Devops Engineer Cloud Services

PARAMESHWAR

***************@*****.*** PH: 314-***-****

Azure DevOps Engineer

PROFESSIONAL SUMMARY

Fast - paced software professional with 10+ years of experience in Cloud (Azure, AWS, GCP), DevOps, Configuration management, Infrastructure automation, Continuous Integration and Delivery (CI/CD). I can implement effective strategies for N - Tier application development in both Cloud and On-premises environments. Experience in dealing with Unix/Linux and Windows server administration.

Expertise in Architecting and Implementing Azure Service Offering, such as Azure cloud services, Azure storage, IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Azure, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure Service Fabric, Azure Monitor, and Azure Service Bus.

Hands on experience on Backup and restore Azure services and in Design and configure Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing. Azure cloud services, Blob storage, Active directory, Azure Service Bus, Cosmos DB.

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 (VMSS) using Azure Resource Manager (ARM) to manage network traffic.

Experience in migrating on-premises applications to Azure and configured VNETs and subnets as per the project requirement also performed PowerShell scripting to do Patching, Imaging, and Deployments in Azure.

Experience in migrating on-premises applications to Azure and configured VNETs and subnets as per the project requirement also performed PowerShell scripting to do Patching, Imaging, and Deployments in Azure.

Experience in Infrastructure Development and Operations involving AWS Cloud Services, EC2, EBS, VPC, RDS, SES, ELB, Auto scaling, CloudFront, Cloud Formation, Elastic Cache, API Gateway, Route 53, Cloud Watch, SNS.

Expertise in building CI/CD on AWS environment using AWS Code Commit, Code Build, Code Deploy and Code Pipeline and experience in using AWS CloudFormation, API Gateway, and AWS Lambda in automation and securing the infrastructure on AWS.

Implemented a CI/CD pipeline using Azure DevOps (VSTS, TFS) in both cloud and on-premises with GIT, MS Build, Docker, Maven along with Jenkins plugins.

Successfully migrated on-premise servers to Azure, configuring VMs, storage accounts, and virtual networks to ensure high availability and security.

Experience in changing over existing AWS infrastructure to Serverless architecture (AWS Lambda, AWS Kinesis) through the creation of a Serverless Architecture using AWS Lambda, API gateway, Route 53, S3 buckets.

Experience in Kubernetes to deploy scale, load balance, and manage Docker containers with multiple names spaced versions using Helm charts.

I have worked with various data visualization tools like Kibana to monitor and analyse system performance. I am eager to apply these skills to Power BI administration and create interactive dashboards for data exploration

Experience in managed Kubernetes services such as Google Kubernetes Engine (GKE), Azure Kubernetes and AWS Elastic container service.

I effectively utilized Azure Synapse's capabilities for data storage, transformation, and analysis.

Proficiency in using Docker Hub, Docker Engine, Docker images, Docker Weave, Docker Compose, Docker Swarm, Docker Registry and used containerization to make applications platform when moved into different environments.

Experience in installing, configuring, and administering Jenkins CI tool on Linux machines and used Jenkins Pipelines to drive all Microservices builds out to the Docker Registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

Worked with logging/monitoring tools such as Splunk, Log stash, CloudWatch and Nagios.

Worked with data visualization tools like Kibana to create dashboards and visualizations for monitoring and analysing system performance. This experience translates well to Power BI, where I can leverage my skills to design interactive dashboards for data exploration and business intelligence

Expertise in configuring the monitoring and alerting tools according to the requirement like Prometheus and Grafana, setting up alerts and deployed multiple dashboards for individual applications in Kubernetes.

Experience in Configuration management tools such as Chef, Ansible, and Puppet. Wrote Chef recipes and cookbooks in Ruby scripting.

Skilled with Python, Bash/Shell, PowerShell, Ruby, Perl, PowerShell, JSON, YAML, Groovy. Developed Shell and Python Scripts used to automate day to day administrative tasks and automation of the build and release process.

TECHNICAL SKILLS:

Operating Systems: Windows, UNIX, LINUX, RHEL, SOLARIS

Cloud Technologies: AWS, Google Cloud Platform, Azure

Code Version controls: Bit Bucket, Subversion, GIT and Perforce

Build Tools: ANT, MAVEN, Gradle

CI Tools: Jenkins, Bamboo, VSTS

Deployment Tools: Chef, Puppet, Ansible

Container & container Orchestration Tools: Docker, EC2 Container Services, Azure Container Services, Docker Swarm, Kubernetes.

Repositories: Nexus, Artifactory

Monitoring Systems: Nagios, Splunk

Languages: C, C++, Perl, Shell, Python, Ruby scripting, SQL, XML

Tracking tools: Jira, Remedy

Web servers: Web logic, Web Sphere, Apache Tomcat, JBOSS

Databases: Oracle, SQL SERVER, MY SQL, Mongo DB

Logging: Cloud Watch, Cloud Trail, Azure App Insights, Azure Monitor

PROFESSIONAL EXPERIENCE

Exabeam, Foster City, CA July 2023 to Present

Azure Cloud / DevOps Engineer

Responsibilities:

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. This analysis included the specifics to synchronize on-premise data with SQL Server and SharePoint instances hosted in VMs.

Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal.

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 analysed the data to resolve issues.

Experience in working in .Net application and branching, Tagging, Release Activities on Version Control Tool like GIT and Subversion (SVN).

Identified gaps in current logging, to development teams which resulted in new enhanced logging procedures.

Configured Azure Multi-Factor Authentication (MFA) as a part of Azure AD Premium to securely authenticate users and worked on creating custom Azure templates for quick deployments and advanced PowerShell scripting. Deployed Azure SQL DB with GEO Replication, Azure SQL DB Sync to standby database in another region & fail over configuration.

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.

Used Azure Automation and PowerShell runbooks to automate various tasks, including collecting data from Azure resources, processing it, and storing it for analysis. This experience translates well to Azure Data Factory, where I can leverage my automation skills to build and manage data pipelines.

While not directly used in projects, I possess a strong understanding of data warehousing concepts and ETL processes, having migrated on-premise databases to cloud solutions like AWS Redshift. I'm confident in my ability to quickly learn and apply Azure Synapse.

Created Azure Automation Assets, Graphical runbook, PowerShell runbook that will automate specific tasks, deployed Azure AD Connect, configuring Active Directory Federation Service (AD FS) authentication flow, ADFS installation using Azure AD Connect, and involved in administrative tasks that include Build, Design, Deploy of Azure environment.

Configure Continuous Integration from source control, setting up build definition within Visual Studio Team Services (VSTS) and configure continuous delivery to automate the deployment of ASP.NET MVC applications to Azure web apps and managed Azure Active Directory, Office 365 and applied upgrades on a regular basis.

Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments. Integrated Azure Log Analytics with Azure VMs for monitoring the log files, store them and track metrics and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers.

Ability to multi-task and prioritize, Security – RBAC

Worked on OpenShift for container orchestration with Kubernetes container storage, automation to enhance container platform multi-tenancy also worked on with Kubernetes architecture and design troubleshooting issues and multi-regional deployment models and patterns for large-scale applications.

Used Ansible to Setup/teardown of ELK stack (Elasticsearch, Log stash, Kibana) and troubleshoot the build issues with ELK and work towards the solution.

Written Ansible handlers with multiple tasks to trigger multiple handlers and to decouple handlers from their names, making it easier to share handlers among Playbooks and Roles.

Managed Kubernetes charts using Helm, Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.

Designed, wrote and maintained systems in Python scripting for administering GIT, by using Jenkins as a full cycle continuous delivery tool involving package creation, distribution, and deployment onto Tomcat application servers via shell scripts embedded into Jenkins jobs.

Worked with Nagios for Azure Active Directory & LDAP and Data consolidation for LDAP users. Monitored system performance using Nagios, maintained Nagios servers and added new services & servers.

Environment: Azure, Terraform, Maven, Jenkins, Ansible, Azure ARM, Azure AD, Azure Site Recovery, Kubernetes, Python, Shell Scripting, PowerShell, Azure Synapse, Nexus, Azure Data Factory, Jfrog Artifactory, Jenkins, Git, Jira, GitHub, Ansible, Docker, Windows Server, TFS, VSTS, LDAP, Nagios.

Fifth Third Bank, Evansville, IN March 2021 to June 2023

DevOps / Azure Automation Engineer

Responsibilities:

Creating and maintaining containerized micro services and configuring/maintaining private container registry on Microsoft Azure for Hosting Images and using Windows Active Directory.

Deployed and Maintained windows phone applications on Azure cloud technologies. Converted .Net application to Microsoft Azure Cloud Service Project as part of cloud deployment.

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. This analysis included the specifics to synchronize on-premise data with SQL Server and SharePoint instances hosted in VMs.

Setup Hybrid connections between Azure web pass and on-premise SQL databases.

Managed servers on the Microsoft Azure Platform Azur e Virtual Machines instances using Ansible Configuration Management and created Ansible Playbooks, tasks and roles to automate system operations

Worked on AZURE (IaaS) migrating like creating AZURE VMs, storage accounts, VHDs, storage pools, migrating on premise servers to AZURE and creating availability sets in AZURE and performed Hardening of the VM’s and also disk encryption using the KEK key in MS Azure.

Worked on GKE Topology Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers GKE Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers.

Monitor the Azure VM’s using Zabbix to display the network I/O bound, Memory usage, CPU, and other metrics.

Configuration of various plugins for Jenkins for automation of the workflow and to optimize and smooth running of build jobs.

Used data visualization tools like Kibana to create dashboards and visualizations for monitoring and analysing system performance. This experience translates well to Power BI, where I can leverage my skills to design interactive dashboards for data exploration and business intelligence

I've worked with a range of Azure data services, including Azure SQL DB, Azure Data Lake, and Azure Automation. These services often integrate closely with Azure Synapse, and my familiarity with them will enable me to seamlessly incorporate Synapse into existing data solutions and workflows.

Deploy OpenStack environments through automated tools, Ansible / custom pipeline, and Terraform for Infrastructure Automation.

Managed Maven environment by setting up local, remote, and central repositories with required configuration in maven configuration files.

Defined dependencies and plugins in Maven pom.xml for various activities and integrated Maven with GIT to manage and deploy project related tags.

Used Ansible as a configuration management tool to deploy consistent infrastructure code across multiple environments and Wrote playbooks using Python/YAML script for automating the infrastructure for test and production.

Worked on Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change.

Worked on Open-source development tools like Docker Containers and installation of Docker using YUM, RPM package management service and used Docker Swarm to manage Docker clusters using swarm manager.

Worked on MAVEN as build tool for the building of deployable artifacts (jar, war & ear) from source code.

Created Maven POMs to automate build process for the new projects and integrated them with tools like SonarQube, Nexus.

Setting up the build and deployment automation for Java base project by using JENKINS and Maven.

Worked on implementing microservices on Kubernetes Cluster and Configured Operators on Kubernetes applications and all of its components, such as Deployments, ConfigMaps, Secrets and Services.

Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure and worked on multiple things like setting up Kubernetes dashboards with AAF and using kube config.

Setting up huge Kubernetes platform with four clusters and helping with various app teams and Kubernetes dashboard to access the cluster via its web-based user interface.

Creating manifests and classes in Puppet for automation and worked on infrastructure with Docker containerization.

Implemented infrastructure that effectively and efficiently utilizes Office 365 and the Microsoft Azure Windows server 2008/2012/R2, Microsoft SQL Server, Microsoft Visual Studio, Windows PowerShell, Cloud infrastructure.

Worked on Custom solution development, including utilization of PowerShell and OMS Data Collector API to collect, expose, and automate utilizing custom data.

While migrating on-premise databases to AWS Redshift at Travelport, I gained practical experience in data transformation and loading. This involved cleansing, transforming, and loading large datasets into a cloud-based data warehouse. I can apply this knowledge to Azure Data Factory for performing similar ETL operations within the Azure ecosystem.

Automated various data collection and reporting tasks using tools like Azure Automation and Log Analytics. This involved gathering data from diverse sources, processing it, and presenting it in a meaningful way. I can apply these automation skills to Power BI for streamlining data refresh processes and generating reports efficiently.

configured and managed cloud-based data solutions, including Azure SQL DB and Azure Data Lake. This experience, combined with my understanding of data warehousing and ETL processes, provides a solid foundation for working with Azure Data Factory and its integration with other Azure data services.

I automated data collection from Azure resources using Azure Automation and Log Analytics. This experience translates well to Azure Data Factory for building and managing data pipelines.

Worked in setting up LDAP, DNS, DHCP Server along with effective group and System Level policies and roaming profile features by using Samba and NFS servers.

Working as cloud Administrator, involved in configuration for Web apps/Function apps, V-net integration, HCM, Application gateway, App Insights, Active directory, Azure Key Vault, Encryption and Security on AZURE using ARM templates and PowerShell script.

Worked on configuring data sources for JBOSS with various versions of databases and configured and monitored distributed and multi-platform servers using Nagios.

Environment: Microsoft Azure, Terraform, AWS, Apache, Azure Data Factory, Tomcat, Azure Data Factory, Nagios, MySQL, PHP, Jenkins, Maven, Docker, Ansible, Power BI, JBOSS 4.22.GA, JSON, Web Logic Application Server 9.x, 10.x, Ansible, GIT, Oracle, Windows, and Linux.

Travelport Englewood, CO June 2018 to February 2021

AWS DevOps / Build & Release Engineer

Responsibilities:

Worked with AWS services like EC2, S3, VPC, ELB, Auto Scaling Groups, Route 53, IAM, CloudTrail, CloudWatch, CloudFormation, CloudFront, SNS, and RDS.

Handled operations and maintenance support for AWS cloud resources which includes launching, maintaining and troubleshooting EC2, S3, VPC, Elastic Load Balancers (ELB) and RDS, ELK, LAMBDA.

Managed multiple AWS accounts with multiple VPC’s for both production and non-prod where primary objectives included automation, build out, integration and cost control.

Worked on migration services like AWS Server Migration Service (SMS) to migrate on-premises workloads to AWS in easier and faster way using Rehost "lift and shift" methodology and AWS Database Migration Service (DMS), AWS Snowball to transfer large amounts of data and Amazon S3 Transfer Acceleration.

Strong Experience in implementing Data warehouse solutions in AWS Redshift, worked on various projects to migrate data from on premise databases to AWS Redshift, RDS and S3.

Using Chef deployed and configured Elastic search, Log stash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.

Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform.

Involved in provisioning and Automation servers on Public Cloud like AWS, AWS and Kubernetes.

Created AWS Multi-Factor Authentication (MFA) for instance RDP/SSH logon, worked with teams to lock down security groups.

Used Terraform to transform the infrastructure from on - premise to cloud.

Worked on creating the modules driven AWS Infrastructure with terraform. Created Infrastructure Git repositories for Terraform to launch the stacks.

Work with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation.

Worked on a Build pipeline including Jenkins, Artifactory and a private Docker registry.

Experience in creating Docker containers leveraging existing Linux Containers and AMI's in addition to creating Docker containers from scratch.

Implemented and Enhanced the Existing Scripts which are developed in Shell, Power Shell, Ruby and Python.

Worked extensively with Terraform and wrapped it and managed the back-end state in S3 Bucket.

Created and troubleshooted Ansible scripts and Kubernetes YAML files to deploy SCM/CI/CD applications automatically and Idempotently to reduce time costs.

Extensively used Google Stack driver for monitoring the logs of both GKE and GCP instances and configured alerts from Stack driver for some scenarios.

Involved in Setup and Configuration of Puppet Configuration Management.

Design and Implemented Cloud Orchestration solution using Google Cloud, AWS EC2 & Microsoft Azure, Docker and Kubernetes.

Initially thought of using Kubernetes the finally decided to use Docker swarm because Docker swarm is integrated with Docker daemon.

Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes

Automated the cloud deployments using Chef, Python and AWS Cloud Formation Templates.

Installed Chef-Server Enterprise On-Premise/WorkStation/ Bootstrapped the Nodes using Knife.

Managed Nodes, Run-Lists, roles, environments, data Bags, cookbooks, recipes in Chef.

Implemented Auto Scaling with Chef and Assign Chef Roles to EC2 instances.

Deployed and configured Chef Server and Chef Solo including bootstrapping of Chef Client nodes for provisioning.

Installation, Configuration of NFS, DNS, SAMBA, APACHE severs in RedHat, Debian, Ubuntu Linux Servers.

Environment: Linux, Maven, Chef, Jenkins, Vagrant, Docker, Kubernetes, Nagios, Artifactory, GIT, AWS Cloud Formation, RDS, RedHat, Linux/Unix, Redshift, EC-2, AMI, Route 53, S3, VPC, Ruby, Shell Scripts, ELK, Lambda and Cloud Watch, Auto Scaling, Python, Groovy, RHEL

DevOps Engineer

Dhruvsoft Services Private Limited, Hyderabad, India September 2016 to March 2018

Responsibilities:

Working for DevOps Platform team responsible for specialization areas related to Ansible for Cloud Automation.

Launching EC2 instances and involved in AWS RDS, Creating VPC, providing access through IAM roles and monitoring applications using Cloud watch.

Managed EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for GIT.

Experience in configuring and integrating the servers with different environments to automatically provisioning new machines using Configuration management tools like Ansible

Good knowledge in writing and implementing playbooks comprising of resources, templates, attributes and uploaded them to Ansible web server.

Developed installer scripts using Python and Unix for various products to be hosted on Application Servers.

Used Jenkins as a continuous integration tool to creating new jobs, managing required plugins, configuring the jobs selecting required source code management tool, build trigger, build system and post build actions, scheduled automatic builds, notifying the build reports.

Developed Build and deployment pipeline through Jenkins based on project requirements.

Responsible for the development and maintenance of processes and associated scripts/tools for automated build, testing and deployment of the products to various developments.

Deploy builds to production and work with the teams to identify and troubleshoot any issues.

Created branching strategy for different teams and supported parallel development by creating multiple branches in TFS.

Defining dependencies and plugins in Maven pom.xml for various activities and integrated maven with GIT to manage and deploy project related tags.

Setting up the GIT repos for Jenkins build jobs and worked on Branching, Tagging and Release Activities on Version Control Tools: GIT HUB.

Executed MAVEN builds to automate artifacts like jar, war, and ear and pushing the War, Jar, files in to S3 bucket (AWS).

Experience supporting and deploying to web application servers such as Apache, Tomcat and Apache HTTPD servers.

Worked on installation and creation of custom Docker container images, tagging and pushing the images.

Member of the Technical Design team, Build and Release Module for Development of new products.

Provided detailed documentation of complex build and release process, build cycles and calendars including creating build reports and Release notes.

Migrating existing on-premise applications and services to AWS.

Used JIRA as ticket tracking, bug tracking and work flow tool.

Experience in monitoring infrastructure using Nagios.

Extensive knowledge and support of multi-tiered application architectures including and running on: primarily worked on some .NET applications, Java based applications.

Developed Cloud Formation templates (CFT) to automate EC2 instances

Environment: AWS, NoSQL Cassandra, TFS, Maven, Apache Tomcat, Ansible, Jenkins, Python, Nexus, Shell Scripts, GitHub, Power shell, Nagios and JIRA, .net, java.

Cybage Software Private Limited Hyd India October 2014 to August 2016

Linux Administrator

Responsibilities:

Installation and configuration of Solaris 8,9 &10 and LINUX/ Cent OS/Redhat 6.X

Created and maintained user accounts in RedHat Enterprise Linux (RHEL) and other operating systems

Installed and configured Debian and Ubuntu for Testing the applications

Configure cluster, failover cluster, troubleshoot cluster issues, add/delete resources, service groups

Configured LUNs From VNX to Solaris and Linux servers using unispear for VNX storage

Experience with puppet, chef and ansible

Installed and configured the Emulex & QLogic HBA cards

Set up CVS environment for Oracle stored procedures that increased efficiency of version control

Strong knowledge on Cf-engine, SubVersion (Svn) and perforce for production deployments

Install Apache/Web logic server on Linux server

Administrated EMC Clarion CX and AX series,

Hands on experience in building servers and automating the provision of OS by using Kickstart for RedHat and Jumpstart for Solaris.

Experienced in Server builds and automating the provision of OS by using Jumpstart for Solaris and Kickstart for RedHat (RHEL).

Installed and configured servers using RedHat Linux Kickstart method.

Work on secure internet transmission protocol (FTP w/SSH/SSL, HTTPS)

Setup the QA, integration, UAT and Production environment for 200 Linux nodes

Sarbanes-Oxley process compliance, documentation, and remediation with auditors

VMWare ESX, Workstation, Server, and Player. Used VMWare Infrastructure 3 with VMotion on Dell platforms with hardware iSCSI on NetApp filers

Backup and recovery using Verities Net backup. Upgraded Netback up

Creating the Backup Tapes for Off-site

Performed Disaster recovery steps in Test servers

Responsible for Database build, release and configuration.

Perform Deployment of Release to various QA & UAT in Linux environments.

Work with different team members for automation of Release components.

Configured LUNs From VNX to Solaris and Linux servers using unispear for VNX storage

Experience with puppet, chef and ansible.

Environment: Windows, Linux, Solaris, HP-UX, AIX, chef, Python, Shell, Ubuntu, Cent OS.

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