. And build tools like Gradle.
• Automated the continuous integration and deployments using Jenkins, Docker, Ansible and AWS Cloud Formation Templates.
• Automating Veracode, Fortify and White Source submissions with build and release pipelines using their respective APIs and their integration with build servers. Also including SonarQube scans as part of CI builds.
• Strong use of various scripting languages like Groovy, Shell (Bash), JSON, YAML, Ruby and Python.
• Scheduled, deployed and managed container replicas onto a node cluster using Kubernetes.
• Implemented and improved process for release management, automated code deployment, configuration management, and monitoring.
• Created and implemented Chef Cookbooks for deployment. And used Chef Recipes to create a Deployment directly into Amazon EC2 instances.
• Use EC2 Container Service (ECS) to support Docker containers to easily run applications on a managed cluster of Amazon EC2 instances.
• Worked on creating the Docker containers and Docker consoles for managing the application life cycle.
• Deep expertise in the AWS components & APIs Expert working knowledge of Operating. Advanced knowledge of databases (SQL Server and MySQL) and Advanced knowledge of relevant web services, mail, backup, and application monitoring
• Deployed LAMP based applications in AWS environment, including provisioning MYSQL- RDS and establishes connectivity between EC2 instance and MySQL-RDS via security groups.
• Configured Elastic Load Balancers with EC2 Auto scaling groups.
• AWS Code Pipeline to design and implement a Continuous Integration and fully managed continuous Delivery services that helps to automate the release pipelines on AWS.
• Configuring of Virtual Private Cloud (VPC) with networking of subnets containing servers.
• Having Access VPC, Subnet, Security Group and EC2 AWS describe API and Cloud Formation to create spreadsheets, MySQL & Postgres Database entries.
• Proposed, Implemented and maintained New Branching strategies for development teams to support trunk, development baseline codes along with several feature branches.
• Responsible for defining branching & merging strategy, check-in policies, improving code quality, automated Gated Check-ins, defining backup and archival plans.
• Scripted Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python. Run Ansible Scripts to provision Dev servers.
• Written Ansible Playbooks, which is an entry point for Server Provisioning, where the automation identified through the tasks using YAML format.
• Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.
• Developed Dev/Test/Prod environments of different applications on AWS by provisioning Kubernetes clusters on EC2 instances using Docker, Bash, Chef, and Terraform.
• Experience on working with on-premises network, application, server monitoring tools like Nagios, Splunk and on AWS with Cloud Watch monitoring tool.

Environment: AWS EC-2, VPC, Auto-Scaling, ELB, ELK, Splunk, SonarQube, Elasticsearch, Shell Scripts, Bamboo, ANSIBLE, Java, Python, Postgresql, Maven, Chef, Jenkins, Kafka, Docker, Nginx, Nagios, GIT, Agile, Kubernetes, Chef, and Terraform.

Confidential, Troy, MI

DevOps Azure Engineer

Responsibilities:

• Worked on AWS and related services like EBS, RDS, ELB, Route53, S3, EC2, AMI, IAM through AWS console
• Expertise in developing templates for AWS infrastructure as a code using Terraform to build staging and production environments.
• Experienced in building AWS S3 buckets and managed policies and used S3 bucket and Glacier for storage and backup
• Configured Veracode scan in the VSTS pipeline for vulnerability scanning to check teh health of code and specially to find any security issues in the code.
• Managed AWS infrastructure as code using Terraform.
• Createdalarmsand trigger points inCloudWatchbased on thresholds and monitored the server's performance, CPU Utilization, disk usage and Utilized AWSCloudWatchservices to monitor environment for operational & performance metrics during load testing.
• Used Terraform scripts to Automate Instances for Manual Instances that were launched before.
• Implemented and maintained the branching and build/release strategies utilizing Subversion/GIT. Manage configuration of Web App and Deploy to AWS cloud server through Chef.
• Used Chef to manage web applications, configure files, database, users and packages. Developed Chef Recipes using Ruby framework to configure, deploy and maintain software components of the existing infrastructure.
• Setting up SPLUNK monitoring on Linux and windows systems.
• Installation and configuration of bamboo, Installation and configuration of Jira/Confluence
• Managed local deployments in Kubernetes, creating local cluster and deploying application containers.
• Administered cookbook source code repos for deployment cookbooks and implementing chef spec frameworks to make out cookbook issues at initial stages of authoring the recipes.
• Created Ansible playbooks to automatically install packages from a repository, to change the configuration of remotely configured machines and to deploy new builds.
• Docker has been core to this experience, along with Kubernetes
• Used Jenkins for CI/Automation tool for Continuous Integration. Configured master and slaves to run various builds on different machines and used GIT as a Source Code manager, Maven and Gradle as a Build Tool.
• Extensively used Java Collection framework and Exception hand
• Created quality gates in SonarQube dashboard and enforced in the pipelines to fail the builds when conditions not met.
• Using Bash and Python included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs.
• Implementing, maintaining and enhancing build processes using Maven, Ant, ApacheIvy, Gradle, Groovy, MSbuild, NANT and Nexus
• Used Splunk to centralize and analyze logs, Nagios is used for infrastructure and services monitoring and as an alerting solution..
• Integrated GitLab into Jenkins to automate the code checkout process.
• Used Kubernetes to deploy scale, load balance, and worked on Docker Engine, Docker HUB, and Docker Images and Docker Compose for handling images for installations and domain configurations.
• Used Docker to virtualized deployment containers and push the code to EC2 cloud using PCF. Built additional Docker Slave nodes for Jenkins using custom built Docker images and instances.

Environment: AWS EC-2, Route 53, S3, VPC, Auto-Scaling, ELB, Splunk, Terraform, ELK, Shell Scripts, ANSIBLE, Unix/ Linux environment, Java, Python, Maven, Nexus, Chef, Jenkins, Docker, Nginx, Nagios, GIT, Agile, CloudWatch.

Confidential

DevOps / Software Developer

Responsibilities:

• Managing Amazon Web Services (AWS) infrastructure with automation and configuration management tools such as Chef, Puppet, or custom-built designing cloud-hosted solutions, specific AWS product suite experience.
• Used Amazon Web Services (AWS) to create new instances, checking the security group settings, adding and deleting the elastic IPs for the needed servers, applying the inbound IP addresses as needed.
• Configured various jobs in Jenkins & Hudson for deployment of Java based applications and running test suites.
• Used Jenkins for Continuous Integration and deployment into Tomcat Application Server.
• Configured and maintained Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds.
• Developed build and deployment scripts using Ant and Maven as build tools in Jenkins to move into different environments and created new jobs and branches through Jenkins.
• Implemented Continuous Integration and Continuous Deployment using Jenkins, ANT, Maven, Nexus and Ansible.
• Used Terraformscripts to Automate Instances for Manual Instances that were launched before.
• Automated configuration management and deployments using Ansible playbooks.
• Used Ansible as Configuration management tool to automate repetitive tasks, quickly deploys critical applications, proactively manages change and well versed with Ansible Playbooks, modules, and roles.
• Extensively worked on creating Docker files, building the images, running Docker containers and managing Dockerized applications by using Docker Cloud.
• Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform.
• Extensively used Java Collection framework and Exception handling.
• Worked in DevOps group running Jenkins in a Docker container with EC2 slaves in Amazon AWS cloud configuration. Also gain familiarity with surrounding technologies such as Mesos (Mesosphere) and Kubernetes.
• Built, configured and secured Virtual Machines for Open stack cloud environment
• Built Java based artifacts on the CM Server view using Maven, these Java based artifacts which includes war, ear and jar files for system testing and implemented configuration management (SCM) and change management (CM) using Clear Case.
• Performed automation engineer tasks and implemented the ELK stack (Elastic Search, Log stash, Kibana) for AWS EC2 hosts.

Environment: Python, Maven, Nexus, Ansible, Jenkins, Docker, Nginx, Nagios, GIT, Agile, AWS EC-2, Route 53, S3, VPC, Auto-Scaling, ELB, ELK, Shell Scripts, Java, Terraform, Unix/ Linux environment, spark.