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Click here or scroll down to respond to this candidateCandidate's Name
LinkedIn-Profile PHONE NUMBER AVAILABLE EMAIL AVAILABLEPROFESSIONAL SUMMARYDevOps/Cloud engineer with 4+ years of hands-on experience in designing, implementing, and maintaining Continuous Integration and Continuous Delivery (CI/CD) pipelines in multi-could platforms (AWS, Azure). Proficient in automating build, release, and deployment processes using tools like Jenkins, GitHub, Azure DevOps, Docker, and Kubernetes. Experienced in using Terraform to provision and manage infrastructure as code (IaC) for cloud environments, ensuring scalability, reliability, and cost-efficiency. Hands on experience in migrating microservice workloads using Docker and Kubernetes. TECHNICAL SKILLSOperating system Windows2016/2019/2022, Linux (RedHat 7/8, CENTOS 7/6& SUSE), Ubuntu 20.04 Programming/WebTechnologiesJava (Node.js), HTML, CSS, PHP, Angular.Application Servers Web Logic Application server 9. x, 10.x, Red Hat JBoss 4.22, Apache TomEE. Automation Tools Jenkins, Chef, Puppet, Ansible, Vagrant, Terraform, JMeter, Cloud Formation, ARM Templates, VSTS, GitHub Actions.Version control tools GIT, Subversion, CVS, Bitbucket, TFS, Mercurial Web servers APACHE Tomcat, JBOSS, Web Logic (9/10), Nginx, Azure, IIS Networking/Protocol DNS, DHCP, WAN, TCP/IP, NFS, SMTP, LAN, FTP/TFTP, routers/switches, SDN Scripting Perl, Python, Ruby, Bash shell, Power shell, JSON, Groovy Virtualization Technologies VMWare vSphere, Windows Hyper-V, VirtualBox, Vagrant Cloud Environments Open stack, AWS, Azure, Pivotal Cloud Foundry (PCF), GCP Containerizationand OrchestrationDocker, Kubernetes, AKS, EKS, ECS, ACS, Apache Mesos, Podman, OpenShift Database Cassandra, Oracle MySQL, MongoDB, AWS RDS, DynamoDB Monitoring Tools Splunk, Prometheus, Grafana, Graylog, Cloud Watch, Nagios, New Relic, ELK Stack ExperiencesResponsibilities:Experience in working with Azure Services including Virtual Networks, Virtual Machines, Resource Groups, VPN, Azure DNS, Network Peering, Load Balancing, Application Gateways, Azure Web Application, App Services, Auto-Scaling and Traffic Manager.Worked on Azure DevOps and utilized Azure Boards for Agile practices, Azure Repos for Source Code Management, Azure Pipelines/Releases for CI/CD, Artifacts to store the build artifacts.Created a private connection using Azure Express Route to access microsoft cloud services like Microsoft Azure, Dynamic 365, Subnets, DHCP Address Blocks, Azure Network Settings, DNS Settings, Security Rules, and routing have all been configured for Azure Virtual Networks. Azure Cloud-to-Cloud Integration (Public, Private), security, and API management.Managed Azure Compute Services, Auto Scaling, Elastic Load Balancing, Horizontal and Vertical Scaling, VM Scale Set, Application Gateway, Network Security Group, Web Role, Worker Role, Scaling/ Management.Managed migrating SQL Server databases to SQL Azure Database using SQL Azure Migration Wizard and used Python API to upload agent logs into Azure Blob Storage.Built an application environment to operate at high availability in different Azure regions by using CDN, Azure Traffic Manager, App Services-Web Apps, Active Directory, Storage Queues, Cognitive Services, Azure Search, Storage Blobs, Redis Cache, and SQL Database.Worked on Jenkins, GitHub, Puppet, JFrog Artifactory and all internal build systems to support development teams.Provisioned Azure Resources of different providers Network, Service Fabric, using ARM Template and implemented and maintained Dev, Test, Staging, and Production environments leveraging Infrastructure As Code (IAC) using Azure ARM Templates (Infrastructure As Code, JSON / YAML config).Created Terraform templates for provisioning Virtual Networks, Subnets, VM Scale Sets, Load Balancers and NAT rules and used Terraform graph to visualize execution plan using the graph command.Extensively involved in Infrastructure As Code (IAC), execution plans, resource graph and change automation using Terraform and wrote new plugins to support new functionality in Terraform.Created and maintained Continuous Integration (CI) using tools like Azure DevOps (VSTS) over multiple environments to facilitate an Agile Development process which is automated and repeatable, enabling teams to safely deploy code in Azure Kubernetes Services (AKS) using Azure DevOps by YAML scripting.Developed and designed Azure DevOps pipelines to manage the resources across multiple subscriptions in Azure. Worked on creation of Self Hosted Agent Pools in Azure DevOps to run secure pipelines. LABCORP Durham, NCRole: Cloud DevOps Engineer Aug 2022 to PresentPerformed infrastructure deployment and configurations using Ansible and Terraform Code through Azure DevOps.Created cloud modules for interacting with Azure services which provides the tools to easily create and orchestrate infrastructure on Azure and automated Cloud-Native Applications in Azure using Azure Microservices such as Azure Functions and Azure Kubernetes Services.Experience in building and deploying the application code using Kubernetes CLI like Kubectl, Kubelet, Kubeadm, Kubespray and schedule cron jobs using Kube-Scheduler. Managed K8s Charts using Helm and created reproducible builds of the Kubernetes Applications.Experience in deploying Kubernetes Cluster on Azure Cloud with control/compute architecture and wrote many YAML files to create many services like Pods, Deployments, Auto-Scaling, Load Balancers, Labels, Health Checks, Namespaces, Config Maps.Developed Ansible Playbooks to manage web applications, environment configuration files, users, mount points, and packages. Customized Ansible modules for finding facts about Azure Monitor Alarms and taking actions to manage those alarms during deployments.Defined and implemented the GitHub branching strategies, GitIgnore, code reviewers, code approvers with respect to the environment when using the scripts that support Ansible scripts, Python scripts.Integrated Prometheus with Alert Manager to set up sophisticated alerting workflows, routing and also implemented Prometheus for collecting Metrics across various Microservices, Applications, and Infrastructure.Managed User Roles and implemented SSO in Grafana to enhance Security and ease of access and configured Alert rules and notification channels in Grafana for real-time monitoring of system Health and Performance.Administered RedHat Linux servers for several functions including managing Apache/Tomcat server, Mail server, MySQL database and firewalls in both development and production environments Responsibilities:Experience in infrastructure development and operations with a focus on AWS relational databases such as Aurora, MYSQL, MSSQL, NoSQL Database and DynamoDB, as well as EC2, IAM, EBS, ECS, S3, Glacier, VPC, Red Shift, RDS, SES, ELB, Auto Scaling, CloudWatch, Cloud Front, Cloud Formation, Elastic Cache, SNS, SQS, Lambda, and ROUTE 53.Involved in analysis, architecture design and creation of AWS Virtual Private Cloud (VPC), Elastic Compute Cloud (EC2 instance), FTP Server with Elastic IP, AWS Load Balancer, sending email and Pager Duty services when new instances launch using Cloud Watch.Proficient with AWS CloudFormation, API Gateway, and AWS Lambda for automation and infrastructure security, as well as knowledge with utilizing AWS Code Commit, Code Build, Code Deploy, and Code Pipeline for CI/CD development on AWS environments.Used Docker microservices and automated deployment pipelines and built jobs for Web-Mobile user application services through CI/CD pipelines on AWS EC2 with ECS, ECR. Deployed Web-Mobile user application microservices using Node.Js, Ruby, Python on AWS Elastic Beanstalk with AWS S3, PostgreSQL RDS, and VPC.PIXELCRAYONS Delhi, India.Role: DevOps Application Engineer Mar 2020 to Jun 2022Worked on AWS EC2 instances, configured Elastic IP & Storage using AWS S3. Used AWS CloudFront to deliver content from AWS Edge Locations to users, allowing for further reduction of load on front-end servers.Provisioned the highly available EC2 instances using Terraform and Cloud Formation templates, wrote new plugins to support new functionality in Terraform and involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services.Automated provisioning and repetitive task using Terraform and Python, Docker Container, Service Orchestration. Implemented GIT to keep track of all changes in source code.Worked on implementing clusters using Kubernetes and worked on creating Pods, Replication Controllers, Namespaces, Deployments, Labels, Health Checks, Ingress resources and controllers by writing YAML files, integrated them using Calico SDN (software defined networking) and used Heapster monitoring platform on Kubernetes to report detailed resource usage information.Deployed many Kubernetes Clusters on AWS and Azure, implementing Blue/Green Deployments for those clusters.Worked in all areas of Jenkins in setting up CI for new branches, build automation, plugin management and securing Jenkins and setting up Master/Slave configurations.Developed Kubernetes manifests for various applications like Cassandra, Grafana, Prometheus, Kafka and setting up Kubernetes clusters for running microservices and pushed microservices into production with Kubernetes backed Infrastructure.Integrated Jenkins with Docker container using CloudBees Docker Pipeline Plugin to drive all micro- services builds out to the Docker Registry.Worked on multiple areas of Jenkins like Plugin Management, Securing Jenkins, Performance Issues, Analytics, Scaling Jenkins, Integrating Code Analysis and Test Phases to complete the CD pipelines within Jenkins.Implemented Jenkins pipeline jobs to create AWS Infrastructure from GitHub repositories containing Terraform code and created on-premises active directory authentication using automation with Ansible Playbooks.Created, managed, and performed container-based deployments using Docker images in the Docker Hub Container Middleware Applications together and evaluated Kubernetes for Docker Container Orchestration.Created Ansible roles in YAML and defined tasks, variables, files, handlers, and templates. Created inventory and configured the ansible files for parallel development in Ansible for automating the continuous delivery process.Experience in troubleshooting /debugging application code errors during deployment/migration.Configured GitLab with AWS and OpenStack to automatically launch instances whenever required depending on the incoming traffic. Also, built, and managed private clouds with OpenStack.Deployed and configured Elastic Search, Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.Designed and implemented an automated Linux (Centos, Amazon) infrastructure using AWS and moving existing applications. Performed the Linux Kernel and operating system upgrades on the server.Scheduled Cron Jobs, Systems Backup, and Linux OS Installation by Setting up Kickstart File, installed VM Tools and assigned new Virtual Network Adapter in virtualization environments, VCenter and NUTANIX. |
