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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLEPHONE NUMBER AVAILABLEProfessional SummaryOver 9+ years of IT industry experience as a DevOps Engineer in the United States.Specialized in Python Development, Build/Release management, Linux Administration, CI/CD, CM, SCM, and orchestration tools.Write automated tests for your mobile app to ensure its functionality, performance, and security. These tests can include unit tests, integration tests, and UI tests.Define your mobile app's infrastructure (e.g., servers, databases, APIs) as code using tools like Terraform or AWS CloudFormation. This allows you to provision and manage infrastructure in a repeatable and automated manner.Implement continuous deployment pipelines to automatically deploy your mobile app to production after passing all tests and approvals. This minimizes manual intervention and reduces time to market.Hands-on experience with AWS, Azure, OpenStack, Grafana, and PCF. Effective communicator with a track record of training and supporting team success.Proficient in Terraform, Docker, Kubernetes, various scripting languages, and monitoring tools.Demonstrated expertise in successfully completing challenging assignments within tight timelines.Hands-on experience with various AWS services such as EC2, S3, RDS, EBS, VPC, IAM, ELB, NACL, SQS, SNS, SES, CloudWatch, CloudFormation, Route53, Lambda, and more.Proficient in configuring and managing Artifactory repositories for efficient artifact storage, version control, and dependency management in a DevOps environment.In-depth practical knowledge of other cloud services like Azure, GCP, and OpenStack.Solid understanding of Cloud Environments like AWS, Azure, and PCF Pivotal Cloud Foundry.Proficient in object-oriented programming languages such as C, C++, C#, with experience in MS SQL Server, ASP.NET, MVC, and ORM frameworks.Manage AWS S3 account, Redshift, and RDS cluster creation, and execute data migration between different AZs.Extensive experience in Enterprise Application Integration, facilitating seamless communication and data exchange between diverse applications and systems.Expertise in working with Terraform key features such as Infrastructure as a code, Execution plans, Resource Graphs, change automation and extensively used Auto scaling launch configuration templates for launching amazon EC2 instances while deploying microservices.Created RDS database instances for Postgres SQL in AWS and MongoDB clusters using EC2 and VPC, launched via CloudFormation templates.Used AWS Beanstalk for deploying and scaling web applications and services developed with Java, PHP, Node.js, Python, Ruby, and Docker on familiar servers like Apache, Nginx, Tomcat, and JBOSS.Deployed numerous Virtual Machines (VMs) on Azure and worked on services like Azure Active Directory, Blob/File/Table/Queue storages, and Azure SQL Database.Designed Terraform for cloud deployment manager to spin up resources like cloud virtual networks, Compute Engines in public and private subnets, along with Auto-Scaler in Google Cloud Platform.Designed, architected, and implemented scalable cloud-based web applications using AWS and GCP.Set up GCP Firewall rules to allow or deny traffic to and from VM instances based on specified configurations. Utilized GCP cloud CDN for content delivery, significantly improving user experience and latency.Integrated Automated Build with Deployment Pipeline, installing Chef Server and clients to pick up builds from Jenkins repository and deploy in target environments (Integration, QA, and Production).Technical Skills:Server OperatingMS Windows Server/Exchange Server (2000/2003/2008/2008 R2/2012), Red Hat Linux (Enterprise Linux 4/5/6), UBUNTU, SUSE 8/9/10.VirtualizationV Sphere 6.7/6.5/6.0/5.5/5.1/5.0/4.0 / 4.1, ESXI/Esxi server 5.0/4.1/4.0, V Sphere Client, V Center, V Motion, VM ware Update Manager, VMware Tools, VMware NSX, VMware Converter, DRS, HA & FT and Microsoft Hyper-V.CloudAWS, Azure, Google Cloud Platform (GCP), Open stack, PCF.Container ToolsDocker, Kubernetes, EC2 Container Service.CI/CD ToolsJenkins, Bamboo, Azure CI/CD, Octopus Deployment.Version ControlGIT, GitHub, GitLab, Subversion (SVN), Perforce, Bit Bucket.DatabaseMS-SQL Server 2000/2005/2008 and Oracle 8/9i/10g/11i, IBM DB2.ScriptingVB Script, PowerShell, Perl and Power CLI, Python, Shell, Bash, YAML, Ruby, Groovy.AntivirusSymantec Endpoint, Norton Antivirus and McAfee.HardwareCisco UCS, IBM Blades 360 M3, LS 20, HP Blades BL685, 680, 460, Dell Power Edge Servers & Desktops GX Series, HP DC 7900/8000 Desktops.Monitoring ToolsSplunk, ELK, Cloud Watch, Nagios, Splunk: 5.x and 6.x, Splunk Enterprise, Splunk web Framework, Prometheus, GrafanaStorageDAS, NAS (NFS), SAN and ISCSI.BackupsVERITAS Netback up, TSM, Avamar and Windows NT Backup.Professional Experience:American Express Phoenix, AZSr. DevOps Engineer Jan 22 Till DateResponsibilities:Built AWS infrastructure resources using CloudFormation, involving VPC, EC2, S3, IAM, EBS, Elasticsearch, Security Group, Auto Scaling, Lambda, and RDS.Wrote Ansible Playbooks with Python SSH for AWS Node configurations.Utilized Terraform for automating VPCs, ELBs, security groups, SQS queues, S3 buckets, and other infrastructure resources.Automated code quality tools using Jenkins in CI/CD pipelines.Utilized Ansible, AWS Lambda, Elastic Cache, and CloudWatch logs for log aggregation pipeline automation.Implemented and maintained configuration management tools such as Ansible or Puppet to automate infrastructure provisioning, configuration updates, and ensure consistency across environments.Designed and implemented automated deployment pipelines, integrating Artifactory repositories and leveraging configuration management tools to ensure efficient and reliable application deployment.Used CloudFormation and Terraform to deploy application architecture into AWS Environments.Managed user administration, system performance monitoring, and network bandwidth using Nagios and CloudWatch.Leveraged Terraform and AWS CloudFormation to define and manage mobile app infrastructure, enabling consistent and repeatable deployments across multiple environments while reducing manual configuration errors.Established CI/CD practices for mobile app development, integrating code repositories with automated testing frameworks (e.g., XCTest, Espresso) and deployment tools (e.g., Bitrise, Azure DevOps), resulting in faster time-to-market and higher-quality releases.Led the deployment and management of Elastic Kubernetes Service (EKS) on AWS, overseeing scalable and resilient containerized applications.Containerized mobile app components using Docker and orchestrated deployments with Kubernetes, optimizing resource utilization and scalability while ensuring consistent runtime environments.Configured and optimized EKS clusters for efficient resource utilization, high availability, and seamless scalability to meet dynamic workload demands.Used terraform to write Infrastructure as code and created Terraform scripts for EC2 instances, Elastic Load balancers and S3 buckets.Automated OpenStack and AWS deployment using Cloud Formation, Ansible, Chef and Terraform.Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments and defined Terraform modules such as Compute, Network, Operations, and Users to reuse in different environments.Demonstrated expertise in CentOS administration, including installation, configuration, and ongoing maintenance of CentOS servers, ensuring strong and secure infrastructure.Deployed, scaled, load balanced, and managed Docker containers with Kubernetes.Installed and configured Apache Web server.Implemented Infrastructure as Code principles for Kubernetes configuration using Helm and Kustomize.Automated the provisioning and scaling of Kubernetes resources to maintain consistency across environments.Integrated Kubernetes into CI/CD pipelines, automating deployment, scaling, and rolling updates for containerized applications.Implemented blue-green and canary deployment strategies in Kubernetes to minimize downtime during updates.Configured monitoring tools like Prometheus and Grafana to observe Kubernetes cluster health and performance.Coordinated release activities with cross-functional teams, including developers, QA engineers, and product managers, to deliver feature-rich mobile app updates on schedule and within budget.Deployed content cloud platform on Amazon AWS using EC2, S3, and EBS.Coordinated operational activities with integration teams, including LDAP, Layer 7 systems, MQ, banking systems, and Content systems. Registered client servers to Red Hat Satellite Server.Managed UNIX server services: Bind DNS, Puppet, Postfix, Apache, Tomcat, MYSQL.Experienced in Red Hat Package Management (RPM) and YUM installations.Proposed, installed, and configured SolarWinds Log and Event Manager and Orion modules for network infrastructure monitoring.Integrated Docker containers into CI/CD pipeline for enhanced performance.Installed applications on AWS EC2 instances and configured storage on S3 buckets. Assisted in deploying AWS.Participated in planned activities such as Patching, File System maintenance, Hardware changes, Firmware/Driver upgrades, etc., on Linux/Unix Windows servers.Implemented IAM for creating accounts, roles, and groups. Implemented lifecycle management for RedHat Linux using Amazon EC2, Chef, and custom scripts.Source control management with GitHub and GitLab repositories.Installed and configured Veritas cluster, managed kernel parameters, NIC bonding, and RPM installations for DB servers.Part of migration team from SUSE, AIX servers to Red Hat 6 & 7.Maintained server lifecycle - build, patching, upgrades, and decommissioning.Deployed and monitored scalable infrastructure on AWS with configuration management.Installed, maintained, and upgraded OS (Linux, UNIX, CentOS) and other software on servers.Automated deployment and configuration using Ansible and Puppet.Designed, configured, and deployed Microsoft Azure WVD for various applications.Hands on experience in azure development, worked on azure web application, app services, azure storage, azure SQL database, virtual machines, fabric controller, azure ad, azure WVD search, and notification hub.Expertise in Microsoft Azure cloud services (PAAS & IAAS), application insights, document DB, IoT, monitoring, key vault, VSO, and SQL Azure WVD.Troubleshooting and configuring Linux Ethernet Bonding.Part of L2/L3 Support team for configuring Linux network services.Conducted functional and regression testing on new features in OpenStack and NFV.Maintained and upgraded OpenStack environments.Experience with source control tools: Subversion (SVN), CVS, IBM ClearCase, Perforce, and GIT.Worked on Splunk DB Connect for importing and indexing data from the database.Installed and configured DHCP Client/Server on AWS EC2 instances.Experienced in using build and automation tools like ANT and Maven.Environment: GitHub (GIT)), Splunk, Python, Java, CA Release Automation, Service now, Nolio, Bamboo, JIRA Shel, XML, Linux, Splunk Universal forwarder, Docker, Tomcat, Apache, My SQL, PCF (Pivotal Cloud Foundry), AWS, Selenium, ASP.NetGi Lead, CaliforniaSr. DevOps Cloud Engineer Feb 18 - Dec 21Responsibilities:Design, deploy, manage, and operate scalable, highly available, and fault tolerant systems on AWS/AZURE and traditional private cloud virtual environments.Hands on experience in azure development, worked on azure web application, app services, azure storage, azure SQL database, virtual machines, fabric controller, azure ad, azure WVD search, and notification hub.Designed, configured, and deployed Microsoft azure WVD for a multitude of applications utilizing the azure stack (including compute, web & mobile, blobs, resource groups, azure SQL, cloud services, and arm), focusing on high - availability, fault tolerance, and auto-scaling.Worked on various Docker components like Docker Engine, Hub, Machine, Docker Compose, and Docker Registry.Demonstrated proficiency in EKS container orchestration, covering pod deployment, scaling, monitoring, and troubleshooting within Kubernetes clusters.Implemented Infrastructure as Code (IaC) for EKS infrastructure using tools like Terraform or AWS CloudFormation, ensuring reproducibility and version control.Created Docker images and managed multiple images primarily for middleware installations and domain configurations.Implemented DevOps practices for Micro Services Architecture using Kubernetes as an Orchestrator, orchestrating the deployment, scaling, and management of Docker Containers.Expertise in Microsoft azure cloud services (PAAS & IAAS), application insights, document DB, internet of things (IOT), azure monitoring, key vault, visual studio online (VSO) and SQL azure WVDImplemented hybrid cloud solutions connecting on-premises data centers to Azure.Executed Azure Site Recovery for robust disaster recovery planning.Integrated Azure DevOps for end-to-end CI/CD pipelines.Implemented service mesh technologies like Istio to enhance observability, security, and traffic management in Kubernetes.Managed microservices communication through service mesh features.Configured auto-scaling in Kubernetes to dynamically adjust running instances based on demand.Conducted resource optimization to ensure efficient utilization of compute resources within Kubernetes clusters.Implemented disaster recovery plans and strategies for business continuity in case of Kubernetes cluster failures.Built Terra grunt project to manage Terraform configuration file DRY while working with multiple terraforms modules and worked with Terraform Templates to automate the Azure IaaS virtual machines using terraform modules and deployed virtual machine scale sets in production environment.Ensured consistent and repeatable Azure resource provisioning.Enhanced collaboration and streamlined development processes.Utilized Azure Security Center for advanced threat protection.Designed, deployed, and managed scalable, highly available, and fault-tolerant systems on AWS/Azure and traditional private cloud virtual environments.Hands-on experience in Azure development, working on various Azure services.Implemented Azure Policy for governance and compliance automation.by pointing to Orchestration and UI layer Repositories in GitHub/Subversion.Involved in Migration of CI tool from Hudson to Jenkins.Create, maintain and administrating GitHub and Subversion repositories as source code managements.Created end to end automation of Continuous Deployment and Configuration Management in U-Deploy.Extensively worked on Puppet which includes Installing puppet master, agents, writing manifests and pushing them to agents for CI and CD.Strong object-oriented design skills and strong analytical capabilitiesSet up and maintained Logging and Monitoring subsystems using tools like; Elasticsearch, Fluent, Kibana, Prometheus, Grafana and Alert manager.Good knowledge and experience in using Elasticsearch, Kibana and fluent, CloudWatch, Nagios, Splunk, Prometheus and Grafana for logging and monitoring (Prometheus, graphite, Grafana).Established infrastructure and service monitoring using Prometheus and Grafana.Worked on GKE Topology Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers GKE Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers.Environment: AWS, Azure, Terraform, GitHub (GIT)), Maven, Hudson, Splunk, CA Release Automation, Service now, Jenkins, Shell, Perl, XML, Ruby, Linux, Selenium, Apache, My SQL, Prometheus, Grafanas, Perl, Python, .Net Framework 2.0, ASP.NetPG&E - CaliforniaLinux DevOps Engineer Jan 15 Jan 18Responsibilities:Deployed Active/Active MySQL clusters using RedHat Cluster Suite, automated tasks with Shell and Perl scripts.Implemented Continuous Delivery using Bamboo, Chef, Maven, Nexus, and created Ansible playbooks for OpenStack.Implemented cluster services using Kubernetes and Docker to manage local deployments in Kubernetes by building a self - hosted Kubernetes cluster using Terraform and Ansible and deploying application containers.Breaking down the HPOO flows and tracking down which can provision in Terraform.Migrating the HPOO to the Terraform.Written automation scripts for creating resources in OpenStack cloud using Python and terraform modules.Deployed Java applications on web servers, utilized Veritas Volume Manager on Sun Solaris.Coordinated WebSphere Application Server installation, managed VMware ESX 4.x for virtualization.Performed Configuration Management with Puppet & Chef, set up Private Chef Supermarket for sharing custom Cookbooks.Established Logging and Monitoring subsystems with tools like Elasticsearch, Fluent, Kibana, Prometheus, Grafana.Contributed to Python library deploying k8s clusters, developed Kubernetes manifests and helm charts.Setup Ansible control machine, worked with middleware technologies including WebLogic and .Net.Installed/administered applications in Unix, Linux, and Windows environments, including debugging.Experience with Linux systems, large-scale virtualization, Linux Containers (LXC), and Docker.Worked on Docker ecosystem (Docker machine, Docker Compose, Docker Swarm) and monitored containers with Prometheus.Used Elastic Stack (ELK) for validating operational status, examining metrics, synthetic transactions, and log files.Managed 1500 RHEL7 servers, utilizing PXE and Kickstart for automated build processes.Configured Azure solutions with Azure Resource Manager and managed VMware ESXi.Used Provisioners in Terraform to execute scripts.Integrated Hashi corp Vault via Terraform.Collaborated on automation, deploying Jenkins for CI/CD and Docker for custom container images.Automated cloud application deployments and migrated Active Directory in Windows servers.Utilized Nagios for monitoring, Elasticsearch for logging, and provided engineering for HPC environments.Configured SSL certificates, DNS, and Apache Kafka, managing RHEL OS on HPC clusters.Acted as Release Manager in DevOps processes and collaborated on CP4I elements.Administered Unix Servers (SUSE, Red Hat Linux, CentOS) and implemented Jenkins with Ant for Java projects.Environments: Azure, Chef, Chef Automate, Ansible, Jenkins, Docker, Kubernetes, Terraform, ASG, ELB, ANT, Maven, Python, Shell, Splunk, ELK (Elastic search, Logstash, Kibana), Python GIT, Docker Swarm, Jira, VMware, Vagrant, Virtual Box, RedHat, Ubuntu.Education:Bachelor of Technology in Information TechnologyJawaharlal Nehru Technological University |
