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Click here or scroll down to respond to this candidateCandidate's Name
Email ID: EMAIL AVAILABLEContact# PHONE NUMBER AVAILABLEDevOps EngineerPROFESSIONAL SUMMARY:A highly accomplished IT professional with 5 years of hands-on experience within architecting, automating, optimizing, and supporting mission critical deployments in AWS, Azure and GCP. Proficient with Configuration management tools and developing CI/CD pipelines.AWS DevOps Engineer with experience in Services, Design, Operations, Configuration, and Development of Cloud- based applications in Enterprise systems.Good Hands-on experience on implementing and managing Cloud Solutions using various AWS Services including EC2, Elastic Load Balancer, Auto Scaling, VPC, Security Groups, NAT, NACL, IAM, S3, Lambda, Cloud Formation, Cloud Watch, Cloud Trail, Route 53, Code Pipeline, Code Build, Code Deploy, RDS, SNS, SES, etc.In-depth knowledge of DevOps management methodologies and production deployment which include Compiling, Packaging, Deploying and Application Configurations.Worked on designing, implementing, deploying scalable, highly available, cost effective, secured and fault tolerant applications and architectures on AWS.Hands-on expertise with source code management systems Git and Code Commit, as well as integrating Git with Jenkins and Code Pipeline to deploy code via Continues Integration (CI) Continues Deployment (CD) pipelines.Administration of various environments in software development life cycle (SDLC) Windows, Ubuntu, Red Hat Linux, SUSE Linux, and CentOS. Experience supporting Ansible Environment with multi servers and involved in developing manifests.Worked on Configuration and monitoring distributed and multi-platform servers using Ansible. Defined Ansible Server and workstation to manage and configure nodes. Developed Ansible Playbooks to manage systems configuration.Expertise in Developing Automation and Processes to enable teams to Deploy, Manage, Configure, Scale and Monitor the Applications in Cloud.Experienced in building CI/CD pipelines on AWS environment using AWS Code Commit, Code Build Code Deploy,Code Pipeline and Cloud Formation to deploy various Java and Python based applications.Adept at building deployment and automation solutions using shell scripting. Expertise in scripting languages including Shell, PHP, Python, and Perl scripts. Proficient in UNIX shell scripts and PowerShell scripts for software automation.Interpersonal, initiative, analysis, and leadership skills. Demonstrated ability to work efficiently in both individual and team environments.Available for 24x7 production computing environments and weekend on-call support.Automated build processes through Jenkins and streamlined code releases by pushing code to GitHub.Developed Python and shell scripts for automating the build and release process.Hands on experience in configuring and maintaining various Webservers like Apache and App servers like Tomcat, Web Logic, JBoss.Experienced in branching, tagging, and maintaining version control using SCM tools such as GIT, Subversion (SVN), CVS, Perforce, IBM ClearCase, and TFS on both Linux and Windows platforms.Proficient in Build Automation tools and Continuous Integration concepts using Jenkins, Bamboo, Hudson, Splunk, TeamCity, Quick Build, Build Forge, Maven, ANT, and Gradle. Extensive experience in creating Jenkins CI pipelines. EDUCATION:Bachelor of Science: Computer and Information Sciences, Karunya University - Coimbatore, India.Masters: Information Science, Trine University - Angola, IN. TECHNICAL SKILLS:Continuous Integration/Deployment Jenkins/Hudson, Bamboo, Gitlab CI Configuration Management Tools Ansible, Chef, Terraform Continuous Monitoring Tools Splunk, Elasticsearch-Logstash Kibana (ELK) Cloud Technologies AWS, GCP, AzureContainer Orchestration Tools Amazon ECS, Kubernetes, Docker Swarm Build Tools Maven, Ant, GradleVersion Control GitHub, Git Lab, Bitbucket, SVNArtifact Repositories Nexus, Artifactory, JFrog, Docker Hub Scripting Languages SQL, Bash Shell, Groovy, Python, Windows PowerShell Code Quality/Code coverage tools SonarQubeDatabases/ETL MySQL, MSSQL, MongoDBChange Management Tools JIRA, ServiceNow, Cherwell, Confluence Web Application Servers Apache Tomcat, NginxWORK EXPERIENCE:DevOps Engineer June 2023 Till DateDCAS, New York City, NYWorked on AWS services EC2, IAM, S3, Lambda, CloudWatch, CloudTrail, Redshift, Dynamo DB, SNS, SQS, SES, EMR, Elastic Bean stalk, VPC, ELB, RDS, EBS and Route 53.Proficient in Linux operating system administration, including CentOS, Ubuntu.Worked on Amazon AWS Cloud Administration which includes services like: EC2, S3, Glacier, EBS, VPC, ELB, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, CloudFormation, OPS Works, Security Groups.Worked on Continuous Integration (CI) and Continuous Delivery(CD) pipeline using Jenkins, GIT. Worked on Maven tool to build war and jar files.Managing ongoing updates and configuration changes to Application running on AWS Cloud environment using deployment pipeline tools such as Jenkins, Ansible, Docker, Kubernetes and Terraform.Setting up and deploying the code into new AWS Environments and monitoring the environments to make sure no error occurs.Work with operations teams to ensure their applications and services are highly available and performant.Perform code reviews, evaluate implementations, and provide feedback for tool/applications improvements.Collaborate with stakeholders and translate business objectives into technical strategies and document the technical details to make enhancements and add new features.Responsible for automating the processes where possible and proposing new tools when needed.investigating a variety of incidents, tracking down problems, figuring out their causes, and resolving them in live systems.Worked on Configuration Management tools to manage and configure multiple target nodes from manager node.Worked on Containerization Software to create Containers, deploy and run applications. Used Kubernetes to manage the docker containers.Used SonarQube for continuous code quality, code coverage and code review.Experience in using Tomcat and Apache web servers for deployment and for hosting tools.Worked on hosting web applications in Cloud with high availability along with Security best practices and availability monitoring of the systems and applications.Infrastructure automation using Terraform.Managed PostgreSQL databases, handling backups, recovery, and upgrades. Developed Lambda functions to aggregate data and store results in Amazon DynamoDB and S3.Worked with container-based technologies like Docker, Kubernetes, and OpenShift. Played a key role in managing clusters on AWS.Actively participated in CI/CD pipeline creation using Jenkins and other DevOps tools, fostering configurable and scalable DevSecOps adoption.Developed Shell, Perl, and Python scripts to automate various processes, significantly enhancing the efficiency of build tools such as Build Forge.Created Windows Power Shell scripts to automate user credential settings and Windows activation, contributing to the transition of project teams to the Scrum methodology using TFS.Proficient in Groovy, Hibernate/GORM, and Spring Framework.Experienced in cloud provisioning tools such as Terraform and CloudFormation.Developed REST APIs using Node.js and Express.js, interacting with PostgreSQL databases.Established infrastructure and service monitoring using Prometheus and Grafana, ensuring system reliability.Created CI/CD pipelines to deploy Terraform configuration using Azure DevOps (ADO) Pipelines for building Infrastructure. Utilized Terraform and Resource Manager templates as well as Azure Kubernetes Service to deploy a managed Kubernetes cluster on Azure.An AKS cluster was also built in the Azure portal using the Azure CLI.Designed and implemented CI/CD pipelines using Azure DevOps Services for automating the build, test, and deployment processes.Deployed and managed infrastructure on Azure using ARM templates and Terraform, ensuring scalability, high availability, and security.Orchestrated containerized workloads using Kubernetes on Azure Kubernetes Service (AKS), optimizing performance and resource utilization.Implemented infrastructure monitoring and alerting solutions using Azure Monitor and Log Analytics, enabling proactive incident management and performance optimization.Extensively involved in Linux/Unix system administration, system builds, server builds, and patch management. Environment: AWS, Java, Docker, Jenkins, JIRA, VPC, NAT, IAM, S3, EC2, Cloud Watch, Web Servers, ELB, ASG, Cloud Front, EC2 containers, Lambda, Groovy, Active directory, Shell Scripts, Red Shift, Cloud Watch, Cloud Formation, Cloud Trail, Cloud Front, Chef, Python, MySQL, PostgreSQL, MariaDB, Cassandra, Amazon RDS, DynamoDB, Elasticsearch, Log stash, Kibana, Kubernetes, VMware, Azure, AKS. AWS DevOps Engineer Nov 2021 May 2023Energy Future Holdings, TXManaged infrastructure code maintenance as a member of the platform operations team, ensuring the stability and reliability of the underlying infrastructure.Utilized Ansible automation code for launching instances, streamlining deployment processes and ensuring consistency.Converted all Jenkins jobs to Jenkins Pipelines, enhancing the efficiency and maintainability of the CI/CD process through the Jenkins-pipelines repository.Prepared a Jenkins job for weekly instance shutdown, contributing to cost optimization strategies by reducing unnecessary resource consumption.Converted ELB (Elastic Load Balancers) to ALB (Application Load Balancers) using Ansible scripts and reprovisioned instances through Jenkins for improved load balancing and application delivery.Utilized Datadog for monitoring purposes, creating dashboards and alerts for proactive issue identification.Set up the SonarQube development environment from automation code, ensuring code quality and security checks are integrated into the development process.Worked extensively with Docker containers for Jenkins jobs and SonarQube, leveraging containerization for application deployment and scalability.Used RabbitMQ for communication between two applications, facilitating real-time data exchange.Set up ECS (Elastic Container Service) clusters for running microservices and pushed microservices into production with ECS-backed infrastructure. Developed automation for ECS clusters using Ansible playbooks.Experience in setting up and configuring an Enterprise Jenkins platform, including the provisioning of Jenkins CI/CD pipelines for developer communities using automated templates.Implemented AWS solutions using a wide range of services, including EC2, S3, RDS, EBS, Lambda, Elastic Load Balancer, and Auto Scaling Groups.Coded Groovy domain classes to handle business logic and wrote JUnit test cases for testing services implemented in Grails and Groovy.Successfully migrated existing systems to AWS using the snapshot method for EBS volumes, ensuring data continuity.Handled Azure services including Azure Storage, Blob Storage, File Storage, and set up Azure CDN and load balancers.Set up databases in Google Cloud Platform (GCP) using RDS, storage using S3 buckets, and configured instance backups.Prototyped CI/CD systems with GitLab on Google gope Engine (GKE) using Kubernetes and Docker for efficient build, test, and deployment workflows.Worked across DEV, QA, UAT, PROD systems in addition to managing requests and tickets for IT process management through Remedy ticketing tool Launched LAMP stacks in multitier AWS instances in different subnets in Amazon VPC, attached ACL's and Security Groups to maintain high security.Worked on enhancing the existing web applications and adding new features to improve the user experience and performance of the applications.Involved in creating and configuring CI/CD pipelines to deploy the code from Git Hub to web servers in fully automated way to avoid manual efforts.Worked on setting up CI/CD pipelines using Jenkins, GIT, and integrated with cloud hosted application infrastructure.Involved in analytical, problem solving, troubleshooting discussions, performance tuning and conducting root cause analysis for various applications and Incidents.Experienced in troubleshooting various Incidents, debugging the issues, identifying the root cause, and fixing the issues in production systems.Responsible for periodic upgrades, security patches, monitoring and running daily and weekly health check reports of various applications and send to Stakeholders.Worked on testing and debugging the software, whenever problems arise.Created and managed user accounts in IPA (Identity Management) and assigned them to required groups, ensuring proper access control.Utilized Chef to automate the deployment of JAVA applications on Apache Tomcat and Oracle WebLogic servers, optimizing the CI/CD process. Additionally, developed Puppet Modules for the installation and auto-healing of various tools, ensuring seamless operation on both Windows and Linux platforms.Conducted regular security assessments and implemented best practices for securing Azure resources and applications.Strong experience with Azure DevOps Services (formerly VSTS) for continuous integration, continuous deployment, and release management.Environment: AWS, SQS, S3, IAM, VPC, ALB, Load balancers, Target groups, Linux, Jenkins, GITLAB, Ansible, IPA, Nexus, Cloud Checker, Kibana, Logstash, Terraform, Shell, NoSQL, SQL, RabbitMQ, IBM WebSphere Application Server, Apache Tomcat, JBoss, Groovy, NLB, Azure, GCP.DevOps Engineer July 2019 - June 2021Caterpillar Inc, IndiaResponsible for the Amazon AWS Cloud Administration which includes services like: EC2, S3, Glacier, EBS, VPC, ELB, RDS, IAM, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, CloudFormation, Security Groups.Worked on Continuous Integration (CI) and Continuous Delivery (CD)using Jenkins.Participated in software development processes with quality assurance, version control and build process.Developed, maintained, and provided technical expertise to transfer knowledge, information to clients and service providers.Managed database integration issues including migration between disparate databases using SQL Server Integration Services and validated already developed Python reports.Administered and Configured Jenkins for managing Bi-weekly Build, Test and Deploy chain GIT with Dev/Test/Prod Branching Model for weekly releases.Manage source code, software builds, software versioning, & defect tracking on software maintenance tasks/projects.Evaluated comprehensive analytical reports by utilizing analytical tools like Power BI, Tableau and Excel features such as pivot tables, complex charts and graphs, lookups, complex formulas as per the business requirements.Provisioned and Managed Application infrastructures hosted on AWS Cloud and ensured high availability, reliability, scalability, and fault tolerance.Created and maintained Operations runbook in Confluence for various critical applications and handed over to Operations teams for monitoring.Responsible of Writing playbooks for automation of tasks using Ansible. Deployed microservices, including provisioning AWS environments using Ansible Playbooks. Provisioned load balancer, auto-scaling group and launch configuration for microservices using Ansible.Utilized Chef to automate the deployment of JAVA applications on Apache Tomcat and Oracle WebLogic servers, optimizing the CI/CD process.Developed Puppet Modules for the installation and auto-healing of various tools, ensuring seamless operation on both Windows and Linux platforms.Implemented infrastructure automation through Puppet, enabling auto-provisioning, code deployments, software installation, and configuration updates.Demonstrated expertise in handling Cloud Environments, including AWS and OpenStack, with a focus on application migration to AWS.Utilized Maven Nexus Repository to upload build artifacts after successful builds, ensuring artifact availability and reliability.Designed and configured Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing.Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets.Exposed Virtual machines and cloud services in the VNets to the Internet using Azure External Load Balancer.Implemented high availability with Azure Classic and Azure Resource Manager deployment models. Environment: DevOps, Java/J2EE, jQuery, Tomcat, Apache, Oracle 11g, Jenkins, Python, Ruby Chef, JIRA, Confluence, Remedy, Maven, Artifactory, GITHUB, Ubuntu, CentOS, Linux, AWS ELB, AWS SQS, AWS S3, AWS Cloud Formation Templates, AWS RDS, AWS Cloud Watch, Ruby, Power Shell, Chef, IBM WebSphere Application Server, Apache Tomcat, JBoss. |
