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Click here or scroll down to respond to this candidateLooking for C2C/C2HCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLEProfessional SummaryOver 9+ years of experience as DevOps Engineer/Build and Release Engineering in automating the build and deployments of applications within cloud infrastructure running on AWS.Experience with AWS Services like EC2, VPC, Subnets, Route53, ELB, Auto-scaling, AMIs, IAM, S3, RDS, Lambda etc, and worked on creating and configuring the VPCs in AWS and provisioned the EC2 instances inside the subnets. Secured the EC2 instances using Security Groups and Subnets using NACLs.Setup Kubernetes infrastructure consisting the control machine and nodes. Installed the kubeadm, kubectl, kubelet utilities to manage the Kubernetes container clusters.Experience in writing the SOQL queries. knowledge in Salesforce configuration, data migration, system integration and familiarity with Visualforce (Pages, Components, Controllers) MVC architecture and Apex (Classes, Controllers & Triggers).Build and administered vCenter 4.1/5.0 and performed troubleshooting on issues related to Virtual Machine, vMotion, snapshots, clone and templates.Good experience in teh design and implementation of fully automated Continuous Integration, Continuous Delivery, Continuous Deployment pipelines and DevOps processes for Agile projects (CI/CD).Worked on Kubernetes services like Deployments, Applications, Pods, ConfigMaps, Vault, Nodes. Developed YAML scripts to rollout the deployments in Kubernetes.Administered Ansible Tower, created roles, provided access to users, tuned the ansible to work with ssh and winrm to manage more than 2000 nodes.Written the Ansible plays to manage the OS configurations and middleware installations, and version controlled the ansible playbooks using Git VCS.Worked on setting up puppet master with compile masters to manage thousands of nodes consisting the Centos, RHEL, Windows and Solaris Operating systems.Installed the Docker Engine and created the containers running the Tomcat application server. Used the Docker-files to create the custom images and pushed the custom images to local docker registry.Designed and Implemented CI & CD Pipelines using Git, Jenkins, Maven, ECR and EKS from scratch achieving theend to end automationfromcode check intodeploying docker images to EKS clusters.Experience with Terraform Cloud management tool and provisioned the AWS infrastructure using terraform. Worked with Ansible playbooks for virtual and physical instance provisioning, configuration management, patching and software deployment.Experience in using New Lightning UI to bring Salesforce into the responsive UI era of web applications.Worked with monitoring and management tools like Nagios and Cloudwatch.Expertise in Cloud Infrastructure Automation which includes Amazon Web Services (AWS), Ansible, Maven, Docker, Jenkins, Harness, Terraform, GitHub, AppDynamics, Nessus, Tomcat, and LINUX etc.Perform maintenance and troubleshooting of our enterprise Redhat OpenShift systemsExperience on complete AEM Technology Stack and Architecture including Author instance, Publish instance, CRXDE, CRXDE - Lite, Templates, Components, CRX/OAKExtensively worked in Jenkins and Gitlab for continuous integration and for End to End automation for all build and deployments. CI/CD experience using Jenkins, GitHub, Artifactory, Nexus, S3 and Maven (MVN).Experience in enterprise installing, configuring and running standard logging tools like Splunk and Kibana using forwarder agents.Worked with various vendors such as X15 and Delphix, Lily and Zoom data for proof of concepts (POCs)Have good working knowledge in querying salesforce.com database using SOQL & SOSL queries using Force.com Explorer.Utilized AWS ECR as docker image repository and used AWS ECS to deploy docker container to AWS Fargate and on EC2.Experience in administering, integrating, supporting middleware technologies like WebSphere Application Server, WebSphere Portal Server, Tomcat, JBOSS & WebSphere MQ and web servers IHS, Apache HTTP on wide variety of platforms like Solaris, Linux and windows.Hands on experience in AWS services for deploying EC2 instances with various flavors including Amazon Linux AMI, RHEL, SUSE Linux, Ubuntu as well as creating ELBs and auto scaling to design cost effective, fault-tolerant and highly available system.Experience in setting up CI/CD pipeline integrating various tools with CloudBees Jenkins to build and run Terraform jobs to create infrastructure in AWS.Machine learning and GPU utilization for general computing.Extensively worked With VMware ESXi 5.1/5.5/6.0, vCenter Server, Host Clustering with HA, DRS, ReplicationExtensively worked on Continuous Integration and deployment using various CI Tools like Jenkins, Puppet, Chef, Ansible, Hudson, Bamboo and Sonatype Nexus.Hands on experience with Atlassian with Nexus Artifacts management and Nexus IQ installationSkilled in working with Azure DevOps (ADO) for project management, version control, and continuous integration/continuous deployment (CI/CD) pipelines.Experience in setting up Baselines, Branching, Merging and Automation Processes using Python, Shell and Batch Scripts.Having knowledge in Amazon EC2, S3, VPC, RDS, Elastic Load Balancing, Autoscaling, IAM, SQS, SWF, SNS, Security Groups, Lambda, Cloud Watch services.Experience in and demonstrated understanding of source control management concepts such as Branching, Merging, Labeling/Tagging and Integration.Worked with Change Management Tool like Service Center and Service Manager and documented changes going into production with their details for auditing purpose.Understanding of various technologies including, applications, databases, networking, telecommunications and connectivity Release Deployment.Worked with serverless architecture using AWS Lambda and API Gateway, reduction in response time and a scalable solution that accommodated a 3x increase in user traffic.Proficiency in Debugging and troubleshooting. Great ability to write clear, maintainable, well-documented, well-commented and efficient commands for WebLogic.Strong administrative skills in Salesforce configuration tasks such as creating apps, objects, fields, profiles, roles and users.Extensive experience in setting up CI/CD pipelines using tools such as Jenkins, TeamCity, Maven, Nexus, Slack and VSTS.Zookeeper, journal Nodes, Hadoop HA, Hadoop HA Federation, Hue, MapReduce, HBase, Hive, Apache Ranger, Apache Sentry, Kerberos and Apache Knox.Experience in serverless AWS Lambda functions using a combination of CloudFormation templates and Terraform modules, ensuring a seamless integration of infrastructure as code practices for efficient application deploymentImplemented continuous deployment using Ansible, Terraform, Docker, and CloudBees Jenkins to support application suite deployment into staging environment.Good analytical, problem solving, communication skills and have the ability to work either independently with little or no supervision or as a member of a team.Technical SkillsScripting LanguagesShell, PythonWeb ServersAmazon AWS, Apache, Tomcat, Jboss, WebSphere, WebLogic, IIS, SharePoint, VMWareOperating ServersLinux 6X/7X, Centos 6/7, UNIX Solaris 10/11, RedHat 4/5/6/7DatabasesMongoDB, Orient DB, MS Access, MS SQL Server, Oracle 8/10.0SCM ToolsGIT, ClearCase NT/Unix, ClearQuest 2007, Visual Safe, CVS, Microsoft Team FoundationBuild ToolsMaven, Bamboo, JIRA, Nexus, HarnessTesting ToolsLoadRunnerVersion ControlSubversion (SVN), GIT, Perforce, SubclipseContainer OrchestrationDocker Swarm, Kubernetes, AWS ECSCI ToolsJenkins, GitLab CI/CD, Harness, Cloudbees Jenkins.Professional ExperienceTencent Santa Clara, CASystem Engineer Jan 2023 PresentResponsibilities:Automated the CI/CD pipeline process by integrating the Docker with Jenkins by pulling the source code from GitHub repository and configured SonarQube for code coverage and Sonar Metrics in the pipeline for quality of unit test cases by using Coverage plugins and generated build using Maven.Automated deployment workflows in GitHub Actions to ensure consistent and error-free releases of software and infrastructure changes.Designed and implemented scalable architectures for self-hosted runners on AWS, leveraging features such as Auto Scaling Groups, Load Balancers, and Spot Instances to handle varying workload demands.Implemented fault-tolerant configurations and disaster recovery plans for self-hosted runners using AWS services like AWS Backup, AWS CloudFormation, or third-party backup solutions.Deployed serverless functions using AWS Lambda for backend processing tasks and integrated them with Node.js applications, reducing infrastructure overhead.Experience in converting Physical standalone servers to Virtual servers using VMWare vCenter Converter Standalone Client.Utilized Kubernetes to deploy scale, load balance, scale and manage Docker swarm with multiple name spaced versions.Developed Docker files for containerizing microservices, ensuring isolation and reproducibility.Involves in Configure / Maintain AEM environment and development using AEM.Write basic PowerShell scripts.Monitoring AWS instances regularly using Cloudwatch and New Relic tools.Migrated various applications like Java, UI, .NET and Node Applications to Enterprise Cloudbees Jenkins.Work to continuously improve speed, efficiency and scalability of OpenShift systemsImplementing a continuous delivery framework using Jenkins and Maven in teh Linux environment.Creating a fully automated build and deployment Platform and coordinating code builds promotions and orchestrated deployments using Jenkins, Harness and GitHub.Migrated 4 applications from React Native to Flutter.Jenkins, BitBucket to perform Salesforce and mule module deployments.Configured Salesforce.com security profiles and custom object supporting integration and quote featured enhancement.Basic scripting done in Bash, Python, Perl,K-shell, Power shell for automated tasks.Responsible for Designing, Building, installation, configuration, tuning, security, backup, recovery and upgrades of RedHat & IBM AIX.Setting up teh Jenkins, Azure DevOps CICD, Aws Code Deploy pipelines as a self-service portal for IAC Automation.Orchestrated Docker containers using Kubernetes, leveraging features like pods, deployments, and services for scalability and high availability.Developed and enforced IAM policies and standards aligned with industry best practices and regulatory requirements such as GDPR, HIPAA, or PCI DSS.Set up CI/CD pipelines for Microservices and integrated tools such as Maven, Bitbucket, SonarQube, Nexus, Docker, Slack for providing immediate feedback to DEV teams after code check-in.Demonstrated expertise in both Linux and Windows operating systems, including system administration, troubleshooting, and optimization for diverse IT environments.Designed and implemented a robust CI/CD pipeline using GitHub Actions to automate the build, test, and deployment processes for software applications.Designed YAML configuration files for Kubernetes resources such as deployments, services, and ingresses, ensuring smooth application deployment and management.Streamlined deployment processes by creating Helm charts, facilitating version control and simplified configuration management of Kubernetes applications.Developed CI/CD system with CloudBees Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the CI/CD system to build, test and deploy. Used Grafana for Dashboards and visualization of Kubernetes Cluster.Managing VM's using VMware vCenter: Creating templates, Cloning VMs, VMotion.Utilized YAML configurations to define pipeline workflows, ensuring consistent and efficient software delivery.Integrated Salesforce CRM and the legacy system using Cast Iron Integration Systems.Automated logging and monitoring using Amazon CloudWatch and AppDyamic.Expertise in configuring teh monitoring and alerting tools according to teh requirement like Prometheus and Grafana, setting up alerts and deployed multiple EKS dashboards for various microservices in K8's.Worked on various Unix/Linux clusters such as Oracle RAC, SAP service guard S2S and Local, Service guard CFS S2S and Local, Linux VCS HA Cluster S2S.Created PowerShell script that monitored Oracle Enterprise Manager Status and emailed results.Created dynamic routing/load balancingcapability, allowingfor large application scaling, used ingress rules, and a Network Load Balancer wif teh NGINX Ingress Controller on Amazon EKS.Integrated Splunk and ELK for comprehensive log aggregation, analysis, and visualization, ensuring real-time insights into system performance and troubleshooting capabilities.Utilized Terraform to provision infrastructure as code, automating the deployment of Kubernetes clusters and associated resources across multiple cloud providers or on-premises environments.Implemented infrastructure configurations using Terraform modules, promoting reusability and maintainability while ensuring consistency and scalability of the underlying infrastructure.Performed OS installations, OS Upgrades, & Server Patching by configuring PXE & DHCP server using Kickstart & Jumpstart scripts on RedHatLinux 5.x, 6.x & 7.xImplemented Prometheus and Grafana for metrics monitoring and visualization, setting up custom dashboards to track key performance indicators and ensure optimal resource utilization.Responsible for creating/managing automation of Build Process, Administration Tasks, Dynamic Scaling, Virtualization, Containerization and policy based services using PowerShell, ARM scripting with JSON template.Setting up Kubernetes (k8s) Clusters for running micro-services and pushed micro-services into production with Kubernetes backed Infrastructure. Development of automation of Kubernetes clusters with playbooks in Ansible.Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deploying application containers.Implemented the automated Nagios in Ops environment for alerts & email notifications using Python script & executed them through Ansible.Managed Sonatype Nexus repositories to download the artifacts (jar, war & ear) during the build.Strong hands on experience on k8s concepts and implemented features such as hpa (horizontal pod autoscaling), Kubernetes secrets, readiness probe & liveliness probe, Daemon sets, Config-maps, etc.Executed apex scripts in various Salesforce environments to test and complete the new functionalities developed by the developer teams.Utilized Helm charts for packaging and deploying microservices on Kubernetes clusters, streamlining the deployment process and promoting infrastructure-as-code practices.Proficient in Java and Python programming languages, with extensive experience in developing scalable and robust applications.Skilled in designing and implementing microservices architecture to enhance application modularity and flexibility.Used AWS ECR as docker images repository and used Github/Bitbucket, ansible and Jenkins to setup docker image build pipeline that builds docker image and push the image to AWS ECR target repositoryAutomated the deployment of dispatcher configurations using udeploy in AEM.Installing and configuring Hadoop eco system like HBase, hive.Installed and Configured Nexus to manage the artifacts in different Repositories.Deployed Kubernetes clusters using Amazon EKS, leveraging managed Kubernetes control plane for simplified cluster management and scalability.Integrated AWS IAM for fine-grained access control and authentication within the EKS cluster, ensuring secure communication and resource isolation.Hosted Docker container images in Amazon ECR, providing a secure and scalable repository for storing and managing Docker images used in the project.Implemented lifecycle policies in ECR to automate image cleanup and reduce storage costs, ensuring efficient resource utilization.Develop, Maintain, update various script for services (start, stop, restart, recycle, Cron jobs) Unix based Korn shell, Bash.Experienced in creating shell scripts for canary and full deployment through Harness.Expertise in writing Hadoop Jobs for analyzing data using MapReduce, Hive &Pig.Configured and managed two to six node active/active CFS cluster with Veritas Storage Foundation.Installing WebLogic/tomcat application, deployment of WAR, JAR, and EAR files across all the environments through Ansible playbooks. Configured Spark Standalone and Cassandra Multi-node Clusters using Ansible.Managed Ansible playbooks and inventory which are the entry point for Ansible provisioning and management where the automation is defined through tasks and run Ansible scripts to provision servers.Integrated Ansible Tower with Jenkins to quickly deploy critical applications, managed changes and provided encryption needed for task files with Ansible Vault.Setup SCM Polling for Immediate Build with Maven and Maven Repository (Nexus Artifactory) by installing Jenkins Plugins for GIT Repository.Composed python and shell scripts to do all CI/CD using Jenkins, Git in GitHub, to access the databases to retrieve and archive data and to improve application security.Used ELK (Elastic Search, LogStash, Kibana) to see logs information, monitor, security and get the health notifications from nodes. Automated the installation of ELK agent (file beat) with Ansible playbook.BNY Mellon San Jose, CASystem Engineer Mar 2022 Dec 2022Responsibilities:Involved in deploying the content Cloud platform on Amazon AWS using EC2, S3, and EBS. Evaluate Chef framework and tools to automate the Cloud deployment and operations.Automated change management processes using GitHub Actions to streamline the approval and deployment of IaC changes.Integrated notifications and notifications to ensure all stakeholders were informed and engaged in the change management workflow.Launched Different EC2 Virtual Servers in public cloud using AWS Auto-scaling & prebaked Amazon Machine Images (AMI) through Ansible Playbooks & Roles to maintain the production environment all times highly available. Used CloudWatch for monitoring the server's (AWS EC2 Instances) CPU utilization and system memory.Worked on installation of Apache AEM dispatcher and configuration of the dispatcher to AEM instance.Implemented AWS Lambda workflow and created functions to assign roles using python scripts to interact with application.Implemented automation along with Boto3, provisioned by Terraform and Ansible for performing various tasks like encrypting EBS volumes, backing AMI's and scheduling Lambda functions which triggers routine AWS tasks by using bash and python scripts.Performed Vmotion using the VCenter 5.0 on the ESX machines for migrating the VMs online.Deployed and managed Kubernetes clusters using various deployment methods such as kubeadm, kops, or managed Kubernetes services (e.g., AKS, EKS, GKE), ensuring high availability, scalability, and resilience of containerized workloads.Worked on various Unix/Linux clusters such as Oracle RAC, SAP SG S2S and Local Service guard CFS S2S and Local, Linux VCS HA Cluster S2S.Used CLOUDWATCH for monitoring AWS cloud resources and the applications that deployed on AWS by creating new alarm, enable notification service.Worked with RedHat OpenShift Container Platform for Docker and Kubernetes. Used Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple namespace versionsWrote tools using PowerShell and Java script to increase workflow and productivityParticipated in Cloudbees Jenkins POC and Implemented Cloudbees Jenkins in Organization as an Admin Role.Implementing a Continuous Delivery framework using Jenkins, Puppet and Maven & Nexus in Linux environment.Used New Lightning UI to bring Salesforce into the responsive UI era of web-based applications.Proficient in Kubernetes concepts such as Pods, Deployments, Services, Stateful Sets, Daemon Sets, and Ingress controllers, orchestrating containerized applications efficiently across clusters.Developed and managed Infrastructure as Code (IaC) pipelines using GitHub Actions and Terraform to automate infrastructure provisioning and configuration.Ensured infrastructure changes were version-controlled and could be easily reproduced in multiple environmentsLaunched LAMP stacks in multitier AWS instances in different subnets in Amazon VPC, attached ACL's and Security Groups to maintain high security.Created S3 buckets and managed policies and utilized S3 bucket and Glacier for storage and archiving, automated application deployments in the cloud using Docker technology using Elastic Container Service scheduler.Created and managed a Docker deployment pipeline for custom application images in the cloud using Jenkins, maintained and managed nomad and consul key value storage for micro-service architecture using Docker for services.Automated infrastructure and deployment with Terraform, Harness, Ansible, Jenkins.Experience in upgrading Atlassian products like Confluence, JIRA Administration experience with customizing JIRA projects with various schemas, complex workflows, screen schemes, permission schemes, and notification schemes etc.AEM AEM Configured S3 versioning and lifecycle policies to and backup files and archive files in Glacier.Worked with various services of AWS: EC2,VPC,ELB, DMS,Security Groups, Autoscaling, Route53,EBS, S3, Lambda, ECR, SNS, EKS,IAM, etc.Utilized AWS Lambda for executing serverless functions, enabling event-driven architectures and reducing the need for traditional server provisioning and managementInstalled packages on remote Agent less nodes through Ansible playbooks with Ansible roles. Used file modules in Ansible playbooks to copy / remove / modify the files on agent less remote servers from Ansible control server.Downloaded and managed Ansible roles from Ansible Galaxy to automate the infrastructure, installed Ansible-Galaxy CLI and used it to install Ansible roles and used ad-hoc mode to make small changes on remote nodes.Implemented Test Driven Development process that relies on the repetition of a very short development cycle as well as responsible for versioning the source code, releasing binary files, creating & applying labels on source files and release files.Shell scripting for database startups, backups using bash shell scriptingDeveloped Python scripts to automate log rotation of multiple logs from webservers and to create APIs for applications within AWS.Setting up Users, Groups and assigning Permissions through Policies to the Users & Groups in AWS IAM to provide granular level access control.Installed Jenkins as continuous integration server, integrated JENKINS with GIT HUB source code repository and maintained builds continuously when the developer check-in their code and managed Jenkins plugins for Tests, Reports, Notification, User Authorization & Deployment.Deployed and configured Chef Server including bootstrapping of chef client nodes for provisioning server using Knife. Created roles, recipes, cookbooks and data bags for server configuration.Wrote wrapper scripts to automate deployment of cookbooks on nodes and running the chef client on them in a Chef-Solo environment.Engineered and executed advanced CI/CD strategies using AWS CodePipeline, seamlessly integrating with Jenkins for continuous integration and AWS Lambda for serverless deployment hooks, significantly enhancing deployment automation and reducing time-to-market for new features.Configured various jobs in CloudBees Jenkins for deployment of Python/Java based applications and performed static code analysis using Sonarqube.Used ticketing tool JIRA to Create tickets, generate reports on different bug issues and tickets and worked on POCs which were documented on Confluence.Performed Sass-platform development for iOS/droid using Flutter Xamarin/IonicDeployed Java/J2EE applications on to Apache Tomcat application servers and configured it to host the website for various deployments.Indigo Airlines Hyderabad, IndiaSystem Engineer Oct 2019 Aug 2021Responsibilities:Working with Cloud technologies like AWS (IaaS), SFDC (SaaS) with services including AWS EC2 Reserved Instances & On-Demand Instances, AWS VPC, AWS IAM, AWS S3 (Life Cycle & Versioning), AWS Cloud Formation, AWS Auto Scaling, AWS EIP, RDS, Route53 & Elastic Load Balancing.Deploying Siebel applications on AWS EC2 Reserved Instances, writing the AWS Cloud Formation JSON templates for automating the launching of EC2 Resource types.Managed and optimized system and application monitoring using Datadog, a leading cloud-based observability platform.Created and maintained custom dashboards, alerts, and monitors to provide real-time insights into application performance and infrastructure health.Designed and implemented automation scripts in Python and PowerShell to streamline system provisioning, configuration management, and monitoring tasks, reducing manual efforts by 40%.Utilized Jenkins plugins for Docker and Kubernetes integration to build and deploy containerized applications to Kubernetes clusters.Collaborated with vendors and third-party providers to integrate IAM solutions, evaluate new technologies, and address security gaps, ensuring a robust and scalable IAM ecosystem.Integrated Kubernetes with CI/CD pipelines (e.g., Jenkins, GitLab CI/CD, GitHub Actions) to automate build, test, and deployment workflows for containerized applications, enabling rapid and reliable software delivery.Proficient in implementing Infrastructure-as-Code (IaC) principles using Terraform and CloudFormation.Demonstrated experience in writing and managing Terraform configurations or CloudFormation templates for automated provisioning.Implemented Docker containerization for Java applications, optimizing resource utilization and enabling consistent development-to-production environments across teams.Implemented Kubernetes manifests (YAML/JSON) and Helm charts to define and deploy infrastructure and application configurations declaratively, enabling version control and reproducibility of deployments.Configured Kubernetes networking components (e.g., CNI plugins, Service networking, Ingress controllers) and implemented service mesh technologies (e.g., Istio, Linkerd) to manage microservices communication, load balancing, and security.Administering and monitoring of AWS Identity and Access Management Service for access control, monitoring and maintaining various users and groups.Installation, Management and Administration of provisioning Puppet, using pre-written Modules through Puppet Forge & building Custom Puppet Classes & Puppet Modules. Administering, Maintenance of Puppet Master and Puppet Nodes and their SSL certificates.Used Hiera setup global variables & creating custom factor variables and worked on Puppet DSL and Puppet Resource Types and their relationships.Verizon Chennai, IndiaSystem Engineer Apr 2016 Sep 2019Integrated IAM roles and policies to grant appropriate permissions for accessing AWS services and resources from self-hosted runners securely.Monitored EC2 instance health, performance metrics, and utilization using AWS CloudWatch and custom monitoring tools to proactively address performance bottlenecks and resource constraints.Set up monitoring and logging solutions for Kubernetes clusters using tools like Prometheus, Grafana, and ELK Stack, monitoring cluster health, resource utilization, and application performance.Implemented Kubernetes RBAC (Role-Based Access Control), network policies, and pod security policies to enforce least privilege access, network segmentation, and container security best practices.Working with Cloud technologies like AWS (IaaS), SFDC (SaaS) with services including AWS EC2 Reserved Instances & On-Demand Instances, AWS VPC, AWS IAM, AWS S3 (Life Cycle & Versioning), AWS Cloud Formation, AWS Auto Scaling, AWS EIP, RDS, Route53 & Elastic Load Balancing.Implemented modular and reusable code patterns in Python and Terraform modules to streamline infrastructure provisioning and configuration management, promoting code maintainability and scalability.Deploying Siebel applications on AWS EC2 Reserved Instances, writing the AWS Cloud Formation JSON templates for automating the launching of EC2 Resource types.Managed and optimized system and application monitoring using Datadog, a leading cloud-based observability platform.Created and maintained custom dashboards, alerts, and monitors to provide real-time insights into application performance and infrastructure health.Integrated Jenkins with version control systems such as Git and GitHub for source code management and triggering automated builds based on code changes.Configured Jenkins job DSL (Domain-Specific Language) and Jenkinsfile to define pipeline workflows as code, enabling version-controlled and reproducible builds.Utilized Jenkins plugins for Docker and Kubernetes integration to build and deploy containerized applications to Kubernetes clusters.Implemented Docker containerization for Java applications, optimizing resource utilization and enabling consistent development-to-production environments across teams.Administering and monitoring of AWS Identity and Access Management Service for access control, monitoring and maintaining various users and groups.Implemented Kubernetes manifests (YAML/JSON) and Helm charts to define and deploy infrastructure and application configurations declaratively, enabling |
