SUMMARY

• Around 2+ years of progressive experience in the IT industry comprising Amazon Web Services, Software Configuration, and Deployment Automation and Cloud Implementation and Migration, Cloud Security, Infrastructure as Code, Containerization/Orchestration, Configuration Management, CI/CD. Continuous Integration (CI), Continuous Deployment (CD) and Release Management.
• Hands - on Experience in using AWS Resources such as EC2, S3, EMR, VPC, EBS, dynamo DB, Code Build, Code Deploy, Code Commit, Elastic Beanstalk, AMI, SNS, RDS, Cloud Watch, Route53, SQS, IOT, Cloud Front (CDN), Auto scaling, Security Groups, and Cloud Formation.
• Understanding of cloud offerings in the marketing and ability to discuss cloud architectures; familiarity/Strength with AWS and related AWS services.
• Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments.
• Involved with Team to deploy existing security tools with in the GCP environment to optimize the architecture and capabilities within Google Cloud Platform.
• Installation and configuration of Prometheus, Alert manager and Grafana Stack for OpenShift platform monitoring and auto-healing.
• Used distributed tracing to monitor the application built on a architecture and also observe service requests.
• Used Source code management tools GitHub, GitLab, Bitbucket including command line applications.
• Dynatrace and New Relic application monitoring for performance metrics in real time to detect and diagnose application problems automatically.
• Extensively used Google stack-driver for monitoring the logs of both GKE, GCP instances and configured alerts from Stack-driver for some scenarios.
• Experience in Designing Azure Resource Manager (ARM) templates and extensive experience in designing custom build steps using PowerShell.
• Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of Open stack Nodes and Test Playbooks on AWS instances using Python.
• Debugged and solved complex Splunk Integration challenges and Splunk configuration issues.
• Had Experience in Migrating Multi-tier Environments using AWS Server Migration Service.
• Excellent knowledge with Amazon AWS technologies, with a focus on highly scalable cloud-native architectural patterns, especially EMR (Elastic Map Reduce), Kinesis.
• Experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, VPN, Load Balancing, Application Gateways, Auto-Scaling, Traffic Manager.
• Responsible for designing and deploying new ELK clusters (Elasticsearch, Logstash, Kibana, beats, Kafka, zookeeper etc.
• Experienced in authoring and building Azure Logic apps, Logic App integration, Publishing and monitoring Logic Apps and Logic App diagnostics.
• Implemented and administered Continuous Integration process using Jenkins and Maven.
• Had Experience in Configuring the Kubernetes cluster and supported it running on the top of the CoreOS and setting up a Kubernetes cluster using Rancher on Ubuntu Bionic Beaver.
• Perform Enterprise Linux tasks as they pertain to supporting the Splunk application.
• Experience on Jenkins/Hudson, Git, GitHub, Bitbucket, Red Hat (RHEL), Shell script, UNIX, Linux, and Windows Server.
• Exposure in managing and setting up Continuous Integration using tools like Jenkins, Docker.
• Expertise of ANT & MAVEN builds tools.
• Monitored the servers using tools like New Relic and Nagios and providing 24x7 on-call support rotation basis.

PROFESSIONAL EXPERIENCE

Confidential

AWS DevOps Engineer

Responsibilities:

• Configured scalable, secure and disaster recovery cloud Architecture using Amazon Web Services.
• Deployed multi-tier applications utilizing AWS stack (EC2, Route53, S3, RDS, DynamoDB, SNS, SQS, IAM) focusing on fault tolerance and auto-scaling.
• Managed EC2 instances using launch configuration, Auto scaling, Elastic Load balancing, automated the process of provisioning infrastructure using Cloud Formation, Ansible templates, and created alarms to monitor using CloudWatch.
• Worked on Troubleshooting on Instance launch, Stopping, connecting, recovery issues and troubleshoot windows instance on EC2 instances in limited time.
• Configured and managed ELK stack to collect, search and analyze log files across the servers and created optimized indexes and derived analytics on Elasticsearch data.
• Installed application on AWS EC2 instances and configured the storage on S3 buckets.
• Created snapshots, AMIs, Elastic IP's and managed EBS volumes.
• Designed heterogeneous Hybrid Cloud solutions which integrate EC2, S3 storage on AWS Cloud and on-premises physical and VMware Virtual Servers, Networking and Security.
• Automation of JIRA, Confluence and Bitbucket installations and plugin installations.
• Automated Linux production server's setup using Puppet scripts, used these scripts to replicate production build environments on a local dev boxes using Vagrant and Virtual Box.
• Managed storage in AWS using Elastic Block Storage, S3, created Volumes, configured Snapshots.
• Deployed Lambda code into Amazon S3 buckets.
• Migrated Bitbucket from the Bitbucket 4.8 to the Datacenter edition.
• Hands on experience in writing Python scripts to parse XML documents and load the data in database.
• Worked with Source Control Systems like SVN and GIT.
• Handled operations and maintenance support for AWS cloud resources like launching, maintaining, and troubleshooting EC2 instances, and S3 buckets, Virtual Private Clouds (VPC), Elastic Load Balancers and Relational Database services.
• Designed and built out storage and fiber infrastructure for new data centers.
• Utilized Ansible for configuration management of hosted Instances within AWS.
• Configuring and Networking of Virtual Private Cloud (VPC).
• Implemented ASM (Automatic Storage Management) for filesystem connecting the volumes presented by SAN array to all the database nodes.
• Worked with repository managers like Nexus and Artifactory.
• Used Terraform in AWS Virtual Private Cloud to automatically setup and modify settings by interfacing with control layer.
• Developed, and implemented architectural solutions involving multiple Pivotal Cloud Foundry (PCF) foundations on VMware virtual infrastructure.
• Developed Templates for AWS infrastructure a using Terraform to generate staging and production environments.
• Worked with Storage Area Network (SAN) team to Solaris servers to create/expand the File systems and worked with Network Attached Storage (NAS) to allocate NAS on different servers.
• Deployed CoreOS Kubernetes Clusters to manage Docker containers in the production environment with light weight Docker Images as base files.
• Worked with Ansible Tower to manage Multiple Nodes and Manage Inventory for different Environments.
• Automated various infrastructure activities like Continuous Deployment, application server setup, using Ansible playbooks.
• Automated different workflows, which are initiated manually with Python scripts and Linux bash scripting.
• Used Zabbix as monitoring tool and used zabbix plugin for Grafana for analysis & visualization.
• Used Kubernetes to manage containerized applications using its nodes, Config Maps, Selector Services and deployed application container as Pods.
• Integrated Chef cookbooks into Jenkins jobs for continuous delivery framework by writing Chef cookbooks and recipes to automate the deployment process.
• Prototype CI/CD system with Gitlab utilizing Kubernetes and Docker for the CI/CD systems to build and test and deploy.
• Automated couple of workflows using PowerShell and Involved in writing background jobs using PowerShell.
• Automated infrastructure using Terraform and AWS CloudFormation and also used AWS cloudformation for updating the stacks.
• Created Docker images using a Docker file, worked on managing Docker volumes and created Docker Automation as a solution for CI/CD.
• Responsible for maintaining GIT Repositories and Coordinated and assisted developers with establishing and applying branching, labeling/naming conventions using GIT source control.
• Built scripts using Maven build tools in Jenkins to move from one environment to another environments.
• Setup Jenkins master slave architecture to use Jenkins as pipeline as a service.

Environment: AWS (EC2, S3, VPC, ELB, RDS, EBS, Cloud Formation, Cloud watch, Cloud trail, Route 53, AMI, SQS, SNS, CLI, CDN), GCP, Docker, Jenkins, Maven, Git, Jira, Bash, Shell, Perl, Python, Tomcat, Autoscaling, Route53, RHEL 6.8/7.

Confidential

DevOps/Cloud Engineer

Responsibilities:

• Configuring Active Directory Federation Service (ADFS) authentication flow, ADFS installation using Azure AD Connect, and involved in administrative tasks that include Build, Design, Deploy of Azure environment.
• Implementing infrastructure as code using Azure Resource Management and Terraform to provision Azure resources and to deploy serverless, containerize or VM based applications.
• Migrated the JIRA, Confluence and Bitbucket applications to the higher and latest versions.
• Performed installation and managed Grafana to visualize the metrics collected by Prometheus.
• Performed Linux administration tasks in tests and production environments with Installing, configuring and troubleshooting the client applications on the Linux servers.
• Provisioned Linux servers for multi cluster Artifactory environment.
• Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and in Data centers and migrating to Azure using Azure Site Recovery and collecting data from all Azure Resources using Log Analytics and analyzed the data to resolve issues.
• Had Participated in Building data backup/recovery strategy and plans.
• Created recommendations on how to duplicate a subset of on-premise machines to the Azure Infrastructure as a Service (IAAS) offering which will be used for disaster recovery.
• Worked on Automating, Configuring and Deploying Instances on Azure environments and in Data centers and migrating on premise to windows Azure using Azure Site Recovery and Azure backups.
• Implementation of Server 2019 Hyper-V high-availability, shared-nothing live migrations and software defined networking.
• Worked on Serverless services, created and configured HTTP Triggers in the Azure Functions with application insights for monitoring and performing load testing on the applications using the Visual Studio Team Services (VSTS) also called as Azure DevOps Services.
• Setting up of Linux cloud Open Stack environment in lab and documenting procedure for production environment implementation.
• Implementing infrastructure as code using Azure Resource Management and Terraform to provision Azure resources and to deploy serverless, containerize or VM based applications.
• Responsible for writing/modifying scripts using Bash for day-to-day administration.
• Involved in maintaining and editing Python scripts for application deployment automation.
• Also, involved in editing the existing MAVEN files in case of errors or changes in project requirements.
• Installed and configured Java, Tomcat by using ansible-playbook configuration management.
• Created and Managed the VPC, Subnets and route tables to establish a connection between different zones.
• Integrated Azure Log Analytics with Azure VMs for monitoring the log files, store them, track metrics and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers.
• Responsible for the design and maintenance of the GIT Repositories, views, and access control strategies.
• Implemented Kubernetes to deploy scale, load balance, scale and manage docker containers with multiple names spaced versions.
• Installed, configured and managed monitoring tools such as Splunk, Nagios, AppDynamics, ELK Stack and Zabbix for Resource Monitoring, Network, Monitoring, and Log Trace Monitoring.
• Worked in setting up the repos to various projects in GIT.
• Built end to end CI/CD pipelines in Jenkins integrating SCM, compiling source code, performing tests and pushing build artifacts to Nexus.

Environment: Git, Azure, SVN, Ant, Maven, Jenkins, Red hat Linux, Centos, Amazon Web Services (EC2, ECS, Dynamo DB, VPC, Subnets, IAM, Route53, S3, ELB, RDS, Security Groups, CloudFormation), Ansible, Terraform, Docker, Splunk, Tomcat.