Naga M Email and Phone Number
• Around 9+ years of experience in IT industry comprising DevOps/AWS Engineer. I have an effective combination of work experience in Linux System Administration along with AWS and AZURE Cloud also Continuous Integration, Continuous Deployment (CI/CD), Build/release management and virtualization technologies which also include troubleshoot.• Implemented CI/CD pipelines as part of DevOps role for on-premises and cloud-based software using Jenkins, Maven, Nexus, GitHub, Puppet, Terraform Chef and AWS/Docker.• Experience in maintaining the branching, Merging, Tagging, Staging, build, and release strategies using SCM tools like Subversion (SVN), GIT, GitLab and Bit bucket.• Expert in creating, maintaining, troubleshooting and monitoring the AWS, Azure Cloud Services.• Designed, configured and managed public/private cloud infrastructures utilizing Amazon Web Services (AWS) including EC2 instances, VPC, S3 Bucket, Glacier, Route 53, Auto – Scaling, Elastic Load Balancer (ELB), Elastic Beanstalk, AWS Lambda, Cloud Front, RDS, Direct Connect, Cloud Watch, Cloud Formation, IAM, AMIs, SNS (Simple Notification Service) , SES (Simple Email Service) , SQS (Simple Queue Service),EBS (Elastic Block Store ), Access Control Lists.• Experience in creating Amazon EC2 instances and setting up security groups.• Experienced in cloud automation using, AWS cloud Formation Templates, ARM Templets. • Configured and managed Elastic Load Balancing (ELB) to implement fault tolerance and avoid single point of failure of applications, thus providing high reliability and efficient usage.• Experience working with AWS Lambda which runs the code with response of events. Setting up data in AWS using S3buckets and configuring instance backups to S3 bucket.• Experience in working with AWS in Creating Cloud formation JSON templates which is converted to Terraform for infrastructure as a code.• Experience with container-based deployments using Docker, working with Docker images, Docker Hub, Docker Compose, Docker-registries and Kubernetes.• Continuing architectural changes to move software system offerings to a distributed service architecture utilizing Docker/Kubernetes technologies.• Extensively used Docker for virtualization, run, ship, and deploy the application securely for fasten the build/release engineering and used Kubernetes in managing and monitoring the cluster.• Used Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts.
Salesforce
View- Website:
- salesforce.com
- Employees:
- 83776
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Sr. Devops And Aws Elasticsearch EngineerSalesforceBaltimore, Md, Us
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Sr. Devops/Aws Elasticsearch EngineerSalesforce Sep 2020 - PresentTexas, United States• Implemented Organization’s DevOps strategy in Linux and windows environment and adopted cloud strategies using Amazon Web Services.• Build AWS infrastructure using resources VPC, EC2, S3, RDS, Dynamo DB, IAM, EBS, Route53, SNS, SES, SQS, CloudWatch, CloudTrail, Security Group, Auto Scaling and RDS using Terraform and Cloud formation templates.• Worked on Terraform for automating VPCs, ELBs, security groups, SQS queues, S3 buckets, and continuing to replace the rest of our infrastructure. Using Terraform as a tool, Managed different infrastructure resources Cloud, VMware, Bare Metal Servers, and Docker containers.• Involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services and provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform.• Configured various plugins for Jenkins for automation of the workflow and to optimize and smooth running of build jobs.• Setting up the build and deployment automation for Java base project by using JENKINS and Maven.• Implemented ETL process to ingest analytical data stored in S3 into a Redshift data Warehouse cluster using AWS Lambda Microservices and Configured & forwarded the data of the ELB Access logs & VPC flow logs to S3 buckets.• Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.• Built Jenkins pipeline to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, created pods and managed using Kubernetes.
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Sr. Azure Devops EngineerIntuit Nov 2018 - Aug 2020Austin, Texas, United States• Implemented CI/CD pipelines on Azure including Logging & Monitoring of the systems using required DevOps tool chain such as Jenkins, Nexus OSS, SonarQube, Ansible, DTR management, Containerized open source ELK stack for digital applications.• Created Azure Automation Assets, Graphical runbooks, PowerShell runbooks that will automate specific tasks. deployed Azure AD Connect, configuring ADFS authentication flow, ADFS installation using Azure AD Connect. • Configured Azure web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure Traffic manager, Azure Network Watcher, Implementing Azure Site Recovery, Azure Backup and Azure Automation and deployed the Operations Management Suite (OMS) for monitoring and change tracking.• Worked on the Azure APP Service written on python to host website and auto scaled it according to the requirement.• Worked on deploying the .Net applications to Pivotal Cloud Foundry (PCF) and troubleshooting deployment issues with development teams and implemented Octopus Deploy to facilitate automated deployment to production.• Monitored Log Analytics in Azure Security Center for Trouble shooting the Compute, Storage, Networking & Applications.• Led implementation of Azure Active Directory for single sign-on access to thousands of cloud SaaS applications like Office 365, Dropbox. Also configured Azure Role-based Access Control (RBAC) to segregate duties within our team and grant only the amount of access to users that they need to perform their jobs.• Virtualized the servers using Docker for the test environments and dev environments needs and configuring automation using Docker containers.• Integrated Azure with Docker Enterprise edition to create the Azure VM Scale sets for autoscaling, Azure load balancing and Azure storage. Built the on-premise PAAS with Docker and Azure services. Clustered the microservice based docker containers using Kubernetes. -
Devops/Azure EngineerBlue Cross Blue Shield Of Michigan Apr 2017 - Oct 2018Detroit, Michigan, United States• Implemented a CI/CD pipeline using Jenkins, Ansible, and Maven in Linux environment. • Developed continuous delivery product release pipelines, using tools such as Run deck, Jenkins, and enable release and operations automation using Ansible. • Extensive experience in Windows AZURE (IaaS) migrating like creating AZURE VMs, storage accounts, VHDs, storage pools, migrating on premise servers to AZURE and creating availability sets in AZURE.• Analyze and resolve conflicts related to merging of source code for SVN/GIT.• Created auto-merge script to merge feature branches into feature integration branches.• Setup Continuous integration with Jenkins and make use of wide range of plugins available to setup smooth developer friendly workflows.• Understand the latest features like (Azure DevOps, OMS, NSG Rules, etc..,) introduced by Microsoft Azure and utilized it for existing business applications.• Automated build and deployment using Jenkins to reduce human error and speed up production processes.• Integrated Docker container or chestration framework using Kubernetes by creating pods, config Maps, deployments. • Created Docker Images using a Docker File. Worked on Docker container snapshots, removing images and managing Docker Volumes and experienced with Docker container service. • Extensively worked on Jenkins to implement continuous integration (CI) and Continuous deployment (CD) processes.• Deploying a Linux Kubernetes Clusters with ACS from the Azure CLI.• Create a Virtual Network on Windows Azure to connect all the servers.• Handle escalated Support tickets till closure for MS Azure PaaS platform. Configured AD connect to configure federation with on-premises ADFS and Azure AD. Experience is using Microsoft Azure.• Deployed the applications to Tomcat Application Server and Static content to Apache Web Servers. -
Aws Devops EngineerCombined Insurance Jul 2016 - Mar 2017Chicago, Illinois, United States• Developed and implemented Software Release Management strategies for various applications through the agile process Using DevOps tools. • Worked with Development and QA teams to continuously integrate software development using Maven, GIT, and Jenkins.• Responsible for architecting, designing, implementing, and supporting of DevOps and AWS cloud-based infrastructure and its solutions.• Designed and implemented multiple deployment strategies using CI&CD Pipeline through automation with enterprise GitHub, Jenkins, Sonar Nexus, Docker, and AWS AMI's in Linux environment.• Migrated on premise database to AWS Cloud and designed, built, and deployed a multitude application utilizing the AWS stack (Including EC2, R53, S3, RDS, SNS, and IAM), by focusing on high-availability, fault tolerance, and auto-scaling.• Developed build and deployment scripts using Maven as build tool in Jenkins to move from one environment to other environments and Involved in editing the existing Maven files in case of errors or changes in the project requirements.• Used Aws Lambda for Server less code compiling and Kinesis for the product development.• Implemented continuous delivery pipeline involving Jenkins, Ansible to complete the automation from commit to deployment.• Debug and resolve Pre-Post OpenStack deployment failures.• Worked with the groovy scripts in Jenkins to execute jobs for a continuous integration pipeline where 'Groovy Jenkins Plugin' and 'Groovy Post-Build Action Plugin' is used as a build step and post build actions environments needs. And, configuration automation using Docker containers.• Wrote AWS Lambda functions in python for AWS's Lambda which invokes python scripts to perform various transformations and analytics on large data sets in EMR clusters.• Implemented AWS Lambda functions to run scripts in response to event in Amazon Dynamo DB table or S3 bucket or to HTTP requests using Amazon API Gateway. -
Devops/Aws EngineerEpam Systems Jul 2014 - Oct 2015• Plan, deploy, monitor, and maintain Amazon AWS cloud infrastructure consisting of multiple EC2 nodes required in the environment and worked on application deployment and data migration on AWS (Cloud formation, Cloud Front).• Involved in designing and deploying a multitude applications utilizing almost all the AWS stack (Including EC2, S3, RDS, EBS, ELB, IAM) focusing on high-availability, fault tolerance and auto-scaling in AWS Cloud formation.• Involved in improvement of CI/CD (Continuous Integration /Continuous Delivery) Software Release Management strategies for various applications.• Created Python scripts to, totally 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.• Maintained the FTP server in which the builds were copied.• Designed the Infrastructure, and implemented on AWS cloud.• Setup AWS VPC’s for dev, staging and Prod environments.• Vulnerability Assessment & Penetration Testing on the infrastructure on AWS for security.• Responsible for using AWS console for deploying and operating AWS services specifically VPC, EC2, S3, EBS, IAM, ELB and Cloud Formation.• Involved in designing and deploying multitude applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS Cloud Formation.• Knowledge in docker swarm orchestration, networking, security, storage and volumes.• Continuous Integration: implemented and promoted use of Jenkins within the developer community. Validated Jenkins along with Bamboo.• Regularly monitoring application server instances using Nagios, Dynatrace and Blue stripe.
Naga M Education Details
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Information Technology
Frequently Asked Questions about Naga M
What company does Naga M work for?
Naga M works for Salesforce
What is Naga M's role at the current company?
Naga M's current role is Sr. DevOps and AWS Elasticsearch Engineer.
What schools did Naga M attend?
Naga M attended Jawaharlal Nehru Technological University.
Who are Naga M's colleagues?
Naga M's colleagues are Lee Enkoff, Julie Boquet, Vipul Tripathi, Sujith Babu Alahari, Kaaviyan Kanagasabapathi, Todd Sears, Rodrigo Fernández Cervantes.
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