M.Vineeth Kumar

Sr. Cloud / DevOps Engineer

+1-203-***-****

adzab7@r.postjobfree.com

http://www.linkedin.com/in/milatarivineethkumar

Professional Summary

Sr. Cloud & DevOps professional with around 8+ Years of experience in the IT industry comprising Cloud Management, dedicated to automation and optimization. Has experience with Cloud Solutions, build and release management, version control, continuous integration, continuous deployment, and Linux system administration, as well as DevOps automation development for Linux systems. Seeking a position in Cloud/ DevOps to contribute my technical knowledge.

A seasoned Cloud professional with a deep understanding of cloud technologies, infrastructure, and best practices, dedicated to optimizing and enhancing business operations through innovative cloud solutions on the AWS, GCP, and Azure cloud platforms.

Skilled in implementing Infrastructure as Code (IAC) using tools like AWS CloudFormation and Terraform, enabling repeatable and automated deployments.

Professional AWS security practices, including IAM roles, policies, and VPC configurations to ensure data privacy and compliance and in setting up CI/CD pipelines using AWS CodePipeline and CodeDeploy for seamless application delivery.

Have extensive experience building, implementing, and maintaining sophisticated cloud applications using Azure services. I am a tremendous asset in facilitating successful Azure migrations and transformations because of my knowledge of cloud infrastructure, application architecture, DevOps techniques, security, and data analytics.

Proficient in designing Azure infrastructure components, including virtual networks, subnets, NSGs, AKS, and VPN gateways, to ensure secure and scalable environments.

Proficiency in integrating Azure services, such as Azure Active Directory, Azure SQL Database, Azure Storage, and Azure Functions, to create comprehensive cloud solutions.

Proficient in leveraging the Google Cloud Platform and a deep understanding of its services.

My proficiency in GCP empowers me to drive innovation and deliver value through cloud-enabled solutions.

Specialized in OpenShift orchestration and containerization with a proven track record of architecting and implementing robust CI/CD pipelines, automating infrastructure provisioning, and optimizing deployments for complex applications.

Experienced in designing Virtual Private Clouds (VPCs) to isolate resources, define subnets, and implement firewall rules for secure and controlled networking within GCP.

Skilled in utilizing Google Kubernetes Engine (GKE) to manage and orchestrate containerized applications, ensuring seamless scaling, automated deployments, and efficient resource utilization.

Proficient in Kubernetes and OpenShift ecosystems, driving efficiency, scalability, and security through innovative DevOps practices. Skilled in cloud integration, automation, monitoring, and fostering cross-functional collaboration.

Build and configure a virtual data centre in the Amazon Web Services cloud to support Enterprise Data Warehouse hosting, including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, and Elastic Load Balancer.

Experienced Senior DevOps Engineer with deep Expertise in Terraform and cloud infrastructure automation. Adept at designing, implementing, and managing complex infrastructure as code (IaC) solutions using Terraform, optimizing resource provisioning, scalability, and security

Proven track record of streamlining deployment workflows, enhancing collaboration between development and operations teams, and driving efficient cloud environments through Terraforms declarative approach.

Extensive Expertise in containerization technologies, utilizing Docker to package applications and provide consistent deployment environments. Moreover, my proficiency in managing container orchestration platforms like Kubernetes, Docker Swarm, AKS, and Amazon ECS allows me to efficiently scale and manage containerized applications for seamless scalability and high.

Mastery in containerization and orchestration using Docker, enabling seamless application deployment, scaling, and portability.

Skilled in Docker containerization, orchestrating and scaling applications with Kubernetes, and automating CI/CD pipelines for seamless deployment and integration.

Proven track record of optimizing development workflows and enhancing system reliability through containerization strategies.

Experienced Kubernetes professional adept at orchestrating and managing containerized applications in dynamic environments.

Proficient in designing, deploying, and scaling Kubernetes clusters to ensure efficient resource utilization and seamless application delivery.

Experienced Senior DevOps Engineer skilled in orchestrating complex deployments and optimizing workflows using Helm, a leading Kubernetes package manager. Adept at leveraging Helm charts to streamline application provisioning, scaling, and configuration management.

Proficient in designing, implementing, and maintaining robust infrastructure using tools like Ansible, Puppet, and Chef. Proven track record of enhancing operational efficiency, reducing manual tasks, and ensuring consistent, scalable, and secure deployments.

Proficient in Designing recipes and cookbooks, Puppet, Puppet Master and Puppet Agents, Ansible, Ansible Playbooks with Python, and AWS (OPS work).

Skilled in containerization and microservices architecture, facilitating a smooth transition to Docker and Kubernetes environments.

Recognized for streamlining application migration by containerizing monolithic systems into scalable, microservices-based ecosystems

Expert in orchestrating cloud migrations, encompassing AWS, Azure, and GCP, to deliver scalable, resilient, and cost-effective solutions.

categorized threats like Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service (DoS) swith DREAD (Damage, Reproducibility, Exploitability, Affected Users, Discoverability) to assess and prioritize threats.

Expert in Networking infrastructure of cloud-based applications is well-designed, automated, secure, and scalable, aligning with the principles of DevOps for streamlined and efficient operations.

Experienced Jenkins professional with a proven track record of orchestrating and automating software delivery pipelines. Expertise in configuring, optimizing, and maintaining continuous integration and deployment workflows for enhanced efficiency and seamless software releases.

Innovative GitLab professional with a proven track record of elevating collaboration and efficiency through version control and CI/CD automation. Adept at leveraging GitLab's comprehensive features to drive seamless development workflows and deliver exceptional results.

Experience in driving DevSecOps excellence and Expertise in designing, implementing, and optimizing end-to-end DevOps pipelines that seamlessly integrate security practices.

Experienced Git professional adept at orchestrating version control strategies, enabling seamless collaboration and code management. Passionate about optimizing workflows and ensuring code integrity for accelerated development and innovation.

Experienced in Istio orchestration for microservices environments. Proven track record in designing, implementing, and optimizing complex DevOps pipelines, leveraging Istio's service mesh capabilities to enhance scalability, security, and observability.

Proficient in deploying and managing security technologies, including intrusion detection systems, vulnerability assessment tools, and security information and event management (SIEM) solutions.

Experienced monitoring professional adept at implementing advanced monitoring solutions to optimize system performance and enhance operational efficiency. Proven track record in elevating proactive monitoring strategies, ensuring seamless operations and rapid issue resolution

Involved in Automating security testing tools, such as Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST), identify security weaknesses in code and applications throughout the development lifecycle.

Experienced in leveraging AppDynamics, NewRelic, SolarWinds and Dynatrace to enhance application performance and streamline operational efficiency.

Proficient in leveraging a diverse range of monitoring tools, including Prometheus, Splunk, Grafana, and ELK Stack, to provide real-time insights, proactive issue detection, and continuous improvement.

Experienced in developing end-to-end automation workflows, from source code management to continuous integration, testing, and deployment. Seamlessly integrate tools like Jenkins, GitLab CI/CD, and Ansible for comprehensive automation.

Hands-on experience crafting complex automation scripts using Python, Bash, and PowerShell, harnessing their power to streamline deployment, configuration management, and infrastructure provisioning. Proficient in the scripting languages Shell, Ruby, and Perl for CI/CD automation.

Excellent knowledge of YAML files for Ansible playbooks, AWS Cloud Formation Templates, and Ruby for Chef cookbooks and recipes for provisioning Infrastructure as Code (IaaC).

Proficiency in Linux Kernel performance management and optimization work. Built environments utilizing TCP/IP, NIS, NFS, DNS, VSFTP, and DHCP.

Technical skills :

Cloud Environments

Amazon Web Services (AWS), Azure, Google Cloud platform

Configuration Management

Tools

Chef, Puppet, Ansible, Terraform, Saltstack, AWS cloud formation, Azure Resource Manager Templates.

Containerization Tools

Kubernetes, Docker, OpenShift, Docker compose, Podman, Nomad, Amazon ECS,

Google Kubernetes Engine, Azure Kubernetes service, Rancher, Portainer.

Version Control Tools

SVN, GIT, GIT-Hub, Bitbucket, Gitlab, Mercurial, Subversion.

CI-CD Tools

ANT, MAVEN, Gradle, AWS code build, circle CI, Travis CI, GitLab CI/CD, Jenkins, Team City, Bamboo, Azure DevOps, Make.

Web Servers

Apache Tomcat, Web Sphere, Nginx, Microsoft internet information service(IIS), Apache HTTP server.

Bug Tracking Tools

JIRA, Bugzilla, Remedy, Bugzilla, Trello, Gitlab issues, Redmine.

Monitoring Tools

Splunk, Dynatrace, New Relic, Zabbix, ELK, Datadog, Nagios, Grafana, Prometheus, Zabbix, App Dynamics, Graylog.

Databases

Aurora, DynamoDB, RDS, MySQL, MongoDB, SQL Server, MS SQL, Cassandra DB

Virtualization Tools

VMWare ESX/ESXi, Windows Hyper-V, Virtual box, Vagrant

Testing Tools

Selenium, JUnit, Cucumber, Jenkins, Selenium, JUnit, Cucumber, SonarQube, TestNG.

Scripting Languages

Ruby, Perl, Python, Bash shell, PowerShell, Groovy, YAML.

Web Technologies

HTML, CSS, JavaScript, jQuery, Bootstrap, XML

Operating Servers

Red Hat, Ubuntu, Linux, Windows, CentOS, Debian, Mac OS.

Network Protocols

TCP/IP, DHCP, DNS, SNMP, SMTP, Ethernet, NFS.

Professional Experience:

CLIENT: LOWES

Lowe's Charlotte Technology Hub SEP 2022 - PRESENT

Sr DevOps Engineer

Responsibilities:

Utilizing AWS for hosting and scaling e-commerce platforms, including web servers, databases, and content delivery, to ensure a seamless online shopping experience.

Set up CI/CD pipelines with AWS CodePipeline and AWS CodeBuild to automate building, testing, and deploying application code. Leverage AWS Lambda for serverless functions, reducing operational overhead and scaling as needed.

Designing and deploying a multitude of applications Utilizing almost all the AWS stack including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, LAMBDA, REDSHIFT, focusing on high-availability, fault tolerance, and auto-Scaling in Aws cloud formation.

Properly managing OAuth tokens and integrating them into your automation processes is a critical aspect of building a secure environment.

Designing roles and groups for users and resources using AWS Identity Access Management (IAM) and implementing Multi-Factor Authentication (MFA) on externally available servers and AWS Console. Monitoring and alerting leveraging Cloud Watch and Cloud Trail.

Setup and build AWS infrastructure various resources, S3, IAM, EBS, VPC EC2, Security Group, RDS, Auto Scaling.

Deploying containerized applications using ECS to handle varying traffic loads efficiently so it automatically scales the number of container instances up or down based on metrics like CPU utilization or request rate, ensuring optimal performance during peak times and Utilizing EKS to deploy applications across multiple AWS regions, ensuring high availability and disaster recovery.

Distribute incoming traffic across instances in different Availability Zones using Application Load Balancers (ALB) or Network Load Balancers (NLB).

Integrating Maven plugin with Jenkins and configured pipeline job to invoke Maven top-level goals such as compile, test, package, deploy, install, and clean.

Used Jenkins to automate the build process and integrate it with other tools.

Implementing Continuous Integration and Continuous Delivery (CI & CD) Process stack using GitHub, Jenkins, and Chef.

Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes Cluster, Created Pods and managed using Kubernetes.

Developing Terraform templates to build, change, and version Infrastructure as Code (IaC) using Azure as a provider and launching multi-layered resource groups to be provisioned and configured with Terraform template and Implementing processes like metrics, monitoring, and Automate wherever sensible.

tasked with integrating security tools such as Burp Suite Enterprise and Checkmarx into the CI/CD pipeline of a web application project.

Creating Terraform templates for automating VPCs, ELBs, security groups, SQS queues, and S3 buckets, and continuing to replace the rest of our infrastructure, also Converted the existing AWS infrastructure to serverless architecture with AWS Lambda and Kinesis deployed using Terraform templates.

Managing the necessary dependencies(API and JAR files) one with Maven (POM.xml file) including Selenium, JAVA, JUnit, Cucumber, and package.json including Selenium, JavaScript, Chai, Cucumber, NodeJS.

Utilizing Bash and Python to enhance the automation provided by Terraform for activities such

Encrypting EBS disks backing AMIs and scheduling Lambda functions for typical AWS operations.

Creating Docker images, downloading from the Docker Hub and uploading it to the Apple private Docker Repository, and Using docker containerizing and imaging configurations for quick implementation and deployments.

•Writing automation scripts for cluster creation, application deployment, and creating cluster alert configurations.

•Implementing a production-ready, load-balanced, highly available, fault-tolerant, auto-scaling Kubernetes infrastructure and microservice container orchestration.

•Configuring the Blackbox exporter allows Blackbox probing of endpoints over HTTP, HTTPS, DNS, TCP, and ICMP.

• Involves in orchestrating, deploying, managing, and scaling applications within a Kubernetes environment. I am empowered to elevate collaboration, foster consistency, and drive efficiency by harnessing Helm's robustness.

•Using Kubernetes, I have controlled and automated application deployments and updates and orchestrated deployments.

•Involved in the development of test environment on Docker containers and configuring the Docker containers using

Kubernetes.

•Connecting on-premises infrastructure with AWS and GCP creates a hybrid cloud environment, enabling seamless migration and workload management.

•Using CloudWatch to monitor SQS queues, providing metrics and alarms for queue activity.

•Managing local deployments in Kubernetes, creating local Namespace, and deploying application containers.

•Using Kubernetes to orchestrate Docker Containers' deployment, scaling, and management.

•Managing Docker orchestration and containerization using Kubernetes, scaling, and managing Docker Containers.

•Developed microservice onboarding tools leveraging Python and Jenkins, allowing for easy creation and maintenance of build jobs and Kubernetes deploys and services.

•Configured Twistlock for securing containerized applications by identifying vulnerabilities, malware, and configuration issues in the containers t and the images.

•Installed Prometheus Operator in the Kubernetes cluster to monitor the cluster resources and configured alert manager to send alerts to Slack & teams.

•Creating Grafana, Prometheus, Alert Manager, and Blackbox exporter deployments for the Kubernetes cluster helps actively monitor alerts based on the rules configured.

•Implementing and maintaining SolarWinds as a monitoring tool but also aligning it with the broader DevOps strategy to enhance the overall reliability and performance of systems and applications.

•Managing and Monitoring Kubernetes clusters using Prometheus as a data aggregator and Grafana as a data visualization platform

•Actively monitoring and updating resources for the smooth running of the applications in the system.

Environment: Grafana, Prometheus, Blackbox exporter, alert manager, Docker, Kubernetes, GitHub, Jenkins, Yaml.

CLIENT: PILOT COMPANY

Knoxville, TN JAN 2022 – AUG 2022

Sr Cloud Security Engineer

Responsibilities:

•Migrating Services from On-premise to Azure Cloud Environments. Collaborate with development and QA teams to maintain high-quality deployment.

•Worked on escalated tasks related to interconnectivity issues, complex cloud-based identity management and user authentication, service interruptions with Azure Virtual Machines (their host nodes), and associated virtual storage (Blobs, Tables, Queues).

•Configured Azure network settings, Subnets DHCP address blocks, DNS settings, security policies, and routing.

•Maintain a consistent, secure environment using Puppet, Ansible, Amazon Systems Manager, and Packer configuration management solutions. Conduct rigorous oversight of security systems and configuration administration to reduce risk to enterprise systems and accounts.

•Managed Azure Infrastructure Azure Web Roles, Worker Roles, SQL Azure, Azure Storage, Azure AD Licenses, and Office365. Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Portal.

•used to securely store and manage OAuth tokens and other sensitive information used in processes.

•Configured NSGs for two tiers and three-tier applications. Experience in integrating on-premises servers to Azure.

Configured VNETs and subnets as per the project requirement. Configure Azure blob storage and Azure file servers. Configured private and public-facing Azure load balancers.

•Worked with Terraform Templates to automate the Azure Iaas virtual machines using Terraform modules and deployed virtual machine scale sets in the production environment.

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

•Developed an automated deployment tool for dev, UAT, and production environments using Ansible. Allows new services to be deployed and released simply by developers, including an Ansible playbook.

•Used Kubernetes to manage containerized applications using its nodes, Config Maps, selector, Services & deployed application containers as Pods.

•Making deployments of Microservices as containers using containerization tools like Docker and Docker Compose. Docker Swarm and Kubernetes for orchestration and Microsoft Azure to ensure continuous deployments into the different environments.

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

•Converted VM-based applications to Microservices and deployed them as a container managed by Kubernetes.

•Deployed web applications on Azure VMs using web server software like IIS (Internet Information Services) for Windows VMs or NGINX/Apache for Linux VMs hosting websites, web services, and other web-based applications.

•Created additional Docker Slave Nodes for Jenkins using custom Docker Images and Worked on all major components of Docker like Docker Daemon, Hub, Images, Registry, Swarm, etc.

•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.

•Built end-to-end CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests and push build artifacts to Nexus and UDeploy to orchestrate changes across servers and components.

•Implemented branching & tagging strategy to maintain the source code in the GIT repository. Coordinated with developers to establish and apply appropriate branching, labelling/naming conventions using GIT source control.

•Responsible for Setup and integrated Prometheus with Grafana for Monitoring. Used Elasticsearch (ELK stack) for centralized logging and analytics in the continuous delivery pipeline to store logs and metrics in Azure storage using the storage function.

•Determined ways to optimize JIRA and JIRA Agile setup and process workflows and identify where functionality can meet user requests.

•Created Azure PowerShell script for APIM backup and restore operations. Created several SQL scripts as part of bug fixes to provide immediate solutions for some common issues.

•Scheduled and Maintained temporary virtual machines used for testing or batch processing and scheduled an Azure Function to shut down these resources after their intended usage timeframe, freeing up resources for other tasks using Python scripting.

•maintaining SolarWinds as a monitoring tool but also aligning it with the broader DevOps strategy to enhance the overall reliability and performance of systems and applications.

•Involved in setting up Azure Functions to execute a PowerShell script that regularly backs up data from one region to another. Provided data redundancy and backup files from an Azure Storage container to a different location.

•Setting up Nginx, HTTP web server as a reverse proxy to critical applications such as Jira, Jenkins, and Application Server.

•Environment: Azure, GCP, Office 365, Terraform, Maven, Jenkins, Ansible, Docker, Kubernetes, Git, PowerShell, Apache-Tomcat server, Jira, AEM, RHEL, ELK, PowerShell script, Python, Mac OS. m

CLIENT: FIDELITY INVESTMENTS

Boston, MA JULY 2019 – DEC 2021

Cloud security Engineer

Responsibilities:

•Optimized EBS volumes and EC2 instances, created multi Availability Zone VPC instances, maintained the traffic using Route 53 Weight Routing Policies, and used AWS SNS for notifications in the AWS cloud.

•Wrote Lambda functions in Python for AWS Lambda and invoked Python scripts for data transformations and analytics on large data sets in EMR clusters and Amazon CloudWatch for simple metrics monitoring.

•Used security groups, network ACLs, Internet Gateways, NAT instances, and Route tables to ensure a secure zone for organizations in AWS public cloud.

•Wrote Lambda functions in Python for AWS Lambda and invoked Python scripts for data transformations and analytics on large data sets in EMR clusters, AWS Kinesis data streams, and configuration management tools like Kafka.

•Written Terraform templates and Chef cookbooks and pushed them onto Chef for configuring EC2 Instance. Solved Gateway time issue on ELB and moved all the logs to S3 Bucket using Terraform.

•Wrote Ansible Playbooks with Python SSH is used as a wrapper to manage OpenStack node configurations and test playbooks on AWS instances.

•Automated configuration management and deployments using Ansible playbooks and YAML. Created Ansible Playbooks to provision Apache Web servers, Tomcat servers, Nginx, Apache Spark, and other applications.

•Deployment of a Dockerized Rabbit MQ in OpenShift so that we might use the auto-scaling capabilities of OpenShift with a Rabbit MQ cluster.

•Worked on Docker-Compose, and Docker-Machine to create Docker containers for testing applications in the QA environment and automated the deployments, scaling, and management of containerized applications across clusters of hosts using OpenShift.

•Involved in using ansible automation in replacing the different components of OpenShift like ECTD, MASTER, APP, INFRA, and Cluster. Managing the OpenShift cluster that includes scaling up and down the AWS app nodes

•Implemented and built tools like Maven and Gradle to automate and enhance the overall operational environment. Developed build and deployment scripts using Maven and Gradle as build tools in Jenkins on moving from one domain to another environments.

•Responsible for implementing Continuous Integration (CI) and Continuous Delivery (CD) processes using Jenkins, Python, and Shell scripts to automate routine jobs.

•Responsible for installing Jenkins master and slave nodes and configuring Jenkins builds for continuous integration and delivery. Set up and Configured Jenkins for application deployment.

Automated build and deployment process using Bash, Python, and Shell scripts focusing on DevOps tools, CI/CD in Jenkins.

•Written shell scripts with Bash and Python to automate tasks like provisioning servers, installing, configuring packages, and deploying applications on multiple servers in the Prod & Non-prod environments.

•Automated Datadog Dashboards and assisted internal users for Splunk in designing and maintaining production-quality dashboards.

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

Environment: AWS, OpenStack, OpenShift, Git, Maven, Jenkins, Linux, Jira, Chef, Ansible, Docker, Splunk, Python, EC2, S3, EBS, ELB, Opswork, Nexus, Bash, Unix/Linux, Nagios, Datadog. Mac OS.

CLIENT: MAROLIX

Hyderabad, India

Devops engineer MAY 2017 – JUNE 2019

•Involved in designing and deploying a multitude of applications Utilizing almost all the AWS stack including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, LAMBDA, REDSHIFT, focusing on high-availability, fault tolerance, and auto-Scaling in Aws cloud formation.

•Designed roles and groups for users and resources using AWS Identity Access Management (IAM) and implemented Multi-Factor Authentication (MFA) on externally available servers and AWS Console. Monitoring and alerting leveraging Cloud Watch and Cloud Trail.

•Involved in Setup and build AWS infrastructure various resources, S3, IAM, EBS, VPC EC2, Security Group, RDS, Auto Scaling.

•Designed and implemented Azure Cloud Infrastructure using ARM templates, runbooks,

Automation and provisioning process.

•Worked on Azure Cloud Services (PaaS & IaaS), Storage, Web Apps, Active Directory, Application Insights, Logic Apps, Data Factory, Service Bus, Traffic Manager, Azure Monitoring, OMS, Key Vault, Visual Studio Online (VSO), Cognitive Services (LUIS) and SQL Azure.

•Configured Azure Virtual Networks, Azure network settings, Subnets DHCP address

Blocks, DNS settings, security policies, and routing.

•Using the GIT repository for storing Terraform files and maintaining versioning. Converted existing

Terraform modules that had version conflicts to utilize cloud formation during Terraform

Deployments to enable more control or missing capabilities.

•Worked with Ansible as a configuration management tool to automate repetitive processes and

Rapidly deliver essential apps. Implemented the Ansible Tower dashboard and role-based access

Management, making it more straightforward for individual teams to use Ansible for their deployments.

•Automated infrastructure activities like Continuous Deployment, Application Server setup, and Stack monitoring using Ansible playbooks and Integrated Ansible.

•Created and managed a Docker deployment pipeline for custom application images in the Cloud using Jenkins, working on the Docker hub, creating Docker images, and handling multiple images primarily.

•Worked on Docker compose to schedule multiple containers and written compose .yml files to configure and scale numerous application services.

•Created Docker images using a Docker file, worked on container snapshots, removed images, and managed Docker volumes.

•Deployed Kubernetes Cluster on cloud/on-premises environments with master/minion architecture and wrote many YAML files to create many services like pods, deployments, auto-scaling, load balancers, labels, health checks, Namespaces, and Config Msap.

•Deployed Kubernetes container application using Azure Kubernetes Service (AKS), ACS, Azure CLI, Azure Active Directory, Azure Virtual Network, Azure Storage, and Azure Database for MySQL.

•Created a private cloud using Kubernetes that supports DEV, TEST, and PROD environments.

•Developed build & deployment scripts using Maven. Automated the process using plugins available in Jenkins and moved from one environment to another throughout the build pipeline.

•Involved in the installation, configuration, and maintenance of Jenkins for compiling and packaging new code releases.

•Wrote Groovy scripts to set up job DSL within Jenkins, develop Jenkins Pipeline jobs, and set up upstream and downstream projects.

•Worked on branching, tagging, and maintaining versions across the environment using SCM tools like GitHub, primarily used script to write applications, and worked to manage source code.

•Build release of Cloud-based products containing Linux and Windows environments using Python Scripting.

•Automated the cloud deployments using Puppet, Python (boto & Fabric), and AWS Cloud Formation Templates.

•Designed PowerShell scripts for VM Machines, VM Host, and SQL Reporting.

•Shell/Python and PowerShell scripts for automated deployments on Windows environments.

•Responsibilities included managing and creating

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