Mahendra Kuntekal

Sr Azure Cloud DevOps Engineer

Email: adrpgs@r.postjobfree.com

Phone: 512-***-****.

PROFESSIONAL SUMMARY

Highly Motivated Cloud/DevOps Certified Engineer with 8+ years of IT experience in managing server infrastructures and administration of mission critical, high availability environments. Proficient in building and deploying applications by adopting DevOps practices such as Continuous development, Continuous Integration (CI) and Continuous Deployment (CD)in runtime with various tools like Git, Jenkins, Terraform, Ansible, Chef, Docker, Kubernetes, several scripting languages, and monitoring tools.

Sr Cloud DevOps engineer with experience in Cloud platforms (Azure, AWS), DevOps, Configuration management, Infrastructure automation, Continuous Integration and Delivery (CI/CD). Implement effective strategies for N - Tier application development in both Cloud and On-premises environments. Expertise 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.

Experience provisioning infrastructure using Terraform modules and Ansible playbooks. Troubleshooted build, bugs and infrastructure related problems

Expertise used Kubernetes and docker for container orchestration and deploying

monitoring and alerting tools like Prometheus and Grafana

Good exposure working in a distributed team and successfully delivering short/large timeframe projects

Hands on experience on Backup and restoring Azure services and in Designing and configuring Azure Virtual Networks (VNETs), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing, Blob storage, Active directory, Cosmos DB.

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

Good Knowledge on Azure Site Recovery and Azure Backup. Performed Installations and Configurations of Azure Backup agent and virtual machine backup, Enabled Azure Virtual machine backup from the Vault and configured the Azure Site Recovery (ASR).

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

Experience in deploying and optimizing two tier .NET web application to Azure DevOps to focus on development by using services such as Repos to commit codes, Test Plans to trigger application and unit test, deployed artifacts to App Service, Azure Application Insight collects health performance and usage data of the process.

Expertise in Azure DevOps and worked on Azure Web Application, App Services, Azure storage, Virtual Machines, Fabric Controller, Azure Search, and Notification Hub.

Experienced in migrating on-premises DevOps platform to Azure CI/CD processes by utilizing ARM templates, Azure DevOps, App services such as Repos, Test Plans, Pipelines, Web Apps, and Application Insights.

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.

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.

Written Terraform scripts to automate AWS services which include ELB, CloudFront distribution, RDS, EC2, database security groups, Route 53, VPC, Subnets, Security Groups, and S3 Bucket and converted existing AWS infrastructure to AWS Lambda deployed via Terraform and AWS CloudFormation.

Experience in managing Kubernetes services such as Azure Kubernetes, AWS Elastic container service, and EKS.

Proficient in using Docker Hub, Docker Engine, Docker images, Docker Weave, Docker Compose, Docker Swarm, and Docker Registry and used containerization for applications.

Proficient in creating Docker images using Docker File, worked on Docker container snapshots, removing images, and managing Docker volumes also implemented Docker automation solution for CI/CD model.

Extensive experience in installing, configuring, and administrating Jenkins CI tool on Linux machines and used Jenkins Pipelines to drive all Microservices builds out to the Docker Registry and in deployment to Kubernetes, Created Pods and managed using Kubernetes.

Involvement in developing APIs using Kubernetes to manage and specify the copies of the containers to run the actual servers in the cloud environment. Scheduled, deployed and managed container replicas onto a node cluster using Kubernetes and deployed Docker containers through Kubernetes to manage the microservices using its Nodes, Pods, Config Maps, Selectors, Services.

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

Professional in deploying and configuring Elasticsearch, Logstash, Kibana (ELK) and AWS Kinesis for log analytics and skilled in monitoring servers using Nagios, Splunk, AWS CloudWatch, Azure Monitor ELK.

Have Good Working knowledge in 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.

Professional in RHEL, Strong technical background in Storage, Disk Management, Logical Volume Management (LVM) and logical partitioning. Expertise in administration of networking devices such as routers and switches and also handful experience in trouble shooting skills on client servers using networking protocols (DNS, TCP/IP, SMTP & SNMP).

Technical Skills Summary:

Operating Systems

Linux (Red Hat 4/5/6/7), Ubuntu 14/16/18, Windows NT 2000/2003, CentOS 6, 7, 8.

Application Servers

Oracle Web Logic (8/9/10), IBM Web Sphere (5/6/7), JBOSS, Apache Tomcat.

Web Servers

Apache Tomcat, Nginx, WebSphere, WebLogic, JBoss, Samba, SQL Server.

Cloud Environments

Microsoft Azure, Amazon Web Services (AWS), Open Stack, Oracle

Automation Tools

Jenkins, Git Lab CI, Azure DevOps,Maven, Nexus.

Version Control Tools

Git, GitHub, SVN, Bitbucket, Subversion,ECR.

Virtualization Platforms

VMware, VirtualBox, Citrix, Vagrant.

Networking Protocols

DNS, DHCP, FTP/TFTP, NFS, SMTP, TCP/IP, NIS, HTTP/HTTPS, WAN, LAN, Palo Alto, Cisco Routers/Switches

Containerization Tools

Docker, Kubernetes, Docker Swarm, OpenShift

Scripting

Python, Shell Scripting, Ruby, Groovy, YAML, Perl, C, C++, .NET, Java, Go.

Database

Dynamo DB, MySQL, RDBMS, NoSQL, Cassandra, PostgreSQL, Mongo DB, Oracle DB.

Repository Management

JFrog, Nexus, Artifactory

Performance Monitoring& Bug Tracking Tools

Azure Monitor, CloudWatch, Splunk, Grafana, ELK, Nagios, Jira.VMware ESXI, Vagrant, Dynatrace

Storage

Azure Storage, Azure Blob Storage, Azure Backup, Azure Storage Disks- Premium, Azure data lake storage Gen 1, AWS S3 Cloud Storage, AWS EBS, AWS Storage gateway,NetApp/EMC Storage, SAN.

Education and Certifications:

B.tech (2014) JNTU Hyderabad

Bachelor of technology in Electronics and Communication engineering.

Microsoft Certified Azure Administrator (AZ-104)

Microsoft Certified Azure Fundamentals (AZ-900)

Professional Work Experience:

Sr Azure Cloud DevOps Engineer

Client: Microsoft, Houston, Texas, August 2020 to June 2022

Responsibilities:

Setup AZURE Virtual Appliances (VMs) to meet security requirements as software-based appliance functions (firewall, WAN optimization and intrusion detections).

Created TFS VNext Build agents and Pools, configured appropriate Build Agent capabilities.

Implemented TeamCity and Octopus build tools and integrated with TFS.

Created and wrote shell scripts (Bash), Ruby, Python and PowerShell for automating tasks.

Automated Weekly releases with ANT/Maven scripting for Compiling Java Code, Debugging and Placing Builds into Maven Repository.

Experience in Private Cloud and Hybrid cloud configurations, patterns, and practices in Windows AZURE and in AZURE web and database deployments.

Gained experience in dealing with Windows AZURE IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Auto-Scaling.

Configured VM's availability sets using AZURE portal to provide resiliency for IaaS based solution and scale sets using AZURE Resource Manager to manage network traffic.

Designed IaaS and PaaS solutions for new clients migrating from onsite infrastructure to cloud.

Implemented Micro-services using Pivotal Cloud foundry (PCF) platform build upon Spring Boot Services and created workflows on TeamCity for setting up automated pipelines for CI/CD with PCF.

Built, implemented, and maintained hardware and software infrastructure to host TFS as a SaaS solution including.

Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure.

Responsible for designing and deploying best SCM processes and procedures.

Used Puppet to automate Configuration management and to manage Web Applications, Configured Files, Data Base, Commands, Users Mount Points and Packages.

Managed local deployments in Kubernetes, creating local cluster and deploying application containers.

Used JAXB 2 for OXM (Object XML Mapping). Used Jackson to parse Jason.

Exposed Virtual machines and cloud services in the VNets to the Internet using External Load Balancer.

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.

DevOps Practice for Micro Services using Kubernetes as Orchestrator.

Implemented and Managed multiple MS-SQL Database cluster with synchronizes database replication.

Best Practices when Writing Container-Enabled Roles in Ansible.

Configuring the Docker containers and creating Docker files for various environment and worked on kubernetes environment.

Exported Requirements, test plans and test cases to TFS.

Building and Installing servers through AZURE Resource Manager Templates (ARM).

Written codebooks in Ansible by using Java, Python and Shell scripts.

Hands on experience on configuration management by using ansible and Chef.

Developed program connecting Bitbucket issues and to do list tasks to update each other.

Administrated Jenkins for Continuous Integration and deployment into Apache Tomcat/Web Sphere Application Servers.

Created and maintained various DevOps related tools for the team such as provisioning scripts, deployment tools and staged virtual environments using Docker.

Developing scripts for build, deployment, maintenance and related tasks using Jenkins, Docker, Maven, Python and BASH.

Development web service using Windows Communication Foundation and .Net to receive and process XML files and deploy on Cloud Service on Microsoft Azure.

Developed the parser for reading and processing the Ontology (OWL) files.

Updating kernel & security patches in Amazon Linux environment, handling out of memory issues in Linux kernels during rebalance

Creation of Prometheus- Grafana setup using Terraform /Ansible for various targets like Spark, MySQL, node exporters etc.,

Experience in migrating on premise to Windows Azure using Azure Site Recovery and Azure backups.

Experience with DockerKubernetes and micro services in general

Extensive experience in JIRA for creating bugs tickets, storyboarding, pulling reports from dashboard, creating and planning sprints.

Design data model and creating the schema on SQL Azure.

Experience in Custom Process design of Transformation via Azure Data Factory & Automation Pipelines.

Deployed and Maintained windows phone applications on azure cloud technologies.

Environment: Microsoft Azure (IaaS&PaaS), Jenkins, JIRA, Subversion, AWS Cloud, Puppet, JBoss, MySQL, PostgreSQL, OpenStack, Apache, Nginx, FTP, Splunk, Docker, Windows Server 2003, HTML, HTML5, OWASP, CSS3, Bootstrap, Code igniter, Adobe Fireworks and Sublime Text, Ansible.

Sr Azure Cloud DevOps Engineer

Client: Costco Travels, Seattle, WA January 2019 to July 2020

Responsibilities:

Prepared capacity and architecture plan to create the Azure Cloud environment to host migrationof IAAS VMs and PAAS role instances for refactored applications and databases to improve the performance. Established connection from Azure to On-premises data center using Azure ExpressRoute for Single and Multi-subscription connectivity.

Built recommendations on how to replica a subset of on-premises machines to the Azure Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. This evaluation included the specifics to synchronize on-premises data with SQL Server and SharePoint instances hosted in VMs.

Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and migrated Data centers to Azure using Azure Site Recovery, collecting data from all Azure Resources using Log Analytics and analyzed the data to resolve issues.

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 Sync to standby database in another region & Fail over configuration.

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

Experienced in Azure Role-based Access Control (RBAC) to segregate duties within the team and grant limited amount of access to users that they need to perform their jobs.

Written Templates for Azure Infrastructure as code using Terraform to build the environments staging and production. Integrated Azure Log Analytics with Azure Virtual Machines for monitoring the logs, store them and track metrics using Terraform, Managed multiple infrastructure resources like Cloud, VMware, and Docker containers.

Implemented Azure Active Directory for single sign-on access to thousands of cloud SaaS applications like Office 365, Dropbox. Worked as cloud Engineer, 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.

Worked on creation of ARM Template for Azure Build and Automation. Also Deployed Azure Resource Manager JSON Templates from PowerShell.

Worked on Azure suite including Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Service.

Worked on Site-to-site& Point-to-SiteVPNs, Virtual Networks, Network Security Groups, Load balancers, Storage Accounts. I have configured RBAC and Azure Monitor for adding security in Azure Cloud and Network Security Groups for Subnet and NIC level for Azure Virtual Machine.

Expert 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.

Worked with Version Control, Build & Release management, and deployments of the solutions to the DEV, QA & PROD Environments leveraging Azure DevOps/VSTS principles/process (CI/CD) and toolsets of Visual Studio, AKS (Azure Kubernetes Service), Application Insights, Log Analytics.

Deployed and optimized two tier Java, Python web applications to Azure DevOps CI/CD to focus on development by using services such as Repos to commit codes, Test Plans to unit test, deploy App Service, Azure Application Insight collects health performance and usage data of the process, stored artifacts in blob storages.

Worked on the PowerShell Script to automate the windows patching and created the release in Azure DevOps pipeline.

Deployed windows Kubernetes (K8s) cluster with Azure Container Service (ACS),Azure CLI and Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and Octopus Deploy. Worked on OpenShift for container orchestration with Kubernetes container storage.

Used Ansible for creating multiple playbooks for Resource creations and SQL server, cluster server and my SQL installations.

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

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

Implemented Docker-maven-plugin in Maven pom.xml files to build Docker images for all microservices and later used Docker file to build the Docker images from the Java jar files.

Designed, wrote and maintained systems using Python scripting for administering GIT, through 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.

Maintained Artifacts in binary repositories using JFrog Artifactory and pushed new Artifacts by configuring the Jenkins project using Jenkins Artifactory plugin.

Worked on Jira as defect tracking system and configure various workflows, customizations, and plugins for Jira bug/issue tracker integrated Jenkins with Jira, GitHub.

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 and also built and managed a highly available monitoring infrastructure to monitor different application servers like JBoss, Apache Tomcat and its components using Nagios.

Environments: Azure, PCF, Office 365, Terraform, Maven, Jenkins, Ansible, EC2,S3, Azure ARM, Azure AD, Kubernetes, Python, Ruby, XML, Shell Scripting, PowerShell, .Net, Nexus, JFrogArt ifactory, Git, Jira, GitHub, Docker, Windows Server, TFS, VSTS, LDAP, Nagios, Splunk.

Sr. DevOps Engineer

Client: Microsoft, Hyderabad, india. June 2016 to December 2018

Responsibilities:

Created and Managed AWS environment with HA and used the features EC2, VPC, IAM, ELB, EBS, SNS, cloud watch, S3, creating AMIs and snapshots, RDS, creating security groups, Subnets and Storage Gateway. Migrated an On-premises VMware DC to AWS using Lift and shift methods

Worked as a DevOps Engineer for a team that mainly worked closely with many proprietary tools and Open-source tools like Jenkins, Gerrit, AWS, JIRA, Docker, Kubernetes, Chef. Used for development and deployment of internal tools and programs.

Monitored and maintained the AWS S3 buckets which contained all the packets of each build. Each packet had metadata files which were extracted to proceed with the flash testing.

Configured and maintained the AWS Lambda function to trigger when there is a Jenkins build kicked off, which internally gets stored on AWS S3 bucket for everybody to access. Created Route53 to route traffic between different regions. Worked with Security groups & Network ACLs.

To trigger changes made in AWS Dynamo DB integrated it with Lambda, created Cron jobs for initiating our daily batch data pulls, executing our continuous integration tests done under Jenkins& backup the Dynamo DB streams.

Designed AWS CloudFormation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications.

Worked on implementing Cloud Solutions using various AWS Services including EC2, VPC, S3, Glacier, EFS, AWS Kinesis, Lambda, Directory Services, Cloud Formation, Ops works, Code Pipeline, Code Build, Code Deploy, Elastic Beanstalk, RDS, Data Pipeline, DynamoDB, Redshift.

Worked with Scheduling, deploying and managing Container replicas onto a node cluster using Kubernetes and worked with building Kubernetes run time environment of the CI/CD system to build, test and deploy in our open-source platform.

Worked on setting up Jenkins as a service inside the Kubernetes cluster to reduce the failover downtime to minutes and to automate the Docker containers deployment without using configuration management tool.

Installed and used Chef Server enterprise on-premises, workstation and bootstrapped the nodes using Knife command. Created various Roles & Environments & used Chef Handlers for auto kick-off requirement jobs.

Designed an ELK (Elastic LogstashKibana) system to monitor and search enterprise alerts and configured ELK stack in conjunction with AWS and using Logstash to output data to S3. Terminated SSL on to Nginx to remove overhead on API servers.

Developed AWS Lambda functions in Python to automate AWS Cloud Watch scheduled events between services like AWS SNS and AWS SES to deliver notifications regarding AWS EC2 instances to the team.

Implemented JIRA to track all issues pertaining to the software development lifecycle &integrated JIRA with repositories of GIT to track all code changes.

Developed PowerShell scripts to automate the project creation, setting permissions for users, groups in TFS. Developed automation scripting in Python using Chef to deploy & manage Java, .Net applications across Linux/Windows servers.

Environment: Amazon Web Servers (AWS),EC2,OpenStack, Docker, Kubernetes, Chef, Ansible, Jenkins, Maven/ANT, GIT, Elasticsearch, Logstash and Kibana (ELK), JIRA, WebLogic, Apache Tomcat, MongoDB, Linux/RHEL, Vagrant, Active Directory, LDAP, VMWare Servers, Windows, PowerShell, Ruby, YAML, Kafka, Shell, Bash, Python, terraform.

Client: Microsoft, Hyderabad, India. April 2014 to May 2016

DevSecOps Engineer.

Responsibilities:

Implemented end-to-end infrastructure automation by creating and managing AWS services Elastic Beanstalk, RDS Aurora, Lambda, S3, Neptune using Terraform that support Docker running application requirements.

Used IAM for creating roles, users, groups and implemented MFA (Multi Factor Authentication) to provide additional security to AWS account and its resources and Manage the user accounts (IAM- Identity Access Management), RDS, ROUTE 53, VPC, RDB, DynamoDB, SES, SQS and SNS service in AWS cloud.

Transformed and moved large amounts of data into and out of other AWS data stores (RDS) and databases, such as Simple Storage Service (Amazon S3) and Amazon DynamoDB using EMR.

Configured Route 53 as a Domain Name Service across the enterprise and configured public and private interfaces for the external clients and internal consumers.

Implemented Cloud Formation for AWS orchestration and automated the workflow of AWS Cloud at every layer (such as application, network, storage, and monitoring, etc.) of AWS by writing cloud formation templates.

Successfully deployed applications on to Ec2 Servers with zero down time by utilizing features of AWS autoscaling group with launch templates and make the application release life cycles are immutable with AMI orchestration.

Converted DevOps methodologies in to DevSecOps model by introducing security/vulnerability scans different phases of DevOps like clear text password scan during the build and packaging phase of application and on the other hand responsible for implementing pre provisioning scans and post provisioning scans for IAC by adopting tools like terraform enterprise (sentinel) and Inspect framework for AWS cloud resource validations.

Brought security standards in data management by applying KMS encryption strategy to encrypt the data at rest and implemented SSL encryption layer to encrypt the data during transport and plotted workflow for DevSecOps operating model

Orchestrated and migrated CI/CD processes using Cloud Formation and Terraform templates and Containerized the infrastructure using Docker, which was setup in Vagrant. Used Ansible to configure the built resources and troubleshoot the build issues with ELK and work towards the solution.

Managed Kubernetes charts using Helm, and built reproducible Kubernetes applications builds, managed Kubernetes manifest files and Helm package releases.

Managed Docker Containers, Kubernetes Clusters, Mesos and implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure and created Jenkins jobs to deploy applications to Kubernetes Cluster.

Integrated Jenkins with Docker container using CloudBees Docker pipeline plugin to drive all microservices builds out to the Docker Registry. Integrated Selenium automation regression test suite in Jenkins build pipeline to avoid issues in the production.

Automated AWS infrastructure through infrastructure as code by writing various Terraform modules, null resource scripts to create AWS IAM users, groups, roles, policies, custom policies, AWS Glue, Crawlers, Redshift clusters, snapshots of clusters, EC2, S3 buckets, application deployments.

Implemented AWS web application firewalls to monitor the web requests that are forwarded to API Gateways and Application Load balancers to enable the security model

Troubleshooting of network issues using DHCP, DIG, DNS, SNMP, SMTP, Ethernet, IOS, netstat, NFS, NIS, nslookup, RIP, OSPF, BGP, TCP/IP, and tcpdump.

Environment: AWS, Azure, Jenkins, Ansible, Terraform, Docker, Kubernetes, AWS Security Hub, AWS Control Tower, Splunk, Redshift, Elastic Beanstalk, Maven, Nexus, Amazon ECS, Cloud Formation, Python, YAML, Bitbucket

Contact this candidate